×

onto their calendar in one shot. And I have good news for parents with iPhones — the new Siri can finally do this.

After stumbling through its first launch of an AI-imbued Siri, Apple is trying again. The newly upgraded Siri AI can chat with you about what might be killing the roses in your yard, put together a shopping list for the hardware store, and set a reminder to lay down some compost in that flower bed. It can reference information in your email and calendar to make its recommendations or provide an actually helpful answer to the question: “When should I leave for the airport?” And yes, it can even add a list of events from an email to your calendar. I tried all of these scenarios out for myself and I saw it happen. AI Siri is for real this time.

This is like, baby’s first AI assistant stuff, but it’s huge that it actually works.

Honestly Bun Mee is my go-to, so this is a good call.

But it’s also a pretty basic set of features for an AI assistant in 2026, particularly if you compare it to what Gemini has been doing on Android for the past couple of years. Google’s chatbot has been able to add multiple calendar events from a screenshot for at least a year at this point. It’s been diagnosing plant problems and scheduling maintenance reminders for months now, if not longer. New Siri is built on Gemini models, so it makes a lot of sense that the first iteration of Siri AI feels a little bit “Gemini, circa 2025.”

Siri AI has its own flavor, though. Apple has a lot of proprietary stuff going on under the hood and in the cloud. It draws from an on-device pool of data that’s gleaned from things like email and messages. This information is indexed so Siri can tap into the relevant bits when needed. Prompts that can’t be handled fully on device are sent to Apple’s Private Cloud Compute with only the relevant pieces of personal data attached. Gemini handles personal context differently; you opt into sharing your Gmail or calendar, and then it’ll go directly to those sources to get the information when needed.

Siri AI working well depends a lot on the AI understanding context. So far, it’s doing pretty well. I asked it when I needed to return some camera gear I rented for WWDC, and it found the information from a calendar event I’d made and in an email (it’s due back Friday, for the record). Likewise, prompting it with something like “add these events to my calendar” will consistently trigger it to reference the information on my screen. So far, so good.

I couldn’t get Siri to engage in any shenanigans — I didn’t exactly stress test it, but the guardrails were strong enough to return a curt “I can’t help you with that” to a shady prompt. Fair. As a conversationalist, new Siri also seems a bit more dispassionate than Gemini. I gave them both the same prompt asking why the flowers in front of my house seemed to be wilting. They both gave wordy responses with a lot of possible causes, but Gemini’s started with “That is incredibly frustrating…” where Siri was more direct and got right into diagnosing the situation.

Siri AI’s response to my question gets to the point quicker.

Gemini sends its sympathies.

The new Siri handled my follow-up requests well, too. I asked it to recommend a garden center “near home” and it came up with a good suggestion. It also created a new reminder list with some checklist items for my garden rehab project and added a calendar event, all from a single prompt. Pretty basic stuff, but this is Siri. The fact that it works at all is a step forward that’s been years in the making.

New Siri pops up in a lot of places on the iPhone. I’ve gotten into the habit of swiping down on the homescreen and using search to get to apps, and every time I do there’s a big prompt to “search or ask” with a glowing, blinking cursor. Long pressing the wake button summons Siri from the Dynamic Island now, too, rather than presenting it as a glowing border around the screen. The changes all add up to a subtle feeling that you’re never very far away from Siri.

The changes all add up to a subtle feeling that you’re never very far away from Siri

This iteration of Siri feels like the AI assistant you’d build if you knew you couldn’t screw it up. It supports a pretty basic set of features — it’s not out here DoorDashing your burritos for you — but it actually does what’s advertised. For the company that made big promises of Siri two years ago that never materialized, that’s a big deal. “It works” and “It will actually ship to customers” are the two targets that Apple couldn’t miss here. It’s only in a developer beta now, but it’s realer than the first AI Siri we were shown at WWDC ever was. Apple needs this version of Siri to earn back trust. And based on what I’ve seen so far, this looks like a small step toward getting that trust back.

Photography by Allison Johnson / The Verge

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Siri #worksAI,Apple,Hands-on,Reviews,Tech,WWDC 2026"> I tried Siri AI, and so far it actually worksParents want one thing, and one thing only, out of AI: to add a list of soccer games or “spirit week” theme days from an email or a poorly formatted flyer onto their calendar in one shot. And I have good news for parents with iPhones — the new Siri can finally do this.After stumbling through its first launch of an AI-imbued Siri, Apple is trying again. The newly upgraded Siri AI can chat with you about what might be killing the roses in your yard, put together a shopping list for the hardware store, and set a reminder to lay down some compost in that flower bed. It can reference information in your email and calendar to make its recommendations or provide an actually helpful answer to the question: “When should I leave for the airport?” And yes, it can even add a list of events from an email to your calendar. I tried all of these scenarios out for myself and I saw it happen. AI Siri is for real this time.This is like, baby’s first AI assistant stuff, but it’s huge that it actually works.Honestly Bun Mee is my go-to, so this is a good call.But it’s also a pretty basic set of features for an AI assistant in 2026, particularly if you compare it to what Gemini has been doing on Android for the past couple of years. Google’s chatbot has been able to add multiple calendar events from a screenshot for at least a year at this point. It’s been diagnosing plant problems and scheduling maintenance reminders for months now, if not longer. New Siri is built on Gemini models, so it makes a lot of sense that the first iteration of Siri AI feels a little bit “Gemini, circa 2025.”Siri AI has its own flavor, though. Apple has a lot of proprietary stuff going on under the hood and in the cloud. It draws from an on-device pool of data that’s gleaned from things like email and messages. This information is indexed so Siri can tap into the relevant bits when needed. Prompts that can’t be handled fully on device are sent to Apple’s Private Cloud Compute with only the relevant pieces of personal data attached. Gemini handles personal context differently; you opt into sharing your Gmail or calendar, and then it’ll go directly to those sources to get the information when needed.Siri AI working well depends a lot on the AI understanding context. So far, it’s doing pretty well. I asked it when I needed to return some camera gear I rented for WWDC, and it found the information from a calendar event I’d made and in an email (it’s due back Friday, for the record). Likewise, prompting it with something like “add these events to my calendar” will consistently trigger it to reference the information on my screen. So far, so good.I couldn’t get Siri to engage in any shenanigans — I didn’t exactly stress test it, but the guardrails were strong enough to return a curt “I can’t help you with that” to a shady prompt. Fair. As a conversationalist, new Siri also seems a bit more dispassionate than Gemini. I gave them both the same prompt asking why the flowers in front of my house seemed to be wilting. They both gave wordy responses with a lot of possible causes, but Gemini’s started with “That is incredibly frustrating…” where Siri was more direct and got right into diagnosing the situation.Siri AI’s response to my question gets to the point quicker.Gemini sends its sympathies. The new Siri handled my follow-up requests well, too. I asked it to recommend a garden center “near home” and it came up with a good suggestion. It also created a new reminder list with some checklist items for my garden rehab project and added a calendar event, all from a single prompt. Pretty basic stuff, but this is Siri. The fact that it works at all is a step forward that’s been years in the making.New Siri pops up in a lot of places on the iPhone. I’ve gotten into the habit of swiping down on the homescreen and using search to get to apps, and every time I do there’s a big prompt to “search or ask” with a glowing, blinking cursor. Long pressing the wake button summons Siri from the Dynamic Island now, too, rather than presenting it as a glowing border around the screen. The changes all add up to a subtle feeling that you’re never very far away from Siri.The changes all add up to a subtle feeling that you’re never very far away from SiriThis iteration of Siri feels like the AI assistant you’d build if you knew you couldn’t screw it up. It supports a pretty basic set of features — it’s not out here DoorDashing your burritos for you — but it actually does what’s advertised. For the company that made big promises of Siri two years ago that never materialized, that’s a big deal. “It works” and “It will actually ship to customers” are the two targets that Apple couldn’t miss here. It’s only in a developer beta now, but it’s realer than the first AI Siri we were shown at WWDC ever was. Apple needs this version of Siri to earn back trust. And based on what I’ve seen so far, this looks like a small step toward getting that trust back.Photography by Allison Johnson / The VergeFollow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Allison JohnsonCloseAllison JohnsonPosts from this author will be added to your daily email digest and your homepage feed.FollowFollowSee All by Allison JohnsonAICloseAIPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All AIAppleCloseApplePosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All AppleHands-onCloseHands-onPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All Hands-onReviewsCloseReviewsPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All ReviewsTechCloseTechPosts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All TechWWDC 2026CloseWWDC 2026Posts from this topic will be added to your daily email digest and your homepage feed.FollowFollowSee All WWDC 2026#Siri #worksAI,Apple,Hands-on,Reviews,Tech,WWDC 2026
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onto their calendar in one shot. And I have good news for parents with iPhones — the new Siri can finally do this.

After stumbling through its first launch of an AI-imbued Siri, Apple is trying again. The newly upgraded Siri AI can chat with you about what might be killing the roses in your yard, put together a shopping list for the hardware store, and set a reminder to lay down some compost in that flower bed. It can reference information in your email and calendar to make its recommendations or provide an actually helpful answer to the question: “When should I leave for the airport?” And yes, it can even add a list of events from an email to your calendar. I tried all of these scenarios out for myself and I saw it happen. AI Siri is for real this time.

This is like, baby’s first AI assistant stuff, but it’s huge that it actually works.

Honestly Bun Mee is my go-to, so this is a good call.

But it’s also a pretty basic set of features for an AI assistant in 2026, particularly if you compare it to what Gemini has been doing on Android for the past couple of years. Google’s chatbot has been able to add multiple calendar events from a screenshot for at least a year at this point. It’s been diagnosing plant problems and scheduling maintenance reminders for months now, if not longer. New Siri is built on Gemini models, so it makes a lot of sense that the first iteration of Siri AI feels a little bit “Gemini, circa 2025.”

Siri AI has its own flavor, though. Apple has a lot of proprietary stuff going on under the hood and in the cloud. It draws from an on-device pool of data that’s gleaned from things like email and messages. This information is indexed so Siri can tap into the relevant bits when needed. Prompts that can’t be handled fully on device are sent to Apple’s Private Cloud Compute with only the relevant pieces of personal data attached. Gemini handles personal context differently; you opt into sharing your Gmail or calendar, and then it’ll go directly to those sources to get the information when needed.

Siri AI working well depends a lot on the AI understanding context. So far, it’s doing pretty well. I asked it when I needed to return some camera gear I rented for WWDC, and it found the information from a calendar event I’d made and in an email (it’s due back Friday, for the record). Likewise, prompting it with something like “add these events to my calendar” will consistently trigger it to reference the information on my screen. So far, so good.

I couldn’t get Siri to engage in any shenanigans — I didn’t exactly stress test it, but the guardrails were strong enough to return a curt “I can’t help you with that” to a shady prompt. Fair. As a conversationalist, new Siri also seems a bit more dispassionate than Gemini. I gave them both the same prompt asking why the flowers in front of my house seemed to be wilting. They both gave wordy responses with a lot of possible causes, but Gemini’s started with “That is incredibly frustrating…” where Siri was more direct and got right into diagnosing the situation.

Siri AI’s response to my question gets to the point quicker.

Gemini sends its sympathies.

The new Siri handled my follow-up requests well, too. I asked it to recommend a garden center “near home” and it came up with a good suggestion. It also created a new reminder list with some checklist items for my garden rehab project and added a calendar event, all from a single prompt. Pretty basic stuff, but this is Siri. The fact that it works at all is a step forward that’s been years in the making.

New Siri pops up in a lot of places on the iPhone. I’ve gotten into the habit of swiping down on the homescreen and using search to get to apps, and every time I do there’s a big prompt to “search or ask” with a glowing, blinking cursor. Long pressing the wake button summons Siri from the Dynamic Island now, too, rather than presenting it as a glowing border around the screen. The changes all add up to a subtle feeling that you’re never very far away from Siri.

The changes all add up to a subtle feeling that you’re never very far away from Siri

This iteration of Siri feels like the AI assistant you’d build if you knew you couldn’t screw it up. It supports a pretty basic set of features — it’s not out here DoorDashing your burritos for you — but it actually does what’s advertised. For the company that made big promises of Siri two years ago that never materialized, that’s a big deal. “It works” and “It will actually ship to customers” are the two targets that Apple couldn’t miss here. It’s only in a developer beta now, but it’s realer than the first AI Siri we were shown at WWDC ever was. Apple needs this version of Siri to earn back trust. And based on what I’ve seen so far, this looks like a small step toward getting that trust back.

Photography by Allison Johnson / The Verge

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.

#Siri #worksAI,Apple,Hands-on,Reviews,Tech,WWDC 2026">I tried Siri AI, and so far it actually works

Parents want one thing, and one thing only, out of AI: to add a list of soccer games or “spirit week” theme days from an email or a poorly formatted flyer onto their calendar in one shot. And I have good news for parents with iPhones — the new Siri can finally do this.

After stumbling through its first launch of an AI-imbued Siri, Apple is trying again. The newly upgraded Siri AI can chat with you about what might be killing the roses in your yard, put together a shopping list for the hardware store, and set a reminder to lay down some compost in that flower bed. It can reference information in your email and calendar to make its recommendations or provide an actually helpful answer to the question: “When should I leave for the airport?” And yes, it can even add a list of events from an email to your calendar. I tried all of these scenarios out for myself and I saw it happen. AI Siri is for real this time.

This is like, baby’s first AI assistant stuff, but it’s huge that it actually works.

Honestly Bun Mee is my go-to, so this is a good call.

But it’s also a pretty basic set of features for an AI assistant in 2026, particularly if you compare it to what Gemini has been doing on Android for the past couple of years. Google’s chatbot has been able to add multiple calendar events from a screenshot for at least a year at this point. It’s been diagnosing plant problems and scheduling maintenance reminders for months now, if not longer. New Siri is built on Gemini models, so it makes a lot of sense that the first iteration of Siri AI feels a little bit “Gemini, circa 2025.”

Siri AI has its own flavor, though. Apple has a lot of proprietary stuff going on under the hood and in the cloud. It draws from an on-device pool of data that’s gleaned from things like email and messages. This information is indexed so Siri can tap into the relevant bits when needed. Prompts that can’t be handled fully on device are sent to Apple’s Private Cloud Compute with only the relevant pieces of personal data attached. Gemini handles personal context differently; you opt into sharing your Gmail or calendar, and then it’ll go directly to those sources to get the information when needed.

Siri AI working well depends a lot on the AI understanding context. So far, it’s doing pretty well. I asked it when I needed to return some camera gear I rented for WWDC, and it found the information from a calendar event I’d made and in an email (it’s due back Friday, for the record). Likewise, prompting it with something like “add these events to my calendar” will consistently trigger it to reference the information on my screen. So far, so good.

I couldn’t get Siri to engage in any shenanigans — I didn’t exactly stress test it, but the guardrails were strong enough to return a curt “I can’t help you with that” to a shady prompt. Fair. As a conversationalist, new Siri also seems a bit more dispassionate than Gemini. I gave them both the same prompt asking why the flowers in front of my house seemed to be wilting. They both gave wordy responses with a lot of possible causes, but Gemini’s started with “That is incredibly frustrating…” where Siri was more direct and got right into diagnosing the situation.

Siri AI’s response to my question gets to the point quicker.

Gemini sends its sympathies.

The new Siri handled my follow-up requests well, too. I asked it to recommend a garden center “near home” and it came up with a good suggestion. It also created a new reminder list with some checklist items for my garden rehab project and added a calendar event, all from a single prompt. Pretty basic stuff, but this is Siri. The fact that it works at all is a step forward that’s been years in the making.

New Siri pops up in a lot of places on the iPhone. I’ve gotten into the habit of swiping down on the homescreen and using search to get to apps, and every time I do there’s a big prompt to “search or ask” with a glowing, blinking cursor. Long pressing the wake button summons Siri from the Dynamic Island now, too, rather than presenting it as a glowing border around the screen. The changes all add up to a subtle feeling that you’re never very far away from Siri.

The changes all add up to a subtle feeling that you’re never very far away from Siri

This iteration of Siri feels like the AI assistant you’d build if you knew you couldn’t screw it up. It supports a pretty basic set of features — it’s not out here DoorDashing your burritos for you — but it actually does what’s advertised. For the company that made big promises of Siri two years ago that never materialized, that’s a big deal. “It works” and “It will actually ship to customers” are the two targets that Apple couldn’t miss here. It’s only in a developer beta now, but it’s realer than the first AI Siri we were shown at WWDC ever was. Apple needs this version of Siri to earn back trust. And based on what I’ve seen so far, this looks like a small step toward getting that trust back.

Photography by Allison Johnson / The Verge

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
#Siri #worksAI,Apple,Hands-on,Reviews,Tech,WWDC 2026

Parents want one thing, and one thing only, out of AI: to add a list…

said on X that the storage updates would roll out to users over the next several days.

Google AI Plus launched in January as the most affordable paid AI subscription in the U.S. market, aimed at individual users and students rather than enterprise customers. Apparently that wasn’t cheap enough.

It includes a decent feature set, too, including video generation via Omni Flash; the creative studio Google Flow; and NotebookLM, Google’s AI research assistant. For heavier users, Google also offers AI Pro and AI Ultra at higher price points and usage limits.

The price cut is worth indexing on for reasons beyond Google’s own product roadmap. Subscription pricing hasn’t yet been a key battleground among AI providers in the U.S. But that’s changing in real time, suggests Chi-Hua Chien, co-founder and managing partner at consumer-focused venture firm Goodwater Capital; he sees Monday’s announcement as the next salvo in the commoditization era for AI infrastructure, pointing to Google’s structural advantages — vertical integration, distribution, the ability to bundle — as precisely the kind of force that’s likely to erode margins for purer-play AI providers over time.

The historical parallel he reaches for is instructive. “If you look at the web era, the infrastructure companies were Microsoft, Cisco, Oracle, Northern Telecom, Lucent, Akamai, Equinix,” he told TechCrunch. “A lot of those companies survived for a period of time but aren’t worth a lot today.” The reason, he said, is that during every big tech shift — from PC to web to mobile — the infrastructure players “get commoditized very aggressively because the end customer doesn’t think, ‘Ooh, are my bits moving on Cisco networking equipment?’ They’re just thinking, ‘How do I move my bits as cheaply as possible?’”

He sees the same dynamic coming in the not-too-distant future for today’s AI infrastructure layer — including the frontier model providers themselves.

“My prediction for a lot of these infrastructure companies — and when I say infrastructure, I mean an OpenAI or an Anthropic, or the backend components, energy, chips, hosting — there will be a period of time when these companies are valuable,” he said. “But over time, you will see them get increasingly commoditized.”

It’s certainly something that a bigger pool of investors will be pondering soon. Both OpenAI and Anthropic have filed confidentially to go public, and their ability to command premium valuations may soon be tested by exactly the kind of price competition Chien is describing.

That competition has been building for nearly a year in markets like India, one of the fastest-growing AI user bases in the world. OpenAI drew first blood there in August of last year, launching ChatGPT Go at roughly $4.60 a month — a fraction of its standard $20 Plus plan. Google followed in December with a sub-$5 AI Plus plan of its own for Indian users.

Monday’s announcement suggests the same logic that drove those emerging-market moves — undercut, bundle, and capture users before rivals do — has now crossed over to the U.S. market.

Anthropic, notably, hasn’t followed. Unlike OpenAI and Google, it has yet to introduce localized pricing for India or a budget tier anywhere, a move that may become harder to avoid as its rivals keep slashing prices.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #fired #warning #shot #subscription #price #wars #TechCrunchAI,google ai,Google AI Plus"> Google just fired a warning shot in the AI subscription price wars | TechCrunch
Google just made its budget AI subscription plan a lot more budget-friendly, bringing a price war that’s been brewing in emerging markets squarely to American consumers.

The company announced Monday that it is cutting the monthly price of Google AI Plus from .99 to .99 — while doubling the storage included at that tier, from 200 gigabytes to 400 gigabytes.







Vikas Kansal, product lead for Gemini AI subscriptions, said on X that the storage updates would roll out to users over the next several days.

Google AI Plus launched in January as the most affordable paid AI subscription in the U.S. market, aimed at individual users and students rather than enterprise customers. Apparently that wasn’t cheap enough. 

It includes a decent feature set, too, including video generation via Omni Flash; the creative studio Google Flow; and NotebookLM, Google’s AI research assistant. For heavier users, Google also offers AI Pro and AI Ultra at higher price points and usage limits.

The price cut is worth indexing on for reasons beyond Google’s own product roadmap. Subscription pricing hasn’t yet been a key battleground among AI providers in the U.S. But that’s changing in real time, suggests Chi-Hua Chien, co-founder and managing partner at consumer-focused venture firm Goodwater Capital; he sees Monday’s announcement as the next salvo in the commoditization era for AI infrastructure, pointing to Google’s structural advantages — vertical integration, distribution, the ability to bundle — as precisely the kind of force that’s likely to erode margins for purer-play AI providers over time.

The historical parallel he reaches for is instructive. “If you look at the web era, the infrastructure companies were Microsoft, Cisco, Oracle, Northern Telecom, Lucent, Akamai, Equinix,” he told TechCrunch. “A lot of those companies survived for a period of time but aren’t worth a lot today.” The reason, he said, is that during every big tech shift — from PC to web to mobile — the infrastructure players “get commoditized very aggressively because the end customer doesn’t think, ‘Ooh, are my bits moving on Cisco networking equipment?’ They’re just thinking, ‘How do I move my bits as cheaply as possible?’”


He sees the same dynamic coming in the not-too-distant future for today’s AI infrastructure layer — including the frontier model providers themselves.

“My prediction for a lot of these infrastructure companies — and when I say infrastructure, I mean an OpenAI or an Anthropic, or the backend components, energy, chips, hosting — there will be a period of time when these companies are valuable,” he said. “But over time, you will see them get increasingly commoditized.”

It’s certainly something that a bigger pool of investors will be pondering soon. Both OpenAI and Anthropic have filed confidentially to go public, and their ability to command premium valuations may soon be tested by exactly the kind of price competition Chien is describing.







That competition has been building for nearly a year in markets like India, one of the fastest-growing AI user bases in the world. OpenAI drew first blood there in August of last year, launching ChatGPT Go at roughly .60 a month — a fraction of its standard  Plus plan. Google followed in December with a sub- AI Plus plan of its own for Indian users. 

Monday’s announcement suggests the same logic that drove those emerging-market moves — undercut, bundle, and capture users before rivals do — has now crossed over to the U.S. market.

Anthropic, notably, hasn’t followed. Unlike OpenAI and Google, it has yet to introduce localized pricing for India or a budget tier anywhere, a move that may become harder to avoid as its rivals keep slashing prices.


When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Google #fired #warning #shot #subscription #price #wars #TechCrunchAI,google ai,Google AI Plus
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said on X that the storage updates would roll out to users over the next several days.

Google AI Plus launched in January as the most affordable paid AI subscription in the U.S. market, aimed at individual users and students rather than enterprise customers. Apparently that wasn’t cheap enough.

It includes a decent feature set, too, including video generation via Omni Flash; the creative studio Google Flow; and NotebookLM, Google’s AI research assistant. For heavier users, Google also offers AI Pro and AI Ultra at higher price points and usage limits.

The price cut is worth indexing on for reasons beyond Google’s own product roadmap. Subscription pricing hasn’t yet been a key battleground among AI providers in the U.S. But that’s changing in real time, suggests Chi-Hua Chien, co-founder and managing partner at consumer-focused venture firm Goodwater Capital; he sees Monday’s announcement as the next salvo in the commoditization era for AI infrastructure, pointing to Google’s structural advantages — vertical integration, distribution, the ability to bundle — as precisely the kind of force that’s likely to erode margins for purer-play AI providers over time.

The historical parallel he reaches for is instructive. “If you look at the web era, the infrastructure companies were Microsoft, Cisco, Oracle, Northern Telecom, Lucent, Akamai, Equinix,” he told TechCrunch. “A lot of those companies survived for a period of time but aren’t worth a lot today.” The reason, he said, is that during every big tech shift — from PC to web to mobile — the infrastructure players “get commoditized very aggressively because the end customer doesn’t think, ‘Ooh, are my bits moving on Cisco networking equipment?’ They’re just thinking, ‘How do I move my bits as cheaply as possible?’”

He sees the same dynamic coming in the not-too-distant future for today’s AI infrastructure layer — including the frontier model providers themselves.

“My prediction for a lot of these infrastructure companies — and when I say infrastructure, I mean an OpenAI or an Anthropic, or the backend components, energy, chips, hosting — there will be a period of time when these companies are valuable,” he said. “But over time, you will see them get increasingly commoditized.”

It’s certainly something that a bigger pool of investors will be pondering soon. Both OpenAI and Anthropic have filed confidentially to go public, and their ability to command premium valuations may soon be tested by exactly the kind of price competition Chien is describing.

That competition has been building for nearly a year in markets like India, one of the fastest-growing AI user bases in the world. OpenAI drew first blood there in August of last year, launching ChatGPT Go at roughly $4.60 a month — a fraction of its standard $20 Plus plan. Google followed in December with a sub-$5 AI Plus plan of its own for Indian users.

Monday’s announcement suggests the same logic that drove those emerging-market moves — undercut, bundle, and capture users before rivals do — has now crossed over to the U.S. market.

Anthropic, notably, hasn’t followed. Unlike OpenAI and Google, it has yet to introduce localized pricing for India or a budget tier anywhere, a move that may become harder to avoid as its rivals keep slashing prices.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #fired #warning #shot #subscription #price #wars #TechCrunchAI,google ai,Google AI Plus">Google just fired a warning shot in the AI subscription price wars | TechCrunch

Google just made its budget AI subscription plan a lot more budget-friendly, bringing a price war that’s been brewing in emerging markets squarely to American consumers.

The company announced Monday that it is cutting the monthly price of Google AI Plus from $7.99 to $4.99 — while doubling the storage included at that tier, from 200 gigabytes to 400 gigabytes.

Vikas Kansal, product lead for Gemini AI subscriptions, said on X that the storage updates would roll out to users over the next several days.

Google AI Plus launched in January as the most affordable paid AI subscription in the U.S. market, aimed at individual users and students rather than enterprise customers. Apparently that wasn’t cheap enough.

It includes a decent feature set, too, including video generation via Omni Flash; the creative studio Google Flow; and NotebookLM, Google’s AI research assistant. For heavier users, Google also offers AI Pro and AI Ultra at higher price points and usage limits.

The price cut is worth indexing on for reasons beyond Google’s own product roadmap. Subscription pricing hasn’t yet been a key battleground among AI providers in the U.S. But that’s changing in real time, suggests Chi-Hua Chien, co-founder and managing partner at consumer-focused venture firm Goodwater Capital; he sees Monday’s announcement as the next salvo in the commoditization era for AI infrastructure, pointing to Google’s structural advantages — vertical integration, distribution, the ability to bundle — as precisely the kind of force that’s likely to erode margins for purer-play AI providers over time.

The historical parallel he reaches for is instructive. “If you look at the web era, the infrastructure companies were Microsoft, Cisco, Oracle, Northern Telecom, Lucent, Akamai, Equinix,” he told TechCrunch. “A lot of those companies survived for a period of time but aren’t worth a lot today.” The reason, he said, is that during every big tech shift — from PC to web to mobile — the infrastructure players “get commoditized very aggressively because the end customer doesn’t think, ‘Ooh, are my bits moving on Cisco networking equipment?’ They’re just thinking, ‘How do I move my bits as cheaply as possible?’”

He sees the same dynamic coming in the not-too-distant future for today’s AI infrastructure layer — including the frontier model providers themselves.

“My prediction for a lot of these infrastructure companies — and when I say infrastructure, I mean an OpenAI or an Anthropic, or the backend components, energy, chips, hosting — there will be a period of time when these companies are valuable,” he said. “But over time, you will see them get increasingly commoditized.”

It’s certainly something that a bigger pool of investors will be pondering soon. Both OpenAI and Anthropic have filed confidentially to go public, and their ability to command premium valuations may soon be tested by exactly the kind of price competition Chien is describing.

That competition has been building for nearly a year in markets like India, one of the fastest-growing AI user bases in the world. OpenAI drew first blood there in August of last year, launching ChatGPT Go at roughly $4.60 a month — a fraction of its standard $20 Plus plan. Google followed in December with a sub-$5 AI Plus plan of its own for Indian users.

Monday’s announcement suggests the same logic that drove those emerging-market moves — undercut, bundle, and capture users before rivals do — has now crossed over to the U.S. market.

Anthropic, notably, hasn’t followed. Unlike OpenAI and Google, it has yet to introduce localized pricing for India or a budget tier anywhere, a move that may become harder to avoid as its rivals keep slashing prices.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Google #fired #warning #shot #subscription #price #wars #TechCrunchAI,google ai,Google AI Plus

Google just made its budget AI subscription plan a lot more budget-friendly, bringing a price…

Business Insider reports.

Erin Maus, a Unitarian Universalist, first sought the accommodation in April at the large tech-entertainment company where she works, which she described as progressive. She argued that using AI did not align with her religious beliefs because of environmental and ethical concerns.

Maus was granted the exemption in May, before the pope’s AI remarks.

“I’m writing my code and reviewing my code by hand, which seems crazy to say,” Maus told Business Insider. “Just two years ago, how else would you do it?”

Maus is unlikely to be the only person seeking a similar accommodation as companies increasingly invest in AI and push, sometimes even mandate, employees to use the technology. In the U.S., the share of employees who say they use AI at least a few times a year at work has nearly doubled from 21% to 40% in 2025, according to Gallup.

Now, the pope’s remarks and official theological document could give some workers a stronger argument.

“In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human,” the pope wrote in his 43,000-word encyclical titled Magnifica Humanitas, published last month.

He wrote that AI is dehumanizing society by reducing “the mystery of the person into data and performance” and called on the tech industry to avoid “the idolatry of profit that sacrifices the weak.”

The pope continued that “a slower pace in adopting AI does not mean opposing progress; instead, it is an exercise of responsible care for the human family.”

That call for a slower adoption of AI could be enough for some workers to argue they should not be required to use it on the job.

“When he’s speaking, he’s speaking as the pontiff—as a religious figure—so he’s raising these human dignity issues as religious issues, theological issues,” Jonathan Segal, an employment attorney and Duane Morris partner, told HR Brew this month. “I think it is inevitable that some employees will rely on this to say…I can’t use AI because it conflicts with a religious belief that I have.”

Under Title VII of the Civil Rights Act of 1964, employers are required to make reasonable accommodations for workers whose sincerely held religious beliefs conflict with a work requirement, unless the accommodation creates an undue hardship for the employer.

And it’s not a stretch to think some of these requests could at least get serious consideration. Just a few months ago, Rex Healthcare agreed to pay $150,000 to settle a lawsuit from the U.S. Equal Employment Opportunity Commission accusing the company of unlawfully denying a remote employee’s request to be exempted from its mandatory COVID-19 vaccine policy over religious beliefs.

“I think this opens a door—or it’s a little bit of a road map—for employees to raise concerns,” Segal told HR Brew. “What the courts have said—what the EEOC has most definitely said—is that, as the general proposition, we shouldn’t question the legitimacy [of] sincerely held religious beliefs.”

#Popes #Warning #Workers #Seek #Religious #ExemptionsAI,Pope Leo XIV,work"> The Pope’s AI Warning Could Help Workers Seek Religious Exemptions From Using AI
                Pope Leo XIV’s recent encyclical on AI could set off a wave of workers seeking religious exemptions from using the tech at work. One software engineer in North Carolina already secured one last month, Business Insider reports. Erin Maus, a Unitarian Universalist, first sought the accommodation in April at the large tech-entertainment company where she works, which she described as progressive. She argued that using AI did not align with her religious beliefs because of environmental and ethical concerns. Maus was granted the exemption in May, before the pope’s AI remarks. “I’m writing my code and reviewing my code by hand, which seems crazy to say,” Maus told Business Insider. “Just two years ago, how else would you do it?”

 Maus is unlikely to be the only person seeking a similar accommodation as companies increasingly invest in AI and push, sometimes even mandate, employees to use the technology. In the U.S., the share of employees who say they use AI at least a few times a year at work has nearly doubled from 21% to 40% in 2025, according to Gallup.

 Now, the pope’s remarks and official theological document could give some workers a stronger argument. “In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human,” the pope wrote in his 43,000-word encyclical titled Magnifica Humanitas, published last month. He wrote that AI is dehumanizing society by reducing “the mystery of the person into data and performance” and called on the tech industry to avoid “the idolatry of profit that sacrifices the weak.”

 The pope continued that “a slower pace in adopting AI does not mean opposing progress; instead, it is an exercise of responsible care for the human family.” That call for a slower adoption of AI could be enough for some workers to argue they should not be required to use it on the job. “When he’s speaking, he’s speaking as the pontiff—as a religious figure—so he’s raising these human dignity issues as religious issues, theological issues,” Jonathan Segal, an employment attorney and Duane Morris partner, told HR Brew this month. “I think it is inevitable that some employees will rely on this to say…I can’t use AI because it conflicts with a religious belief that I have.” Under Title VII of the Civil Rights Act of 1964, employers are required to make reasonable accommodations for workers whose sincerely held religious beliefs conflict with a work requirement, unless the accommodation creates an undue hardship for the employer.

 And it’s not a stretch to think some of these requests could at least get serious consideration. Just a few months ago, Rex Healthcare agreed to pay 0,000 to settle a lawsuit from the U.S. Equal Employment Opportunity Commission accusing the company of unlawfully denying a remote employee’s request to be exempted from its mandatory COVID-19 vaccine policy over religious beliefs. “I think this opens a door—or it’s a little bit of a road map—for employees to raise concerns,” Segal told HR Brew. “What the courts have said—what the EEOC has most definitely said—is that, as the general proposition, we shouldn’t question the legitimacy [of] sincerely held religious beliefs.”      #Popes #Warning #Workers #Seek #Religious #ExemptionsAI,Pope Leo XIV,work
Tech-news

Business Insider reports.

Erin Maus, a Unitarian Universalist, first sought the accommodation in April at the large tech-entertainment company where she works, which she described as progressive. She argued that using AI did not align with her religious beliefs because of environmental and ethical concerns.

Maus was granted the exemption in May, before the pope’s AI remarks.

“I’m writing my code and reviewing my code by hand, which seems crazy to say,” Maus told Business Insider. “Just two years ago, how else would you do it?”

Maus is unlikely to be the only person seeking a similar accommodation as companies increasingly invest in AI and push, sometimes even mandate, employees to use the technology. In the U.S., the share of employees who say they use AI at least a few times a year at work has nearly doubled from 21% to 40% in 2025, according to Gallup.

Now, the pope’s remarks and official theological document could give some workers a stronger argument.

“In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human,” the pope wrote in his 43,000-word encyclical titled Magnifica Humanitas, published last month.

He wrote that AI is dehumanizing society by reducing “the mystery of the person into data and performance” and called on the tech industry to avoid “the idolatry of profit that sacrifices the weak.”

The pope continued that “a slower pace in adopting AI does not mean opposing progress; instead, it is an exercise of responsible care for the human family.”

That call for a slower adoption of AI could be enough for some workers to argue they should not be required to use it on the job.

“When he’s speaking, he’s speaking as the pontiff—as a religious figure—so he’s raising these human dignity issues as religious issues, theological issues,” Jonathan Segal, an employment attorney and Duane Morris partner, told HR Brew this month. “I think it is inevitable that some employees will rely on this to say…I can’t use AI because it conflicts with a religious belief that I have.”

Under Title VII of the Civil Rights Act of 1964, employers are required to make reasonable accommodations for workers whose sincerely held religious beliefs conflict with a work requirement, unless the accommodation creates an undue hardship for the employer.

And it’s not a stretch to think some of these requests could at least get serious consideration. Just a few months ago, Rex Healthcare agreed to pay $150,000 to settle a lawsuit from the U.S. Equal Employment Opportunity Commission accusing the company of unlawfully denying a remote employee’s request to be exempted from its mandatory COVID-19 vaccine policy over religious beliefs.

“I think this opens a door—or it’s a little bit of a road map—for employees to raise concerns,” Segal told HR Brew. “What the courts have said—what the EEOC has most definitely said—is that, as the general proposition, we shouldn’t question the legitimacy [of] sincerely held religious beliefs.”

#Popes #Warning #Workers #Seek #Religious #ExemptionsAI,Pope Leo XIV,work">The Pope’s AI Warning Could Help Workers Seek Religious Exemptions From Using AIThe Pope’s AI Warning Could Help Workers Seek Religious Exemptions From Using AI
                Pope Leo XIV’s recent encyclical on AI could set off a wave of workers seeking religious exemptions from using the tech at work. One software engineer in North Carolina already secured one last month, Business Insider reports. Erin Maus, a Unitarian Universalist, first sought the accommodation in April at the large tech-entertainment company where she works, which she described as progressive. She argued that using AI did not align with her religious beliefs because of environmental and ethical concerns. Maus was granted the exemption in May, before the pope’s AI remarks. “I’m writing my code and reviewing my code by hand, which seems crazy to say,” Maus told Business Insider. “Just two years ago, how else would you do it?”

 Maus is unlikely to be the only person seeking a similar accommodation as companies increasingly invest in AI and push, sometimes even mandate, employees to use the technology. In the U.S., the share of employees who say they use AI at least a few times a year at work has nearly doubled from 21% to 40% in 2025, according to Gallup.

 Now, the pope’s remarks and official theological document could give some workers a stronger argument. “In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human,” the pope wrote in his 43,000-word encyclical titled Magnifica Humanitas, published last month. He wrote that AI is dehumanizing society by reducing “the mystery of the person into data and performance” and called on the tech industry to avoid “the idolatry of profit that sacrifices the weak.”

 The pope continued that “a slower pace in adopting AI does not mean opposing progress; instead, it is an exercise of responsible care for the human family.” That call for a slower adoption of AI could be enough for some workers to argue they should not be required to use it on the job. “When he’s speaking, he’s speaking as the pontiff—as a religious figure—so he’s raising these human dignity issues as religious issues, theological issues,” Jonathan Segal, an employment attorney and Duane Morris partner, told HR Brew this month. “I think it is inevitable that some employees will rely on this to say…I can’t use AI because it conflicts with a religious belief that I have.” Under Title VII of the Civil Rights Act of 1964, employers are required to make reasonable accommodations for workers whose sincerely held religious beliefs conflict with a work requirement, unless the accommodation creates an undue hardship for the employer.

 And it’s not a stretch to think some of these requests could at least get serious consideration. Just a few months ago, Rex Healthcare agreed to pay $150,000 to settle a lawsuit from the U.S. Equal Employment Opportunity Commission accusing the company of unlawfully denying a remote employee’s request to be exempted from its mandatory COVID-19 vaccine policy over religious beliefs. “I think this opens a door—or it’s a little bit of a road map—for employees to raise concerns,” Segal told HR Brew. “What the courts have said—what the EEOC has most definitely said—is that, as the general proposition, we shouldn’t question the legitimacy [of] sincerely held religious beliefs.”      #Popes #Warning #Workers #Seek #Religious #ExemptionsAI,Pope Leo XIV,work

Pope Leo XIV’s recent encyclical on AI could set off a wave of workers seeking religious exemptions from using the tech at work.

One software engineer in North Carolina already secured one last month, Business Insider reports.

Erin Maus, a Unitarian Universalist, first sought the accommodation in April at the large tech-entertainment company where she works, which she described as progressive. She argued that using AI did not align with her religious beliefs because of environmental and ethical concerns.

Maus was granted the exemption in May, before the pope’s AI remarks.

“I’m writing my code and reviewing my code by hand, which seems crazy to say,” Maus told Business Insider. “Just two years ago, how else would you do it?”

Maus is unlikely to be the only person seeking a similar accommodation as companies increasingly invest in AI and push, sometimes even mandate, employees to use the technology. In the U.S., the share of employees who say they use AI at least a few times a year at work has nearly doubled from 21% to 40% in 2025, according to Gallup.

Now, the pope’s remarks and official theological document could give some workers a stronger argument.

“In the era of artificial intelligence, when human dignity is threatened by new forms of dehumanization, ours is the pressing duty to remain profoundly human,” the pope wrote in his 43,000-word encyclical titled Magnifica Humanitas, published last month.

He wrote that AI is dehumanizing society by reducing “the mystery of the person into data and performance” and called on the tech industry to avoid “the idolatry of profit that sacrifices the weak.”

The pope continued that “a slower pace in adopting AI does not mean opposing progress; instead, it is an exercise of responsible care for the human family.”

That call for a slower adoption of AI could be enough for some workers to argue they should not be required to use it on the job.

“When he’s speaking, he’s speaking as the pontiff—as a religious figure—so he’s raising these human dignity issues as religious issues, theological issues,” Jonathan Segal, an employment attorney and Duane Morris partner, told HR Brew this month. “I think it is inevitable that some employees will rely on this to say…I can’t use AI because it conflicts with a religious belief that I have.”

Under Title VII of the Civil Rights Act of 1964, employers are required to make reasonable accommodations for workers whose sincerely held religious beliefs conflict with a work requirement, unless the accommodation creates an undue hardship for the employer.

And it’s not a stretch to think some of these requests could at least get serious consideration. Just a few months ago, Rex Healthcare agreed to pay $150,000 to settle a lawsuit from the U.S. Equal Employment Opportunity Commission accusing the company of unlawfully denying a remote employee’s request to be exempted from its mandatory COVID-19 vaccine policy over religious beliefs.

“I think this opens a door—or it’s a little bit of a road map—for employees to raise concerns,” Segal told HR Brew. “What the courts have said—what the EEOC has most definitely said—is that, as the general proposition, we shouldn’t question the legitimacy [of] sincerely held religious beliefs.”

#Popes #Warning #Workers #Seek #Religious #ExemptionsAI,Pope Leo XIV,work

Pope Leo XIV’s recent encyclical on AI could set off a wave of workers seeking…

in a statement.

Part of the plan involves selling $10 billion in stock to Berkshire Hathaway, the massive global holding company formerly led by Warren Buffet.

“The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply,” Alphabet said in its statement. “By scaling its investments, the company seeks to expand its foundational infrastructure to support the significant growth opportunity ahead.”

The company added that the stock plan represented a way to “fund its investments in a balanced way while retaining a healthy balance sheet.”

Like other tech giants, Google has announced plans for a massive investment in compute this year, the likes of which will be used to support a flurry of new AI services. At Google I/O last month, CEO Sundar Pichai said that the company expects to spend between $180 and $190 billion on capex before the year is out. Google and other tech giants are expected to spend as much as $700 billion this year on AI capex.

#Alphabet #plans #raise #billion #pay #buildout #TechCrunchAI,Alphabet,compute,Google"> Alphabet plans to raise  billion to pay for AI buildout | TechCrunch
Google parent company Alphabet said Monday that it plans to raise  billion to help pay for the massive AI infrastructure buildout it has planned. Alphabet will sell off that amount in stock, and will then use the funds to pay for “general corporate purposes, including capital expenditures to scale AI infrastructure and global compute,” the company said in a statement.

Part of the plan involves selling  billion in stock to Berkshire Hathaway, the massive global holding company formerly led by Warren Buffet.







“The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply,” Alphabet said in its statement. “By scaling its investments, the company seeks to expand its foundational infrastructure to support the significant growth opportunity ahead.” 

The company added that the stock plan represented a way to “fund its investments in a balanced way while retaining a healthy balance sheet.” 

Like other tech giants, Google has announced plans for a massive investment in compute this year, the likes of which will be used to support a flurry of new AI services. At Google I/O last month, CEO Sundar Pichai said that the company expects to spend between 0 and 0 billion on capex before the year is out. Google and other tech giants are expected to spend as much as 0 billion this year on AI capex.


#Alphabet #plans #raise #billion #pay #buildout #TechCrunchAI,Alphabet,compute,Google
Tech-news

in a statement.

Part of the plan involves selling $10 billion in stock to Berkshire Hathaway, the massive global holding company formerly led by Warren Buffet.

“The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply,” Alphabet said in its statement. “By scaling its investments, the company seeks to expand its foundational infrastructure to support the significant growth opportunity ahead.”

The company added that the stock plan represented a way to “fund its investments in a balanced way while retaining a healthy balance sheet.”

Like other tech giants, Google has announced plans for a massive investment in compute this year, the likes of which will be used to support a flurry of new AI services. At Google I/O last month, CEO Sundar Pichai said that the company expects to spend between $180 and $190 billion on capex before the year is out. Google and other tech giants are expected to spend as much as $700 billion this year on AI capex.

#Alphabet #plans #raise #billion #pay #buildout #TechCrunchAI,Alphabet,compute,Google">Alphabet plans to raise $80 billion to pay for AI buildout | TechCrunch

Google parent company Alphabet said Monday that it plans to raise $80 billion to help pay for the massive AI infrastructure buildout it has planned. Alphabet will sell off that amount in stock, and will then use the funds to pay for “general corporate purposes, including capital expenditures to scale AI infrastructure and global compute,” the company said in a statement.

Part of the plan involves selling $10 billion in stock to Berkshire Hathaway, the massive global holding company formerly led by Warren Buffet.

“The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply,” Alphabet said in its statement. “By scaling its investments, the company seeks to expand its foundational infrastructure to support the significant growth opportunity ahead.”

The company added that the stock plan represented a way to “fund its investments in a balanced way while retaining a healthy balance sheet.”

Like other tech giants, Google has announced plans for a massive investment in compute this year, the likes of which will be used to support a flurry of new AI services. At Google I/O last month, CEO Sundar Pichai said that the company expects to spend between $180 and $190 billion on capex before the year is out. Google and other tech giants are expected to spend as much as $700 billion this year on AI capex.

#Alphabet #plans #raise #billion #pay #buildout #TechCrunchAI,Alphabet,compute,Google

Google parent company Alphabet said Monday that it plans to raise $80 billion to help…

analysis by Linch Zhang posted on the forum LessWrong found certain paragraphs of Magnifica Humanitas to be between 40 percent and 100 percent written by AI, according to the popular AI detector Pangram.

The document includes known traits that appear in AI-generated writing, such as a higher use of the word “genuinely” — which crops up in writing by Anthropic’s Claude — than previous encyclicals, Zhang says. Another person ran the text of the document section by section through Pangram, finding that 62 percent of its first chapter was flagged as AI generated. When The Verge ran roughly 2,000 words of the document through Pangram, it estimated that 46 percent was AI-written.

AI detection isn’t foolproof

Still, other portions register as being written by humans. Zhang notes that Pangram flagged some sections as “essentially 0% AI.” The first 20 paragraphs of the last four encyclicals, when run through Pangram, had a 100 percent confidence of being human written. And a transcript of Pope Leo’s speech, run through Pangram, was also rated as 100 percent human.

AI detection isn’t foolproof. Different AI detectors can display different results, and even when there’s consensus there’s no guarantee they’re correct. But Pangram is generally respected among AI researchers. In March 2025, Pangram said it estimated its false positive rate of reporting human-written work as AI-generated “to be approximately 1 in 10,000.”

Encyclicals are lengthy letters published by the pope, meant to impart teachings that address important moral and social challenges of the time, according to The New York Times. This encyclical is the pope’s first, with the most recent one written by Pope Francis in October 2024. It’s also the first to focus on AI and its wide-ranging influences, with Pope Leo notably presenting it alongside Christopher Olah, a co-founder of Anthropic.

The Vatican didn’t immediately reply to a request for comment.

#Pope #write #dangersAI,News"> Did the Pope use AI to write about the dangers of AI?It’s possible that AI was used to write parts of Pope Leo XIV’s latest encyclical about AI’s impact on humanity. An analysis by Linch Zhang posted on the forum LessWrong found certain paragraphs of Magnifica Humanitas to be between 40 percent and 100 percent written by AI, according to the popular AI detector Pangram.The document includes known traits that appear in AI-generated writing, such as a higher use of the word “genuinely” — which crops up in writing by Anthropic’s Claude — than previous encyclicals, Zhang says. Another person ran the text of the document section by section through Pangram, finding that 62 percent of its first chapter was flagged as AI generated. When The Verge ran roughly 2,000 words of the document through Pangram, it estimated that 46 percent was AI-written.AI detection isn’t foolproofStill, other portions register as being written by humans. Zhang notes that Pangram flagged some sections as “essentially 0% AI.” The first 20 paragraphs of the last four encyclicals, when run through Pangram, had a 100 percent confidence of being human written. And a transcript of Pope Leo’s speech, run through Pangram, was also rated as 100 percent human.AI detection isn’t foolproof. Different AI detectors can display different results, and even when there’s consensus there’s no guarantee they’re correct. But Pangram is generally respected among AI researchers. In March 2025, Pangram said it estimated its false positive rate of reporting human-written work as AI-generated “to be approximately 1 in 10,000.”Encyclicals are lengthy letters published by the pope, meant to impart teachings that address important moral and social challenges of the time, according to The New York Times. This encyclical is the pope’s first, with the most recent one written by Pope Francis in October 2024. It’s also the first to focus on AI and its wide-ranging influences, with Pope Leo notably presenting it alongside Christopher Olah, a co-founder of Anthropic.The Vatican didn’t immediately reply to a request for comment.#Pope #write #dangersAI,News
Tech-news

analysis by Linch Zhang posted on the forum LessWrong found certain paragraphs of Magnifica Humanitas to be between 40 percent and 100 percent written by AI, according to the popular AI detector Pangram.

The document includes known traits that appear in AI-generated writing, such as a higher use of the word “genuinely” — which crops up in writing by Anthropic’s Claude — than previous encyclicals, Zhang says. Another person ran the text of the document section by section through Pangram, finding that 62 percent of its first chapter was flagged as AI generated. When The Verge ran roughly 2,000 words of the document through Pangram, it estimated that 46 percent was AI-written.

AI detection isn’t foolproof

Still, other portions register as being written by humans. Zhang notes that Pangram flagged some sections as “essentially 0% AI.” The first 20 paragraphs of the last four encyclicals, when run through Pangram, had a 100 percent confidence of being human written. And a transcript of Pope Leo’s speech, run through Pangram, was also rated as 100 percent human.

AI detection isn’t foolproof. Different AI detectors can display different results, and even when there’s consensus there’s no guarantee they’re correct. But Pangram is generally respected among AI researchers. In March 2025, Pangram said it estimated its false positive rate of reporting human-written work as AI-generated “to be approximately 1 in 10,000.”

Encyclicals are lengthy letters published by the pope, meant to impart teachings that address important moral and social challenges of the time, according to The New York Times. This encyclical is the pope’s first, with the most recent one written by Pope Francis in October 2024. It’s also the first to focus on AI and its wide-ranging influences, with Pope Leo notably presenting it alongside Christopher Olah, a co-founder of Anthropic.

The Vatican didn’t immediately reply to a request for comment.

#Pope #write #dangersAI,News">Did the Pope use AI to write about the dangers of AI?

It’s possible that AI was used to write parts of Pope Leo XIV’s latest encyclical about AI’s impact on humanity. An analysis by Linch Zhang posted on the forum LessWrong found certain paragraphs of Magnifica Humanitas to be between 40 percent and 100 percent written by AI, according to the popular AI detector Pangram.

The document includes known traits that appear in AI-generated writing, such as a higher use of the word “genuinely” — which crops up in writing by Anthropic’s Claude — than previous encyclicals, Zhang says. Another person ran the text of the document section by section through Pangram, finding that 62 percent of its first chapter was flagged as AI generated. When The Verge ran roughly 2,000 words of the document through Pangram, it estimated that 46 percent was AI-written.

AI detection isn’t foolproof

Still, other portions register as being written by humans. Zhang notes that Pangram flagged some sections as “essentially 0% AI.” The first 20 paragraphs of the last four encyclicals, when run through Pangram, had a 100 percent confidence of being human written. And a transcript of Pope Leo’s speech, run through Pangram, was also rated as 100 percent human.

AI detection isn’t foolproof. Different AI detectors can display different results, and even when there’s consensus there’s no guarantee they’re correct. But Pangram is generally respected among AI researchers. In March 2025, Pangram said it estimated its false positive rate of reporting human-written work as AI-generated “to be approximately 1 in 10,000.”

Encyclicals are lengthy letters published by the pope, meant to impart teachings that address important moral and social challenges of the time, according to The New York Times. This encyclical is the pope’s first, with the most recent one written by Pope Francis in October 2024. It’s also the first to focus on AI and its wide-ranging influences, with Pope Leo notably presenting it alongside Christopher Olah, a co-founder of Anthropic.

The Vatican didn’t immediately reply to a request for comment.

#Pope #write #dangersAI,News

It’s possible that AI was used to write parts of Pope Leo XIV’s latest encyclical…

gargantuan investments have been sunk and from which little to no profit has ever emerged.

“Everybody’s losing money,” said Chi Xu, the founder and CEO of the smart glasses company Xreal, which is a longtime partner of Google. I met Xu at Google’s I/O conference in Mountain View last week, where he was promoting Xreal’s Project Aura. That’s its latest effort to create a set of functional XR glasses that people actually want to use.

“That’s because it’s very hard, what we’re doing,” he said.

For much of the industry’s existence, the problems of smart glasses have seemed somewhat obvious: bulky, uncomfortable, and socially awkward form factor, paired with negligibly beneficial software. Now, however, industry insiders — including Xu — feel like their business has turned a corner and may be reaching an inflection point.

That supposed inflection point has something to do with Meta, whose 2023 partnership with Ray-Ban launched one of the first lines of models that has actually managed to sell a lot of units. (It’s worth noting, however, that the division responsible for the glasses, Reality Labs, still operates at a massive loss.)

Now, as form factors shrink and software improves, Xu feels that Xreal can finally become a leader in the space. “You need all the key pieces ready — you need the hardware ready, the operating system needs to be ready, and then you need a great user interface,” Xu said.

Xreal’s newest model Aura is wired smart glasses that have OLED displays embedded within them, meaning that you can watch high-resolution videos within the frames themselves. Somewhat awkwardly, Aura comes tethered to a “puck” — essentially a phone-shaped mini-computer that powers the experience behind the glasses. When using it, you can ostensibly just slip it into your pocket.

But in exchange for the awkwardness of the puck, the user gets a wider variety of fun experiences with the glasses, including an immersive Google Maps app, VR YouTube videos, and a “painting app” that lets you — via the powers of hand tracking — create holographic imagery that only you can see. There are also reportedly games, playable (again) via hand tracking, and basic web surfing functionality.

“Whether you are following a floating recipe while cooking, setting up a private workspace at a coffee shop or on a flight, or watching a movie on a virtual big screen at home, the experience is seamless,” the company promises.

Xu also says that he imagines the device being used not just by the casual consumer but by professionals as well. “It’s not just about watching the NBA game in a hologram type of format, you could also go to a coffee shop and do some work,” he said.

Currently, the glasses are only available for developers, but the plan is for them to launch commercially later this year. Xreal is also working on an IPO that is expected to take place before 2026 is over, although Xu declined to say much about it.

In the meantime, the company is working on that whole turning-a-profit thing. Xu notes that his company has been raising its gross margin while lowering its costs for marketing and sales. “Next year is the year when we could actually break even,” he says.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Xreal #Googles #smartglasses #partner #thinks #finally #mastered #notoriously #tricky #industry #TechCrunchGoogle,Google I/O,AI,SMART Glasses,XReal"> Xreal, Google’s smartglasses partner, thinks it has finally mastered this notoriously tricky industry | TechCrunch
The smart glasses industry has long been a tortured dream of Silicon Valley. The premise is appealing enough: What if, to enjoy the benefits of mobile computing, people didn’t have to stare at their phones all day long and could, instead, simply wear a lightweight computing device on their face? Science fiction fans (a demographic that is strong in the tech industry) can see this vision perfectly.

However, the industry has — for much of the last decade — resembled a financial black hole into which gargantuan investments have been sunk and from which little to no profit has ever emerged.







“Everybody’s losing money,” said Chi Xu, the founder and CEO of the smart glasses company Xreal, which is a longtime partner of Google. I met Xu at Google’s I/O conference in Mountain View last week, where he was promoting Xreal’s Project Aura. That’s its latest effort to create a set of functional XR glasses that people actually want to use.

“That’s because it’s very hard, what we’re doing,” he said. 

For much of the industry’s existence, the problems of smart glasses have seemed somewhat obvious: bulky, uncomfortable, and socially awkward form factor, paired with negligibly beneficial software. Now, however, industry insiders — including Xu — feel like their business has turned a corner and may be reaching an inflection point.

That supposed inflection point has something to do with Meta, whose 2023 partnership with Ray-Ban launched one of the first lines of models that has actually managed to sell a lot of units. (It’s worth noting, however, that the division responsible for the glasses, Reality Labs, still operates at a massive loss.) 

Now, as form factors shrink and software improves, Xu feels that Xreal can finally become a leader in the space. “You need all the key pieces ready — you need the hardware ready, the operating system needs to be ready, and then you need a great user interface,” Xu said.


Xreal’s newest model Aura is wired smart glasses that have OLED displays embedded within them, meaning that you can watch high-resolution videos within the frames themselves. Somewhat awkwardly, Aura comes tethered to a “puck” — essentially a phone-shaped mini-computer that powers the experience behind the glasses. When using it, you can ostensibly just slip it into your pocket.

But in exchange for the awkwardness of the puck, the user gets a wider variety of fun experiences with the glasses, including an immersive Google Maps app, VR YouTube videos, and a “painting app” that lets you — via the powers of hand tracking — create holographic imagery that only you can see. There are also reportedly games, playable (again) via hand tracking, and basic web surfing functionality.

“Whether you are following a floating recipe while cooking, setting up a private workspace at a coffee shop or on a flight, or watching a movie on a virtual big screen at home, the experience is seamless,” the company promises.







Xu also says that he imagines the device being used not just by the casual consumer but by professionals as well. “It’s not just about watching the NBA game in a hologram type of format, you could also go to a coffee shop and do some work,” he said. 

Currently, the glasses are only available for developers, but the plan is for them to launch commercially later this year. Xreal is also working on an IPO that is expected to take place before 2026 is over, although Xu declined to say much about it.

In the meantime, the company is working on that whole turning-a-profit thing. Xu notes that his company has been raising its gross margin while lowering its costs for marketing and sales. “Next year is the year when we could actually break even,” he says.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Xreal #Googles #smartglasses #partner #thinks #finally #mastered #notoriously #tricky #industry #TechCrunchGoogle,Google I/O,AI,SMART Glasses,XReal
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gargantuan investments have been sunk and from which little to no profit has ever emerged.

“Everybody’s losing money,” said Chi Xu, the founder and CEO of the smart glasses company Xreal, which is a longtime partner of Google. I met Xu at Google’s I/O conference in Mountain View last week, where he was promoting Xreal’s Project Aura. That’s its latest effort to create a set of functional XR glasses that people actually want to use.

“That’s because it’s very hard, what we’re doing,” he said.

For much of the industry’s existence, the problems of smart glasses have seemed somewhat obvious: bulky, uncomfortable, and socially awkward form factor, paired with negligibly beneficial software. Now, however, industry insiders — including Xu — feel like their business has turned a corner and may be reaching an inflection point.

That supposed inflection point has something to do with Meta, whose 2023 partnership with Ray-Ban launched one of the first lines of models that has actually managed to sell a lot of units. (It’s worth noting, however, that the division responsible for the glasses, Reality Labs, still operates at a massive loss.)

Now, as form factors shrink and software improves, Xu feels that Xreal can finally become a leader in the space. “You need all the key pieces ready — you need the hardware ready, the operating system needs to be ready, and then you need a great user interface,” Xu said.

Xreal’s newest model Aura is wired smart glasses that have OLED displays embedded within them, meaning that you can watch high-resolution videos within the frames themselves. Somewhat awkwardly, Aura comes tethered to a “puck” — essentially a phone-shaped mini-computer that powers the experience behind the glasses. When using it, you can ostensibly just slip it into your pocket.

But in exchange for the awkwardness of the puck, the user gets a wider variety of fun experiences with the glasses, including an immersive Google Maps app, VR YouTube videos, and a “painting app” that lets you — via the powers of hand tracking — create holographic imagery that only you can see. There are also reportedly games, playable (again) via hand tracking, and basic web surfing functionality.

“Whether you are following a floating recipe while cooking, setting up a private workspace at a coffee shop or on a flight, or watching a movie on a virtual big screen at home, the experience is seamless,” the company promises.

Xu also says that he imagines the device being used not just by the casual consumer but by professionals as well. “It’s not just about watching the NBA game in a hologram type of format, you could also go to a coffee shop and do some work,” he said.

Currently, the glasses are only available for developers, but the plan is for them to launch commercially later this year. Xreal is also working on an IPO that is expected to take place before 2026 is over, although Xu declined to say much about it.

In the meantime, the company is working on that whole turning-a-profit thing. Xu notes that his company has been raising its gross margin while lowering its costs for marketing and sales. “Next year is the year when we could actually break even,” he says.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Xreal #Googles #smartglasses #partner #thinks #finally #mastered #notoriously #tricky #industry #TechCrunchGoogle,Google I/O,AI,SMART Glasses,XReal">Xreal, Google’s smartglasses partner, thinks it has finally mastered this notoriously tricky industry | TechCrunch

The smart glasses industry has long been a tortured dream of Silicon Valley. The premise is appealing enough: What if, to enjoy the benefits of mobile computing, people didn’t have to stare at their phones all day long and could, instead, simply wear a lightweight computing device on their face? Science fiction fans (a demographic that is strong in the tech industry) can see this vision perfectly.

However, the industry has — for much of the last decade — resembled a financial black hole into which gargantuan investments have been sunk and from which little to no profit has ever emerged.

“Everybody’s losing money,” said Chi Xu, the founder and CEO of the smart glasses company Xreal, which is a longtime partner of Google. I met Xu at Google’s I/O conference in Mountain View last week, where he was promoting Xreal’s Project Aura. That’s its latest effort to create a set of functional XR glasses that people actually want to use.

“That’s because it’s very hard, what we’re doing,” he said.

For much of the industry’s existence, the problems of smart glasses have seemed somewhat obvious: bulky, uncomfortable, and socially awkward form factor, paired with negligibly beneficial software. Now, however, industry insiders — including Xu — feel like their business has turned a corner and may be reaching an inflection point.

That supposed inflection point has something to do with Meta, whose 2023 partnership with Ray-Ban launched one of the first lines of models that has actually managed to sell a lot of units. (It’s worth noting, however, that the division responsible for the glasses, Reality Labs, still operates at a massive loss.)

Now, as form factors shrink and software improves, Xu feels that Xreal can finally become a leader in the space. “You need all the key pieces ready — you need the hardware ready, the operating system needs to be ready, and then you need a great user interface,” Xu said.

Xreal’s newest model Aura is wired smart glasses that have OLED displays embedded within them, meaning that you can watch high-resolution videos within the frames themselves. Somewhat awkwardly, Aura comes tethered to a “puck” — essentially a phone-shaped mini-computer that powers the experience behind the glasses. When using it, you can ostensibly just slip it into your pocket.

But in exchange for the awkwardness of the puck, the user gets a wider variety of fun experiences with the glasses, including an immersive Google Maps app, VR YouTube videos, and a “painting app” that lets you — via the powers of hand tracking — create holographic imagery that only you can see. There are also reportedly games, playable (again) via hand tracking, and basic web surfing functionality.

“Whether you are following a floating recipe while cooking, setting up a private workspace at a coffee shop or on a flight, or watching a movie on a virtual big screen at home, the experience is seamless,” the company promises.

Xu also says that he imagines the device being used not just by the casual consumer but by professionals as well. “It’s not just about watching the NBA game in a hologram type of format, you could also go to a coffee shop and do some work,” he said.

Currently, the glasses are only available for developers, but the plan is for them to launch commercially later this year. Xreal is also working on an IPO that is expected to take place before 2026 is over, although Xu declined to say much about it.

In the meantime, the company is working on that whole turning-a-profit thing. Xu notes that his company has been raising its gross margin while lowering its costs for marketing and sales. “Next year is the year when we could actually break even,” he says.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Xreal #Googles #smartglasses #partner #thinks #finally #mastered #notoriously #tricky #industry #TechCrunchGoogle,Google I/O,AI,SMART Glasses,XReal

The smart glasses industry has long been a tortured dream of Silicon Valley. The premise…

rereading the entire PDF to verify one point, users can jump back to the original section.

NotebookLM is already strong in source-grounded Q&A. IvyCraft’s key move is applying similar trust mechanics to creative outputs. A slide, infographic, or podcast script is more useful when it can still point back to the original source.

For casual users, this may feel like a nice bonus. For professional users, it is one of the reasons the product is worth taking seriously.

Workflow Comparison: Before Vs. After

The biggest value of IvyCraft becomes obvious when comparing workflows.

ScenarioThe Old WayThe IvyCraft Way
ResearcherRead PDF for 2 hours, summarize in Word, build PowerPoint manuallyUpload PDF, generate summary, convert key sections into infographic and slides
TeacherFind YouTube video, write questions, search for images, create worksheetPaste video URL, generate comic strip, create quiz or lesson asset
Marketing TeamListen to webinar, transcribe audio, feed notes into ChatGPT, design assets in CanvaUpload audio, extract quotes, generate video clips and visual content
AnalystReview long report, pull charts manually, build executive summaryUpload source, generate slide deck, trace claims back to source
Internal TeamTurn meeting audio into notes, then rewrite for updatesUpload audio memo, generate summary, podcast script, and short shareable content

This is where IvyCraft’s value becomes clearer. It does not only save time on one task. It reduces handoffs between tools.

That matters because most knowledge work is not difficult at one step. It becomes difficult because the work keeps moving between apps.

Why Choose IvyCraft Over NotebookLM?

NotebookLM is a strong tool. It is especially useful for source-based Q&A and audio summaries. But it has limits.

NotebookLM can help users understand sources, but its creative flexibility is narrower. Its generated images cannot be edited afterward in the same way a design workspace allows. Outside of image and podcast generation, users still rely heavily on prompts and external tools to create visual assets.

IvyCraft does not have that same limitation. It supports a wider range of outputs, including PPTX presentations, infographics, comics, podcasts, posters, videos, and more. That makes it more useful when the goal is not only to understand material but to turn that material into communication.

Source traceability is also comparable in intent. Both platforms take grounding seriously. The difference is that IvyCraft carries that traceability into more content formats.

So the choice is not simply “IvyCraft vs. NotebookLM.” It is more about the job. If the goal is studying and asking questions, NotebookLM works well. If the goal is turning source material into finished creative assets, IvyCraft has the broader workspace.

Head-To-Head Comparison

FeatureIvyCraftNotebookLMGammaChatGPT
Core OutputVisual + Audio + TextAudio + NotesSlidesText/Chat
InfographicsNativeNoLimitedLimited
Video/ComicsYesNoNoNo
PodcastsYesYesNoScript only
SlidesYesNo native deck generationYesOutline only
Source CitationStrong visual/source tracingStrong text groundingLimitedDepends on input
Best ForEnd-to-end content creationStudy and source Q&AQuick decksBrainstorming and writing

IvyCraft’s strongest advantage is range. It combines analysis and creation in a way most competitors do not.

Pros And Cons

Here are some pros and cons that can help you come up with a decision:

Pros

  1. The Glue is Real: IvyCraft brings reading, summarizing, designing, and repurposing into one flow. That is its strongest quality.
  2. Visual IQ is Better than Expected: The infographic and comic tools are not just decorative. They often organize ideas in a way that makes sense.
  3. Source Tracing Builds Trust: Being able to click back to original material reduces the “black box” feeling that comes with many AI tools.
  4. Good for Repurposing: One source can become a deck, podcast, short video, and visual summary.

Cons

  • Video Still Works Best for Short Content: It is useful for clips and explainers, but not yet a full replacement for long-form video production.
  • The Workspace Model Takes Adjustment: Users coming from ChatGPT may expect to start typing immediately. IvyCraft works better when sources are uploaded first.
  • Visual Exports May Need Cleanup: Dense infographics and slides can require manual spacing fixes before final use.

Pricing And Value

IvyCraft’s value depends on how many tools it replaces. A typical content or research workflow may involve Canva Pro, ChatGPT Plus, NotebookLM, a video tool, a podcast tool, and a slide generator. Even if some of those tools are free, the workflow still costs time and attention.

  • Basic: $7.00/month with 10,000 tokens
  • Pro: $14.00/month with 20,000 tokens
  • Max: $70.00/month with 100,000 tokens

Who Is IvyCraft For?

Good Fit

  1. Researchers and Analysts who need to turn dense source material into visual briefs, slides, or summaries.
  2. Educators who want to make lessons more engaging by converting chapters or videos into comics, quizzes, storyboards, or audio material.
  3. Content Marketers who need to repurpose one webinar, report, or podcast into multiple pieces of content.
  4. Consultants who regularly turn research into decks, client summaries, and visual explanations.

Bad Fit

  1. Coders who need advanced code execution, debugging, or notebook-style computation.
  2. Users Who Only Need Simple Chat may find the workspace model more than they need.

FAQ

Is IvyCraft Better Than NotebookLM?

It depends on the use case. NotebookLM is excellent for source Q&A and audio overviews. IvyCraft is stronger when users need multiple output formats, such as slides, infographics, comics, podcasts, posters, and videos. It is better for creation, not just study.

Can IvyCraft Generate AI Podcasts From My PDF?

Yes. IvyCraft can use uploaded source material, such as PDFs, to generate podcast-style scripts or audio content. This is useful for turning long reports or research documents into easier listening formats.

Is The Infographic Export High Resolution?

IvyCraft’s infographic output is usable for presentations, internal reports, teaching material, and social content. Complex visuals may still need light editing, especially when the source material is dense.

Does IvyCraft Hallucinate Facts?

IvyCraft reduces hallucination risk by grounding outputs in uploaded sources and offering traceability. That does not mean users should skip review. It means fact-checking is much easier because claims can be traced back to the original material.

Can I Edit the Slides After AI Generates Them?

Yes. IvyCraft-generated slides can be adjusted after creation. In practice, most decks still benefit from light editing before presentation, especially around wording, spacing, and visual emphasis.

The Verdict

IvyCraft earns a strong 4.5 out of 5. It is not just a chat wrapper. The platform understands something many AI tools still miss: knowledge work does not stop at summarization. Most professionals need to explain, present, teach, publish, or repurpose what they learn. That is where IvyCraft stands out. It connects source understanding with content creation, and it does so across formats that usually require several tools. It still has rough edges. Some features might need improvement, but the direction is right. For anyone tired of copying text between AI tools, design apps, slide generators, and audio tools, IvyCraft feels like a serious step forward. Stop switching tabs. Start crafting. Try IvyCraft for free!

#IvyCraft #Review #Workspace #Infographics #Video #PodcastsAI"> IvyCraft Review: AI Workspace For Infographics, Video and Podcasts
	
Most people working with AI today are not using one tool. They are using multiple tools for a single task. A PDF goes into ChatGPT for a summary, key points are copied into Canva for design, and a script moves into ElevenLabs for audio. Similarly, a slide deck gets built in Gamma. Then everything is checked again against the original source because nobody fully trusts the output. That is the modern version of tab overload.



ChatGPT and Claude are strong with text, but visuals still take work. NotebookLM is excellent for source-based summaries and audio overviews, but it does not give users much creative design control. Gamma makes quick slides, but it does not turn research into podcasts, comics, videos, or broader creative assets.



IvyCraft enters that gap. It is not just another chat box, but works more like an integrated AI creation workspace built for people who need to turn source material into finished communication assets.



What Is IvyCraft?



IvyCraft is a source-to-screen AI creation workspace. That means it starts with raw material and helps turn it into polished outputs. The input side is broad. Users can upload PDFs, paste URLs, add video links, work with audio files, or start from text. The output side is where IvyCraft becomes more interesting. It can generate infographics, slides, videos, comics, podcasts, posters, and storybook-style content from the same source base.







The most useful part is source tracing. When IvyCraft generates a claim, users can trace it back to the original material. AI tools are useful, but only when the user can verify where the information came from. IvyCraft is designed around that need, which makes it more practical for research, education, marketing, and business content. In other words, IvyCraft is positioned as a platform that moves beyond simple chat by turning documents, videos, and audio into multiple content formats. 



How IvyCraft Was Tested?



For this review, IvyCraft was tested across two weeks of regular use. The input materials included a 20-page academic PDF on climate technology, a 45-minute YouTube investor lecture, and a recorded internal team audio memo. These were chosen on purpose. A good AI workspace should not only handle clean text. It should be able to make sense of dense research, spoken content, and messy internal material.







The outputs tested included one slide deck, one infographic, one short video, one comic strip, and one podcast script. The IvyCraft review focused on three things: whether the outputs stayed coherent, whether the design quality was usable without heavy fixing, and whether the platform reduced hallucination by tying claims back to source content.



Results:















Deep Dive: Core Features



Here are some core features of IvyCraft that you should know about:



The Source Library



The Source Library is where IvyCraft starts to feel less like a chatbot and more like a workspace. 



Instead of asking questions in an empty chat window, users first upload or add their source materials. That could be a PDF report, a YouTube lecture, an audio memo, a URL, or a text document. IvyCraft then reads those materials before generating anything.



That matters more than it sounds. In many AI tools, users spend half the time reminding the model what the project is about. IvyCraft keeps the source context available. The workflow feels closer to building from a research folder than chatting with a general model.



For researchers, this is useful because arguments stay closer to the source. For marketers, it means one webinar or white paper can become several content assets. For teachers, a lesson can start from one video or chapter and turn into a visual learning material.



AI Infographics: The Visual Breakthrough







The infographic tool is one of IvyCraft’s strongest features. The basic process is simple. Highlight or select content, then generate an infographic. The question is whether IvyCraft simply dumps bullet points into a decorative template or actually understands the information.



The answer is mixed, but mostly positive. For the climate tech PDF, IvyCraft did more than create a circle of bullets. It grouped related ideas, separated causes from outcomes, and turned timeline-style information into a visual flow. The first version still needed refinement, mostly spacing and wording, but the logic of the layout made sense.







This is where IvyCraft stands apart from text-first AI tools. A summary is useful, but an infographic changes how quickly someone else can understand the material. The platform seems to understand that knowledge work does not end with comprehension. It ends when the idea can be communicated clearly.



Results:















The weaker side needs polishing. Dense source material can lead to crowded visuals. Shorter, cleaner sections produce better infographics. Still, as a first draft, the feature is strong enough to save serious time.



AI Video and Comics







The video and comic tools are built for repurposing. That is where IvyCraft starts becoming valuable for educators, marketers, and internal communication teams.



A dry report can become a short explainer video. A lecture can become a comic strip for students. A webinar can turn into short social content.



The short video output was best when the topic had a clear structure. The investor lecture, for example, converted well into a short “key takeaways” video. The pacing was acceptable, the script was readable, and the visuals followed the main ideas. It was not a replacement for a professional editor. It was, however, a very solid first version.







Result:







The voiceover quality was usable. It sounded clean enough for internal content, learning material, and social snippets. For polished brand campaigns, manual editing would still help.



The comic output was surprisingly effective for education-style content. IvyCraft turned abstract climate tech concepts into a sequence of panels that felt easier to follow than a plain summary. 



The main limitation is depth. IvyCraft’s AI video feature is better for short loops, explainers, and social clips than long narrative videos. That is not a failure. It is just where the tool currently fits best.



AI Slides: The Gamma Competitor



Slides are where IvyCraft enters more familiar territory. Gamma, Tome, and similar tools already made prompt-to-deck generation popular.



IvyCraft’s advantage is not that it creates slides. It is that the slides are grounded in the uploaded source material.







When the climate tech PDF was converted into a deck, IvyCraft did a decent job identifying the argument structure. It opened with the problem, moved into market forces, then covered technology categories and investment implications. That is better than simply shuffling facts.



















If the goal is a quick startup pitch from a short prompt, Gamma may feel faster. If the goal is a slide deck based on a real document, IvyCraft feels safer.



Source Traceability: The Fact-Check Mode



Source traceability is one of IvyCraft’s most important features.



When a generated output contains a claim, users can trace that claim back to the source. In practice, this reduces the anxiety that comes with AI-generated material. Instead of rereading the entire PDF to verify one point, users can jump back to the original section.











NotebookLM is already strong in source-grounded Q&A. IvyCraft’s key move is applying similar trust mechanics to creative outputs. A slide, infographic, or podcast script is more useful when it can still point back to the original source.



For casual users, this may feel like a nice bonus. For professional users, it is one of the reasons the product is worth taking seriously.



Workflow Comparison: Before Vs. After







The biggest value of IvyCraft becomes obvious when comparing workflows.



ScenarioThe Old WayThe IvyCraft WayResearcherRead PDF for 2 hours, summarize in Word, build PowerPoint manuallyUpload PDF, generate summary, convert key sections into infographic and slidesTeacherFind YouTube video, write questions, search for images, create worksheetPaste video URL, generate comic strip, create quiz or lesson assetMarketing TeamListen to webinar, transcribe audio, feed notes into ChatGPT, design assets in CanvaUpload audio, extract quotes, generate video clips and visual contentAnalystReview long report, pull charts manually, build executive summaryUpload source, generate slide deck, trace claims back to sourceInternal TeamTurn meeting audio into notes, then rewrite for updatesUpload audio memo, generate summary, podcast script, and short shareable content



This is where IvyCraft’s value becomes clearer. It does not only save time on one task. It reduces handoffs between tools.



That matters because most knowledge work is not difficult at one step. It becomes difficult because the work keeps moving between apps.



Why Choose IvyCraft Over NotebookLM?







NotebookLM is a strong tool. It is especially useful for source-based Q&A and audio summaries. But it has limits.



NotebookLM can help users understand sources, but its creative flexibility is narrower. Its generated images cannot be edited afterward in the same way a design workspace allows. Outside of image and podcast generation, users still rely heavily on prompts and external tools to create visual assets.



IvyCraft does not have that same limitation. It supports a wider range of outputs, including PPTX presentations, infographics, comics, podcasts, posters, videos, and more. That makes it more useful when the goal is not only to understand material but to turn that material into communication.



Source traceability is also comparable in intent. Both platforms take grounding seriously. The difference is that IvyCraft carries that traceability into more content formats.



So the choice is not simply “IvyCraft vs. NotebookLM.” It is more about the job. If the goal is studying and asking questions, NotebookLM works well. If the goal is turning source material into finished creative assets, IvyCraft has the broader workspace.



Head-To-Head Comparison



FeatureIvyCraftNotebookLMGammaChatGPTCore OutputVisual + Audio + TextAudio + NotesSlidesText/ChatInfographicsNativeNoLimitedLimitedVideo/ComicsYesNoNoNoPodcastsYesYesNoScript onlySlidesYesNo native deck generationYesOutline onlySource CitationStrong visual/source tracingStrong text groundingLimitedDepends on inputBest ForEnd-to-end content creationStudy and source Q&AQuick decksBrainstorming and writing



IvyCraft’s strongest advantage is range. It combines analysis and creation in a way most competitors do not.



Pros And Cons



Here are some pros and cons that can help you come up with a decision:



Pros




The Glue is Real: IvyCraft brings reading, summarizing, designing, and repurposing into one flow. That is its strongest quality.



Visual IQ is Better than Expected: The infographic and comic tools are not just decorative. They often organize ideas in a way that makes sense.



Source Tracing Builds Trust: Being able to click back to original material reduces the “black box” feeling that comes with many AI tools.



Good for Repurposing: One source can become a deck, podcast, short video, and visual summary.




Cons




Video Still Works Best for Short Content: It is useful for clips and explainers, but not yet a full replacement for long-form video production.



The Workspace Model Takes Adjustment: Users coming from ChatGPT may expect to start typing immediately. IvyCraft works better when sources are uploaded first.



Visual Exports May Need Cleanup: Dense infographics and slides can require manual spacing fixes before final use.




Pricing And Value



IvyCraft’s value depends on how many tools it replaces. A typical content or research workflow may involve Canva Pro, ChatGPT Plus, NotebookLM, a video tool, a podcast tool, and a slide generator. Even if some of those tools are free, the workflow still costs time and attention.




Basic: .00/month with 10,000 tokens



Pro: .00/month with 20,000 tokens



Max: .00/month with 100,000 tokens




Who Is IvyCraft For?



Good Fit




Researchers and Analysts who need to turn dense source material into visual briefs, slides, or summaries.



Educators who want to make lessons more engaging by converting chapters or videos into comics, quizzes, storyboards, or audio material.



Content Marketers who need to repurpose one webinar, report, or podcast into multiple pieces of content.



Consultants who regularly turn research into decks, client summaries, and visual explanations.




Bad Fit




Coders who need advanced code execution, debugging, or notebook-style computation.



Users Who Only Need Simple Chat may find the workspace model more than they need.




FAQ



Is IvyCraft Better Than NotebookLM? It depends on the use case. NotebookLM is excellent for source Q&A and audio overviews. IvyCraft is stronger when users need multiple output formats, such as slides, infographics, comics, podcasts, posters, and videos. It is better for creation, not just study.  Can IvyCraft Generate AI Podcasts From My PDF? Yes. IvyCraft can use uploaded source material, such as PDFs, to generate podcast-style scripts or audio content. This is useful for turning long reports or research documents into easier listening formats.  Is The Infographic Export High Resolution? IvyCraft’s infographic output is usable for presentations, internal reports, teaching material, and social content. Complex visuals may still need light editing, especially when the source material is dense.  Does IvyCraft Hallucinate Facts? IvyCraft reduces hallucination risk by grounding outputs in uploaded sources and offering traceability. That does not mean users should skip review. It means fact-checking is much easier because claims can be traced back to the original material.  Can I Edit the Slides After AI Generates Them? Yes. IvyCraft-generated slides can be adjusted after creation. In practice, most decks still benefit from light editing before presentation, especially around wording, spacing, and visual emphasis.  



The Verdict



IvyCraft earns a strong 4.5 out of 5. It is not just a chat wrapper. The platform understands something many AI tools still miss: knowledge work does not stop at summarization. Most professionals need to explain, present, teach, publish, or repurpose what they learn. That is where IvyCraft stands out. It connects source understanding with content creation, and it does so across formats that usually require several tools. It still has rough edges. Some features might need improvement, but the direction is right. For anyone tired of copying text between AI tools, design apps, slide generators, and audio tools, IvyCraft feels like a serious step forward. Stop switching tabs. Start crafting. Try IvyCraft for free!

#IvyCraft #Review #Workspace #Infographics #Video #PodcastsAI
Tech-news

rereading the entire PDF to verify one point, users can jump back to the original section.

NotebookLM is already strong in source-grounded Q&A. IvyCraft’s key move is applying similar trust mechanics to creative outputs. A slide, infographic, or podcast script is more useful when it can still point back to the original source.

For casual users, this may feel like a nice bonus. For professional users, it is one of the reasons the product is worth taking seriously.

Workflow Comparison: Before Vs. After

The biggest value of IvyCraft becomes obvious when comparing workflows.

ScenarioThe Old WayThe IvyCraft Way
ResearcherRead PDF for 2 hours, summarize in Word, build PowerPoint manuallyUpload PDF, generate summary, convert key sections into infographic and slides
TeacherFind YouTube video, write questions, search for images, create worksheetPaste video URL, generate comic strip, create quiz or lesson asset
Marketing TeamListen to webinar, transcribe audio, feed notes into ChatGPT, design assets in CanvaUpload audio, extract quotes, generate video clips and visual content
AnalystReview long report, pull charts manually, build executive summaryUpload source, generate slide deck, trace claims back to source
Internal TeamTurn meeting audio into notes, then rewrite for updatesUpload audio memo, generate summary, podcast script, and short shareable content

This is where IvyCraft’s value becomes clearer. It does not only save time on one task. It reduces handoffs between tools.

That matters because most knowledge work is not difficult at one step. It becomes difficult because the work keeps moving between apps.

Why Choose IvyCraft Over NotebookLM?

NotebookLM is a strong tool. It is especially useful for source-based Q&A and audio summaries. But it has limits.

NotebookLM can help users understand sources, but its creative flexibility is narrower. Its generated images cannot be edited afterward in the same way a design workspace allows. Outside of image and podcast generation, users still rely heavily on prompts and external tools to create visual assets.

IvyCraft does not have that same limitation. It supports a wider range of outputs, including PPTX presentations, infographics, comics, podcasts, posters, videos, and more. That makes it more useful when the goal is not only to understand material but to turn that material into communication.

Source traceability is also comparable in intent. Both platforms take grounding seriously. The difference is that IvyCraft carries that traceability into more content formats.

So the choice is not simply “IvyCraft vs. NotebookLM.” It is more about the job. If the goal is studying and asking questions, NotebookLM works well. If the goal is turning source material into finished creative assets, IvyCraft has the broader workspace.

Head-To-Head Comparison

FeatureIvyCraftNotebookLMGammaChatGPT
Core OutputVisual + Audio + TextAudio + NotesSlidesText/Chat
InfographicsNativeNoLimitedLimited
Video/ComicsYesNoNoNo
PodcastsYesYesNoScript only
SlidesYesNo native deck generationYesOutline only
Source CitationStrong visual/source tracingStrong text groundingLimitedDepends on input
Best ForEnd-to-end content creationStudy and source Q&AQuick decksBrainstorming and writing

IvyCraft’s strongest advantage is range. It combines analysis and creation in a way most competitors do not.

Pros And Cons

Here are some pros and cons that can help you come up with a decision:

Pros

  1. The Glue is Real: IvyCraft brings reading, summarizing, designing, and repurposing into one flow. That is its strongest quality.
  2. Visual IQ is Better than Expected: The infographic and comic tools are not just decorative. They often organize ideas in a way that makes sense.
  3. Source Tracing Builds Trust: Being able to click back to original material reduces the “black box” feeling that comes with many AI tools.
  4. Good for Repurposing: One source can become a deck, podcast, short video, and visual summary.

Cons

  • Video Still Works Best for Short Content: It is useful for clips and explainers, but not yet a full replacement for long-form video production.
  • The Workspace Model Takes Adjustment: Users coming from ChatGPT may expect to start typing immediately. IvyCraft works better when sources are uploaded first.
  • Visual Exports May Need Cleanup: Dense infographics and slides can require manual spacing fixes before final use.

Pricing And Value

IvyCraft’s value depends on how many tools it replaces. A typical content or research workflow may involve Canva Pro, ChatGPT Plus, NotebookLM, a video tool, a podcast tool, and a slide generator. Even if some of those tools are free, the workflow still costs time and attention.

  • Basic: $7.00/month with 10,000 tokens
  • Pro: $14.00/month with 20,000 tokens
  • Max: $70.00/month with 100,000 tokens

Who Is IvyCraft For?

Good Fit

  1. Researchers and Analysts who need to turn dense source material into visual briefs, slides, or summaries.
  2. Educators who want to make lessons more engaging by converting chapters or videos into comics, quizzes, storyboards, or audio material.
  3. Content Marketers who need to repurpose one webinar, report, or podcast into multiple pieces of content.
  4. Consultants who regularly turn research into decks, client summaries, and visual explanations.

Bad Fit

  1. Coders who need advanced code execution, debugging, or notebook-style computation.
  2. Users Who Only Need Simple Chat may find the workspace model more than they need.

FAQ

Is IvyCraft Better Than NotebookLM?

It depends on the use case. NotebookLM is excellent for source Q&A and audio overviews. IvyCraft is stronger when users need multiple output formats, such as slides, infographics, comics, podcasts, posters, and videos. It is better for creation, not just study.

Can IvyCraft Generate AI Podcasts From My PDF?

Yes. IvyCraft can use uploaded source material, such as PDFs, to generate podcast-style scripts or audio content. This is useful for turning long reports or research documents into easier listening formats.

Is The Infographic Export High Resolution?

IvyCraft’s infographic output is usable for presentations, internal reports, teaching material, and social content. Complex visuals may still need light editing, especially when the source material is dense.

Does IvyCraft Hallucinate Facts?

IvyCraft reduces hallucination risk by grounding outputs in uploaded sources and offering traceability. That does not mean users should skip review. It means fact-checking is much easier because claims can be traced back to the original material.

Can I Edit the Slides After AI Generates Them?

Yes. IvyCraft-generated slides can be adjusted after creation. In practice, most decks still benefit from light editing before presentation, especially around wording, spacing, and visual emphasis.

The Verdict

IvyCraft earns a strong 4.5 out of 5. It is not just a chat wrapper. The platform understands something many AI tools still miss: knowledge work does not stop at summarization. Most professionals need to explain, present, teach, publish, or repurpose what they learn. That is where IvyCraft stands out. It connects source understanding with content creation, and it does so across formats that usually require several tools. It still has rough edges. Some features might need improvement, but the direction is right. For anyone tired of copying text between AI tools, design apps, slide generators, and audio tools, IvyCraft feels like a serious step forward. Stop switching tabs. Start crafting. Try IvyCraft for free!

#IvyCraft #Review #Workspace #Infographics #Video #PodcastsAI">IvyCraft Review: AI Workspace For Infographics, Video and Podcasts

Most people working with AI today are not using one tool. They are using multiple tools for a single task. A PDF goes into ChatGPT for a summary, key points are copied into Canva for design, and a script moves into ElevenLabs for audio. Similarly, a slide deck gets built in Gamma. Then everything is checked again against the original source because nobody fully trusts the output. That is the modern version of tab overload.

ChatGPT and Claude are strong with text, but visuals still take work. NotebookLM is excellent for source-based summaries and audio overviews, but it does not give users much creative design control. Gamma makes quick slides, but it does not turn research into podcasts, comics, videos, or broader creative assets.

IvyCraft enters that gap. It is not just another chat box, but works more like an integrated AI creation workspace built for people who need to turn source material into finished communication assets.

What Is IvyCraft?

IvyCraft is a source-to-screen AI creation workspace. That means it starts with raw material and helps turn it into polished outputs. The input side is broad. Users can upload PDFs, paste URLs, add video links, work with audio files, or start from text. The output side is where IvyCraft becomes more interesting. It can generate infographics, slides, videos, comics, podcasts, posters, and storybook-style content from the same source base.

IvyCraft Review: AI Workspace For Infographics, Video and Podcasts
	
Most people working with AI today are not using one tool. They are using multiple tools for a single task. A PDF goes into ChatGPT for a summary, key points are copied into Canva for design, and a script moves into ElevenLabs for audio. Similarly, a slide deck gets built in Gamma. Then everything is checked again against the original source because nobody fully trusts the output. That is the modern version of tab overload.



ChatGPT and Claude are strong with text, but visuals still take work. NotebookLM is excellent for source-based summaries and audio overviews, but it does not give users much creative design control. Gamma makes quick slides, but it does not turn research into podcasts, comics, videos, or broader creative assets.



IvyCraft enters that gap. It is not just another chat box, but works more like an integrated AI creation workspace built for people who need to turn source material into finished communication assets.



What Is IvyCraft?



IvyCraft is a source-to-screen AI creation workspace. That means it starts with raw material and helps turn it into polished outputs. The input side is broad. Users can upload PDFs, paste URLs, add video links, work with audio files, or start from text. The output side is where IvyCraft becomes more interesting. It can generate infographics, slides, videos, comics, podcasts, posters, and storybook-style content from the same source base.







The most useful part is source tracing. When IvyCraft generates a claim, users can trace it back to the original material. AI tools are useful, but only when the user can verify where the information came from. IvyCraft is designed around that need, which makes it more practical for research, education, marketing, and business content. In other words, IvyCraft is positioned as a platform that moves beyond simple chat by turning documents, videos, and audio into multiple content formats. 



How IvyCraft Was Tested?



For this review, IvyCraft was tested across two weeks of regular use. The input materials included a 20-page academic PDF on climate technology, a 45-minute YouTube investor lecture, and a recorded internal team audio memo. These were chosen on purpose. A good AI workspace should not only handle clean text. It should be able to make sense of dense research, spoken content, and messy internal material.







The outputs tested included one slide deck, one infographic, one short video, one comic strip, and one podcast script. The IvyCraft review focused on three things: whether the outputs stayed coherent, whether the design quality was usable without heavy fixing, and whether the platform reduced hallucination by tying claims back to source content.



Results:















Deep Dive: Core Features



Here are some core features of IvyCraft that you should know about:



The Source Library



The Source Library is where IvyCraft starts to feel less like a chatbot and more like a workspace. 



Instead of asking questions in an empty chat window, users first upload or add their source materials. That could be a PDF report, a YouTube lecture, an audio memo, a URL, or a text document. IvyCraft then reads those materials before generating anything.



That matters more than it sounds. In many AI tools, users spend half the time reminding the model what the project is about. IvyCraft keeps the source context available. The workflow feels closer to building from a research folder than chatting with a general model.



For researchers, this is useful because arguments stay closer to the source. For marketers, it means one webinar or white paper can become several content assets. For teachers, a lesson can start from one video or chapter and turn into a visual learning material.



AI Infographics: The Visual Breakthrough







The infographic tool is one of IvyCraft’s strongest features. The basic process is simple. Highlight or select content, then generate an infographic. The question is whether IvyCraft simply dumps bullet points into a decorative template or actually understands the information.



The answer is mixed, but mostly positive. For the climate tech PDF, IvyCraft did more than create a circle of bullets. It grouped related ideas, separated causes from outcomes, and turned timeline-style information into a visual flow. The first version still needed refinement, mostly spacing and wording, but the logic of the layout made sense.







This is where IvyCraft stands apart from text-first AI tools. A summary is useful, but an infographic changes how quickly someone else can understand the material. The platform seems to understand that knowledge work does not end with comprehension. It ends when the idea can be communicated clearly.



Results:















The weaker side needs polishing. Dense source material can lead to crowded visuals. Shorter, cleaner sections produce better infographics. Still, as a first draft, the feature is strong enough to save serious time.



AI Video and Comics







The video and comic tools are built for repurposing. That is where IvyCraft starts becoming valuable for educators, marketers, and internal communication teams.



A dry report can become a short explainer video. A lecture can become a comic strip for students. A webinar can turn into short social content.



The short video output was best when the topic had a clear structure. The investor lecture, for example, converted well into a short “key takeaways” video. The pacing was acceptable, the script was readable, and the visuals followed the main ideas. It was not a replacement for a professional editor. It was, however, a very solid first version.







Result:







The voiceover quality was usable. It sounded clean enough for internal content, learning material, and social snippets. For polished brand campaigns, manual editing would still help.



The comic output was surprisingly effective for education-style content. IvyCraft turned abstract climate tech concepts into a sequence of panels that felt easier to follow than a plain summary. 



The main limitation is depth. IvyCraft’s AI video feature is better for short loops, explainers, and social clips than long narrative videos. That is not a failure. It is just where the tool currently fits best.



AI Slides: The Gamma Competitor



Slides are where IvyCraft enters more familiar territory. Gamma, Tome, and similar tools already made prompt-to-deck generation popular.



IvyCraft’s advantage is not that it creates slides. It is that the slides are grounded in the uploaded source material.







When the climate tech PDF was converted into a deck, IvyCraft did a decent job identifying the argument structure. It opened with the problem, moved into market forces, then covered technology categories and investment implications. That is better than simply shuffling facts.



















If the goal is a quick startup pitch from a short prompt, Gamma may feel faster. If the goal is a slide deck based on a real document, IvyCraft feels safer.



Source Traceability: The Fact-Check Mode



Source traceability is one of IvyCraft’s most important features.



When a generated output contains a claim, users can trace that claim back to the source. In practice, this reduces the anxiety that comes with AI-generated material. Instead of rereading the entire PDF to verify one point, users can jump back to the original section.











NotebookLM is already strong in source-grounded Q&A. IvyCraft’s key move is applying similar trust mechanics to creative outputs. A slide, infographic, or podcast script is more useful when it can still point back to the original source.



For casual users, this may feel like a nice bonus. For professional users, it is one of the reasons the product is worth taking seriously.



Workflow Comparison: Before Vs. After







The biggest value of IvyCraft becomes obvious when comparing workflows.



ScenarioThe Old WayThe IvyCraft WayResearcherRead PDF for 2 hours, summarize in Word, build PowerPoint manuallyUpload PDF, generate summary, convert key sections into infographic and slidesTeacherFind YouTube video, write questions, search for images, create worksheetPaste video URL, generate comic strip, create quiz or lesson assetMarketing TeamListen to webinar, transcribe audio, feed notes into ChatGPT, design assets in CanvaUpload audio, extract quotes, generate video clips and visual contentAnalystReview long report, pull charts manually, build executive summaryUpload source, generate slide deck, trace claims back to sourceInternal TeamTurn meeting audio into notes, then rewrite for updatesUpload audio memo, generate summary, podcast script, and short shareable content



This is where IvyCraft’s value becomes clearer. It does not only save time on one task. It reduces handoffs between tools.



That matters because most knowledge work is not difficult at one step. It becomes difficult because the work keeps moving between apps.



Why Choose IvyCraft Over NotebookLM?







NotebookLM is a strong tool. It is especially useful for source-based Q&A and audio summaries. But it has limits.



NotebookLM can help users understand sources, but its creative flexibility is narrower. Its generated images cannot be edited afterward in the same way a design workspace allows. Outside of image and podcast generation, users still rely heavily on prompts and external tools to create visual assets.



IvyCraft does not have that same limitation. It supports a wider range of outputs, including PPTX presentations, infographics, comics, podcasts, posters, videos, and more. That makes it more useful when the goal is not only to understand material but to turn that material into communication.



Source traceability is also comparable in intent. Both platforms take grounding seriously. The difference is that IvyCraft carries that traceability into more content formats.



So the choice is not simply “IvyCraft vs. NotebookLM.” It is more about the job. If the goal is studying and asking questions, NotebookLM works well. If the goal is turning source material into finished creative assets, IvyCraft has the broader workspace.



Head-To-Head Comparison



FeatureIvyCraftNotebookLMGammaChatGPTCore OutputVisual + Audio + TextAudio + NotesSlidesText/ChatInfographicsNativeNoLimitedLimitedVideo/ComicsYesNoNoNoPodcastsYesYesNoScript onlySlidesYesNo native deck generationYesOutline onlySource CitationStrong visual/source tracingStrong text groundingLimitedDepends on inputBest ForEnd-to-end content creationStudy and source Q&AQuick decksBrainstorming and writing



IvyCraft’s strongest advantage is range. It combines analysis and creation in a way most competitors do not.



Pros And Cons



Here are some pros and cons that can help you come up with a decision:



Pros




The Glue is Real: IvyCraft brings reading, summarizing, designing, and repurposing into one flow. That is its strongest quality.



Visual IQ is Better than Expected: The infographic and comic tools are not just decorative. They often organize ideas in a way that makes sense.



Source Tracing Builds Trust: Being able to click back to original material reduces the “black box” feeling that comes with many AI tools.



Good for Repurposing: One source can become a deck, podcast, short video, and visual summary.




Cons




Video Still Works Best for Short Content: It is useful for clips and explainers, but not yet a full replacement for long-form video production.



The Workspace Model Takes Adjustment: Users coming from ChatGPT may expect to start typing immediately. IvyCraft works better when sources are uploaded first.



Visual Exports May Need Cleanup: Dense infographics and slides can require manual spacing fixes before final use.




Pricing And Value



IvyCraft’s value depends on how many tools it replaces. A typical content or research workflow may involve Canva Pro, ChatGPT Plus, NotebookLM, a video tool, a podcast tool, and a slide generator. Even if some of those tools are free, the workflow still costs time and attention.




Basic: .00/month with 10,000 tokens



Pro: .00/month with 20,000 tokens



Max: .00/month with 100,000 tokens




Who Is IvyCraft For?



Good Fit




Researchers and Analysts who need to turn dense source material into visual briefs, slides, or summaries.



Educators who want to make lessons more engaging by converting chapters or videos into comics, quizzes, storyboards, or audio material.



Content Marketers who need to repurpose one webinar, report, or podcast into multiple pieces of content.



Consultants who regularly turn research into decks, client summaries, and visual explanations.




Bad Fit




Coders who need advanced code execution, debugging, or notebook-style computation.



Users Who Only Need Simple Chat may find the workspace model more than they need.




FAQ



Is IvyCraft Better Than NotebookLM? It depends on the use case. NotebookLM is excellent for source Q&A and audio overviews. IvyCraft is stronger when users need multiple output formats, such as slides, infographics, comics, podcasts, posters, and videos. It is better for creation, not just study.  Can IvyCraft Generate AI Podcasts From My PDF? Yes. IvyCraft can use uploaded source material, such as PDFs, to generate podcast-style scripts or audio content. This is useful for turning long reports or research documents into easier listening formats.  Is The Infographic Export High Resolution? IvyCraft’s infographic output is usable for presentations, internal reports, teaching material, and social content. Complex visuals may still need light editing, especially when the source material is dense.  Does IvyCraft Hallucinate Facts? IvyCraft reduces hallucination risk by grounding outputs in uploaded sources and offering traceability. That does not mean users should skip review. It means fact-checking is much easier because claims can be traced back to the original material.  Can I Edit the Slides After AI Generates Them? Yes. IvyCraft-generated slides can be adjusted after creation. In practice, most decks still benefit from light editing before presentation, especially around wording, spacing, and visual emphasis.  



The Verdict



IvyCraft earns a strong 4.5 out of 5. It is not just a chat wrapper. The platform understands something many AI tools still miss: knowledge work does not stop at summarization. Most professionals need to explain, present, teach, publish, or repurpose what they learn. That is where IvyCraft stands out. It connects source understanding with content creation, and it does so across formats that usually require several tools. It still has rough edges. Some features might need improvement, but the direction is right. For anyone tired of copying text between AI tools, design apps, slide generators, and audio tools, IvyCraft feels like a serious step forward. Stop switching tabs. Start crafting. Try IvyCraft for free!

#IvyCraft #Review #Workspace #Infographics #Video #PodcastsAI

The most useful part is source tracing. When IvyCraft generates a claim, users can trace it back to the original material. AI tools are useful, but only when the user can verify where the information came from. IvyCraft is designed around that need, which makes it more practical for research, education, marketing, and business content. In other words, IvyCraft is positioned as a platform that moves beyond simple chat by turning documents, videos, and audio into multiple content formats. 

How IvyCraft Was Tested?

For this review, IvyCraft was tested across two weeks of regular use. The input materials included a 20-page academic PDF on climate technology, a 45-minute YouTube investor lecture, and a recorded internal team audio memo. These were chosen on purpose. A good AI workspace should not only handle clean text. It should be able to make sense of dense research, spoken content, and messy internal material.

The outputs tested included one slide deck, one infographic, one short video, one comic strip, and one podcast script. The IvyCraft review focused on three things: whether the outputs stayed coherent, whether the design quality was usable without heavy fixing, and whether the platform reduced hallucination by tying claims back to source content.

Results:

Deep Dive: Core Features

Here are some core features of IvyCraft that you should know about:

The Source Library

The Source Library is where IvyCraft starts to feel less like a chatbot and more like a workspace. 

Instead of asking questions in an empty chat window, users first upload or add their source materials. That could be a PDF report, a YouTube lecture, an audio memo, a URL, or a text document. IvyCraft then reads those materials before generating anything.

That matters more than it sounds. In many AI tools, users spend half the time reminding the model what the project is about. IvyCraft keeps the source context available. The workflow feels closer to building from a research folder than chatting with a general model.

For researchers, this is useful because arguments stay closer to the source. For marketers, it means one webinar or white paper can become several content assets. For teachers, a lesson can start from one video or chapter and turn into a visual learning material.

AI Infographics: The Visual Breakthrough

The infographic tool is one of IvyCraft’s strongest features. The basic process is simple. Highlight or select content, then generate an infographic. The question is whether IvyCraft simply dumps bullet points into a decorative template or actually understands the information.

The answer is mixed, but mostly positive. For the climate tech PDF, IvyCraft did more than create a circle of bullets. It grouped related ideas, separated causes from outcomes, and turned timeline-style information into a visual flow. The first version still needed refinement, mostly spacing and wording, but the logic of the layout made sense.

This is where IvyCraft stands apart from text-first AI tools. A summary is useful, but an infographic changes how quickly someone else can understand the material. The platform seems to understand that knowledge work does not end with comprehension. It ends when the idea can be communicated clearly.

Results:

The weaker side needs polishing. Dense source material can lead to crowded visuals. Shorter, cleaner sections produce better infographics. Still, as a first draft, the feature is strong enough to save serious time.

AI Video and Comics

The video and comic tools are built for repurposing. That is where IvyCraft starts becoming valuable for educators, marketers, and internal communication teams.

A dry report can become a short explainer video. A lecture can become a comic strip for students. A webinar can turn into short social content.

The short video output was best when the topic had a clear structure. The investor lecture, for example, converted well into a short “key takeaways” video. The pacing was acceptable, the script was readable, and the visuals followed the main ideas. It was not a replacement for a professional editor. It was, however, a very solid first version.

Result:

The voiceover quality was usable. It sounded clean enough for internal content, learning material, and social snippets. For polished brand campaigns, manual editing would still help.

The comic output was surprisingly effective for education-style content. IvyCraft turned abstract climate tech concepts into a sequence of panels that felt easier to follow than a plain summary. 

The main limitation is depth. IvyCraft’s AI video feature is better for short loops, explainers, and social clips than long narrative videos. That is not a failure. It is just where the tool currently fits best.

AI Slides: The Gamma Competitor

Slides are where IvyCraft enters more familiar territory. Gamma, Tome, and similar tools already made prompt-to-deck generation popular.

IvyCraft’s advantage is not that it creates slides. It is that the slides are grounded in the uploaded source material.

When the climate tech PDF was converted into a deck, IvyCraft did a decent job identifying the argument structure. It opened with the problem, moved into market forces, then covered technology categories and investment implications. That is better than simply shuffling facts.

If the goal is a quick startup pitch from a short prompt, Gamma may feel faster. If the goal is a slide deck based on a real document, IvyCraft feels safer.

Source Traceability: The Fact-Check Mode

Source traceability is one of IvyCraft’s most important features.

When a generated output contains a claim, users can trace that claim back to the source. In practice, this reduces the anxiety that comes with AI-generated material. Instead of rereading the entire PDF to verify one point, users can jump back to the original section.

NotebookLM is already strong in source-grounded Q&A. IvyCraft’s key move is applying similar trust mechanics to creative outputs. A slide, infographic, or podcast script is more useful when it can still point back to the original source.

For casual users, this may feel like a nice bonus. For professional users, it is one of the reasons the product is worth taking seriously.

Workflow Comparison: Before Vs. After

The biggest value of IvyCraft becomes obvious when comparing workflows.

ScenarioThe Old WayThe IvyCraft Way
ResearcherRead PDF for 2 hours, summarize in Word, build PowerPoint manuallyUpload PDF, generate summary, convert key sections into infographic and slides
TeacherFind YouTube video, write questions, search for images, create worksheetPaste video URL, generate comic strip, create quiz or lesson asset
Marketing TeamListen to webinar, transcribe audio, feed notes into ChatGPT, design assets in CanvaUpload audio, extract quotes, generate video clips and visual content
AnalystReview long report, pull charts manually, build executive summaryUpload source, generate slide deck, trace claims back to source
Internal TeamTurn meeting audio into notes, then rewrite for updatesUpload audio memo, generate summary, podcast script, and short shareable content

This is where IvyCraft’s value becomes clearer. It does not only save time on one task. It reduces handoffs between tools.

That matters because most knowledge work is not difficult at one step. It becomes difficult because the work keeps moving between apps.

Why Choose IvyCraft Over NotebookLM?

NotebookLM is a strong tool. It is especially useful for source-based Q&A and audio summaries. But it has limits.

NotebookLM can help users understand sources, but its creative flexibility is narrower. Its generated images cannot be edited afterward in the same way a design workspace allows. Outside of image and podcast generation, users still rely heavily on prompts and external tools to create visual assets.

IvyCraft does not have that same limitation. It supports a wider range of outputs, including PPTX presentations, infographics, comics, podcasts, posters, videos, and more. That makes it more useful when the goal is not only to understand material but to turn that material into communication.

Source traceability is also comparable in intent. Both platforms take grounding seriously. The difference is that IvyCraft carries that traceability into more content formats.

So the choice is not simply “IvyCraft vs. NotebookLM.” It is more about the job. If the goal is studying and asking questions, NotebookLM works well. If the goal is turning source material into finished creative assets, IvyCraft has the broader workspace.

Head-To-Head Comparison

FeatureIvyCraftNotebookLMGammaChatGPT
Core OutputVisual + Audio + TextAudio + NotesSlidesText/Chat
InfographicsNativeNoLimitedLimited
Video/ComicsYesNoNoNo
PodcastsYesYesNoScript only
SlidesYesNo native deck generationYesOutline only
Source CitationStrong visual/source tracingStrong text groundingLimitedDepends on input
Best ForEnd-to-end content creationStudy and source Q&AQuick decksBrainstorming and writing

IvyCraft’s strongest advantage is range. It combines analysis and creation in a way most competitors do not.

Pros And Cons

Here are some pros and cons that can help you come up with a decision:

Pros

  1. The Glue is Real: IvyCraft brings reading, summarizing, designing, and repurposing into one flow. That is its strongest quality.
  2. Visual IQ is Better than Expected: The infographic and comic tools are not just decorative. They often organize ideas in a way that makes sense.
  3. Source Tracing Builds Trust: Being able to click back to original material reduces the “black box” feeling that comes with many AI tools.
  4. Good for Repurposing: One source can become a deck, podcast, short video, and visual summary.

Cons

Pricing And Value

IvyCraft’s value depends on how many tools it replaces. A typical content or research workflow may involve Canva Pro, ChatGPT Plus, NotebookLM, a video tool, a podcast tool, and a slide generator. Even if some of those tools are free, the workflow still costs time and attention.

Who Is IvyCraft For?

Good Fit

  1. Researchers and Analysts who need to turn dense source material into visual briefs, slides, or summaries.
  2. Educators who want to make lessons more engaging by converting chapters or videos into comics, quizzes, storyboards, or audio material.
  3. Content Marketers who need to repurpose one webinar, report, or podcast into multiple pieces of content.
  4. Consultants who regularly turn research into decks, client summaries, and visual explanations.

Bad Fit

  1. Coders who need advanced code execution, debugging, or notebook-style computation.
  2. Users Who Only Need Simple Chat may find the workspace model more than they need.

FAQ

Is IvyCraft Better Than NotebookLM?

It depends on the use case. NotebookLM is excellent for source Q&A and audio overviews. IvyCraft is stronger when users need multiple output formats, such as slides, infographics, comics, podcasts, posters, and videos. It is better for creation, not just study.

Can IvyCraft Generate AI Podcasts From My PDF?

Yes. IvyCraft can use uploaded source material, such as PDFs, to generate podcast-style scripts or audio content. This is useful for turning long reports or research documents into easier listening formats.

Is The Infographic Export High Resolution?

IvyCraft’s infographic output is usable for presentations, internal reports, teaching material, and social content. Complex visuals may still need light editing, especially when the source material is dense.

Does IvyCraft Hallucinate Facts?

IvyCraft reduces hallucination risk by grounding outputs in uploaded sources and offering traceability. That does not mean users should skip review. It means fact-checking is much easier because claims can be traced back to the original material.

Can I Edit the Slides After AI Generates Them?

Yes. IvyCraft-generated slides can be adjusted after creation. In practice, most decks still benefit from light editing before presentation, especially around wording, spacing, and visual emphasis.

The Verdict

IvyCraft earns a strong 4.5 out of 5. It is not just a chat wrapper. The platform understands something many AI tools still miss: knowledge work does not stop at summarization. Most professionals need to explain, present, teach, publish, or repurpose what they learn. That is where IvyCraft stands out. It connects source understanding with content creation, and it does so across formats that usually require several tools. It still has rough edges. Some features might need improvement, but the direction is right. For anyone tired of copying text between AI tools, design apps, slide generators, and audio tools, IvyCraft feels like a serious step forward. Stop switching tabs. Start crafting. Try IvyCraft for free!

#IvyCraft #Review #Workspace #Infographics #Video #PodcastsAI

Most people working with AI today are not using one tool. They are using multiple…

spotted on X. As you can see in the image at the top of this story, I got an AI Overview response that said, “Got it. If you need anything else or have a new question later, just let me know!”

As of Friday afternoon, however, Google isn’t showing an AI Overview for the term “disregard” at all — instead, it shows a list of news stories about the issue first. Google hasn’t replied to our requests for comment. In a statement to Android Authority, a spokesperson said that “We’re aware that AI Overviews are misinterpreting some action-related queries, and we’re working on a fix, which will roll out soon.”

AI Overviews haven’t just been tripping up over the word “disregard.” When searching for “ignore,” Google’s AI Overview section showed the following message to a Verge colleague:

Message received! I’m here and ready to help. What would you like to focus on today? Just let me know if there’s a specific topic, task, or question you’d like to explore.

When they searched “skip,” the AI Overview section said:

It looks like your message was just a test or a typo! Feel free to ask a question, share a prompt, or let me know how I can help you with your tasks today. I’m ready whenever you are!

As of Friday afternoon, Google is still showing me AI Overviews with broken responses when I search for “ignore” and “skip.”

As funny as this all is, it’s almost certainly just some kind of bug — I expect Google will fix it soon enough. Maybe Google Search itself is tired after everything that happened at Google I/O.

Updates, May 22nd: Google now isn’t showing AI Overviews for “disregard.” Also added a Google statement.

#Googles #search #broken #disregard #youreAI,Google,News,Tech"> Google’s AI search is so broken it can ‘disregard’ what you’re looking forGoogle’s AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term “disregard,” the AI Overview section would include a response like what you’d see from a more traditional AI chatbot instead of the typical AI summary, as spotted on X. As you can see in the image at the top of this story, I got an AI Overview response that said, “Got it. If you need anything else or have a new question later, just let me know!”As of Friday afternoon, however, Google isn’t showing an AI Overview for the term “disregard” at all — instead, it shows a list of news stories about the issue first. Google hasn’t replied to our requests for comment. In a statement to Android Authority, a spokesperson said that “We’re aware that AI Overviews are misinterpreting some action-related queries, and we’re working on a fix, which will roll out soon.”AI Overviews haven’t just been tripping up over the word “disregard.” When searching for “ignore,” Google’s AI Overview section showed the following message to a Verge colleague:Message received! I’m here and ready to help. What would you like to focus on today? Just let me know if there’s a specific topic, task, or question you’d like to explore.When they searched “skip,” the AI Overview section said:It looks like your message was just a test or a typo! Feel free to ask a question, share a prompt, or let me know how I can help you with your tasks today. I’m ready whenever you are!As of Friday afternoon, Google is still showing me AI Overviews with broken responses when I search for “ignore” and “skip.”As funny as this all is, it’s almost certainly just some kind of bug — I expect Google will fix it soon enough. Maybe Google Search itself is tired after everything that happened at Google I/O.Updates, May 22nd: Google now isn’t showing AI Overviews for “disregard.” Also added a Google statement.#Googles #search #broken #disregard #youreAI,Google,News,Tech
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spotted on X. As you can see in the image at the top of this story, I got an AI Overview response that said, “Got it. If you need anything else or have a new question later, just let me know!”

As of Friday afternoon, however, Google isn’t showing an AI Overview for the term “disregard” at all — instead, it shows a list of news stories about the issue first. Google hasn’t replied to our requests for comment. In a statement to Android Authority, a spokesperson said that “We’re aware that AI Overviews are misinterpreting some action-related queries, and we’re working on a fix, which will roll out soon.”

AI Overviews haven’t just been tripping up over the word “disregard.” When searching for “ignore,” Google’s AI Overview section showed the following message to a Verge colleague:

Message received! I’m here and ready to help. What would you like to focus on today? Just let me know if there’s a specific topic, task, or question you’d like to explore.

When they searched “skip,” the AI Overview section said:

It looks like your message was just a test or a typo! Feel free to ask a question, share a prompt, or let me know how I can help you with your tasks today. I’m ready whenever you are!

As of Friday afternoon, Google is still showing me AI Overviews with broken responses when I search for “ignore” and “skip.”

As funny as this all is, it’s almost certainly just some kind of bug — I expect Google will fix it soon enough. Maybe Google Search itself is tired after everything that happened at Google I/O.

Updates, May 22nd: Google now isn’t showing AI Overviews for “disregard.” Also added a Google statement.

#Googles #search #broken #disregard #youreAI,Google,News,Tech">Google’s AI search is so broken it can ‘disregard’ what you’re looking for

Google’s AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term “disregard,” the AI Overview section would include a response like what you’d see from a more traditional AI chatbot instead of the typical AI summary, as spotted on X. As you can see in the image at the top of this story, I got an AI Overview response that said, “Got it. If you need anything else or have a new question later, just let me know!”

As of Friday afternoon, however, Google isn’t showing an AI Overview for the term “disregard” at all — instead, it shows a list of news stories about the issue first. Google hasn’t replied to our requests for comment. In a statement to Android Authority, a spokesperson said that “We’re aware that AI Overviews are misinterpreting some action-related queries, and we’re working on a fix, which will roll out soon.”

AI Overviews haven’t just been tripping up over the word “disregard.” When searching for “ignore,” Google’s AI Overview section showed the following message to a Verge colleague:

Message received! I’m here and ready to help. What would you like to focus on today? Just let me know if there’s a specific topic, task, or question you’d like to explore.

When they searched “skip,” the AI Overview section said:

It looks like your message was just a test or a typo! Feel free to ask a question, share a prompt, or let me know how I can help you with your tasks today. I’m ready whenever you are!

As of Friday afternoon, Google is still showing me AI Overviews with broken responses when I search for “ignore” and “skip.”

As funny as this all is, it’s almost certainly just some kind of bug — I expect Google will fix it soon enough. Maybe Google Search itself is tired after everything that happened at Google I/O.

Updates, May 22nd: Google now isn’t showing AI Overviews for “disregard.” Also added a Google statement.

#Googles #search #broken #disregard #youreAI,Google,News,Tech

Google’s AI Overviews are running into an interesting problem right now. Earlier on Friday, if…