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a new report from NBC News says.

It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid.

The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible.

NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says.

While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a $12 billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia.

And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.”

I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop).

Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid. The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says. While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia. And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part: “This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine
©OpenEvidence

When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part:

“This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.”

So that’s somewhat comforting.

On the other hand, according to NBC:

“[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.”

NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads:

“One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise.

‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly”

At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch?

#Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine"> Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid. The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says. While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia. And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part: “This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine
Tech-news

a new report from NBC News says.

It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid.

The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible.

NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says.

While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a $12 billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia.

And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.”

I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop).

Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid. The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says. While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia. And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part: “This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine
©OpenEvidence

When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part:

“This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.”

So that’s somewhat comforting.

On the other hand, according to NBC:

“[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.”

NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads:

“One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise.

‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly”

At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch?

#Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine">Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says

How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says.

It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid.

The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible.

NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says.

While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a $12 billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia.

And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.”

I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop).

Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid. The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says. While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia. And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part: “This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine
©OpenEvidence

When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part:

“This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.”

So that’s somewhat comforting.

On the other hand, according to NBC:

“[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.”

NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads:

“One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise.

‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly”

At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch?

#Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine

How would you like it if, when stumped or just in need of some help…

 

The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.”

Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained:

Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners.

In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.”

Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.”

The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form:

‘Daybreak’: OpenAI’s Answer to Anthropic’s Project Glasswing Has Arrived On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“ OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves. — Sam Altman (@sama) May 11, 2026   The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.” Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained: Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners. In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.” Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.” The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form: © OpenAI Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing. The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits. Then, in theory, it Daybreak patches them. #Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI
© OpenAI

Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing.

The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits.

Then, in theory, it Daybreak patches them.

#Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI"> ‘Daybreak’: OpenAI’s Answer to Anthropic’s Project Glasswing Has Arrived On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“ OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves. — Sam Altman (@sama) May 11, 2026   The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.” Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained: Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners. In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.” Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.” The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form: © OpenAI Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing. The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits. Then, in theory, it Daybreak patches them. #Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI
Tech-news

 

The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.”

Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained:

Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners.

In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.”

Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.”

The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form:

‘Daybreak’: OpenAI’s Answer to Anthropic’s Project Glasswing Has Arrived On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“ OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves. — Sam Altman (@sama) May 11, 2026   The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.” Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained: Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners. In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.” Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.” The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form: © OpenAI Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing. The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits. Then, in theory, it Daybreak patches them. #Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI
© OpenAI

Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing.

The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits.

Then, in theory, it Daybreak patches them.

#Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI">‘Daybreak’: OpenAI’s Answer to Anthropic’s Project Glasswing Has Arrived

On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“

 

The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.”

Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained:

Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners.

In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.”

Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.”

The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form:

‘Daybreak’: OpenAI’s Answer to Anthropic’s Project Glasswing Has Arrived On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“ OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves. — Sam Altman (@sama) May 11, 2026   The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.” Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained: Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners. In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.” Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.” The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form: © OpenAI Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing. The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits. Then, in theory, it Daybreak patches them. #Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI
© OpenAI

Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing.

The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits.

Then, in theory, it Daybreak patches them.

#Daybreak #OpenAIs #Answer #Anthropics #Project #Glasswing #ArrivedArtificial intelligence,Cybersecurity,OpenAI

On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is…

was a sort of all-purpose repository of 360 sacred symbols from around the region. If you were, say, a busy merchant on his way to Medina, whatever the great spiritual truths of the universe may be, they were in there somewhere, so a prayer to the Kaaba had you covered in the god department and you were good to go.

Anthropic seems to be doing something along these lines with Claude.

Last week, representatives from Anthropic—along with OpenAI—attended an event in New York called the “Faith-AI Covenant” roundtable. The New York Board of Rabbis, the Hindu Temple Society of North America, the Church of Jesus Christ of Latter-day Saints, the U.S.-based Sikh Coalition, and the Greek Orthodox Archdiocese of America were all in attendance.

Last month, I wrote about a series of meetings and dinners Anthropic organized with a collection of 15 Christian leaders. Anthropic was looking for advice from the Christians, and guidance on the supposed “spiritual development” of its Claude AI model. At the time Anthropic said it was working on arranging meetings with moral thinkers who represented other groups.

It’s not clear from a fresh Associated Press piece about the Faith-AI Covenant meeting whether these latest conversations with religious leaders and the earlier meetings with Christians were part of a single coherent program at Anthropic, and whether the staff members who participated in the Christian summit participated in this one as well. Gizmodo asked Anthropic for clarity about this on Saturday, but Anthropic did not return our request as of this writing.

The Associated Press also says OpenAI and Anthropic “initiated outreach,” but also that a Swiss NGO called the Interfaith Alliance for Safer Communities organized it, and has plans for future events along similar lines in China, Kenya and the United Arab Emirates. Also mentioned as a “key partner” was Baroness Joanna Shields, a member of the British House of Lords.

There’s not a single clear takeaway in the AP story—no religious instructions laid out by all these spiritual leaders. But what Anthropic calls Claude’s constitution includes a dissection of the philosophically fraught moral work Anthropic is at least trying to do by injecting morals into a machine: getting it to make the decision of a person with perfect values when there’s no way to write a rule for a situation that arises, and the consequences of making the wrong decision could be dire. This, Anthropic writes, is “centrally because we worry that our efforts to give Claude good enough ethical values will fail.”

To this end, the Associated Press story extracts some quietly devastating commentary from Rumman Chowdhury, CEO of a nonprofit called Humane Intelligence: “I think a very naive take that Silicon Valley has had for a couple of years related to generative AI was that we could arrive at some sort of universal principles of ethics,” Chowdhury told the AP, adding, “They have very quickly realized that that’s just not true. That’s not real. So now they’re looking at maybe religion as a way of dealing with the ambiguity of ethically gray situations.”

They are indeed looking at maybe religion. But it’s hard to picture Anthropic coming away from these meetings converted, and inserting one set of specific religious doctrines into Claude. They’re just trying to glean high order ethical truths, and demonstrating to the world that they’ve—ostensibly—left no stone unturned in searching for them.

Your mileage will vary on whether you think a machine charged with making decisions or giving important advice would, when the chips are down, be able to synthesize ideal morals thanks to meetings its creators held with administrators from some of humanity’s premier religions. It probably can’t hurt, sorta like nodding at the pre-Islamic Kaaba. But then again, only God knows for sure.

#Anthropic #Added #Religions #Quest #Inject #Perfect #Morals #ClaudeArtificial intelligence,religion"> Anthropic Has Added Several More Religions on Its Quest to Inject Perfect Morals into Claude The original mysterious black box wasn’t an AI model at all, but the Kaaba, the black cube at the center of the Sacred Mosque of Mecca. Prior to Muhammad’s conquest of Mecca, the Kaaba was a sort of all-purpose repository of 360 sacred symbols from around the region. If you were, say, a busy merchant on his way to Medina, whatever the great spiritual truths of the universe may be, they were in there somewhere, so a prayer to the Kaaba had you covered in the god department and you were good to go. Anthropic seems to be doing something along these lines with Claude. Last week, representatives from Anthropic—along with OpenAI—attended an event in New York called the “Faith-AI Covenant” roundtable. The New York Board of Rabbis, the Hindu Temple Society of North America, the Church of Jesus Christ of Latter-day Saints, the U.S.-based Sikh Coalition, and the Greek Orthodox Archdiocese of America were all in attendance. Last month, I wrote about a series of meetings and dinners Anthropic organized with a collection of 15 Christian leaders. Anthropic was looking for advice from the Christians, and guidance on the supposed “spiritual development” of its Claude AI model. At the time Anthropic said it was working on arranging meetings with moral thinkers who represented other groups. It’s not clear from a fresh Associated Press piece about the Faith-AI Covenant meeting whether these latest conversations with religious leaders and the earlier meetings with Christians were part of a single coherent program at Anthropic, and whether the staff members who participated in the Christian summit participated in this one as well. Gizmodo asked Anthropic for clarity about this on Saturday, but Anthropic did not return our request as of this writing. The Associated Press also says OpenAI and Anthropic “initiated outreach,” but also that a Swiss NGO called the Interfaith Alliance for Safer Communities organized it, and has plans for future events along similar lines in China, Kenya and the United Arab Emirates. Also mentioned as a “key partner” was Baroness Joanna Shields, a member of the British House of Lords. There’s not a single clear takeaway in the AP story—no religious instructions laid out by all these spiritual leaders. But what Anthropic calls Claude’s constitution includes a dissection of the philosophically fraught moral work Anthropic is at least trying to do by injecting morals into a machine: getting it to make the decision of a person with perfect values when there’s no way to write a rule for a situation that arises, and the consequences of making the wrong decision could be dire. This, Anthropic writes, is “centrally because we worry that our efforts to give Claude good enough ethical values will fail.” To this end, the Associated Press story extracts some quietly devastating commentary from Rumman Chowdhury, CEO of a nonprofit called Humane Intelligence: “I think a very naive take that Silicon Valley has had for a couple of years related to generative AI was that we could arrive at some sort of universal principles of ethics,” Chowdhury told the AP, adding, “They have very quickly realized that that’s just not true. That’s not real. So now they’re looking at maybe religion as a way of dealing with the ambiguity of ethically gray situations.” They are indeed looking at maybe religion. But it’s hard to picture Anthropic coming away from these meetings converted, and inserting one set of specific religious doctrines into Claude. They’re just trying to glean high order ethical truths, and demonstrating to the world that they’ve—ostensibly—left no stone unturned in searching for them. Your mileage will vary on whether you think a machine charged with making decisions or giving important advice would, when the chips are down, be able to synthesize ideal morals thanks to meetings its creators held with administrators from some of humanity’s premier religions. It probably can’t hurt, sorta like nodding at the pre-Islamic Kaaba. But then again, only God knows for sure. #Anthropic #Added #Religions #Quest #Inject #Perfect #Morals #ClaudeArtificial intelligence,religion
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was a sort of all-purpose repository of 360 sacred symbols from around the region. If you were, say, a busy merchant on his way to Medina, whatever the great spiritual truths of the universe may be, they were in there somewhere, so a prayer to the Kaaba had you covered in the god department and you were good to go.

Anthropic seems to be doing something along these lines with Claude.

Last week, representatives from Anthropic—along with OpenAI—attended an event in New York called the “Faith-AI Covenant” roundtable. The New York Board of Rabbis, the Hindu Temple Society of North America, the Church of Jesus Christ of Latter-day Saints, the U.S.-based Sikh Coalition, and the Greek Orthodox Archdiocese of America were all in attendance.

Last month, I wrote about a series of meetings and dinners Anthropic organized with a collection of 15 Christian leaders. Anthropic was looking for advice from the Christians, and guidance on the supposed “spiritual development” of its Claude AI model. At the time Anthropic said it was working on arranging meetings with moral thinkers who represented other groups.

It’s not clear from a fresh Associated Press piece about the Faith-AI Covenant meeting whether these latest conversations with religious leaders and the earlier meetings with Christians were part of a single coherent program at Anthropic, and whether the staff members who participated in the Christian summit participated in this one as well. Gizmodo asked Anthropic for clarity about this on Saturday, but Anthropic did not return our request as of this writing.

The Associated Press also says OpenAI and Anthropic “initiated outreach,” but also that a Swiss NGO called the Interfaith Alliance for Safer Communities organized it, and has plans for future events along similar lines in China, Kenya and the United Arab Emirates. Also mentioned as a “key partner” was Baroness Joanna Shields, a member of the British House of Lords.

There’s not a single clear takeaway in the AP story—no religious instructions laid out by all these spiritual leaders. But what Anthropic calls Claude’s constitution includes a dissection of the philosophically fraught moral work Anthropic is at least trying to do by injecting morals into a machine: getting it to make the decision of a person with perfect values when there’s no way to write a rule for a situation that arises, and the consequences of making the wrong decision could be dire. This, Anthropic writes, is “centrally because we worry that our efforts to give Claude good enough ethical values will fail.”

To this end, the Associated Press story extracts some quietly devastating commentary from Rumman Chowdhury, CEO of a nonprofit called Humane Intelligence: “I think a very naive take that Silicon Valley has had for a couple of years related to generative AI was that we could arrive at some sort of universal principles of ethics,” Chowdhury told the AP, adding, “They have very quickly realized that that’s just not true. That’s not real. So now they’re looking at maybe religion as a way of dealing with the ambiguity of ethically gray situations.”

They are indeed looking at maybe religion. But it’s hard to picture Anthropic coming away from these meetings converted, and inserting one set of specific religious doctrines into Claude. They’re just trying to glean high order ethical truths, and demonstrating to the world that they’ve—ostensibly—left no stone unturned in searching for them.

Your mileage will vary on whether you think a machine charged with making decisions or giving important advice would, when the chips are down, be able to synthesize ideal morals thanks to meetings its creators held with administrators from some of humanity’s premier religions. It probably can’t hurt, sorta like nodding at the pre-Islamic Kaaba. But then again, only God knows for sure.

#Anthropic #Added #Religions #Quest #Inject #Perfect #Morals #ClaudeArtificial intelligence,religion">Anthropic Has Added Several More Religions on Its Quest to Inject Perfect Morals into ClaudeAnthropic Has Added Several More Religions on Its Quest to Inject Perfect Morals into Claude The original mysterious black box wasn’t an AI model at all, but the Kaaba, the black cube at the center of the Sacred Mosque of Mecca. Prior to Muhammad’s conquest of Mecca, the Kaaba was a sort of all-purpose repository of 360 sacred symbols from around the region. If you were, say, a busy merchant on his way to Medina, whatever the great spiritual truths of the universe may be, they were in there somewhere, so a prayer to the Kaaba had you covered in the god department and you were good to go. Anthropic seems to be doing something along these lines with Claude. Last week, representatives from Anthropic—along with OpenAI—attended an event in New York called the “Faith-AI Covenant” roundtable. The New York Board of Rabbis, the Hindu Temple Society of North America, the Church of Jesus Christ of Latter-day Saints, the U.S.-based Sikh Coalition, and the Greek Orthodox Archdiocese of America were all in attendance. Last month, I wrote about a series of meetings and dinners Anthropic organized with a collection of 15 Christian leaders. Anthropic was looking for advice from the Christians, and guidance on the supposed “spiritual development” of its Claude AI model. At the time Anthropic said it was working on arranging meetings with moral thinkers who represented other groups. It’s not clear from a fresh Associated Press piece about the Faith-AI Covenant meeting whether these latest conversations with religious leaders and the earlier meetings with Christians were part of a single coherent program at Anthropic, and whether the staff members who participated in the Christian summit participated in this one as well. Gizmodo asked Anthropic for clarity about this on Saturday, but Anthropic did not return our request as of this writing. The Associated Press also says OpenAI and Anthropic “initiated outreach,” but also that a Swiss NGO called the Interfaith Alliance for Safer Communities organized it, and has plans for future events along similar lines in China, Kenya and the United Arab Emirates. Also mentioned as a “key partner” was Baroness Joanna Shields, a member of the British House of Lords. There’s not a single clear takeaway in the AP story—no religious instructions laid out by all these spiritual leaders. But what Anthropic calls Claude’s constitution includes a dissection of the philosophically fraught moral work Anthropic is at least trying to do by injecting morals into a machine: getting it to make the decision of a person with perfect values when there’s no way to write a rule for a situation that arises, and the consequences of making the wrong decision could be dire. This, Anthropic writes, is “centrally because we worry that our efforts to give Claude good enough ethical values will fail.” To this end, the Associated Press story extracts some quietly devastating commentary from Rumman Chowdhury, CEO of a nonprofit called Humane Intelligence: “I think a very naive take that Silicon Valley has had for a couple of years related to generative AI was that we could arrive at some sort of universal principles of ethics,” Chowdhury told the AP, adding, “They have very quickly realized that that’s just not true. That’s not real. So now they’re looking at maybe religion as a way of dealing with the ambiguity of ethically gray situations.” They are indeed looking at maybe religion. But it’s hard to picture Anthropic coming away from these meetings converted, and inserting one set of specific religious doctrines into Claude. They’re just trying to glean high order ethical truths, and demonstrating to the world that they’ve—ostensibly—left no stone unturned in searching for them. Your mileage will vary on whether you think a machine charged with making decisions or giving important advice would, when the chips are down, be able to synthesize ideal morals thanks to meetings its creators held with administrators from some of humanity’s premier religions. It probably can’t hurt, sorta like nodding at the pre-Islamic Kaaba. But then again, only God knows for sure. #Anthropic #Added #Religions #Quest #Inject #Perfect #Morals #ClaudeArtificial intelligence,religion

The original mysterious black box wasn’t an AI model at all, but the Kaaba, the black cube at the center of the Sacred Mosque of Mecca. Prior to Muhammad’s conquest of Mecca, the Kaaba was a sort of all-purpose repository of 360 sacred symbols from around the region. If you were, say, a busy merchant on his way to Medina, whatever the great spiritual truths of the universe may be, they were in there somewhere, so a prayer to the Kaaba had you covered in the god department and you were good to go.

Anthropic seems to be doing something along these lines with Claude.

Last week, representatives from Anthropic—along with OpenAI—attended an event in New York called the “Faith-AI Covenant” roundtable. The New York Board of Rabbis, the Hindu Temple Society of North America, the Church of Jesus Christ of Latter-day Saints, the U.S.-based Sikh Coalition, and the Greek Orthodox Archdiocese of America were all in attendance.

Last month, I wrote about a series of meetings and dinners Anthropic organized with a collection of 15 Christian leaders. Anthropic was looking for advice from the Christians, and guidance on the supposed “spiritual development” of its Claude AI model. At the time Anthropic said it was working on arranging meetings with moral thinkers who represented other groups.

It’s not clear from a fresh Associated Press piece about the Faith-AI Covenant meeting whether these latest conversations with religious leaders and the earlier meetings with Christians were part of a single coherent program at Anthropic, and whether the staff members who participated in the Christian summit participated in this one as well. Gizmodo asked Anthropic for clarity about this on Saturday, but Anthropic did not return our request as of this writing.

The Associated Press also says OpenAI and Anthropic “initiated outreach,” but also that a Swiss NGO called the Interfaith Alliance for Safer Communities organized it, and has plans for future events along similar lines in China, Kenya and the United Arab Emirates. Also mentioned as a “key partner” was Baroness Joanna Shields, a member of the British House of Lords.

There’s not a single clear takeaway in the AP story—no religious instructions laid out by all these spiritual leaders. But what Anthropic calls Claude’s constitution includes a dissection of the philosophically fraught moral work Anthropic is at least trying to do by injecting morals into a machine: getting it to make the decision of a person with perfect values when there’s no way to write a rule for a situation that arises, and the consequences of making the wrong decision could be dire. This, Anthropic writes, is “centrally because we worry that our efforts to give Claude good enough ethical values will fail.”

To this end, the Associated Press story extracts some quietly devastating commentary from Rumman Chowdhury, CEO of a nonprofit called Humane Intelligence: “I think a very naive take that Silicon Valley has had for a couple of years related to generative AI was that we could arrive at some sort of universal principles of ethics,” Chowdhury told the AP, adding, “They have very quickly realized that that’s just not true. That’s not real. So now they’re looking at maybe religion as a way of dealing with the ambiguity of ethically gray situations.”

They are indeed looking at maybe religion. But it’s hard to picture Anthropic coming away from these meetings converted, and inserting one set of specific religious doctrines into Claude. They’re just trying to glean high order ethical truths, and demonstrating to the world that they’ve—ostensibly—left no stone unturned in searching for them.

Your mileage will vary on whether you think a machine charged with making decisions or giving important advice would, when the chips are down, be able to synthesize ideal morals thanks to meetings its creators held with administrators from some of humanity’s premier religions. It probably can’t hurt, sorta like nodding at the pre-Islamic Kaaba. But then again, only God knows for sure.

#Anthropic #Added #Religions #Quest #Inject #Perfect #Morals #ClaudeArtificial intelligence,religion

The original mysterious black box wasn’t an AI model at all, but the Kaaba, the…

trial in Musk v. Altman comes to a close, one person has emerged as a critical behind-the-scenes manager of communications and egos in OpenAI’s early years: Shivon Zilis.

A longtime employee of Musk and the mother to four of his children, Zilis joined OpenAI as an adviser in 2016. She later served as a director of its nonprofit board from 2020 until 2023 and has worked as an executive at Musk’s other companies, Neuralink and Tesla.

When asked about the nature of his relationship with Zilis in court, Musk offered several answers. At one point, he called her a “chief of staff.” Later, a “close adviser.” At another point, he said “we live together, and she’s the mother of four of my children,” though Zilis said in a deposition that Musk is more of a regular guest and maintains his own residence. Last September, Zilis told OpenAI’s attorneys that she became romantic with Musk around 2016 after she had become an informal adviser to OpenAI. They had their first two children in 2021, she said.

But OpenAI’s lawyers have made the case in witness testimonies and evidence that her most important role, as it pertains to this lawsuit, is being a covert liaison between OpenAI and Musk, even years after he left the nonprofit’s board in February 2018.

“Do you prefer I stay close and friendly to OpenAI to keep info flowing or begin to disassociate? Trust game is about to get tricky so any guidance for how to do right by you is appreciated,” Zilis wrote in a text message to Musk on February 16, 2018, days before OpenAI announced he was leaving the board. Musk responded, “Close and friendly, but we are going to actively try to move three or four people from OpenAI to Tesla. More than that will join over time, but we won’t actively recruit them.”

When asked about this exchange on the witness stand, Musk said he “wanted to know what’s going on.”

In the same text thread, Musk wrote, “There is little chance of OpenAI being a serious force if I focus on Tesla AI.” Zilis reaffirmed him, saying: “There is very low probability of a good future if someone doesn’t slow Demis down,” referring to Demis Hassabis, the leader of Google DeepMind, who Musk has said he didn’t trust to control a superintelligent AI system. “You don’t realize how much you have an ability to influence him directly or otherwise slow him down. I think you know I’m not a malicious person, but in this case it feels fundamentally irresponsible to not find a way to slow or alter his path.”

Roughly two months later, in an email from April 23, 2018, Zilis updated Musk on OpenAI’s fundraising efforts and progress on a project to develop an AI that could play video games. In the same message, she said she had reallocated most of her time away from OpenAI to his other companies, Neuralink and Tesla, but told him, “If you’d prefer I pull more hours back to OpenAI oversight please let me know.”

Almost a year earlier, in the summer of 2017, OpenAI’s cofounders had started negotiating changes to the organization’s corporate structure—Musk wanted control of the company to start out. In an email from August 28, 2017, Zilis wrote to Musk that she had met with OpenAI president Greg Brockman and cofounder Ilya Sutskever to discuss how equity would be divided up in the new company. She summarized points from the meeting, including that Brockman and Sutskever thought one person shouldn’t have unilateral power over AGI, should they develop it. Musk wrote back to Zilis, “This is very annoying. Please encourage them to go start a company. I’ve had enough.”

#Shivon #Zilis #Operated #Elon #Musks #OpenAI #Insidermodel behavior,artificial intelligence,openai,elon musk,sam altman,neuralink,musk v. altman trial"> How Shivon Zilis Operated as Elon Musk’s OpenAI InsiderAs the first week of trial in Musk v. Altman comes to a close, one person has emerged as a critical behind-the-scenes manager of communications and egos in OpenAI’s early years: Shivon Zilis.A longtime employee of Musk and the mother to four of his children, Zilis joined OpenAI as an adviser in 2016. She later served as a director of its nonprofit board from 2020 until 2023 and has worked as an executive at Musk’s other companies, Neuralink and Tesla.When asked about the nature of his relationship with Zilis in court, Musk offered several answers. At one point, he called her a “chief of staff.” Later, a “close adviser.” At another point, he said “we live together, and she’s the mother of four of my children,” though Zilis said in a deposition that Musk is more of a regular guest and maintains his own residence. Last September, Zilis told OpenAI’s attorneys that she became romantic with Musk around 2016 after she had become an informal adviser to OpenAI. They had their first two children in 2021, she said.But OpenAI’s lawyers have made the case in witness testimonies and evidence that her most important role, as it pertains to this lawsuit, is being a covert liaison between OpenAI and Musk, even years after he left the nonprofit’s board in February 2018.“Do you prefer I stay close and friendly to OpenAI to keep info flowing or begin to disassociate? Trust game is about to get tricky so any guidance for how to do right by you is appreciated,” Zilis wrote in a text message to Musk on February 16, 2018, days before OpenAI announced he was leaving the board. Musk responded, “Close and friendly, but we are going to actively try to move three or four people from OpenAI to Tesla. More than that will join over time, but we won’t actively recruit them.”When asked about this exchange on the witness stand, Musk said he “wanted to know what’s going on.”In the same text thread, Musk wrote, “There is little chance of OpenAI being a serious force if I focus on Tesla AI.” Zilis reaffirmed him, saying: “There is very low probability of a good future if someone doesn’t slow Demis down,” referring to Demis Hassabis, the leader of Google DeepMind, who Musk has said he didn’t trust to control a superintelligent AI system. “You don’t realize how much you have an ability to influence him directly or otherwise slow him down. I think you know I’m not a malicious person, but in this case it feels fundamentally irresponsible to not find a way to slow or alter his path.”Roughly two months later, in an email from April 23, 2018, Zilis updated Musk on OpenAI’s fundraising efforts and progress on a project to develop an AI that could play video games. In the same message, she said she had reallocated most of her time away from OpenAI to his other companies, Neuralink and Tesla, but told him, “If you’d prefer I pull more hours back to OpenAI oversight please let me know.”Almost a year earlier, in the summer of 2017, OpenAI’s cofounders had started negotiating changes to the organization’s corporate structure—Musk wanted control of the company to start out. In an email from August 28, 2017, Zilis wrote to Musk that she had met with OpenAI president Greg Brockman and cofounder Ilya Sutskever to discuss how equity would be divided up in the new company. She summarized points from the meeting, including that Brockman and Sutskever thought one person shouldn’t have unilateral power over AGI, should they develop it. Musk wrote back to Zilis, “This is very annoying. Please encourage them to go start a company. I’ve had enough.”#Shivon #Zilis #Operated #Elon #Musks #OpenAI #Insidermodel behavior,artificial intelligence,openai,elon musk,sam altman,neuralink,musk v. altman trial
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trial in Musk v. Altman comes to a close, one person has emerged as a critical behind-the-scenes manager of communications and egos in OpenAI’s early years: Shivon Zilis.

A longtime employee of Musk and the mother to four of his children, Zilis joined OpenAI as an adviser in 2016. She later served as a director of its nonprofit board from 2020 until 2023 and has worked as an executive at Musk’s other companies, Neuralink and Tesla.

When asked about the nature of his relationship with Zilis in court, Musk offered several answers. At one point, he called her a “chief of staff.” Later, a “close adviser.” At another point, he said “we live together, and she’s the mother of four of my children,” though Zilis said in a deposition that Musk is more of a regular guest and maintains his own residence. Last September, Zilis told OpenAI’s attorneys that she became romantic with Musk around 2016 after she had become an informal adviser to OpenAI. They had their first two children in 2021, she said.

But OpenAI’s lawyers have made the case in witness testimonies and evidence that her most important role, as it pertains to this lawsuit, is being a covert liaison between OpenAI and Musk, even years after he left the nonprofit’s board in February 2018.

“Do you prefer I stay close and friendly to OpenAI to keep info flowing or begin to disassociate? Trust game is about to get tricky so any guidance for how to do right by you is appreciated,” Zilis wrote in a text message to Musk on February 16, 2018, days before OpenAI announced he was leaving the board. Musk responded, “Close and friendly, but we are going to actively try to move three or four people from OpenAI to Tesla. More than that will join over time, but we won’t actively recruit them.”

When asked about this exchange on the witness stand, Musk said he “wanted to know what’s going on.”

In the same text thread, Musk wrote, “There is little chance of OpenAI being a serious force if I focus on Tesla AI.” Zilis reaffirmed him, saying: “There is very low probability of a good future if someone doesn’t slow Demis down,” referring to Demis Hassabis, the leader of Google DeepMind, who Musk has said he didn’t trust to control a superintelligent AI system. “You don’t realize how much you have an ability to influence him directly or otherwise slow him down. I think you know I’m not a malicious person, but in this case it feels fundamentally irresponsible to not find a way to slow or alter his path.”

Roughly two months later, in an email from April 23, 2018, Zilis updated Musk on OpenAI’s fundraising efforts and progress on a project to develop an AI that could play video games. In the same message, she said she had reallocated most of her time away from OpenAI to his other companies, Neuralink and Tesla, but told him, “If you’d prefer I pull more hours back to OpenAI oversight please let me know.”

Almost a year earlier, in the summer of 2017, OpenAI’s cofounders had started negotiating changes to the organization’s corporate structure—Musk wanted control of the company to start out. In an email from August 28, 2017, Zilis wrote to Musk that she had met with OpenAI president Greg Brockman and cofounder Ilya Sutskever to discuss how equity would be divided up in the new company. She summarized points from the meeting, including that Brockman and Sutskever thought one person shouldn’t have unilateral power over AGI, should they develop it. Musk wrote back to Zilis, “This is very annoying. Please encourage them to go start a company. I’ve had enough.”

#Shivon #Zilis #Operated #Elon #Musks #OpenAI #Insidermodel behavior,artificial intelligence,openai,elon musk,sam altman,neuralink,musk v. altman trial">How Shivon Zilis Operated as Elon Musk’s OpenAI Insider

As the first week of trial in Musk v. Altman comes to a close, one person has emerged as a critical behind-the-scenes manager of communications and egos in OpenAI’s early years: Shivon Zilis.

A longtime employee of Musk and the mother to four of his children, Zilis joined OpenAI as an adviser in 2016. She later served as a director of its nonprofit board from 2020 until 2023 and has worked as an executive at Musk’s other companies, Neuralink and Tesla.

When asked about the nature of his relationship with Zilis in court, Musk offered several answers. At one point, he called her a “chief of staff.” Later, a “close adviser.” At another point, he said “we live together, and she’s the mother of four of my children,” though Zilis said in a deposition that Musk is more of a regular guest and maintains his own residence. Last September, Zilis told OpenAI’s attorneys that she became romantic with Musk around 2016 after she had become an informal adviser to OpenAI. They had their first two children in 2021, she said.

But OpenAI’s lawyers have made the case in witness testimonies and evidence that her most important role, as it pertains to this lawsuit, is being a covert liaison between OpenAI and Musk, even years after he left the nonprofit’s board in February 2018.

“Do you prefer I stay close and friendly to OpenAI to keep info flowing or begin to disassociate? Trust game is about to get tricky so any guidance for how to do right by you is appreciated,” Zilis wrote in a text message to Musk on February 16, 2018, days before OpenAI announced he was leaving the board. Musk responded, “Close and friendly, but we are going to actively try to move three or four people from OpenAI to Tesla. More than that will join over time, but we won’t actively recruit them.”

When asked about this exchange on the witness stand, Musk said he “wanted to know what’s going on.”

In the same text thread, Musk wrote, “There is little chance of OpenAI being a serious force if I focus on Tesla AI.” Zilis reaffirmed him, saying: “There is very low probability of a good future if someone doesn’t slow Demis down,” referring to Demis Hassabis, the leader of Google DeepMind, who Musk has said he didn’t trust to control a superintelligent AI system. “You don’t realize how much you have an ability to influence him directly or otherwise slow him down. I think you know I’m not a malicious person, but in this case it feels fundamentally irresponsible to not find a way to slow or alter his path.”

Roughly two months later, in an email from April 23, 2018, Zilis updated Musk on OpenAI’s fundraising efforts and progress on a project to develop an AI that could play video games. In the same message, she said she had reallocated most of her time away from OpenAI to his other companies, Neuralink and Tesla, but told him, “If you’d prefer I pull more hours back to OpenAI oversight please let me know.”

Almost a year earlier, in the summer of 2017, OpenAI’s cofounders had started negotiating changes to the organization’s corporate structure—Musk wanted control of the company to start out. In an email from August 28, 2017, Zilis wrote to Musk that she had met with OpenAI president Greg Brockman and cofounder Ilya Sutskever to discuss how equity would be divided up in the new company. She summarized points from the meeting, including that Brockman and Sutskever thought one person shouldn’t have unilateral power over AGI, should they develop it. Musk wrote back to Zilis, “This is very annoying. Please encourage them to go start a company. I’ve had enough.”

#Shivon #Zilis #Operated #Elon #Musks #OpenAI #Insidermodel behavior,artificial intelligence,openai,elon musk,sam altman,neuralink,musk v. altman trial

As the first week of trial in Musk v. Altman comes to a close, one…

fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta"> Meta Could Spend 5 Billion This Year Due to AI Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021. It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least billion more than expected and could top 5 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.” The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar. Meta’s 5 billion is a dramatic increase from the billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort. Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division. Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than billion, while only cashing in 2 million in sales. That adds to the whopping billion and more the division has lost in the past six years. But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful. “This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.” Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg. “We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said. One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users. “Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.” AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm. On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.” #Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta
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fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta">Meta Could Spend $145 Billion This Year Due to AIMeta Could Spend $145 Billion This Year Due to AI Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021. It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.” The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar. Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort. Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division. Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years. But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful. “This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.” Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg. “We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said. One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users. “Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.” AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm. On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.” #Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta

Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta

Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft…

his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits"> How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending million payments to OpenAI quarterly as part of a broader billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits
Tech-news

his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits">How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’

Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits

Elon Musk returned to the witness stand on Wednesday to continue telling his side of…

revealed to include a line, repeated several times, that specifically forbids it from randomly mentioning an assortment of mythical and real creatures.

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query,” read instructions in Codex CLI, a command-line tool for using AI to generate code.

It is unclear why OpenAI felt compelled to spell this out for Codex—or indeed why its models might want to discuss goblins or pigeons in the first place. The company did not immediately respond to a request for comment.

OpenAI’s newest model, GPT-5.5, was released with enhanced coding skills earlier this month. The company is in a fierce race with rivals, especially Anthropic, to deliver cutting-edge AI, and coding has emerged as a killer capability.

In response to a post on X that highlighted the lines, however, some users claimed that OpenAI’s models occasionally become obsessed with goblins and other creatures when used to power OpenClaw, a tool that lets AI take control of a computer and apps running on it in order to do useful things for users.

“I was wondering why my claw suddenly became a goblin with codex 5.5,” one user wrote on X.

“Been using it a lot lately and it actually can’t stop speaking of bugs as ‘gremlins’ and ‘goblins’ it’s hilarious,” posted another.

The discovery quickly became its own meme, inspiring AI-generated scenes of goblins in data centers, and plug-ins for Codex that put it in a playful “goblin mode.”

AI models like GPT-5.5 are trained to predict the word—or code—that should follow a given prompt. These models have become so good at doing this that they appear to exhibit genuine intelligence. But their probabilistic nature means that they can sometimes behave in surprising ways. A model might become more prone to misbehavior when used with an “agentic harness” like OpenClaw that puts lots of additional instructions into prompts, such as facts stored in long-term memory.

OpenAI acquired OpenClaw in February not long after the tool became a viral hit among AI enthusiasts. OpenClaw can use any AI model to automate useful tasks like answering emails or buying things on the web. Users can select any of various personae for their helper, which shapes its behavior and responses.

OpenAI staffers appeared to acknowledge the prohibition. In response to a post highlighting OpenClaw’s goblin tendencies, Nik Pash, who works on Codex, wrote, “This is indeed one of the reasons.”

Even Sam Altman, OpenAI’s CEO, joined in with the memes, posting a screenshot of a prompt for ChatGPT. It read: “Start training GPT-6, you can have the whole cluster. Extra goblins.”

#OpenAI #Codex #Shut #Goblinsopenai,artificial intelligence,coding,agentic ai,trolls"> OpenAI Really Wants Codex to Shut Up About GoblinsOpenAI has a goblin problem.Instructions designed to guide the behavior of the company’s latest model as it writes code have been revealed to include a line, repeated several times, that specifically forbids it from randomly mentioning an assortment of mythical and real creatures.“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query,” read instructions in Codex CLI, a command-line tool for using AI to generate code.It is unclear why OpenAI felt compelled to spell this out for Codex—or indeed why its models might want to discuss goblins or pigeons in the first place. The company did not immediately respond to a request for comment.OpenAI’s newest model, GPT-5.5, was released with enhanced coding skills earlier this month. The company is in a fierce race with rivals, especially Anthropic, to deliver cutting-edge AI, and coding has emerged as a killer capability.In response to a post on X that highlighted the lines, however, some users claimed that OpenAI’s models occasionally become obsessed with goblins and other creatures when used to power OpenClaw, a tool that lets AI take control of a computer and apps running on it in order to do useful things for users.“I was wondering why my claw suddenly became a goblin with codex 5.5,” one user wrote on X.“Been using it a lot lately and it actually can’t stop speaking of bugs as ‘gremlins’ and ‘goblins’ it’s hilarious,” posted another.The discovery quickly became its own meme, inspiring AI-generated scenes of goblins in data centers, and plug-ins for Codex that put it in a playful “goblin mode.”AI models like GPT-5.5 are trained to predict the word—or code—that should follow a given prompt. These models have become so good at doing this that they appear to exhibit genuine intelligence. But their probabilistic nature means that they can sometimes behave in surprising ways. A model might become more prone to misbehavior when used with an “agentic harness” like OpenClaw that puts lots of additional instructions into prompts, such as facts stored in long-term memory.OpenAI acquired OpenClaw in February not long after the tool became a viral hit among AI enthusiasts. OpenClaw can use any AI model to automate useful tasks like answering emails or buying things on the web. Users can select any of various personae for their helper, which shapes its behavior and responses.OpenAI staffers appeared to acknowledge the prohibition. In response to a post highlighting OpenClaw’s goblin tendencies, Nik Pash, who works on Codex, wrote, “This is indeed one of the reasons.”Even Sam Altman, OpenAI’s CEO, joined in with the memes, posting a screenshot of a prompt for ChatGPT. It read: “Start training GPT-6, you can have the whole cluster. Extra goblins.”#OpenAI #Codex #Shut #Goblinsopenai,artificial intelligence,coding,agentic ai,trolls
Tech-news

revealed to include a line, repeated several times, that specifically forbids it from randomly mentioning an assortment of mythical and real creatures.

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query,” read instructions in Codex CLI, a command-line tool for using AI to generate code.

It is unclear why OpenAI felt compelled to spell this out for Codex—or indeed why its models might want to discuss goblins or pigeons in the first place. The company did not immediately respond to a request for comment.

OpenAI’s newest model, GPT-5.5, was released with enhanced coding skills earlier this month. The company is in a fierce race with rivals, especially Anthropic, to deliver cutting-edge AI, and coding has emerged as a killer capability.

In response to a post on X that highlighted the lines, however, some users claimed that OpenAI’s models occasionally become obsessed with goblins and other creatures when used to power OpenClaw, a tool that lets AI take control of a computer and apps running on it in order to do useful things for users.

“I was wondering why my claw suddenly became a goblin with codex 5.5,” one user wrote on X.

“Been using it a lot lately and it actually can’t stop speaking of bugs as ‘gremlins’ and ‘goblins’ it’s hilarious,” posted another.

The discovery quickly became its own meme, inspiring AI-generated scenes of goblins in data centers, and plug-ins for Codex that put it in a playful “goblin mode.”

AI models like GPT-5.5 are trained to predict the word—or code—that should follow a given prompt. These models have become so good at doing this that they appear to exhibit genuine intelligence. But their probabilistic nature means that they can sometimes behave in surprising ways. A model might become more prone to misbehavior when used with an “agentic harness” like OpenClaw that puts lots of additional instructions into prompts, such as facts stored in long-term memory.

OpenAI acquired OpenClaw in February not long after the tool became a viral hit among AI enthusiasts. OpenClaw can use any AI model to automate useful tasks like answering emails or buying things on the web. Users can select any of various personae for their helper, which shapes its behavior and responses.

OpenAI staffers appeared to acknowledge the prohibition. In response to a post highlighting OpenClaw’s goblin tendencies, Nik Pash, who works on Codex, wrote, “This is indeed one of the reasons.”

Even Sam Altman, OpenAI’s CEO, joined in with the memes, posting a screenshot of a prompt for ChatGPT. It read: “Start training GPT-6, you can have the whole cluster. Extra goblins.”

#OpenAI #Codex #Shut #Goblinsopenai,artificial intelligence,coding,agentic ai,trolls">OpenAI Really Wants Codex to Shut Up About Goblins

OpenAI has a goblin problem.

Instructions designed to guide the behavior of the company’s latest model as it writes code have been revealed to include a line, repeated several times, that specifically forbids it from randomly mentioning an assortment of mythical and real creatures.

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query,” read instructions in Codex CLI, a command-line tool for using AI to generate code.

It is unclear why OpenAI felt compelled to spell this out for Codex—or indeed why its models might want to discuss goblins or pigeons in the first place. The company did not immediately respond to a request for comment.

OpenAI’s newest model, GPT-5.5, was released with enhanced coding skills earlier this month. The company is in a fierce race with rivals, especially Anthropic, to deliver cutting-edge AI, and coding has emerged as a killer capability.

In response to a post on X that highlighted the lines, however, some users claimed that OpenAI’s models occasionally become obsessed with goblins and other creatures when used to power OpenClaw, a tool that lets AI take control of a computer and apps running on it in order to do useful things for users.

“I was wondering why my claw suddenly became a goblin with codex 5.5,” one user wrote on X.

“Been using it a lot lately and it actually can’t stop speaking of bugs as ‘gremlins’ and ‘goblins’ it’s hilarious,” posted another.

The discovery quickly became its own meme, inspiring AI-generated scenes of goblins in data centers, and plug-ins for Codex that put it in a playful “goblin mode.”

AI models like GPT-5.5 are trained to predict the word—or code—that should follow a given prompt. These models have become so good at doing this that they appear to exhibit genuine intelligence. But their probabilistic nature means that they can sometimes behave in surprising ways. A model might become more prone to misbehavior when used with an “agentic harness” like OpenClaw that puts lots of additional instructions into prompts, such as facts stored in long-term memory.

OpenAI acquired OpenClaw in February not long after the tool became a viral hit among AI enthusiasts. OpenClaw can use any AI model to automate useful tasks like answering emails or buying things on the web. Users can select any of various personae for their helper, which shapes its behavior and responses.

OpenAI staffers appeared to acknowledge the prohibition. In response to a post highlighting OpenClaw’s goblin tendencies, Nik Pash, who works on Codex, wrote, “This is indeed one of the reasons.”

Even Sam Altman, OpenAI’s CEO, joined in with the memes, posting a screenshot of a prompt for ChatGPT. It read: “Start training GPT-6, you can have the whole cluster. Extra goblins.”

#OpenAI #Codex #Shut #Goblinsopenai,artificial intelligence,coding,agentic ai,trolls

OpenAI has a goblin problem.Instructions designed to guide the behavior of the company’s latest model…

Indian news

नईदुनिया प्रतिनिधि, इंदौर। जीएसटी ट्रिब्यूनल में असल में सुनवाई शुरू हो उससे पहले उसका व्यावहारिक…

modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces"> This Beanie Is Designed to Read Your ThoughtsSpeech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.Photograph: Courtesy of SabiThe drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces
Tech-news

modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces">This Beanie Is Designed to Read Your Thoughts

Speech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

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