The internet is being rebuilt for machines | TechCrunch Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived. Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle. The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents. While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period. “Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch. At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes. As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic. That’s where AWS’s new OpenSearch Serverless comes in. “The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.” The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle. “Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.” Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot. At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure. The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability. The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#internet #rebuilt #machines #TechCrunchagentic search,AI agents,AWS,aws opensearch serverless

The internet is being rebuilt for machines | TechCrunch

Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived.

Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.

The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents.

While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period.

“Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch.

At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes.

As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic.

That’s where AWS’s new OpenSearch Serverless comes in.

“The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.”

The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle.

“Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.”

Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot.

At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure.

The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability.

The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#internet #rebuilt #machines #TechCrunchagentic search,AI agents,AWS,aws opensearch serverless

Tech-news agentic search, AI agents, AWS, aws opensearch serverless May 28, 2026

Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived.

Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.

The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents.

While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period.

“Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch.

At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes.

As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic.

That’s where AWS’s new OpenSearch Serverless comes in.

“The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.”

The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle.

“Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.”

Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot.

At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure.

The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability.

The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

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

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Tag agentic search AI agents AWS aws opensearch serverless

Olivia Rodrigo Addressed the Backlash to Her Babydoll Dress

Can Ozempic Treat Alcoholism? Here’s What You Should Know
Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders. Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink. © siamionau pavel via Shutterstock There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders? Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

© Mohammed_Al_Ali via Shutterstock And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely. Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month? Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way. Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering? Shah: So there are a couple of things. These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

© Sebastien Bozon/AFP via Getty If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect. Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now? Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too. #Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As — © siamionau pavel via Shutterstock

The obesity medication Saxenda, made with liraglutide — © siamionau pavel via Shutterstock

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As">

mwasimuddin125 0

suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink.

© siamionau pavel via Shutterstock

There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders?

Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

© Mohammed_Al_Ali via Shutterstock

And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely.

Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month?

Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way.

Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering?

Shah: So there are a couple of things.

These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

© Sebastien Bozon/AFP via Getty

If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect.

Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now?

Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too.

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As">Can Ozempic Treat Alcoholism? Here’s What You Should Know

Semaglutide (the active ingredient in Ozempic and Wegovy) and other GLP-1 medications have rapidly become some of the most popular drugs in the world. Originally developed for type 2 diabetes, GLP-1s are now better known for treating obesity. In the near future, though, these drugs could have yet another vital use as treatments for alcohol addiction and other substance use disorders.

Over the past few years, a growing base of evidence has suggested that GLP-1s can tamp down people’s unhealthy urges for alcohol, cocaine, and even vices like gambling. And earlier this month, researchers in Denmark published data from the first double-blinded, randomized, and placebo-controlled trial of semaglutide for alcohol use disorder in The Lancet. Over a 26-week period, the study found that people on semaglutide consumed less alcohol than those given a placebo and experienced noticeably fewer heavy drinking days when they did drink.

There are other similar studies underway, including in the United States. Some are testing semaglutide for other kinds of substance use disorder, like opioids. Others are testing newer drugs like tirzepatide (a dual agonist that pairs GLP-1 with the hunger-related hormone GIP).

I reached out to an outside expert, Asim Shah, a professor and executive vice chair of psychiatry and behavioral sciences at Baylor College of Medicine, to talk about the emerging science surrounding GLP-1s and addiction treatment. We discussed the leading theory behind why GLP-1s can reduce addiction, his opinion of the recent Lancet trial, and what it will take for these drugs to be widely adopted as treatments for substance use disorders. The following has been lightly edited for clarity and grammar.

Ed Cara, Gizmodo: Do we have any sort of sense yet as to how or why GLP-1s seem to be working well against substance use disorders?

Asim Shah: So the craving, or pleasure, center of the brain is related to dopamine, which is a brain neurotransmitter. Whenever you crave something and you eat it or you take it, that gives you pleasure. That is the dopamine functioning in the brain. And all of this is related to the same thing, whether it’s a craving for food, craving for smoking, craving for alcohol, any drug. That’s the neurobiological mechanism of craving and pleasure, and it’s all the same mechanism.

And incidentally, we found out that the people who were losing weight on these GLP-1s, they often also stopped smoking cigarettes and their addiction got better with alcohol. It was an incidental finding, but it’s something people are now trying to study more closely.

Gizmodo: Speaking of studies, what do you make of the newest trial published in The Lancet this month?

Shah: So this was a 26 week study, which had about 100 patients, half and half men and women both. In our world, 100 patients is a medium sized study; a larger one might usually have 300, 400, 600 patients. So this is a medium sized study, which is decent. It’s not bad. And in my opinion, it was done pretty well, not a lot of bias in the study that I saw.

Now, of course, this is not a definitive study. And you need to follow up with these patients after the weeks of study. We call these start-up studies, and they are what we base future, longer and bigger studies on. So it’s a good base, and there are other studies on the way.

Gizmodo: Broadly speaking, what are the questions that these longer and larger studies need to try answering?

Shah: So there are a couple of things.

These are different substances that people are looking at; one is alcohol, one smoking, the other is opiates. So the next studies we should be doing is to see whether GLP-1s like semaglutide can limit more than one of these addictions. Because the mechanism is the same mechanism for all the cravings and the addictions. So can it reduce all of these or just one if somebody is taking it?

Boxes of the GLP-1 medication Ozempic — © Sebastien Bozon/AFP via Getty

If we do keep seeing an effect here, it’s also important to know how quickly this happens and whether it can be sustained after you stop using a GLP-1. That’s why we have to follow people after these sorts of trials, to see if the effect can last after they stop taking the medication or if it requires people needing to stay on the drug for the effect.

Gizmodo: These sort of studies are happening. But what should be the current takeaway for people with these addictions and their doctor? Is this something that could be used in the real world right now?

Shah: Because they’re not approved right now, the takeaway should be that if you already have a current indication to take a GLP-1 which is for diabetes or obesity, certainly take it. If you also get an added advantage of stopping your smoking or alcohol use disorder, that is well and good because we don’t have approval for these disorders currently.

So in other words, if somebody comes to us and says, “Hey, I want to start these medicines for smoking cessation or alcohol use disorder,” we may not be able to prescribe it because there’s no approval. But they can be part of a study which is going on in some centers for those disorders. And if somebody already is using them for diabetes or so, and in addition, they get a benefit for alcoholism, that’s great, too.

#Ozempic #Treat #Alcoholism #Heresaddiction,Alcoholism,GLP-1s,Ozempic,Q&As

Bartesian is the Keurig of cocktails. After trying several automatic cocktail makers on the market, it was the only cocktail maker I could see fitting into my normal routine. It works like any capsule-style device, but with booze. You fill the Bartesian’s glass bottles with your liquor of choice, make sure there’s water in the reservoir, plop in a cocktail capsule (these typically cost $2-3), choose your drink strength, press “mix,” and then a drink comes out. (If you’ve got kids, the Bartesian Professional version comes with a lock that will stymie curious fingers.)

Do you need a Bartesian to make cocktails? Of course you don’t. You can dump tequila into sour mix anytime and call it a margarita. But perhaps you’d like to make an espresso martini, a blackberry margarita, and also a Long Island Iced Tea? The Bartesian is a sort of shortcut to a home bar, without having to store all the mixers—and a bit of a novelty. It will be fun, and silly, and the drinks are kind of fine in a Spring Break way: strong and sweet and with sometimes fun flavors. Don’t expect sophistication. Expect a bit of a party trick, the sort of thing that makes a summer a little more fun.

You’ll, of course, want a Bartesian coupon to make that fun more accessible. Luckily, the current Bartesian discount codes are good for up to 35% off.

Save up to 35% With a Bartesian Cocktail Subscription

Standard pods on the Bartesian come in packs of 8, for $20 to $25. But if you know you plan to use the cocktail machine often—garden parties, art gallery openings, a really cool barber shop, an interesting home life, Friday afternoon margaritaville—the easiest way to save on the Bartesian pods is to sign up for a cocktail subscription. No Bartesian subscription discount codes are required. Subscription boxes always cost $20, so get the ones that’d be otherwise expensive for a 20% discount—then get additional tiered discounts of Bartesian depending on volume and frequency. If you order often or in large quatnities, this can add up to 35% off the regular price.

Save 15% (Or More) When You Purchase a Cocktail Bundle

I can’t tell you what to do. But at current discounts on Bartesian cocktail bundles and add-ons, only a sucker buys a Bartesian as a standalone item. If you flip to the Bartesian bundles page, you can find multiple bundles that offer glassware and cocktail variety packs for about the same price as the machine by itself. The Mom Bundle in particular costs less than the Bartesian Pro machine by itself, but includes 8 margarita capsules and two glasses. As of April 2026, Bartesian is also offering a Mother’s Day deal, offering $100 off the Bartesian Pro or the Bartesian Duet as long as you add a cocktail capsule pack to your order. Presumably, if you are buying the machine, you’ll want the cocktail capsules anyway.

Bartesian Rewards Club: Get More for Your Buck

Bartesian also has a loyalty program that they’re calling, alternately, the Bartesian Club, the Bartesian Rewards Club, or Bartesian Mixologist Rewards. One way or the other, it doesn’t cost anything to sign up, and you get discounts. Basically, you earn 4 to 6 points per dollar you spend, plus get additional points for referring other customers, following Bartesian on Instagram, or just having a birthday. If you get a thousand points, you can redeem them for a $10 discount. There are also exclusive members-only tiers. Rewards are bigger if you’re a big spender. Here are the three membership tiers.

Earn 2,500 Points and Give $25 When You Refer a Friend

The biggest rewards bonus comes when you refer a friend who then buys a Bartesian or otherwise spends at least $150 on the site. Use the friend referral page here, and your friend will get a $25 discount using a Bertesian referral coupon code if they buy a Bartesian after using your link. You’ll also get 2,500 points on the Bartesian Rewards Club. Which is to say, you also get $25.

#Top #Bartesian #Discount #Codescoupons,shopping">

mwasimuddin125 0

Bartesian is the Keurig of cocktails. After trying several automatic cocktail makers on the market, it was the only cocktail maker I could see fitting into my normal routine. It works like any capsule-style device, but with booze. You fill the Bartesian’s glass bottles with your liquor of choice, make sure there’s water in the reservoir, plop in a cocktail capsule (these typically cost $2-3), choose your drink strength, press “mix,” and then a drink comes out. (If you’ve got kids, the Bartesian Professional version comes with a lock that will stymie curious fingers.)
Do you need a Bartesian to make cocktails? Of course you don’t. You can dump tequila into sour mix anytime and call it a margarita. But perhaps you’d like to make an espresso martini, a blackberry margarita, and also a Long Island Iced Tea? The Bartesian is a sort of shortcut to a home bar, without having to store all the mixers—and a bit of a novelty. It will be fun, and silly, and the drinks are kind of fine in a Spring Break way: strong and sweet and with sometimes fun flavors. Don’t expect sophistication. Expect a bit of a party trick, the sort of thing that makes a summer a little more fun.
You’ll, of course, want a Bartesian coupon to make that fun more accessible. Luckily, the current Bartesian discount codes are good for up to 35% off.

Save up to 35% With a Bartesian Cocktail Subscription

Save 15% (Or More) When You Purchase a Cocktail Bundle

Bartesian Rewards Club: Get More for Your Buck

Earn 2,500 Points and Give $25 When You Refer a Friend

#Top #Bartesian #Discount #Codescoupons,shopping">Top Bartesian Discount Codes: 35% Off

You’ll, of course, want a Bartesian coupon to make that fun more accessible. Luckily, the current Bartesian discount codes are good for up to 35% off.

Save up to 35% With a Bartesian Cocktail Subscription

Save 15% (Or More) When You Purchase a Cocktail Bundle

Bartesian Rewards Club: Get More for Your Buck

Earn 2,500 Points and Give $25 When You Refer a Friend

#Top #Bartesian #Discount #Codescoupons,shopping

Welcome to your guide to Pips, the latest game in the New York Times catalogue.

Released in August 2025, Pips puts a unique spin on dominoes, creating a fun single-player experience that could become your next daily gaming habit.

Currently, if you’re stuck, the game only offers to reveal the entire puzzle, forcing you to move on to the next difficulty level and start over. However, we have you covered! Below are piecemeal answers that will serve as hints so that you can find your way through each difficulty level.

How to play Pips

If you’ve ever played dominoes, you’ll have a passing familiarity with how Pips is played. As we’ve shared in our previous hints stories for Pips, the tiles, like dominoes, are placed vertically or horizontally and connect with each other. The main difference between a traditional game of dominoes and Pips is the color-coded conditions you have to address. The touching tiles don’t necessarily have to match.

The conditions you have to meet are specific to the color-coded spaces. For example, if it provides a single number, every side of a tile in that space must add up to the number provided. It is possible — and common — for only half a tile to be within a color-coded space.

Here are common examples you’ll run into across the difficulty levels:

Number: All the pips in this space must add up to the number.
Equal: Every domino half in this space must be the same number of pips.
Not Equal: Every domino half in this space must have a completely different number of pips.
Less than: Every domino half in this space must add up to less than the number.
Greater than: Every domino half in this space must add up to more than the number.

If an area does not have any color coding, it means there are no conditions on the portions of dominoes within those spaces.

Easy difficulty hints, answers for May 29 Pips

Less Than (2): Everything in this space must be less than 2. The answer is 0-6, placed horizontally; 0-5, placed vertically.

Equal (6): Everything in this space must be equal to 6. The answer is 0-6, placed horizontally; 6-2, placed horizontally.

Greater Than (2): Everything in this space must be greater than 2. The answer is 6-2, placed horizontally; 1-5, placed vertically.

Number (20): Everything in this space must add up to 20. The answer is 0-5, placed vertically; 5-5, placed horizontally; 1-5, placed vertically.

Medium difficulty hints, answers for May 29 Pips

Equal (0): Everything in this purple space must be equal to 0. The answer is 0-0, placed horizontally.

Equal (0): Everything in this red space must be equal to 0. The answer is 5-0, placed horizontally; 0-6, placed horizontally.

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Equal (6): Everything in this space must be equal to 6. The answer is 0-6, placed horizontally; 6-1, placed horizontally.

Number (3): Everything in this space must add up to 3. The answer is 6-1, placed horizontally; 2-0, placed vertically.

Number (4): Everything in this space must add up to 4. The answer is 0-1, placed vertically; 3-2, placed vertically.

Greater Than (0): Everything in this space must be greater than 0. The answer is 3-2, placed vertically.

Hard difficulty hints, answers for May 29 Pips

Less Than (6): Everything in this space must be less than 6. The answer is 0-1, palced horizontally.

Number (2): Everything in this space must add up to 2. The answer is 2-0, placed horizontally.

Less Than (2): Everything in this space must be less than 2. The answer is 2-0, placed horizontally; 0-5, placed vertically.

Number (10): Everything in this space must add up to 10. The answer is 5-5, placed vertically.

Number (10): Everything in this space must add up to 10. The answer is 0-5, placed vertically; 5-3, placed vertically.

Number (3): Everything in this space must add up to 3. The answer is 3-2, placed vertically.

Equal (1): Everything in this space must be equal to 1. The answer is 0-1, placed horizontally; 1-3, placed horizontally; 1-1, placed vertically; 1-4, placed vertically.

Equal (3): Everything in this space must be equal to 3. The answer is 1-3, placed horizontally; 3-3, placed vertically; 3-0, placed vertically; 5-3, placed vertically.

Number (6): Everything in this space must add up to 6. The answer is 3-0, placed vertically; 6-2, placed vertically.

Number (2): Everything in this space must add up to 2. The answer is 3-2, placed vertically; 0-4, placed vertically.

Equal (4): Everything in this space must be equal to 4. The answer is 0-4, placed vertically; 1-4, placed vertically; 4-2, placed horizontally.

Equal (2): Everything in this space must be equal to 2. The answer is 4-2, placed horizontally; 2-2, placed horizontally; 6-2, placed vertically.

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

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mwasimuddin125 0

Welcome to your guide to Pips, the latest game in the New York Times catalogue.
Released in August 2025, Pips puts a unique spin on dominoes, creating a fun single-player experience that could become your next daily gaming habit.
Currently, if you’re stuck, the game only offers to reveal the entire puzzle, forcing you to move on to the next difficulty level and start over. However, we have you covered! Below are piecemeal answers that will serve as hints so that you can find your way through each difficulty level.

How to play Pips

Here are common examples you’ll run into across the difficulty levels:

Number: All the pips in this space must add up to the number.
Equal: Every domino half in this space must be the same number of pips.
Not Equal: Every domino half in this space must have a completely different number of pips.
Less than: Every domino half in this space must add up to less than the number.
Greater than: Every domino half in this space must add up to more than the number.