These New Smart Glasses From Ex-OnePlus Engineers Have a Hidden Cost
Lots of smart glasses have AI bots inside them now. The one in L’Atitude 52°N’s glasses is called Goya, named after Francisco Goya, the famous Spanish artist who painted renowned masterpieces of romanticism.
CEO and founder Gary Chen, who has worked on wearable devices for companies like Oppo, OnePlus, and HTC, says his company’s glasses are focused on travelers, with AI features that act like a tour guide and talk about all the paintings in famous museums.
“Basically, you can say, ‘Hey, Goya, what is the story about Mona Lisa?’” Chen says. “You can ask anything and, with your permission, they will take a photo to analyze what’s in front of you.”
I ask if you could quiz it about perhaps the most famous Goya painting, the terrifying, Gothic horror-esque image of Saturn devouring his own son.
“Yes, yes,” Chen says, “It can also give you some recommendations about restaurants.”
Berlin-based L’Atitude 52°N is a new player in the smart glasses space, selling its first pairs on Kickstarter in September 2025, where the campaign surpassed its funding goal and raised more than $400,000. There have been some bumps since then, as shipments were delayed from an originally announced release date in February 2026, and one model in development was scrapped outright. Now, L’Atitude 52°N has announced an official release date for its smart glasses.
Preorders for one model, called Berlin, start on May 19. The glasses actually go on sale on May 26. This might be a disappointment for Kickstarter backers, as the most recent official update from the campaign came in March and said shipping would begin on April 15 for Berlin units and June 7 for the second model, called Milan. L’Atitude 52°N still hasn’t set an official launch date for the Milan, except to say that it will be “arriving in the second quarter of 2026.”
The Berlin glasses cost $399. Add another $50 for the photochromatic lenses. There is one very big catch: The AI features enabled on the device will only work for 12 months, which L’Atitude 52°N calls an “AI feature trial.” After that, customers have to pay for a subscription service, or will be limited to the base features, like playing music and capturing media.
How much will that subscription service cost? Chen says he doesn’t know.
Lots of smart glasses have AI bots inside them now. The one in L’Atitude 52°N’s glasses is called Goya, named after Francisco Goya, the famous Spanish artist who painted renowned masterpieces of romanticism.
CEO and founder Gary Chen, who has worked on wearable devices for companies like Oppo, OnePlus, and HTC, says his company’s glasses are focused on travelers, with AI features that act like a tour guide and talk about all the paintings in famous museums.
“Basically, you can say, ‘Hey, Goya, what is the story about Mona Lisa?’” Chen says. “You can ask anything and, with your permission, they will take a photo to analyze what’s in front of you.”
I ask if you could quiz it about perhaps the most famous Goya painting, the terrifying, Gothic horror-esque image of Saturn devouring his own son.
“Yes, yes,” Chen says, “It can also give you some recommendations about restaurants.”
Berlin-based L’Atitude 52°N is a new player in the smart glasses space, selling its first pairs on Kickstarter in September 2025, where the campaign surpassed its funding goal and raised more than $400,000. There have been some bumps since then, as shipments were delayed from an originally announced release date in February 2026, and one model in development was scrapped outright. Now, L’Atitude 52°N has announced an official release date for its smart glasses.
Preorders for one model, called Berlin, start on May 19. The glasses actually go on sale on May 26. This might be a disappointment for Kickstarter backers, as the most recent official update from the campaign came in March and said shipping would begin on April 15 for Berlin units and June 7 for the second model, called Milan. L’Atitude 52°N still hasn’t set an official launch date for the Milan, except to say that it will be “arriving in the second quarter of 2026.”
The Berlin glasses cost $399. Add another $50 for the photochromatic lenses. There is one very big catch: The AI features enabled on the device will only work for 12 months, which L’Atitude 52°N calls an “AI feature trial.” After that, customers have to pay for a subscription service, or will be limited to the base features, like playing music and capturing media.
How much will that subscription service cost? Chen says he doesn’t know.
Source link
#Smart #Glasses #ExOnePlus #Engineers #Hidden #Cost
In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.
In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.
#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation">Zoox can now charge for rides in its steering-wheel-free robotaxis
Zoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.
In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.
Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.
And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.
Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.
Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.
In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.
When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.
“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”
Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.
And he used the high-profile incident from last week as proof of his warnings.
“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”
The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.
Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.
“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.
He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”
As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.
Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.
And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.
Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.
Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.
In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.
When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.
“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”
Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.
And he used the high-profile incident from last week as proof of his warnings.
“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”
The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.
Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.
“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.
He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”
As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.
Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Microsoft #openly #competing #OpenAI #Anthropic #TechCrunchMicrosoft">Microsoft is openly competing with OpenAI, Anthropic more than ever | TechCrunch
Microsoft is in a unique position as AI overtakes the tech industry. It’s one of the world’s largest cloud providers and software-as-a-service companies, while also holding valuable stakes in the two biggest AI labs, OpenAI and Anthropic.
Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.
And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.
Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.
Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.
In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.
When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.
“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”
Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.
And he used the high-profile incident from last week as proof of his warnings.
“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”
The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.
Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.
“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.
He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”
As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.
Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Before you trade CS2 skins, you need to think about what is most important to you. Do you want quick swaps, many different skins to pick from, an easy way to trade, or steady swap values? Knowing what you want makes it easier to choose the right platform. This is better than picking something just because a lot of people use it. SkinsMonkey lets you trade, buy, and sell using an automated trading system for Steam accounts that meet the right rules.
Platform Comparison at a Glance
Platform
Best Strength
Trading Flexibility
Learning Curve
Best Suited For
SkinsMonkey
Balanced all-around experience
Excellent
Easy
Beginners & experienced traders
CS.MONEY
Extensive marketplace
Very Good
Moderate
Collectors
Tradeit.gg
Quick exchanges
Good
Easy
Frequent traders
Swap.gg
Simple trading process
Good
Easy
Casual users
Which Type of Trader Are You?
Your trading habits can change which platform feels right for you. People who update the stuff they have need sites with easy navigation and smooth trading. Those new to trading may like a site that makes everything simple. Collectors want to use sites that let them check out several skins without trouble. Picking a platform that fits your skill level makes trading feel more good for all.
SkinsMonkey
SkinsMonkey gives you a good way to trade. The workflow is easy to use. You get many exchange choices. It works well for people who need a platform that is reliable. The site does not make things hard for you.
CS.MONEY
CS.MONEY is good for people who like to see many skins before they choose one. It gives a marketplace feel that fits both collectors and people who trade a lot.
Tradeit.gg
Tradeit.gg is made for people who want fast and easy skin exchanges. Its simple setup helps you finish trades quickly and without trouble.
Swap.gg
Swap.gg gives users an easy way to trade skins, even if they do it now and then. The site has a clean look, so you can find what you want fast. It is simple to use and does not take much time to get started.
Questions to Ask Before Choosing a Platform
Instead of picking the first trading site you see, take some time and ask yourself some useful questions. Does the platform make the trading process easy to understand? Is there help from customer support when you need it? Can you compare your trading options without any trouble? If you answer these questions, you will find a platform that fits the way you want to trade in the long run, not just for your next deal.
Why SkinsMonkey Is a Strong All-Round Choice
Every platform comes with its own good points, but SkinsMonkey is different because it does well in many things, not just one. It has an easy-to-use look, many ways to trade, and a fast exchange process. This makes it right for both new and experienced traders. With this balanced style, you can feel good about trading and have a smooth time every step of the way.
Conclusion
The best platform to use will be based on how you like to trade, what you want, and what you hope to get out of it. If you want to trade cs2 skins, you should look at how each site works, how easy it is to use, and what you get from it. This can help you make a good pick. From the choices we talked about, SkinsMonkey gives a good all-around option for people who want a safe and smooth way to trade skins.
Before you trade CS2 skins, you need to think about what is most important to you. Do you want quick swaps, many different skins to pick from, an easy way to trade, or steady swap values? Knowing what you want makes it easier to choose the right platform. This is better than picking something just because a lot of people use it. SkinsMonkey lets you trade, buy, and sell using an automated trading system for Steam accounts that meet the right rules.
Platform Comparison at a Glance
Platform
Best Strength
Trading Flexibility
Learning Curve
Best Suited For
SkinsMonkey
Balanced all-around experience
Excellent
Easy
Beginners & experienced traders
CS.MONEY
Extensive marketplace
Very Good
Moderate
Collectors
Tradeit.gg
Quick exchanges
Good
Easy
Frequent traders
Swap.gg
Simple trading process
Good
Easy
Casual users
Which Type of Trader Are You?
Your trading habits can change which platform feels right for you. People who update the stuff they have need sites with easy navigation and smooth trading. Those new to trading may like a site that makes everything simple. Collectors want to use sites that let them check out several skins without trouble. Picking a platform that fits your skill level makes trading feel more good for all.
SkinsMonkey
SkinsMonkey gives you a good way to trade. The workflow is easy to use. You get many exchange choices. It works well for people who need a platform that is reliable. The site does not make things hard for you.
CS.MONEY
CS.MONEY is good for people who like to see many skins before they choose one. It gives a marketplace feel that fits both collectors and people who trade a lot.
Tradeit.gg
Tradeit.gg is made for people who want fast and easy skin exchanges. Its simple setup helps you finish trades quickly and without trouble.
Swap.gg
Swap.gg gives users an easy way to trade skins, even if they do it now and then. The site has a clean look, so you can find what you want fast. It is simple to use and does not take much time to get started.
Questions to Ask Before Choosing a Platform
Instead of picking the first trading site you see, take some time and ask yourself some useful questions. Does the platform make the trading process easy to understand? Is there help from customer support when you need it? Can you compare your trading options without any trouble? If you answer these questions, you will find a platform that fits the way you want to trade in the long run, not just for your next deal.
Why SkinsMonkey Is a Strong All-Round Choice
Every platform comes with its own good points, but SkinsMonkey is different because it does well in many things, not just one. It has an easy-to-use look, many ways to trade, and a fast exchange process. This makes it right for both new and experienced traders. With this balanced style, you can feel good about trading and have a smooth time every step of the way.
Conclusion
The best platform to use will be based on how you like to trade, what you want, and what you hope to get out of it. If you want to trade cs2 skins, you should look at how each site works, how easy it is to use, and what you get from it. This can help you make a good pick. From the choices we talked about, SkinsMonkey gives a good all-around option for people who want a safe and smooth way to trade skins.
#Comparing #Top #Skin #Trading #Platforms">Comparing the Top Skin Trading Platforms: Which One Is Right for You?
Every CS2 player has their own trade goals. Some people want to get better skins, while others want a quick and easy swap. There are a lot of trading sites out there, so picking the best one can be hard. It is good to look at how a platform does in the things that matter, like flexibility, user experience, and who it helps the most. This guide talks about four top platforms. It will help you see which fits your way of trading.
Start by Understanding Your Trading Needs
Before you trade CS2 skins, you need to think about what is most important to you. Do you want quick swaps, many different skins to pick from, an easy way to trade, or steady swap values? Knowing what you want makes it easier to choose the right platform. This is better than picking something just because a lot of people use it. SkinsMonkey lets you trade, buy, and sell using an automated trading system for Steam accounts that meet the right rules.
Platform Comparison at a Glance
Platform
Best Strength
Trading Flexibility
Learning Curve
Best Suited For
SkinsMonkey
Balanced all-around experience
Excellent
Easy
Beginners & experienced traders
CS.MONEY
Extensive marketplace
Very Good
Moderate
Collectors
Tradeit.gg
Quick exchanges
Good
Easy
Frequent traders
Swap.gg
Simple trading process
Good
Easy
Casual users
Which Type of Trader Are You?
Your trading habits can change which platform feels right for you. People who update the stuff they have need sites with easy navigation and smooth trading. Those new to trading may like a site that makes everything simple. Collectors want to use sites that let them check out several skins without trouble. Picking a platform that fits your skill level makes trading feel more good for all.
SkinsMonkey
SkinsMonkey gives you a good way to trade. The workflow is easy to use. You get many exchange choices. It works well for people who need a platform that is reliable. The site does not make things hard for you.
CS.MONEY
CS.MONEY is good for people who like to see many skins before they choose one. It gives a marketplace feel that fits both collectors and people who trade a lot.
Tradeit.gg
Tradeit.gg is made for people who want fast and easy skin exchanges. Its simple setup helps you finish trades quickly and without trouble.
Swap.gg
Swap.gg gives users an easy way to trade skins, even if they do it now and then. The site has a clean look, so you can find what you want fast. It is simple to use and does not take much time to get started.
Questions to Ask Before Choosing a Platform
Instead of picking the first trading site you see, take some time and ask yourself some useful questions. Does the platform make the trading process easy to understand? Is there help from customer support when you need it? Can you compare your trading options without any trouble? If you answer these questions, you will find a platform that fits the way you want to trade in the long run, not just for your next deal.
Why SkinsMonkey Is a Strong All-Round Choice
Every platform comes with its own good points, but SkinsMonkey is different because it does well in many things, not just one. It has an easy-to-use look, many ways to trade, and a fast exchange process. This makes it right for both new and experienced traders. With this balanced style, you can feel good about trading and have a smooth time every step of the way.
Conclusion
The best platform to use will be based on how you like to trade, what you want, and what you hope to get out of it. If you want to trade cs2 skins, you should look at how each site works, how easy it is to use, and what you get from it. This can help you make a good pick. From the choices we talked about, SkinsMonkey gives a good all-around option for people who want a safe and smooth way to trade skins.
Post Comment