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Windows ✨Co-Pilot This is the biggest thing in AI this year. All windows machines will have an AI agent at the OS level. It's native. Omni-present. All of a sudden everything on your local device gets accessible by the AI agent. This is clearly a paradigm shift. Time to... show more

Linus ✦ Ekenstam

239,094 subscribers

482,712 次观看 • 3 年前 •via X (Twitter)

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11 条评论

Linus Ekenstam 的头像

Linus Ekenstam3 年前

Follow me @linusekenstam for more fun tweets about AI.

Linus Ekenstam 的头像

Linus Ekenstam3 年前

If you are building AI things, and want me to look at it, please submit your product to me here:

Linus Ekenstam 的头像

Linus Ekenstam3 年前

Ohh and read @minchoi full thread on MS Build here

Linus Ekenstam 的头像

Linus Ekenstam3 年前

Oh and if you want to stay up to date with AI and tech, I write here:

Coral AI News 的头像

Coral AI News2 年前

Coral AI is the most powerful AI for documents. See the difference yourself:

Mckay Wrigley 的头像

Mckay Wrigley3 年前

Crazy how fast we got to this point. Things are accelerating!

Linus Ekenstam 的头像

Linus Ekenstam3 年前

Right, and it will just continue.

George Siosi Samuels 的头像

George Siosi Samuels3 年前

Being first isn’t always a winning strategy long-term. However, credit to Microsoft for “paving the way.” Look forward to what Apple has up its sleeve (if anything). Going to be looking specifically at how they make use of their chips.

Linus Ekenstam 的头像

Linus Ekenstam3 年前

The Neural Engine on the M2 can process up to 15.8 trillion operations per second... So yes, do really looking forward to see what we will get from Apple in 2 weeks.

Min Choi 的头像

Min Choi3 年前

This AI race is insane 🤯 never seen these companies move so fast to adopt.

Linus Ekenstam 的头像

Linus Ekenstam3 年前

Agreed, it's just trail blazing out there, and right now Microsoft is king.

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18,006 次观看 • 1 个月前

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After taking some time off post-Rapid, I'm excited to share what I’ve been up to since: Datawizz AI! We’ve raised a $12.5M Seed led by Human Capital to make AI 10x cheaper, 2x more accurate and 15x faster by transitioning from LLMs to SLMs. AI is eating the world. But unit economics are eating AI. Looking at the fastest growing AI products, they all share two traits - growing fast, and painful inference bills. General-purpose LLMs are just too expensive to run. A big reason for that is we train LLMs to be good at everything - answer any question, be an expert on any topic. The big labs dub this "generalisation", but for real-world applications, it is unnecessary. In reality - many AI applications need models to be experts in one thing - and do that thing extremely well. Your coding model doesn’t need to memorize ancient recipes for Garum sauce. This is where Datawizz comes in - we sit between the AI applications and automatically create smaller (100x-1,000x) specialized models to handle specific aspects of your work. By focusing the model and combining industry-data in the distillation process - we end up with models that beat SOTA LLMs at a fraction of the cost. We created Datawizz to make AI specialized and scalable. We’re early in the journey, but have already been able to save companies 90%+ on their inference bill and speed up their apps by 10x. Excited to build better AI platforms? Join the Datawizz team (link in first comment)

Iddo Gino 🐙

21,932 次观看 • 11 个月前

David Sacks: The AI Regulatory Frenzy at the State Level is “Very Concerning” “Let me give you some stats on this.” “All 50 states have introduced AI bills in 2025.” “There's been over 1,000 bills in state legislatures.” “118 AI laws have already been passed across the 50 states.” “Everyone just seems to be motivated by the imperative to ‘do something’ on AI, even though no one's really sure what that something should be.” “And there's no real agreement on what all these AI regulations are supposed to do, or what the risks are, so they're just making things up.” “So you've got 50 different states each with their own reporting regime, which is going to be a trap for startups because they've all gotta figure this out about what they're supposed to report on, what the deadlines are, who to report to.” “And if you wanna see where this is going, look at Colorado.” “This has already been passed into law, SB 24-205, Consumer Protections for Artificial Intelligence. It bans something they call ‘algorithmic discrimination.’” “Algorithmic discrimination is defined as unlawful differential treatment or disparate impact based on protected characteristics. So things like age, race, sex, disability.” “If any of those factors drive an AI decision and it results in a disparate impact, then both the developer of the AI model and the deployer, which means the business that's using it, can be in violation of this law and they can be prosecuted by the Colorado Attorney General.” “The only way that I see for model developers to comply with this law, is to build in a new DEI layer into the models, to basically somehow prevent models from giving outputs that might have a disparate impact on protected groups.” “So we're back to Woke AI again, and I think that's the whole point.”

David Sacks: The AI Regulatory Frenzy at the State Level is “Very Concerning” “Let me give you some stats on this.” “All 50 states have introduced AI bills in 2025.” “There's been over 1,000 bills in state legislatures.” “118 AI laws have already been passed across the 50 states.” “Everyone just seems to be motivated by the imperative to ‘do something’ on AI, even though no one's really sure what that something should be.” “And there's no real agreement on what all these AI regulations are supposed to do, or what the risks are, so they're just making things up.” “So you've got 50 different states each with their own reporting regime, which is going to be a trap for startups because they've all gotta figure this out about what they're supposed to report on, what the deadlines are, who to report to.” “And if you wanna see where this is going, look at Colorado.” “This has already been passed into law, SB 24-205, Consumer Protections for Artificial Intelligence. It bans something they call ‘algorithmic discrimination.’” “Algorithmic discrimination is defined as unlawful differential treatment or disparate impact based on protected characteristics. So things like age, race, sex, disability.” “If any of those factors drive an AI decision and it results in a disparate impact, then both the developer of the AI model and the deployer, which means the business that's using it, can be in violation of this law and they can be prosecuted by the Colorado Attorney General.” “The only way that I see for model developers to comply with this law, is to build in a new DEI layer into the models, to basically somehow prevent models from giving outputs that might have a disparate impact on protected groups.” “So we're back to Woke AI again, and I think that's the whole point.”

The All-In Podcast

220,615 次观看 • 11 个月前