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Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one area (Thinking Machines Lab)

Thinking Machines Lab : Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one area   —  Try on Tinker Model card Hugging Face  —  Our mission is to build AI that extends human will and judgment. from Techmeme https://ift.tt/XeDmq9l via IFTTT
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PrismML launches Bonsai 27B, a model based on Qwen3.6 27B that it says runs natively on Apple devices via MLX; its CEO says Apple is evaluating the tech (MacKenzie Sigalos/CNBC)

MacKenzie Sigalos / CNBC : PrismML launches Bonsai 27B, a model based on Qwen3.6 27B that it says runs natively on Apple devices via MLX; its CEO says Apple is evaluating the tech   —  Apple is in talks with a small Silicon Valley company that says it can shrink powerful artificial intelligence models enough to run directly … from Techmeme https://ift.tt/uSDCPrm via IFTTT
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A look at Founders Fund-backed State Affairs, which raised $70M and uses AI trained on reporting by its 76 staffers to power a Bloomberg Terminal-like product (Washington Post)

Washington Post : A look at Founders Fund-backed State Affairs, which raised $70M and uses AI trained on reporting by its 76 staffers to power a Bloomberg Terminal-like product   —  State Affairs combines media and technology at a time when tensions between the two industries are at a fever pitch.  —  Summary from Techmeme https://ift.tt/PatYjRF via IFTTT
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Apple releases the first public betas of iOS 27, iPadOS 27, macOS 27 Golden Gate, watchOS 27, and tvOS 27, marking the public debut of the new Siri AI (Will Shanklin/Engadget)

Will Shanklin / Engadget : Apple releases the first public betas of iOS 27, iPadOS 27, macOS 27 Golden Gate, watchOS 27, and tvOS 27, marking the public debut of the new Siri AI   —  Try the new Siri AI and system-wide performance improvements.  —  Adventurous early adopters, your moment has arrived … from Techmeme https://ift.tt/D0A7ESc via IFTTT
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Microsoft announces a Windows 11 search overhaul that prioritizes local results, removes promotional web content, and more, rolling out to Windows Insiders (Zac Bowden/Windows Central)

Zac Bowden / Windows Central : Microsoft announces a Windows 11 search overhaul that prioritizes local results, removes promotional web content, and more, rolling out to Windows Insiders   —  Windows 11's search user experience is getting a big update, with Microsoft moving to prioritize local results, remove promotional content, and much more. from Techmeme https://ift.tt/gSFU7bX via IFTTT
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Q&A with Xinzhou Wu, head of automotive at Nvidia, on Nvidia's chips and AI models for autonomous driving, lidar's usefulness for Level 4 autonomy, and more (Nilay Patel/The Verge)

Nilay Patel / The Verge : Q&A with Xinzhou Wu, head of automotive at Nvidia, on Nvidia's chips and AI models for autonomous driving, lidar's usefulness for Level 4 autonomy, and more   —  Xinzhou Wu on autonomy, Chinese cars, and if we really need lidar  —  Today, I'm talking with Xinzhou Wu, who is the head of automotive at Nvidia. from Techmeme https://ift.tt/IWePLvE via IFTTT
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What Anthropic’s latest AI discovery does—and doesn’t—show

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first,  sign up here . Anthropic—currently the world’s most valuable AI company, with a nearly $1 trillion valuation—has a reputation for publishing strange and heady research. It’s looking into whether AI models can feel pain , for example, and will sometimes cut off chatbot conversations if it suspects users are “abusing” the model.  One niche that Anthropic spends more time and money on than other AI companies is called mechanistic interpretability, which means looking inside the complex math of an AI model to learn why it comes up with one particular output and not another. It’s complicated stuff; there are millions of data points that might contribute to any result, and wading through them can look more like word salad than anything useful. It’s also controversial. Describing AI models with terms borrowed from psychology and neuroscience can make their...
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