Narrative violation: according to a study by @Stanford, local models can accurately answer 71.3% of real-world chat and reasoning queries, compared to 23.2% in 2023. Obviously, at a fraction of the cost and energy consumption of cutting-edge APIs.
LLMS
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Apple Intelligence built on Apple Foundation and Gemini models
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WWDC 🔥: New Apple Intelligence is built on top of Apple Foundation and Gemini models!
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 juin 2026
Let's see what's inside 👀 https://t.co/X7sKyiOfMP pic.twitter.com/mncZxVQFGQWWDC : New Apple Intelligence is built on top of Apple Foundation and Gemini models! Let's see what's inside
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New Apple Intelligence built on Apple Foundation and Gemini
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New Apple Intelligence is built on top of Apple Foundation and Gemini models!
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Agentic features come to NotebookLM with Gemini 3.5
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The agentic features that we have been enjoying for a year and a half in ChatGPT, Claude and Gemini now finally arrive at NotebookLM. It will be able to run code in a virtual machine, work with sources, use skills, etc. That and the use of Gemini 3.5, now in NBLM 🙂
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NF-CoT: Latent reasoning with normalizing flows for LLMs
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Latent reasoning with normalizing flows NF-CoT makes latent reasoning natural for LLMs. Thus, instead of forcing each intermediate thought to go through verbose CoT text, it learns compact continuous thoughts with a normalizing flow inside the
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Give Codex a clear outcome and let it keep going until achieved
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codex tip: give codex a clear outcome to work towards tell codex what you want to achieve, how it can verify it got there, then let it keep going until it does for example: “make the build faster” is quite vague “measure the production build on vercel, keep going until it’s
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User yells at Claude, finds GPT boring but effective
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Mostly yelled at Claude. GPT is boring but delivers.
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NotebookLM adds agentic reasoning and Excel/images for Ultra subscribers
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GOOGLE : @NotebookLM now supports advanced agentic reasoning in chat and new output formats, including Excel sheets and images. Only Ultra subscribers
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Gary Marcus argues transformers alone insufficient for AGI
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No. Not by itself. Sergey Brin is absolutely wrong. Transformers by themselves are not “sufficient” for AGI.
— Gary Marcus (@GaryMarcus) 8 juin 2026
Nobody uses transformers on their own anymore. Everybody is supplementing them tools and harnesses and other aspects of architecture from (neuro)symbolic AI.… https://t.co/zAfdPwJVH3No. Not by itself. Sergey Brin is absolutely wrong. Transformers by themselves are not “sufficient” for AGI. Nobody uses transformers on their own anymore. Everybody is supplementing them tools and harnesses and other aspects of architecture from (neuro)symbolic AI.
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Gary Marcus challenges Hinton on radiologists, memorization, consciousness
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I will start to take Geoff Hinton seriously again (I used to and don’t anymore) when
— Gary Marcus (@GaryMarcus) 8 juin 2026
– radiologists actually start losing jobs
– he acknowledges that LLMs do sometimes effectively memorize things
– he stops over-attributing consciousness to algorithms or at least addresses the… https://t.co/5bKA4zJlTrI will start to take Geoff Hinton seriously again (I used to and don’t anymore) when – radiologists actually start losing jobs
– he acknowledges that LLMs do sometimes effectively memorize things
– he stops over-attributing consciousness to algorithms or at least addresses the