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GENERATIVE AI
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Generative AI and LLMs: Technologies and Tools Overview
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GPT-4 Vision: Image Processing in Large Language Models
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They've been using the image as raw input to the model since GPT-4 vision back in late 2023 – here's a decent explanation of how that kind of model works
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Modèles IA évoluent vite, il faut tout réinventer souvent
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this is pretty much the only way to build product in AI models move so fast, that you have to be willing to throw everything out every few months to take advantage of what's possible
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Scaling limitations in AI: experiments settle the debate
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integrity and intellectual honesty are vital. and experiments, at the cost of tens of billions, have settled it. scaling isn’t working, and that’s why Sam is saying what he is saying. and it confirms that my intuitions were correct i am sorry you missed all that context.
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OpenAI’s Culture of Risk-Taking and Continuous Innovation at Codex
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Working at OpenAI is fun because questioning everything and taking risks is part of the culture. Within Codex, the team asks itself how we could make it an order of magnitude better every few months and then sets most things aside to go and do it across the entire stack. Some examples were the Codex App and our first deployment of Cerebras inference with WebSockets. We are now well under way on the next bet and it’s making even our best engineers nervous as it’s at the edge of what’s possible today.
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Altman’s Architecture Claims Need Critical Examination
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Misleading summary. Should be deleted.
— Gary Marcus (@GaryMarcus) 15 mars 2026
Altman doesn’t say a (known) new architecture is coming; he says he anticipates one will come someday.
PS: I also think we need something radical and new. In fact that’s what I’ve been saying for the last decade.
Excess focus on… https://t.co/qww1bGjPbdMisleading summary. Should be deleted. Altman doesn’t say a (known) new architecture is coming; he says he anticipates one will come someday. PS: I also think we need something radical and new. In fact that’s what I’ve been saying for the last decade. Excess focus on
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Incredible Resource to Learn How LLMs Work and Evolved
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INCREDIBLE RESOURCE to learn how LLMs work and how they evolved overtime
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Top AI Papers Weekly: KARL, OpenDev, SkillNet, FlashAttention-4
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The Top AI Papers of the Week (March 9 – March 15) – KARL
– OpenDev
– SkillNet
– Memex(RL)
– AutoHarness
– FlashAttention-4
– The Spike, the Sparse, and the Sink Read on for more: -
New LLM Architecture Gallery Collecting All Figures in One Place
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I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place! https://
sebastianraschka.com/llm-architectu
re-gallery/
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Spotting When Claude Code Makes Poor Programming Choices
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What are the big tells you see when Claude Code is coping, or just making bad choices? One that stand out to me is when it calls something a "belt-and-suspenders" approach. This basically means it's got two overlapping mechanisms for the same thing, which is never what I want. Another is when it refers to an approach as "defensive". I find this is always the opposite of actual defensive programming. Defensive programming is about ensuring you're in exactly the state you think you are. Claude Code is always trying to continue through errors.