The Inverse Care Law. The people who need medical care the most tend to get the least access.
It will take deliberate and extensive efforts for medical AI not to exacerbate health inequities, by @ejosipcar We've seen some examples where AI reduced inequities and need to build
LLMS
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Inverse Care Law: Medical AI risks exacerbating health inequities
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Deep passage on physics: LLMs any world, humans our world, and Chomsky
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this bit on physics is deep and actually resonates with the fact that LLMs are equally comfortable learning any world, whereas humans are built for our world.
— Gary Marcus (@GaryMarcus) 25 mai 2026
See also Chomsky’s 2023 conversation with me Web Summit on YouTube. https://t.co/56dkrTORf5This passage on physics is profound and really resonates with the fact that LLMs are just as comfortable learning any world, while humans are designed for our world. See also the conversation of Chomsky with me in 2023 at Web Summit on
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10 Powerful Prompts to Enhance LLM Intelligence
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You can make Claude, ChatGPT, and Gemini improve their intelligence 20 times You just need to add one phrase These are 10 'decisive' and powerful phrases that nobody is using: [Save them, use them when you need them]
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Claude Opus Input Token Pricing Calculation
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Si c’était 230M de tokens input via Claude Opus ça coûterait dans les 1300 dollars.
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llama.cpp MTP Support Boosts Local Model Inference Speed
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llama.cpp with MTP support makes local models fast enough to use as daily drivers 🚀
— clem 🤗 (@ClementDelangue) 24 mai 2026
Qwen3.6-27B dense generation below on A10G: From 25 tok/st to 45 tok/s (+78%)! pic.twitter.com/rLjBVa3Yzhllama.cpp with MTP support makes local models fast enough to use as daily drivers Qwen3.6-27B dense generation below on A10G: From 25 tok/st to 45 tok/s (+78%)!
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DeepSeek’s unconventional MoE strategy for long-term success
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A fascinating deep dive into DeepSeek reveals a brilliantly unconventional strategy. They are completely ignoring standard industry trends. Instead of fighting for short-term multimodal profits, they are looking ahead. They use radical frameworks like MoE to absolutely crush
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NVIDIA Publishes Skills for AI Agents: Video Analysis, Voice, LLM Training, and Acceleration
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NVIDIA has just officially published the Skills they use for their AI agents. Right now they have Skills for:
→ analyzing and summarizing videos automatically
→ creating real-time voice agents
→ training and improving LLMs
→ accelerating models to make them run much faster -
Hardware Basics for Running Different Sized Models
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We start with the basics of what hardware is needed to run different sized models
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LLMs Capture Tacit Knowledge in Organizations
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We have an understanding that standard management approaches do not capture "tacit knowledge" / process knowledge and that this is frequently encoded in e.g. network graphs within firms, individuals' own heads, etc without being recorded. LLMs: Recording. You're welcome.