The key distinction: More test-time compute is not automatically useful. It becomes useful when the model has learned an internal landscape where extra iterations move the latent state toward solution-aligned attractors rather than spurious ones. That is why the convergence
LLMS
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New paper introduces Equilibrium Reasoners for latent AI reasoning
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The next clue in AI reasoning: answers may be attractors. A new paper from Benhao Huang, Zhengyang Geng, and Zico Kolter introduces Equilibrium Reasoners (EqR) — a sharp mechanistic view of test-time scaling in latent reasoning models. The core idea is simple, but deep:
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Test-Time Compute and Solution-Aligned Attractors
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The key distinction: More test-time compute is not automatically useful. It becomes useful when the model has learned an internal landscape where extra iterations move the latent state toward solution-aligned attractors rather than spurious ones. That is why the convergence
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OpenAI and Anthropic’s contrasting AI launches in 2026 cinema
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OpenAI: carefully rolls out GPT-5.5-Cyber through Trusted Access for verified defenders Anthropic: “Claude Mythos is too powerful for public release” Also Anthropic: accidentally shows Mythos in the UI and immediately runs out of capacity 2026 AI launches are absolut cinema.
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Advanced prompt success: switched steering wheel, added London bus ad and specified London Eye.
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I tried a more advanced prompt, asking it to switch the steering wheel side, and adding an ad to the London Bus. I had to be specific about the London Eye in this one.
— fofr (@fofrAI) 23 mai 2026
Very impressed the text on the moving bus was readable. https://t.co/zB2uLNM0jy pic.twitter.com/Q3kMyDBf5HI tried a more advanced prompt, asking it to switch the steering wheel side, and adding an ad to the London Bus. I had to be specific about the London Eye in this one. Very impressed the text on the moving bus was readable.
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Advanced prompt: switched steering wheel, added London bus ad, London Eye specified
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I tried a more advanced prompt, asking it to switch the steering wheel side, and adding an ad to the London Bus. I had to be specific about the London Eye in this one.
— fofr (@fofrAI) 23 mai 2026
Very impressed the text on the moving bus was readable. https://t.co/zB2uLNM0jy pic.twitter.com/Q3kMyDBf5HI tried a more advanced prompt, asking it to switch the steering wheel side, and adding an ad to the London Bus. I had to be specific about the London Eye in this one. Very impressed the text on the moving bus was readable.
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Instruct codex to maintain a scratch-log for tracking refactor decisions
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Tell codex to maintain a scratch-log while it works on bigger refactors with decisions it had to make, tradeoffs, review fixes, so later on you can read through which tradeoffs the agent made, what you forgot to specify etc.
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DeepSeek V4 Pro disrupts Western AI market pricing
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Lisez bien. L’IA chinoise #DeepSeek a tué le business occidental de l’IA américaine concurrente en imposant un niveau de prix chinois sur le token, véritablement indécent. Le modèle V4 PRO est méchamment performant.
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Open-source AI wins through community and knowledge sharing
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I said Buy a GPU because I wanted as many indie researchers & devs working on RTX 3090s for the community (e.g. @pupposandro
, @no_stp_on_snek
) I started writing greentext posts on LLMs because I wanted to get people curious How Opensource AI wins? Community & knowledge sharing -
Hopes for speed, context, vibe; Claude’s better taste but not all
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I hope for:
Speed
Context Vibe, tone. Claude still has a better taste Though I don’t think we’ll get all of it