could someone vibe code a better Screen Studio please
@petergostev
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Astra AI chess model wins 5 straight against Opus
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Holy cow – Astra just won 5 games in a row against Opus, after losing a few first. Both of these are not valinna models, they had 200 games to 'learn' against Stockfish and Opus ended up with 360 Elo higher than Astra. …
https://ailearni
ngchess.ai-learning-chess.workers.dev/#/tournament -
Codex reaches 40m weekly active users, compute concerns
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Codex & Work reached 40m weekly active users – more or less on trend from the previous milestones. If this trend continues, they will reach c.70m by the end of the year and c.100m by the end of March '27. Hope they have more compute coming.
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AI model solves hundreds of problems humans couldn’t in 10 years
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I want to dwell on this a bit. Some of these problems were tackled by some of the smartest humans on the planet for maybe 10+ years and they couldn't solve them. Now a model worked for 3 hours per problem and solved 100s of them. Even assuming that ChatGPT Pro is ~10
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ChatGPT Pro usage and token consumption discussion
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They said that most problems were solved with the 3 hours of ChatGPT Pro of the new model, so I'm not sure that's even a billion tokens there
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Students’ ChatGPT math homework used by OpenAI to solve problems
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Can't believe so many students trusted ChatGPT with their maths homework, only for OpenAI to turn around and steal their work to solve 377 open maths problems
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ChatGPT Pro compute used to solve unsolved problems
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"On average, each result used three hours of ChatGPT Pro thinking compute with [the unreleased internal OpenAI] model." So these unsolved problems were solved in 3 hours each of next gen chatty pro? 💀
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LLMs used on Hadwiger–Nelson problem, lower bound moves to 6 or 7
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I probably spent 300 billion tokens on Hadwiger–Nelson problem (GPT-5.6 and Astra) and got absolutely nothing – and here it is, five-colours is no go, lower bound has moved to 6 or 7. Not a full solution yet, but it's a biggie.
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AI chess agents ASTRA and OPUS face off head to head
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After 200 games each – ASTRA is playing OPUS head to head! Opus ended up with a higher elo than Astra (1760 vs 1400), we are keeping the same agents that have all of their 'learning' accumulated and see if this helps playing head to head. Watch it here: …
https://ailearni
ngchess.ai-learning-chess.workers.dev/#/tournament -
Companies should use LLMs for recommendations, even 3B models
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Companies should really start using llms for recommendations, even a 3b model can do better than this