Scaling laws help AI developers predict the performance of large language models, but they require expensive compute power. Stanford scholars developed a new method that reduces training demands:
MACHINE LEARNING
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Switched model for website rebuild, saving 11x token costs
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Fuck Fable I have just swapped the model I am using for rebuilding the godofprompt website saving 11x on the token costs!
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Fast inference: more context, tools, validation, and controls
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Faster inference offers cybersecurity products much more than just faster responses. It allows them to integrate more context, tool calls, validation, and policy controls within their latency budget. More details in our blog.
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Introducing GLM-5.2 for Understanding Research Articles
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Introducing GLM-5.2 for understanding research papers 🚀
— alphaXiv (@askalphaxiv) 16 juin 2026
Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references pic.twitter.com/84LDzhLjhhHighlight any section of an article to ask questions and '@' other articles for quick context, comparisons, and benchmark references.
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Weights of MaineCoon model on Hugging Face
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weights on @huggingface
:
>
https://
huggingface.co/catnip-ai-tech
/MaineCoon
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MaineCoon Technical Report Released on GitHub
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paper >
https://
github.com/catnip-ai-tech
/MaineCoon/blob/main/MaineCoon_Technical_Report.pdf
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GLM-5.2 open-source model matches Claude Opus 4.8
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@ZAI_ORG JUST DROPPED GLM-5.2, AND IT IS PUNCHING RIGHT AT THE LEVEL OF CLAUDE OPUS 4.8 The kicker? It’s a 753B parameter model with a true 1M-token context, released fully open-source under an MIT license What makes this release technically interesting: → IndexShare
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GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining
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Correction: GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining at 512 GPU scale. (Ref: results 6.0-0022 and 6.0-0101)
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Meetup: ask Codex for startups, finances, groceries, games
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went to a meetup and people asked what should I be doing that I’m not doing rn just ask things want to build a startup – ask codex
want to sort your finances – asl codex want to order groceries – yes ask codex
want to build a game – indeed you should ask codex want to get a -
Empirical AI viewed as intellectual regression by a researcher
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For a researcher trained in the school of abstract rigor, seeing AI become a purely empirical science where one tweaks hyperparameters like alchemists instead of proving theorems resembles an intellectual regression.