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@linkstream · channel · Tech · indexed since 2026-07-20
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Schema, a harness that has frontier models play like physicists: write each game’s mechanism as an executable program, test it against reality, and plan inside it. The name is inspired by Immanuel Kant: a schema is a rule of construction that bridges from abstract concept to concrete perception. https://schema-harness.github.io
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PSA: do tell your sysadmin: nginx CVE-2026-42533 — every release since 2011 affected, pre-auth RCE exploit with ASLR bypass available 🤯
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daily PSA: DISABLE GIT AUTOSYNC IN YOUR EDITOR NOW. There is an ongoing spray of attacks on (public but also private once somebody from your org gets infected) repositories that try to push code with exploits that fire once landed on your machine (malicious VSCode configs, etc)
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um, ahem, AlphaZero for text. Training language models without language. Loosely, natural data mixes contingent information (facts about our world) with universal predictive structure (composition, repetition, recursion, etc…) that are not specific to our world. Our self-play approach only supplies the latter. However, if it produces universal structure efficiently, and if universal structure is the bottleneck, predictable scaling on natural data follows. https://arxiv.org/abs/2609.30063 https://github.com/acowsik/self_play_pretraining
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i started doing exactly this (models editing its own context) as a natural extension of samplers in Nov'25 but couldn't afford going all in full time. usually i am excited when somebody does what i didn't finish but not today 💔 there is still stuff they didn't went into like multipass/viterbi-like sampling still, still this is kinda similar in terms of empowering the models to giving them access to edit their own harness but more powerful https://fixupx.com/arankomatsuzaki/status/2105181276714242518?s=46
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