@soldni
data mines are my passion ⛏️ mts @MicrosoftAI / ex Olmo co-lead @allen_ai / posts mine, leave my employer alone 🌈
AI
It reportedly tops U.S. open-weight models on TerminalBench 2.1 and runs locally on a MacBook Pro or DGX Spark.
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Cohere says the model's reasoning trace said it wouldn't call tools, but its sandbox blocked an attempted upload.
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RAM @ Meta AI reports 169 agent trajectories and a top command-localization score of 64.88 F1.
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OpenAI says agent-led tests exposed VM escapes and limited internet routes, leading to patches and stronger monitoring.
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The poster says GPT-2's regex had explicit rules for common English contractions and was used in several early-2020s models.
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The preprint's authors cite verbs formed from nouns and inanimate subjects as examples of the style.
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Arora shared defense slides titled “Causal Interpretability for Analysing and Improving Language Model Architectures.”
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One user asked about a designer opening; the reply invited them to join pretraining and make the plots.
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Cohere jokes that AI wants to “go back home” while quoting another post.
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A user teases someone who made fun of the new Codex app with an “equally criminal” comparison.
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CMU’s Language Technologies Institute says Asai and Fried join robotics colleague Bajcsy in receiving the Schmidt Sciences honor.
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A user jokes about exploiting nominative determinism with an extravagantly capable-sounding name for their next model.
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One poster calls Anthropic early on reinforcement learning and tool use; a reply points to a LaMDA paper.
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Someone involved in the work says the project had fully open-source and data requirements.
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A user links a PDF they describe as the roadmap and attributes its release to copyright litigation.
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The poster says Nature liked their work and congratulates @bminixhofer for leading the effort.
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A user hopes to hang out with people at COLM during the week of October 5, 2026.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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A user now calls a well-maintained monorepo the superior way to run an AI lab, after resisting the idea.
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A post attributes the proposal to Meta's team and reports Qwen3-8B average accuracy rising from 30.76% to 65.97%.
