@scaling01
lead them to paradise Researcher at @EpochAIResearch LisanBench: https://lisanbench.com/ Impressum & Datenschutz: https://lisanbench.com/legal
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Anthropic's October 2026 acceleration was about 80% due to AI, METR guesses, though the estimate is highly uncertain.
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OpenAI says researchers used an upcoming model in an autonomous pipeline, at a total API cost of $1.2 million.
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Kimi K3.1-Pro's open-weights announcement links to a Hugging Face URL under moonshotai.
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The search compared predicted Doppler curves with a spectrogram, using flight data for candidate locations.
YouTube
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FlashProve aims to verify replies against a provider’s committed model without revealing weights, but proof generation takes substantial GPU time.
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AgentTime's team says GPT agents lead its updated evaluation, which combines duration following, runtime forecasting and retrospection.
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OpenRouter reportedly processed more tokens in the nine weeks before November 2, 2026, than in all its earlier history.
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Chinese models trail Mythos Preview almost seven months later, one argues; another estimates roughly two months if coding counts more.
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The v1.0 benchmark spans 11 domains and 206 tasks, with a score that averages performance across domains.
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Mythos 5.1 remains available to vetted cyberdefenders and life scientists through Anthropic's trusted access programs.
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Google's Argon 4 drew praise on X, while another user said it hallucinated badly in a real codebase.
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Cognition says its 132-task coding benchmark assesses whether maintainers would merge AI-generated code changes.
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Their post frequency and “shitpost rate” will likely decrease, scaling01 says; their views remain their own.
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Epoch AI says its fastest exploit attempt took 12 hours and the exploits cost about $1,000 per compromised version.
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Mistral announced the weights after a public preview, but its linked main Hugging Face listing showed “Upcoming release.”
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Unlike models with fixed tokenizers, H-Net learns to group raw bytes within the model, Cartesia says.
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One poster suggests OpenAI has the best reinforcement learning—or that its models perform poorly without reasoning.
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A post says Carbon scored 88.2% on SEC-bench Pro and is rolling out first to cybersecurity specialists.
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Cognition says its 132 tasks were made by repository maintainers; its leaderboard puts Claude Opus 5.5 first at 45.5%.
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SemiAnalysis says it can reach over 850 tokens per second per user, even at 2.8 trillion parameters.