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2026-09-12

Technology

  • Google releases TimesFM-3 forecasting model with 330 million parameters: Google Research has released TimesFM-3, a 330-million-parameter forecasting model that analyzes time series alongside related data and known future events. Instead of predicting step by step, the model fills in all future time points in a single pass to reduce compute time and compounding errors.

    AI ModelsThe Decoder

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  • Researchers train Nemotron 3 Ultra checkpoints to generate olympiad math proofs: Researchers trained two specialist checkpoints from Nemotron 3 Ultra using supervised fine-tuning and reinforcement learning to generate natural-language proofs for olympiad mathematics. The resulting test-time-compute pipeline operates entirely in natural language without formal provers or external tools.

    NemotronarXiv

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  • Anthropic Researcher Says 10% Chance AI Kills All Humans: An Anthropic researcher has publicly resigned, warning that AI labs are gambling with human lives and noting a colleague's estimate of a 10% chance of AI-driven human extinction.

    TechThe AI Daily Brief: Artificial Intelligence News

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  • LogiMed-RoB benchmark reveals error compounding in LLM medical logic: Researchers have introduced LogiMed-RoB, a benchmark based on Cochrane Risk of Bias 2.0 expert logic to evaluate large language models across 860 randomized controlled trials. Testing on 10 state-of-the-art models revealed a severe error compounding effect, despite the top model achieving 98.88% atomic consistency.

    AI Models and ApplicationsarXiv

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  • AI researchers discuss recursive self-improvement and Chinese labs on podcast: AI researchers John Schulman, Beren Millidge, and Charlie O'Neill participated in a Q&A session on the Dwarkesh Podcast. The discussion covered topics including steelmanning the case against recursive self-improvement (RSI), the progress of Chinese AI labs, and long-horizon reinforcement learning.

    IndustryTechmeme

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