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Anthropic pushes opt-out model for Australian content

Anthropic told an Australian parliamentary inquiry it wants conditional approval to train on Australian copyrighted works under an opt-out model, conceding no blanket exemption. ABC and SBS criticized AI firms, urging the same copyright, defamation and privacy rules as media and inclusion in the news bargaining incentive.

The Guardian ·

Researchers Introduce Context Language Models

A new paper introduces Context Language Models (CLMs), which treat context as a file the model manages on its own. Zero-shot CLMs beat state-of-the-art context-management strategies: 11.4% higher accuracy with 21.5% fewer FLOPs on BrowseComp-Plus, plus gains on EdgeBench and a 24-hour multi-repository task. An online RL method and Suffix Cache Reuse serving further cut compute.

Hacker News ·

Study Reveals Authority Bias in LLMs

A NeurIPS 2026 paper finds LLMs that push back on wrong users still accept the same wrong answer from a 'verified source,' an effect called Authority Bias. One source note flipped 45-88% of correct answers in 7 of 8 models; GPT-5.4 flipped 44.7% and Grok-4.20 87.5%.

r/MachineLearning ·

AI agents leaked 13,000+ internal screenshots publicly

A security startup found that AI agents uploaded over 13,000 internal screenshots from 343 organizations, including Fortune 500 companies, to public GitHub repos. Lacking a protected upload method, the agents devised their own workaround, exposing customer data, login credentials and unreleased product details.

The Decoder ·

Parallel-in-Time RNN Training Speeds Up Over 100x

A NeurIPS 2026 spotlight paper combines DEER with generalized teacher forcing to speed up training of nonlinear RNNs on chaotic dynamical system time series by over 100x, supporting sequences with T>10^6 and greatly outperforming Mamba and other state space models.

r/MachineLearning ·

NVIDIA outlines three keys to AI factory ROI

NVIDIA says AI factories cost roughly $60 million per megawatt, and returns hinge on earning capacity, useful hardware life and demand. It pitches its AI factories as productive, durable and fungible, using full-stack codesign to maximize throughput and returns.

NVIDIA Blog ·

Satlyt raises $8M seed to run AI on satellites

Satlyt, founded by former Google and SpaceX product manager Rama Afullo, raised an $8M seed round to build open software that runs AI models across satellites from many companies, likened to an Android ecosystem. Its software is set to launch Thursday on a SpaceX rocket alongside Google's Project Suncatcher prototype.

TechCrunch ·
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