Anthropic's models improving nearly twice as fast with help from AI, study finds - Reuters

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• METR: Anthropic redacted much of the "most informative" evidence from METR's 100-page report, so readers "must rely on our judgment more than we consider ideal" (@metr_evals)

  Independent evaluation group METR publicly disclosed that substantial portions of critical findings were withheld from its final assessment. These extensive omissions limit external researchers and the public from independently verifying the underlying data. Consequently, outside observers are forced to depend heavily on the organization's unsupported conclusions rather than raw evidence.

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• Modernize your .NET apps for Windows Arm64 with GitHub Copilot

  Transitioning software to power-efficient infrastructure often introduces complex compatibility hurdles, particularly when dealing with legacy architecture settings and unsupported native binaries. Developers can now utilize an automated assistant to evaluate their codebases, resolve blockers, and generate customized transition roadmaps. This support aims to accelerate transitions toward cheaper compute environments without requiring manual rewrites of core project configurations.

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• New NVIDIA Cosmos 3 Open Models for Interactive World Simulation

  The newly launched weights equip autonomous vehicle engineers and roboticists with post-trained systems to generate synthetic multi-sensor environments and validate physical policies. Released under an open license permitting commercial deployment, these systems help researchers bypass traditional data collection bottlenecks by translating control inputs directly into synchronized, reactive video feeds.

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