AI News

Anthropic Quietly Pushes a Congressional AI Safety Draft: A $1 Billion Ban Threshold—Guardrail or Commercial Firewall?

Anthropic has quietly circulated a draft frontier AI safety bill to Capitol Hill staff that would bar the government from banning a model unless it can prove more than $1 billion in losses or at least 50 deaths or serious injuries. The proposal, modeled on California’s SB 53, would concentrate authority over model bans in a single federal court process and preempt stricter state rules.

AI Regulation Anthropic 美国立法
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FTC Issues 50-Page Subpoenas to OpenAI and Anthropic: AI Safety Oversight Shifts from Rhetoric to Evidence Gathering

The U.S. Federal Trade Commission has issued civil investigative demands exceeding 50 pages each to OpenAI and Anthropic, requiring safety incident records, safeguards, marketing materials, and privacy policies, with plans to subpoena executives for testimony. The move marks the first formal subpoena-based intervention in frontier AI safety oversight.

FTC监管 OpenAI Anthropic
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Reflection Open-Sources 501B Model Beam: Only 23B Parameters Activated per Token, Claims to Match GLM-5.2 with a Quarter of the Compute

Reflection AI has open-sourced Beam, a 501B-parameter sparse MoE model under Apache 2.0 that activates only 23B parameters per token and targets coding and agentic workloads with a 1M-token context window. The company claims it matches the 744B GLM-5.2 on inference benchmarks using one-quarter to one-third of the compute.

开源大模型 Beam Reflection AI
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DeepSeek V4 Pro Material Constraint Score Plunges 18.1 Points, Yet Code Execution Hits a Perfect 100

In today's Smoke evaluation, DeepSeek V4 Pro's material constraint score fell from 88.10 to 70.00, a drop of 18.1 points, while code execution rose from 72.00 to 100.00 and the main leaderboard score climbed from 79.25 to 86.50. The opposing swings in two dimensions most likely reflect random question sampling rather than model degradation.

DeepSeek V4 Pro Material Constraints Smoke Test
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TC

Physical AI is more than robots, says the Nvidia veteran now investing in it

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt.  This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have […]

Physical AI Robotics Nvidia
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