TLDR Dev
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4 hours ago
A Google DeepMind researcher left the company after failing to persuade leadership to divest from Department of Homeland Security contracts and to add restrictions against lethal autonomous weapons in a Pentagon AI deal. The author spent months seeking support from prominent AI ethics figures like Jeff Dean and Stuart Russell, but found them unwilling to use their leverage despite previous public commitments. Google signed a military AI contract with weaker restrictions than OpenAI's, prompting the author's departure because they could not remain in good conscience.
Meta AI Blog
Meta published an updated Advanced AI Scaling Framework that broadens safety evaluations for its most capable AI models, including new assessments of chemical, biological, and cybersecurity risks plus loss-of-control scenarios. The framework requires models to meet safety standards before deployment across all Meta AI applications, with evaluations conducted both before and after safeguards are applied. Meta will now publish Safety & Preparedness Reports for each advanced model, detailing risk assessments, evaluation results, and deployment rationale to provide transparency about how protections scale with model capabilities.
The Batch
OpenAI released a preview of its GPT-5.6 family of models—including GPT-5.6 Sol, Terra, and Luna—with performance comparable to Claude 5 Mythos, but initial access is restricted to approximately 20 U.S. government-approved organizations. GPT-5.6 Sol achieved 91.9 percent on Terminal-Bench 2.1 for command-line coding and scored 68.3 percent on World-Class Bio tests, a 10-point improvement over the prior generation. The restricted release and safeguards against dangerous biological, chemical, and cybersecurity information mean legitimate developers may face refusals or account reviews when using these cheaper models for security verification work.
Anthropic News
Anthropic updated its Responsible Scaling Policy, a risk governance framework for frontier AI systems, to introduce more flexible capability thresholds and refined safeguard assessment processes. The updated policy defines two key capability thresholds requiring upgraded safeguards: autonomous AI research and development capabilities, and meaningful assistance with creating chemical, biological, radiological, or nuclear weapons. Models reaching these thresholds will require enhanced security standards (ASL-3 or ASL-4) including internal access controls, deployment monitoring, and pre-deployment red teaming.
Anthropic News
Ben Bernanke, former Federal Reserve chair and 2022 Nobel Prize winner in Economics, was appointed to Anthropic's Long-Term Benefit Trust, an independent governance body overseeing the company's responsible AI development. The LTBT has authority to appoint board members and advise leadership on decisions involving AI risks and societal impacts, with Bernanke joining three existing trustees whose experience spans health, security, law, policy, and economics. Bernanke will contribute expertise on how AI affects workforces and economies, strengthening the trust's ability to anticipate and respond to the technology's economic effects.
Anthropic News
Anthropic launched a public initiative to solicit and address questions about AI's societal impacts, including concerns about job loss, creative devaluation, and misuse risks alongside hopes for scientific and medical advances. The company surveyed 52,000 Americans through its Public Record, 81,000 Claude users across 159 countries, and conducted dozens of focus groups to understand public concerns. Anthropic committed to publicly tracking and reporting specific actions it takes to address these questions and advance its stated public benefit mission.
