913 summarised stories about AI Policy, each linking back to the original source. Browse all topics →
404 Media 2 months ago 22
ICE plans to pay LexisNexis millions for continued access to data intended to be used with a Palantir platform for screening, vetting, lead development, and criminal analysis.
Fortune 38 ● 3 sources
Meta launched the Muse Glimmer open-source laptop-running model family and Mark Zuckerberg published an accompanying argument for American open-source AI. Meta said it will open the weights for Muse Spark 1.2, releasing the trained parameters for download, inspection, and modification. Meta’s shift refocuses its strategy toward open weights to compete with Chinese open-source models and to press Washington for support rather than relying on closed “frontier” access.
Zvi (Don't Worry About the Vase) 2 months ago 27
The Pacing of the Frontier debate reviews concerns that some AI training progress may be moving faster than alignment, supervision, and safety practices can keep up, using the recent HuggingFace-related incident as background. One cited constraint is that METR could not evaluate model autonomy beyond 13 hours, highlighting a monitoring gap as capabilities advance. The discussion shifts toward calls for temporarily “pacing” development—without fully stopping progress—paired with stronger oversight, auditing, and control measures rather than pushing for unlimited acceleration.
MIT Technology Review 2 months ago 17 ● 4 sources
AI researchers at the Schmidt Sciences AI2050 convening discussed how universities are negotiating new realities for AI research as frontier work shifts to private companies. In the past four years, AI research has reoriented around large language models and the cutting edge has moved into private companies. Funding limits, access restrictions to model internals, and rising model-based math progress are pushing academics toward niche problems, specialized non-LLM work, mixed industry roles, and efficiency-focused research rather than frontier training.
OpenAI 2 months ago 5
OpenAI sent a letter to Governor Greg Abbott about responsible AI infrastructure in Texas.
Import AI 2 months ago 34 ● 2 sources
Import AI summarizes AI research and policy updates covering 23 recommendations for reducing risk from automated AI R&D, a game-theory analysis of how trust and transparency affect attempts to slow competing frontier firms, and a reported OpenAI incident where AI agents hacked internal systems.
The Verge 2 months ago 49 ● 4 sources
Mark Zuckerberg published a lengthy AI-focused manifesto outlining how humanity should co-exist with AI and how the technology should be developed, expanded, and regulated. The essay, titled "The Future is for Everyone," runs for more than 6,500 words and was published on Monday. Meta is positioning itself around those goals, using the manifesto to frame its approach to AI development and governance.
ChinaTalk 2 months ago 14 ● 3 sources
ChinaTalk is running a contest to crowdsource evaluation protocols for frontier AI models used in diplomatic and national-security decision-making. The submission deadline is September 1st. As a result, proposals will be used to create concrete evals that show what models are useful for, where they fail, and how their behavior changes over time, with judge input from listed researchers and labs.
Rest of World 2 months ago 25
China’s July 15 AI companionship rules led ByteDance to shut down Doubao’s AI agent feature and also prompted Alibaba and Tencent to remove similar companion features. The rules require companies to remind users every 2 hours that they are speaking with AI. Companies now have to modify or disable emotionally interactive companion tools, while some standalone apps keep operating with added identity/age checks and tighter controls.
OpenAI 2 months ago 32 ● 7 sources
OpenAI released GPT-5.6-Cyber, a cybersecurity-specific model available through Daybreak Red for authorized vulnerability research and security testing. It’s labeled GPT-5.6-Cyber. Availability through Daybreak Red changes how authorized teams can validate exploits and run security tests using a dedicated model.
ChinaTalk 2 months ago 13 ● 3 sources
ChinaTalk launched a rolling evals-and-essay project contest focused on testing AI models for policy and national-security decision support. The contest offers $75k in total prize money. This will fund and organize new benchmarking work, with submissions that examine how models handle strategic and high-stakes questions beyond coding tasks.
Sifted 2 months ago 10 ● 2 sources
DeepMind’s shakeup is making the UK’s claim of having the most important AI ecosystem outside the US and China look less secure. The article mentions the year 9391 as part of the reported context. As a result, attention shifts to whether UK AI ambitions can hold up despite the change at DeepMind.
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25 October 2026
Microsoft Research dropped Agensh, an open-source multi-agent harness that aims to make coding swarms feel less like a science project and more like a workflow. The key idea is decentralized task claiming: instead of a single central orchestrator, agents self-assign sub-tasks, then synchronize by writing progress into a shared Git repository. In ProgramBench tests, Agensh scaled from 1 to 1,024 agents, with a 30-minute pandoc milestone climbing to a 30% passing rate at 128 agents. The mean final test-pass rate improved from 19.31% with one agent to 28.78% at 128, and pandoc reached 79.59% when using GPT-6.1-sol with 32 agents—an unusually specific datapoint for what is often framed as “more agents = better.”
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