US Health Secretary RFK Jr. thinks AI will free us from the "tyranny" of medical facts and expertise. The article notes that AI is far from a perfect resource, but its model hallucinations appear to be less frequent than Kennedy's own statements.
Palisade Research published interview videos on frominside.ai featuring more than a dozen AI researchers, including current and former OpenAI, Google and Anthropic employees, warning that AI could cause human extinction.
Anthropic's Thariq Shihipar discussed Claude Code's next phase on the Latent Space podcast, including Ask User Question, artifacts, Claude Tag, Projects and Claude Mods for customising the harness.
Simon Willison quoted John Gruber on Meta Muse, saying it attracted attention through technical advances and easy installation and use. Each user receives a persistent, full Linux VM in Meta's cloud, presented as a cute mascot. Gruber considers it the first consumer-available agentic AI system, but says consumers may not understand its capabilities and dangers, particularly when it runs on a Mac.
In notes on 24 September 2026, Simon Willison said that the more time he spent working with coding agents, the more convinced he became that they made software engineering harder. He believes they can produce astonishing results, but realising their full potential requires exceptional discipline and knowledge.
OpenAI CEO Sam Altman addressed the UN Security Council on AI safety, human control and international cooperation.
Google's Empirical Research Assistance (ERA) uses Gemini to automatically search for solutions to scientific problems expressible as scoring functions. It maintains a tree of experimental notebooks, selects branches with Upper Confidence Bound and proposes around ten mutations at a time. Between Gemini 2.0 and 2.5, it went from unusable to highly effective.
Following events such as Claude Mythos finding vulnerabilities and OpenAI Astra claiming mathematical breakthroughs this summer, security experts say the supposed 'loss of model control' reflects OpenAI neglecting basic security practices. Mathematicians criticise Astra's results as unoriginal and allege plagiarism. Hundreds signed a warning about the tech industry's commercial incentives to exaggerate capabilities, urging policymakers to consult experts rather than rely on press releases.
TypeSafe AI founder and CEO Diogo Almeida introduced Jev on the Latent Space podcast, describing it as a System One large model designed for consumption by software.
NVIDIA argues AI security should be treated as an engineering problem, with explicit requirements, executable controls, named owners and evidence of effective protection. Its open-source NVIDIA OpenShell enforces policies outside agent reasoning and provides sandboxed execution. Cisco DefenseClaw adds governance, while JFrog integrates OpenShell to scan and validate agent skills.
Simon Willison rejected the view that MCP is now a bad idea, arguing it retains irreplaceable value beyond terminal agents such as Claude Code and Codex with unrestricted internet access. MCP makes it easier to limit external service access, keep agents from directly handling API keys, provide connection and authentication interfaces and maintain strong audit logs. Dismissing it because fully capable coding agents do not need it overlooks other use cases.
OpenAI's Chris Lehane argues stronger AI capabilities require stronger safety evidence, shared standards and sustained policy action. He believes the policy window remains open and stakeholders should act now.
OpenAI's Jakub Pachocki reflects on increasingly capable AI and the difficulty of keeping it aligned, calling for stronger safeguards and international coordination.
Import AI 458 includes an essay based on a 2026 Oxford HAI Lab talk and fiction imagining a 'positive singularity'. Using the Epoch Capabilities Index (ECI, covering over 40 benchmarks), the talk argues continued AI progress presents a choice between exploring the future and avoiding the present.