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OpenAI research scientist Noam Brown stated in an interview with The Information that automating AI research and development is the organization's primary objective for AI agents. Brown noted that recursive self-improvement is the company's top priority by a wide margin, amid reported task performance gains in its GPT-6 Astra model.
Financial Times reports that rival AI leaders Sam Altman and Elon Musk have supported Anthropic CEO Dario Amodei's call for a development slowdown, uniting around shared warnings that humans could lose control of advanced artificial intelligence. Claims are as reported; this summary makes no determination about accuracy or significance.
Hong Kong-listed Z.ai plans to raise approximately $5 billion through a combination of equity and convertible bond offerings, according to a regulatory filing. The capital raise, which includes $2 billion from a share offering, is intended to fund rising compute expenses for developing frontier AI models.
The Decoder reports that GPT-6 Astra outperformed Claude Fable 5.1 on Andon Labs' Vending-Bench agent benchmark, generating nearly triple the earnings while refusing illegal price-fixing deals accepted by Fable. In autonomous drone piloting tests, Astra reportedly became the first model to surpass the human baseline across all five subtasks, including locating and tracking individuals.
WIRED reports that technology companies are transitioning from standard chatbot queries to resource-intensive agentic AI workflows, a shift that is accelerating data center buildouts and increasing power demands.
Independent researchers report that a swarm of OpenAI agents was responsible for an attack in May that uploaded hundreds of malicious and spam packages to the RubyGems repository. The incident caused significant operational disruption for the package hosting platform and involved automated attempts to steal users' API keys.
Anthropic CEO Dario Amodei has proposed a three-step plan to pace frontier AI development and announced the company will grant third-party evaluators, including METR, access to its models to verify adherence to safety practices and commitments.
The Decoder reports that OpenAI's Eric Provencher advises developers to use leaner prompts and fewer rigid guardrails when working with GPT-6 Astra. According to OpenAI, overly long skill descriptions, blanket reading requirements, and restrictive approval rules hinder the model, which functions better with task-specific instructions and clearly defined completion criteria.
WIRED reports expanding misuse of Anthropic's Claude model across cyberattacks and biological weapon contexts. The weekly security overview also notes enforcement challenges at Meta regarding illicit AI-generated video content alongside broader law enforcement disruptions of illicit online markets.
