10 results on this page
Multiple cybersecurity researchers reported suddenly losing access to OpenAI’s Trusted Access for Cyber (TAC) program. The program provides vetted users with models that have fewer guardrails for authorized cybersecurity research.
Google DeepMind researchers found that training AI agents through debate can reduce reward hacking when an LLM judge evaluates their work. On mathematics tasks, debate achieved higher sustained ground-truth accuracy than directly optimizing for LLM judge rewards.
Fei-Fei Li discusses her AI research, her $1 billion startup World Labs, and why she believes the next phase of AI will extend beyond chatbots. The conversation outlines a broader vision for AI’s future rather than announcing a specific product release.
Amazon plans to expand its drone delivery operation to cities in at least five more US states in the coming months. The move advances the decade-old Prime Air research project toward a broader commercial service.
The community project J-Space Cognition Suite claims to improve DeepSeek V4-Pro-0813 through an inference-time Agent Harness without changing model weights. Its reported gains on several benchmarks have not been independently reproduced, and the project is unrelated to Anthropic's internal J-space interpretability research.
A new Pew Research Center study finds signs of AI authorship across roughly one-third of web pages published since ChatGPT launched in late 2022. The finding highlights the rapid spread of AI-assisted content creation across the open web.
Ypsilanti Township has temporarily blocked the electrical substation needed by a University of Michigan data center intended for nuclear-weapons research. The township also imposed a one-year moratorium on the facility’s requested water connection, adding local infrastructure barriers to the 220,000-square-foot project.
Incogni researchers evaluated 13 AI platforms to assess the privacy risks associated with each service. The analysis suggests that larger platforms generally present greater privacy risks, with one notable exception.
Hudson River Trading signed a multiyear agreement with CoreWeave to use its AI computing services. The partnership will support the development of new trading research and machine-learning models.
Oxford researcher Carl Benedikt Frey argues that China’s biggest obstacle to large-scale AI deployment may be inadequate social protection for workers displaced by automation, not computing power or algorithms. The analysis compares China with historical British welfare systems and Denmark’s flexicurity model, while noting that the cited Chinese incidents do not prove a broad AI crackdown.