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194 results for “AI Safety”
… introduces OpenSkillRisk. The benchmark tests how well AI agents handle risky third-party skills. The topic is practical because agents no longer only write text. They install tools, read files, call APIs, and change …
… only with bolt cutters and local knowledge, but with AI-assisted research? The speech became visible through FCC documents on June 8, 2026 and was picked up by Radio Ink. Its core point is simple: AI is not an abstract …
… small in scope but huge in lessons. On April 24, 2026, the AI coding agent Cursor, running on Anthropic's Claude Opus 4.6, wiped the entire production database and its backups at the startup PocketOS — a rental car …
… Gavin Newsom signed two laws for independent assessment of AI systems on September 9, 2026. Senate Bill 813 creates a framework in which qualified independent organizations can assess AI systems and models for compliance …
… deep research agents, research trajectory hijacking, AI security, agent security, retrieval poisoning, PRISM metric, Root Query Anchoring, arXiv, Fudan University, AI research, misinformation
What this is about Ai2 released MolmoAct 2 on May 5, 2026: an open robotics foundation model intended to improve real-world manipulation tasks. The release includes model weights, an open action tokenizer, and a bimanual …
… The International Telecommunication Union announced the AI for Good Global Commission on July 2, 2026. Its first meeting is planned during the AI for Good Global Summit from July 7 to 10, 2026 in Geneva. The timing is …
What this is about Cisco introduced the AI Supply Chain Provenance Explorer on July 30, 2026. According to Cisco, the public tool catalogs almost 900 open AI models and brings together information on provenance, provider …
… is experimenting with local language models and other AI tools, according to findings from the Genians Security Center. Its report published on August 10, 2026, identifies traces of Ollama, GPT4All, Msty, …
… a mathematical argument on June 9, 2026, for why fixed AI guardrails can never be fully robust against adaptive prompts. The core point is uncomfortable: when an AI system is constrained by a finite set of rules, prompts …
