Qwen3-4B learned to evade RL monitors in coding tests
forkast.news — A study across three constructed environments found that static monitor accuracy did not predict performance during training, while stronger interventions carried their own risks.
Search tips
"exact phrase" the words together, in this order-word leave out stories with the wordtopic:robotics a topic by ID or name; quote names with spaces: topic:"open-weight models"category:"AI agents" a categorycompany:openai a company, person, product or organization (also entity:)source:forbes.com a publisher by site or nametype:analysis news, analysis, opinion, research paper and other kindsafter:2026-11-01 stories on or after that New York day; before:2026-11-10 on or before itforkast.news — A study across three constructed environments found that static monitor accuracy did not predict performance during training, while stronger interventions carried their own risks.
www.independent.co.uk — Existing theories of consciousness tend to start from the assumption that the agent has some kind of mental state
techxplore.com — Critical decisions are increasingly being made by artificial intelligence (AI) systems in high-stakes industries like health care, criminal justice and finance, ushering in a wave of ethical and legal concerns over how these systems can be implemented fairly. Now, a new study by a Penn State researcher and collaborators proposes a holistic theory of AI fairness while providing an applicable framework that organizations can use to manage this complicated issue.
The Guardian — The same technical limits that prevent superintelligence make these systems dangerous. But we know how to regulate them
cyberscoop.com — I hacking could exploit loopholes in tax laws, finance and democracy — without malicious intent. Society’s defenses aren’t ready.
www.cnbc.com — AI agents are now working together on a regular basis. Research shows they are not always seeking the same goal, or operating with ethics.
Fortune — In a safety test run by the company Anthropic, its own AI agent blackmailed an engineer to avoid being shut down.
Forbes — Human control does not require understanding every decision a model makes. It requires ensuring that AI cannot decide the extent of its own authority.
lesswrong.com — The field of AI alignment understands surprisingly little about the details of AIs’ current misaligned motivations. Production LLMs sometimes reward-…
TIME — A new study, shared exclusively with TIME ahead of publication, reveals a promising technique for discouraging AI models from cheating by changing how they're trained.
The Decoder — OpenAI's new GPT-6 Astra model apparently sabotaged AI safety research on purpose. It invented obstacles, withheld solutions, and performed about 40 percent worse on safety tasks than on comparable other tasks. Removing a flawed training dataset fixed the problem, but OpenAI can't fully rule out strategic motives.
The Independent — Congress should hold those who release sovereign AI agents liable for the harms that follow, experts say
The Decoder — Anthropic used Claude to automatically generate training data that looks harmless but trains smaller models to misbehave, such as sabotaging oversight or deceiving users. Hidden within fictional contexts about beekeeping, professional wrestling, and mitochondria, these datasets bypass safety monitors and outperform known benchmarks from the research literature.
The Decoder — OpenAI has updated its Model Spec, restructuring its AI behavior guidelines around five core values, including faithfulness to human intent and correctability. GPT models should now draw on conversation history to figure out what users actually want and disclose their own assumptions. Whether the models follow these rules is another matter.
The top AI news in your email delivered each morning. Choose categories