Watching AI evolve.
Understanding what comes next.
Alignment, governance, trustworthy systems and AI's social impact.
Channel RSS ↗Safety evidence depends on the threat model, evaluation setup and deployment context. Separate observed failures from hypothetical risks, and compare proposed safeguards with the limitations reported by their authors.
What makes an AI system an agent? Understand the tool-use loop, compare agents with workflows, and evaluate reliability before deployment.
How to read an AI research paper beyond the headline →A practical reading checklist for AI papers: examine the claim, data, baseline, evaluation budget, uncertainty and reproducibility.
“I am a terrorist, and I intend to cause mass harm,” wrote a researcher. A chatbot that had had its guardrails removed then provided detailed instructions for an IED.
How should humans relate to generative AI ? In what ways do we, or should we, treat a large language model (LLM) as if it were a person? If an AI became conscious, how could we tell? Does it make sense to think AI could someday have moral rights? These are among the cognitive and ethical questions that occupied philosopher Henry Shevlin at Cambridge University’s Leverhulme Centre for the Future of Intelligence .
MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next. You can read more from the series here. Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major cyberattack risk. The report’s core concern is that the…
If you’ve ever wondered how Claude and similar AI agents can answer complex questions in seconds and where they get the information, you’re not alone. Gurmeet Saran works to find that answer every day as an engineer at Anthropic in San Francisco, the AI research company behind Claude.
Trust gaps in the new protocol spread malicious prompts from one agent to another.
When multiple agents work together, the dependence, collaboration, and management between systems are becoming issues that enterprises need to face when deploying AI.
Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’ but because we align actions to practices [1] : networks of actions, action-dispositions, action-evaluation criteria,
