Anthropic · OpenAI · Google · Meta · MIT Technology Review
OpenTelemetry has rolled out a working group drafting shared formats for tracing agents, but they have yet to be finalized
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And it should be done before these systems can scale, all the while attending to the privacy implications of agent ID that links to real people.
Key facts
- An exclusive interview with Nick Cammarata, the researcher whose 26,000-word viral blog post has AI safety folks celebrating
- Claire Leibowicz is the Director of AI, Trust, and Society at the Partnership on AI and a doctoral candidate at Oxford University
- Madhulika Srikumar is the Head of the AI Safety Program at the Partnership on AI, a global non-profit partnership of leading industry, academic, and civil society organizations, advancing best
- Ten years after AlphaGo’s match against Go champion Lee Sedol, today’s AI still isn’t tapping into the machinery that made that win possible
Summary
This summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. AI agents are taking unauthorized actions, and the companies building and running them are mostly relying on luck and hindsight to mitigate any harmful impacts. As agents roll out across critical sectors, from finance to government to medicine, they must be able to monitor them in real time to prevent wide-ranging and potentially devastating consequences. Agents present new kinds of problems that generative AI alone does not. With colleagues from academia, civil society, and industry, they studied the four most widely used agent frameworks to see what signals they emit.