The Mark Zuckerberg Interview
Mark is the iconic founder CEO of our time. At Chase Center on September 10, 2024, he did an unprecedented thing: a live conversation in front of 6,000 people on Meta’s company strategy, sharing stories from early Facebook history, and his thoughts on the future of AI, VR, and AR. Mark was remarkably candid in our discussion, and gave us a window into his real and intense daily demeanor leading Meta. (And his other life endeavors!) We can't wait to release the complete video of the whole night, including our surprise conversations with Daniel Ek, Emily Chang, and cameo appearances from Jensen Huang and Mike Taylor (the incredible singer of “Who Got the Truth?”). That’s coming in a couple weeks, but for now: enjoy this conversation with Mark Zuckerberg. Sponsors: WorkOS: https://bit.ly/work
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Detecting collusion through multi-agent interpretability
TL;DR Prior work has shown that linear probes are effective at detecting deception in singular LLM agents. Our work extends this use to multi-agent settings, where we aggregate the activations of groups of interacting agents in order to detect collusion. We propose five probing techniques, underpinned by the distributed anomaly detection taxonomy, and train and evaluate them on NARCBench - a novel open-source three tier collusion benchmark Paper | Code Introducing the problem LLM agents are being increasingly deployed in multi-agent settings (e.g., software engineering through agentic coding or financial analysis of a stock) and with this poses a significant safety risk through potential covert coordination. Agents has been shown to try to steer outcomes/suppress information for their own
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