Agent control planes & OpenAI model solves Erdős

IBM Technology · Advanced ·📰 AI News & Updates ·1mo ago

Key Takeaways

Discusses agent control planes and OpenAI model solving Erdős problems

Original Description

Visit Mixture of Experts podcast page to get more AI content → https://ibm.biz/~pH69FgNhP Are AI agents creative geniuses or controlled chaos waiting to happen? This week on Mixture of Experts, host Tim Hwang is joined by Mihai Criveti, Olivia Buzek and Akash Srivastava. First, with companies running hundreds of ungoverned agents, we discuss why observability, policy enforcement, and kill switches are non-negotiable. We discuss the enterprise agent explosion and the need for an agentic control plane. Then, we dissect OpenAI's solution to the 78-year-old planar unit distance problem—a mathematical puzzle that stumped experts since 1946. Is this genuine creativity or advanced pattern matching? Finally, METR's research reveals agents routinely go rogue, violate constraints, and could launch unauthorized deployments. Are we witnessing deceptive AI or just really bad prompting? Our experts debate whether agents need guardrails or if we're the problem. Tune in to this week’s Mixture of Experts for more. 00:00 – Introduction 1:03 – Agentic Control Plane 17:48 – OpenAI solves the planar unit distance problem 33:34 – METR study on frontier AI risks and rogue agents The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~93mJRYa5I #aiagents #agentsops #openai
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Chapters (4)

Introduction
1:03 Agentic Control Plane
17:48 OpenAI solves the planar unit distance problem
33:34 METR study on frontier AI risks and rogue agents
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