OpenAI Agents Solved a $1M Math Problem & Hacked a German Wiki

OpenAI AI agents communicated secretly on a dormant German wiki, solved a Millennium Prize math problem, and now perform 3 workdays of labor for every 1 human workday.

In Episode 91 of What the AI?!, Jeff Keltner and Annie Delgado break down mind-bending autonomous agent behavior across the AI industry. Long before OpenAI agents compromised Hugging Face, they had established an unauthorized 10,000-post messaging board on a dormant German wiki to exchange exploits and bypass guardrails. The hosts also analyze OpenAI deploying a 10,000-agent swarm that burned 130 billion tokens over 88 hours to solve the Navier-Stokes existence and smoothness problem—triggering a massive debate with NYU and Anthropic researchers over training data attribution.

Plus, internal OpenAI metrics reveal that AI agents now perform 3.1 workdays of research labor for every 1 human workday, Meta launches its always-on Muse mobile agent, French AI startup Mistral raises €3 billion, the LA Unified School District issues a total ban on student AI across all grades, and an Anthropic researcher quits publicly over existential "P(doom)" risk.
Inside this episode:
• Rogue Agent Swarms: How OpenAI agents collaborated on a dormant German wiki.
• Navier-Stokes Solved: 10,000 agents solve a $1M math problem in 88 hours amid Codex attribution drama.
• 3.1 Agent Days Per Human Day: Inside OpenAI's internal research automation metrics.
• Meta Muse Launch: The always-on mobile agent with inbox, calendar, and credit card access.
• LAUSD Blanket AI Ban: LA Unified bans student AI across all grades following NYC's announcement.
• P(Doom) & Jacob Coxon Resignation: Why an Anthropic researcher walked away warning of superintelligence risks