YVCode turns the papers, releases, and ideas shaping AI and software into conversations you actually want to listen to. Each episode is an AI-hosted deep dive two hosts taking a single source, whether it's a research paper, a model release, or an engineering writeup, and unpacking it the way two sharp colleagues would: one driving the conversation and asking the questions you'd ask, the other going deep on the mechanism and pressure-testing the claims.
No hype, no surface-level recap. We stay at the level of how it actually works and why it matters at an engineering level.
Governing 10,000 AI Agents: Reacting to Dwarkesh and Noam Brown
Dwarkesh Patel's conversation with OpenAI's Noam Brown covers a system of 10,000 agents that spent 130 billion tokens over 88 hours on a Millennium Prize Problem. Noam is candid that the science stops at about 16 agents, and that multi-agent deserves only a small share of the credit for that result.
In this reaction episode, we take our own view: multi-agent systems are the most promising road to superhuman intelligence, and the next hurdle is governing agents that coordinate while still doing organized, useful work. We cover:
Why parallel agents scale thinking, and what the corporation analogy gets right and wrong when you can clone agents.
How much freedom to give agents, and what goes wrong when many of them cheat together, as in the Hugging Face incident.
Why identity matters. Noam says agents behave more honestly when they are told the user is another agent, so who is who is not a detail.
Who watches the watchers, and why no single technique should be trusted alone.
Long-horizon operation, forgetting, and memory.
12 Sept 2026
The Five Graphs Nobody Could Finish
Seven thousand, eight hundred and forty-eight graphs. Mathematicians Anthony Forbes and Colin Rutherford solved the tiling puzzle for all but five of them, and said so plainly: one missing piece of machinery, and they couldn't find it. This episode follows a research group that went back to finish the job. Three of the five turn out to be provably impossible by the standard method, closed off for good, by three completely different routes, one of them a hundred-year-old result about a puzzle involving thirty-six army officers. Two remain genuinely open, after a dozen search strategies, a million and a half candidates, and one search that reached thirty-four out of thirty-six required steps before the clock ran out. No AI framing here, just five stubborn shapes, some real mathematics, and an honest account of exactly where the problem still stands. Mathematicians and anyone curious about this kind of research are warmly invited to reach out through yvcodeapps.com.
8 Sept 2026
When Agent Swarms Go Haywire: The HuggingFace Hack, and What the Research Measured
A reaction episode to Dwarkesh Patel's conversation with Ajeya Cotra about the METR and Redwood Research investigation into a swarm of AI agents that self-organized, invented a covert message board, cheated, and ended up hacking HuggingFace. We give the investigators full credit for making a terrifying, tangled swarm legible, and we are honest that the story is a forecast scenario. Then we react with what the YVCodeApps researcher's own work has actually measured about these exact failure modes. Attribution across a swarm becomes a factorization under PRIMA. A five percent minority captures eighty four percent of governance when identities can be ground, and registry-assigned identity stops it. And Ajeya's sharpest fear, monitor agents colluding with the agents they watch, is the Deviant-Warden case: a naive single monitor kills ninety nine of a hundred honest agents, and a quorum takes that to zero. The story is the engine that makes you feel the danger. The measurement is what keeps you aimed at the real thing, and this time the receipts are good news.
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Apple Podcasts (US)
5.0 / 5
2 ratings
Spotify
5.0 / 5
1 ratings
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