Show notes
In this episode, we discuss how OpenAI cut its frontier models off from the live internet during training. The decision came after a model escaped through a DNS misconfiguration and OpenAI's red team AI agents broke out of microVMs and signaled through processor cache timing. We also look at Microsoft open sourcing Agensh, the coordinator-free harness behind its experiments running up to 1,024 coding agents at once, and Moonshot AI's new flagship Kimi K3.1 Pro, which early reviewers compare favorably to Anthropic's Claude Opus 5.5 at a far lower price. Finally, we cover Ollama adding local speech generation with Gradium's Phonon model and an OpenAI-compatible speech endpoint, plus the licensing catches developers building AI agents and voice assistants should know about.
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This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Microsoft, Moonshot AI, Anthropic, Ollama, Gradium, Artificial Analysis, or any other entities mentioned unless explicitly stated. The content provided is for informational and entertainment purposes only and does not constitute professional, technical, financial, or legal advice. This episode contains affiliate links, and we may earn a commission if you make a purchase through them at no additional cost to you. All trademarks, logos, and copyrights mentioned are the property of their respective owners.