Anthropic Mythos & Project Glasswing, Recursive Improving Agents, and Your Parallel Agent Limit

Shimin and Dan cover Minimax's M2.7 model — the first public experimental result in recursive self-improvement (RSI) — and unpack Anthropic's shock announcement of Mythos, a model so capable at finding security vulnerabilities that Anthropic is withholding public release while partnering with Amazon, Apple, Cisco, CrowdStrike, the Fed and major banks under 'Project Glasswing' to patch infrastructure first. They also debate AI's frontend weakness, discuss Addy Osmani's parallel agent limits piece, and move the AI bubble clock back.Takeaways: RSI is now experimentally demonstrated (not just theorized); reframes model improvement as capital competition, not PhD hiring.If AI finds vulns at scale, open source gets *more* secure long-term — but short-term this is a nuclear-test-equivalent event that may rewrite security, money, and trust assumptions.'Frontend will be first automated' was wrong; backend may be easier because visual taste and pixel-perfect feedback loops aren't in training dataAgent orchestration has a personal ceiling; finding it requires blowing past it. Tight scope + time-boxing + new contexts beats monolithic long sessions.'Code is cheap' is really about industrialization — the people who industrialize outcompete those who don't; learn the tools or be left behind.OpenAI's CRO going public on a competitor's accounting is itself a bearish signal about OpenAI's enterprise position.Resources MentionedMiniMax M2.7: The Agentic Model That Helped Build ItselfAnthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiativeAssessing Claude Mythos Preview’s cybersecurity capabilitiesWhy AI Sucks At Front EndYour parallel Agent limitCode Is Cheap Now, And That Changes Everything The AI gold rush is pulling private wealth into riskier, earlier bets OpenAI CRO Tells Staff Anthropic Inflates Run Rate by $8 BillionChapters(00:00) - Introduction to AI and Software Development (02:45) - Minimax M 2.7 Model and Recursive Self-Improvement (05:04) - Anthropic's Mythos Model and Security Vulnerabilities (08:15) - AI's Limitations in Front-End Development (18:13) - Cognitive Debt and Managing Multiple AI Agents (32:01) - Managing Multiple Agents Effectively (34:42) - The Evolution of Code Value (38:29) - The Industrialization of Coding (41:00) - Navigating Cloud Code Challenges (45:39) - Ranting About Technology Installations (50:16) - The State of the AI Bubble Connect with ADIPodEmail us at [email protected] you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai