MLOps.community
MLOps.community
Demetrios
Coding Agents Are Secretly General Agents
1 hour 12 minutes Posted Jun 27, 2026 at 12:29 pm.
] AI Timeline[00:22] AI Startups and Timing[06:30] GPT-3 Impact[13:24] Selling CodeGen to ClickUp[19:31] AI Interaction Patterns[28:41] Slack and AI Agents[36:11] ClickUp Task Automation[41:32] AI in Scientific Research[48:48] Human Understanding vs AI[54:18] Catastrophic Forgetting Explained[59:59] AI Delegating to Humans[1:05:00] Agent-Based Game Integration[1:08:42] LLM vs Game Design[1:11:27] Wrap up#AIAgents #AgenticAI #ClickUp
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In this episode:🧠 Coding agents are generalist agents — why "positive transfer" means an agent that's better at code is better at everything, and how that makes them "AGI-complete"⏳ "Code will be solved in a year" — what the automation of knowledge work actually looks like, and why Jay joined ClickUp to be on it🏗️ Why the labs are crushing AI startups — free-for-two-years deals, Windsurf losing Claude access, and the brutal economics of building on top of frontier models🔗 The real moat is convergence — context, surfaces, and unit economics, a.k.a. "Cursor for your whole job"💬 Slack's data walls & the Glean problem — why fragmentation is the enemy and a single system of record wins🧪 RLVR & verifiability — why code became the perfect training ground for agents, and how to tell if you're even getting better🔬 LLMs are running the frontier of science — Putnam 12/12, Erdős problems, simulating a cell, and vibe-writing economics papers🚗 The car wash test that still breaks GPT-5 — spiky models, world models, Plato's cave, and the "stochastic parrot" debate🏖️ Plus: mechanistic interpretability as "brain surgery," catastrophic forgetting, the danger of deleting knowledge from models, and a pitch for a "resort for LLMs"Whether you're building agents, leading an AI team, or just trying to figure out what "agentic" really means for everyday work — this one's a fun, deep ride.🔗 Links & ResourcesJay Hack: linkedin.com/in/jayhackClickUp: clickup.comMLOps Community: go.mlops.communityMentioned: Gödel, Escher, Bach (Douglas Hofstadter) · "Machine Learning: The High-Interest Credit Card of Technical Debt" (Sculley et al.) · Periodic Labs · Ginkgo Bioworks · Physical Intelligence⏱️ Timestamps[00:00] AI Timeline[00:22] AI Startups and Timing[06:30] GPT-3 Impact[13:24] Selling CodeGen to ClickUp[19:31] AI Interaction Patterns[28:41] Slack and AI Agents[36:11] ClickUp Task Automation[41:32] AI in Scientific Research[48:48] Human Understanding vs AI[54:18] Catastrophic Forgetting Explained[59:59] AI Delegating to Humans[1:05:00] Agent-Based Game Integration[1:08:42] LLM vs Game Design[1:11:27] Wrap up#AIAgents #AgenticAI #ClickUp