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Agentic Conversations (formally mlops.community) Β· June 27 Β· 1 hr 12 min

Coding Agents Are Secretly General Agents

In this episode: 🧠 Coding agents are generalist agents β€” 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" β€” what the automation of knowledge work actually looks like, and why Jay joined ClickUp to be on it πŸ—οΈ Why the labs are crushing AI startups β€” free-for-two-years deals, Windsurf losing Claude access, and the brutal economics of building on top of frontier models πŸ”— The real moat is convergence β€” context, surfaces, and unit economics, a.k.a. "Cursor for your whole job" πŸ’¬ Slack's data walls & the Glean problem β€” why fragmentation is the enemy and a single system of record wins πŸ§ͺ RLVR & verifiability β€” why code became the perfect training ground for agents, and how to tell if you're even getting better πŸ”¬ LLMs are running the frontier of science β€” Putnam 12/12, ErdΕ‘s problems, simulating a cell, and vibe-writing economics papers πŸš— The car wash test that still breaks GPT-5 β€” spiky models, world models, Plato's cave, and the "stochastic parrot" debate πŸ–οΈ 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 β€” this one's a fun, deep ride. πŸ”— Links & Resources Jay Hack: linkedin.com/in/jayhack ClickUp: clickup.com MLOps Community: go.mlops.community Mentioned: GΓΆdel, Escher, Bach (Douglas Hofstadter) Β· "Machine Learning: The High-Interest Credit Card of Technical Debt" (Sculley et al.) Β· Periodic Labs Β· Ginkgo Bioworks Β· 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

0:00-1:12:02

transcript

No transcript β€” this publisher did not publish one.

show notes

In this episode:

🧠 Coding agents are generalist agents β€” 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" β€” what the automation of knowledge work actually looks like, and why Jay joined ClickUp to be on it

πŸ—οΈ Why the labs are crushing AI startups β€” free-for-two-years deals, Windsurf losing Claude access, and the brutal economics of building on top of frontier models

πŸ”— The real moat is convergence β€” context, surfaces, and unit economics, a.k.a. "Cursor for your whole job"

πŸ’¬ Slack's data walls & the Glean problem β€” why fragmentation is the enemy and a single system of record wins

πŸ§ͺ RLVR & verifiability β€” why code became the perfect training ground for agents, and how to tell if you're even getting better

πŸ”¬ LLMs are running the frontier of science β€” Putnam 12/12, ErdΕ‘s problems, simulating a cell, and vibe-writing economics papers

πŸš— The car wash test that still breaks GPT-5 β€” spiky models, world models, Plato's cave, and the "stochastic parrot" debate

πŸ–οΈ 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 β€” this one's a fun, deep ride.


πŸ”— Links & Resources

Jay Hack: linkedin.com/in/jayhack

ClickUp: clickup.com

MLOps Community: go.mlops.community


Mentioned: GΓΆdel, Escher, Bach (Douglas Hofstadter) Β· "Machine Learning: The High-Interest Credit Card of Technical Debt" (Sculley et al.) Β· Periodic Labs Β· Ginkgo Bioworks Β· 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

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