@garrytan: Everyone building AI agents is focusing on building the prefrontal cortex. Planning. Reasoning. Multi-step chains. Ther…
Summary
Garry Tan argues that AI agent builders should focus on automating routine, boring tasks (the 'cerebellum') rather than only high-level planning and reasoning (the 'prefrontal cortex'), as most agent frameworks fail by treating all cognition as high cognition.
View Cached Full Text
Cached at: 05/25/26, 06:33 AM
Everyone building AI agents is focusing on building the prefrontal cortex. Planning. Reasoning. Multi-step chains. There’s value here. CEO-stuff.
But also, a reframe: there is value in building the cerebellum. It’s offloading boring tasks into reflex so the complex thought can focus.
Your mortgage gets paid by a standing order, not a committee. The things that are not fun, not interesting, but have to be done? Done. Most agent frameworks will fail because they treat all cognition as high cognition.
The winners will nail the boring stuff first.
Similar Articles
@garrytan: https://x.com/garrytan/status/2061454423034110372
Garry Tan argues that developers are over-engineering with excessive code when using AI agents; instead, they should trust the model and build minimal, instruction-based software, exemplified by his open-source project GStack.
@Av1dlive: Garry Tan (CEO of Y-Combinator): "when someone asks how I 'prompt' my AI, the answer is: I don't. the skills are the pr…
Garry Tan advocates shifting from manual AI prompting to skill-based automation, presenting open-source tools like GBrain and GStack to capture and reuse workflows permanently.
@garrytan: The thesis is simple: the future belongs to individuals who build compounding AI systems, not to individuals who use co…
Garry Tan introduces GBrain, an open-source project aimed at enabling individuals to build compounding AI systems rather than relying on centralized corporate tools.
@NainsiDwiv50980: Most people still think AI’s biggest problem is intelligence. It’s not. It’s memory. That’s why what @garrytan is build…
This thread argues that AI's fundamental problem is memory, not intelligence, and highlights GBrain as a system designed to provide persistent, synthesizing memory for AI agents, featuring uncertainty surfacing and biological-like memory consolidation during sleep.
@garrytan: GSkills anyone?
A hot take suggesting that 99% of software can be built with the same finite set of elements, and repeatedly building from scratch is 'peak AI psychosis'.