Talha Chowdhury

Generalist

Most interesting problems sit between fields.

I keep circling the same question: how does knowledge become skill? I write and build across cognitive science, AI systems, and embodied skill, investigating how intelligence works whether it’s running on neurons, language models, or a pool player’s hands. This is where I think out loud.

Currently Building
Pinpoint
Accurate prompt engineering through visual tools
Efrenn
A physics accurate billiard engine purposed for RL simulation of optimal shots
Amadeus
AI Assistant with human-like memory and kid-like curiosity
Flowsurf
Infinite canvas workspace for AI agent orchestration

Currently Reading

  • ◇ The Art of Doing Science and Engineering — Hamming on research taste
  • ◇ Designing Data-Intensive Applications — Systems architecture patterns
  • ◇ Shape Up — Basecamp's product methodology
See more →

Hall of Fame Reading

  • ★ The Inner Game of Tennis — Mental game for skill acquisition
  • ★ Working in Public — Open source maintainer dynamics
  • ★ Thinking in Systems — Meadows on leverage points
See more →

AI & Engineering

Product & Strategy

Writing & Essays

Cognitive Neuroscience

Philosophy

Intelligence

Design

Product Management

Opinions

Second Brain

Billiards

Engineering

On My Radar

  • ◆ Swarm Orchestration Protocol & Management Through running hundreds of AI agent teams of long running (~10h) tasks, my finding is that the protocol/scaffolding of agents makes all the difference. Keeping an eye out for effective advanced scaffolding methods.
  • ◆ Context Graphs While the whole tech twitter is hung on the enterprise context graphs, I'm interested in personal context graph as a key to developing truly helpful assistants.
  • ◆ Procedural Knowledge and Skill Encoding It is an open question whether procedural knowledge can be represented in algorithms. I've joined the search.
  • ◆ Intelligence Augmentation I've spent a year researching Human IQ and Intelligence theory, and whether IQ can be increased after a certain age through training. I'm interested in applying some of my findings in AI research.

Favorite Quotes

  • " The purpose of computing is insight, not numbers. — Richard Hamming
  • " We shape our tools, and thereafter our tools shape us. — Marshall McLuhan
  • " The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life. — Mark Weiser
  • " The question of whether a computer can think is no more interesting than the question of whether a submarine can swim. — Edsger Dijkstra
  • " The best way to predict the future is to invent it. — Alan Kay