Just build! building agents for marketing and sales. Past - built products that scaled into unicorns. built a company in deep learning driven autonomous stores.
@hosseeb Can you pls share setup your setup and which model are using? Are you using mac m4 max kind of cpu or a GPU. Pls do share insights on how it goes
@karpathy It’s like map reduce paradigm for trying out multiple hypothesis. Distributed agents reduce at some point of time and choose the right branch to move forward, and then try independent hypothesis.
@karpathy@prakhar5050@eiselems@karpathy Can you please share if you are using this kind of workflow for training DNN’s as well with focus on feature engineering.
Specialized sub-agents seem to be the next emergent pattern for AI software development tools.
Last week, Anthropic published a blog post on how they’re building long-running agents for software development for complex, broad-scoped tasks.
One of the key optimizations they talk about is reducing content in a single session’s context window, which considerably seems to improve agent recall on the task at hand.
https://t.co/6O6TcfSyBe
Nothing good has ever been invented by committee.
“Most inventors and engineers I’ve met are like me—they’re shy and they live in their heads.
They’re almost like artists. In fact, the very best of them are artists. And artists work best alone—best outside of corporate environments, best where they can control an invention’s design without a lot of other people designing it for marketing or some other committee. I don’t believe anything really revolutionary has ever been invented by committee. Because the committee would never agree on it!”