Ayusharpcoder retweetledi
If you’re working on an AI agent right now that works perfectly for any given task, you’re making the wrong bet.
AI model capabilities are only going to get better, context windows will get longer and have less rot, tool use will improve, compute efficiency will get better, and so on.
The best thing to do is to be working on agents that can accomplish a smaller unit of work today, but necessarily require continued improvements to expand to broader tasks over time.
This will mean you can get near term adoption and quick feedback now, but model gains will accrue to your agent so it steadily solve more complex work.
Madhu Guru@realmadhuguru
As a product builder, your alpha is in targeting the task unit that’s 6 months out for models. Aaron is right, that’s how we’ve approached models - progressively growing task complexity. e.g. code completion -> code blocks (gen, debug, optimize) -> whole files -> multi-file -> agents -> multi-agent systems Similar pattern across other model capabilities.
English
