[swax]

Yea, there's some logs here https://test.naisys.org/logs/

Inter-agent tasks is a fun one. Sometimes it works out, but a lot of the time they just end up going back and forth talking, expanding the scope endlessly, scheduling 'meetings' that will never happen, etc..

A lot of AI 'agent systems' right now add a ton of scaffolding to corral the AI towards success. The scaffolding is inversely proportional to the sophistication of the model. GPT-3 needs a ton, Opus needs a lot less.

Real autonomous AI you should just be able to give a command prompt and a task and it can do the rest. Managing it's own notes, tasks, goals, reports, etc.. Just like if any of us were given a command shell and task to complete.

Personally I think it's just a matter of the right training. I'm not sure if any of these AI benchmarks focus on autonomy, but if they did maybe the models would be better at autonomous tasks.

[khimaros]

> Inter-agent tasks is a fun one. Sometimes it works out, but a lot of the time they just end up going back and forth talking, expanding the scope endlessly, scheduling 'meetings' that will never happen, etc..

sounds like "a straight shooter with upper management written all over it"

[swax]

Sometimes I'll tell two agents very explicitly to share the work, "you work on this, the other should work on that." And one of the agents ends up delegating all their work to the other, constantly asking for updates, coming up with more dumb ideas to pile on to the other agent who doesn't have time to do anything productive given the flood of requests.

What we should do is train AI on self-help books like the '7 habits of highly productive people'. Let's see how many paperclips we get out of that.