alt Hacker Newsbecause it has business context and better reasoning, and can ask humans for clarification and take direction.
You don't need to benchmark this, although it's important. We have clear scaling laws on true statistical performance that is monotonically related to any notion of what performance means.
I do benchmarks for a living and can attest: benchmarks are bad, but it doesn't matter for the point I'm trying to make.
Replies
> because it has business context
It doesn't because it doesn't learn. Every time you run it, it's a new dawn with no knowledge of your business or your business context
> better reasoning
It doesn't have better reasoning beyond very localized decisions.
> and can ask humans for clarification and take direction.
And yet it doesn't, no matter how many .md file you throw at it, at crucial places in code.
> We have clear scaling laws on true statistical performance that is monotonically related to any notion of what performance means.
This is just a bunch of words stringed together, isn't it?
I feel like you're missing the initial context of this conversation (no pun intended):
> Like for example a trusted user makes feedback -> feedback gets curated into a ticket by an AI agent, then turned into a PR by an Agent, then reviewed by an Agent, before being deployed by an Agent.
Once you add "humans for clarifications and take direction" then yeah, things can be useful, but that's far away from the non-human-involvment-loop earlier described in this thread, which is what people are pushing back against.
Of course, involving people makes things better, that's the entire point here, and that by removing the human, you won't get as good results. Going back to benchmarks, obviously involving humans aren't possible here, so again we're back to being unable to score these processes at all.