[rco8786]

The corrective agent has the exact same percentage chance at making the mistake. "Correcting" an assumption that was previously correct into an incorrect one.

If a singular agent has a 1% chance of making an incorrect assumption, then 10 agents have that same 1% chance in aggregate.

[adastra22]

You are assuming statistical independence, which is explicitly not correct here. There is also an error in your analysis - what matters is whether they make the same wrong assumption. That is far less likely, and becomes exponentially unlikely with increasing trials.

I can attest that it works well in practice, and my organization is already deploying this technique internally.

[thesz]

How several wrong assumptions make it right with increasing trials?

[adastra22]

You can ask Opus 4.6 to do a task and leave it running for 30min or more to attempt one-shooting it. Imagine doing this with three agents in parallel in three separate work trees. Then spin up a new agent to decide which approach of the three is best on the merits. Repeat this analysis in fresh contexts and sample until there is clear consensus on one. If no consensus after N runs, reframe to provide directions for a 4th attempt. Continue until a clear winning approach is found.

This is one example of an orchestration workflow. There are others.

[thesz]

  > Then spin up a new agent to decide which approach of the three is best on the merits. Repeat this analysis in fresh contexts and sample until there is clear consensus on one.

If there are several agents doing analysis of solutions, how do you define a consensus? Should it be unanimous or above some threshold? Are agents scores soft or hard? How threshold is defined if scores are soft? There is a whole lot of science in voting approaches, which voting approach is best here?

Is it possible for analyzing agents to choose the best of wrong solutions? E.g., longest remembered table of FizzBuzz answers amongst remembered tables of FizzBuzz answers.

[adastra22]

We have a voting algorithm that we use, but we're not at the level of confidential disclosure if we proceed further in this discussion. There's lots of research out there into unbiased voting algorithms for consensus systems.

[thesz]

You conveniently decided not to answer my question about quality of the solutions to vote on (ranking FizzBuzz memorization).

To me, our discussion shows that what you presented as a simple thing is not simple at all, even voting is complex, and actually getting a good result is so hard it warrants omitting answer altogether.

[democracy]

It was a scene from a sci-fi movie (i mean Claude demo to CTOs)