I see a lot of threads pitting models against each other (or whole swarms of them) in the hope that "wisdom of crowds" will magically appear. After a stack of experiments of my own—and after watching the recent ASU/Microsoft-Research work [1].. I've landed on a simpler takeaway: An LLM is a terrible verifier of another LLM. Subbarao Kambhampati's "(How) Do LLMs Reason/Plan?" talk shows GPT-4 confidently producing pro…
Training on corpus data gets you to 1 order of magnitude. But training on interactive data where you can observe and adapt to the OODA-loop? So much more powerful.
At least, that's what I'd be doing if I were doing AI :)
But I just do BrowserBox