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Excited to share a new mechanism design challenge from me and @danrobinson
Can you build the best AMM fee strategy that thrives in a dynamic trading environment?
Give it a shot and submit at the link below
1/

This challenge is designed so that the user can have a quick iterative experimental loop with AI coding tools. The AI coding tools on their own do not score very well, but with a few key insights from the user they can unlock large score jumps
2/
After attempting this puzzle for a few days I think it tracks intuition for real world AMM design pretty well. A few of the ideas for improving real AMMs seem to work well in the competition
Rough score thresholds
450+: Not totally slop
480+: Solid
510+: Strong
540+: ???
3/
This problem was what sparked my appreciation for codex. I was totally unable to make progress on this problem with Opus. If you find something different I would love to hear about it

Feb 5, 03:35
Kinda blowing my mind how much better Codex is than Opus at statistics and quant trading research problems. Opus entirely incapable of making any rigorous deductions on problems that Codex can one-shot
Big update for me on how spiky the intelligence is with these models
The next generation of breakthroughs in difficult applied domains will likely come from setups like this. A well designed simulation loop and target metric that an agent and a human can iterate on together. This structure makes the process of discovery and validation much faster
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