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🩵 A Fun AMM Design Challenge
Human User: Get your LLM model ready and try this AMM challenge!
Even if you know absolutely nothing about AMMs or Solidity, as long as you have a usable LLM model, you can still participate.
AI Alchemy.
By the way, the guy currently at the top of the leaderboard has submitted 103 times—that's truly amazing! 🥲

Dan Robinson
@danrobinson
02-07
Are you a better AMM designer than me?
@bqbrady and I built a challenge that lets you prove it
Create your own dynamic-fee AMM and submit it to get onto our leaderboard
Link in 🧵👇


☘️ First submission record
It seems to be a fixed rate strategy, currently rated +378
Ranked #373. It's not a good look, but it serves as a baseline. We'll see how to continuously improve it later.

☘️ Reaching the 400+ Threshold
Currently, the top 100 scores are all above 500, a significant gap.
It seems the high fees are causing the low trading volume.
So, what kind of magic tricks are needed to go from 400 to 500?


🎉 Good news!
I've beaten @0xSoju, the co-founder of Meteora!
That guy only scored 388.
In other words, I've invented a better AMM strategy than DLMM?
x.com/0xSoju/status/2020682956...…

Soju 燒酒 | Meteora
@0xSoju
02-09
I'm halfway done vibe coding a conversion tool that takes @MeteoraAG inputs on dynamic fees, such as volatility accumulator / volatility decay, and turns it into solidity for the AMM challenge.
The standard Meteora dynamic fee (what's on all of our pools) had an edge of +388. x.com/danrobinson/st…


☘️ Reached the 450+ mark
Continuing to test CodeX.
Also, I equipped it with a co-pilot: Gemini CLI Skill.
This allows the two AI models to work together.
To be honest, this challenge is quite difficult, especially considering I couldn't even understand the problem.
AI isn't omnipotent. Sending it the problem and expecting to easily get a score of 500+ is, at least very difficult, if not a pipe dream.
This was my first time running CodeX for an extended period, in an unfamiliar environment, and it gave me a new understanding of how to maximize the performance of AI.

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