I read the article posted by on X by @theoriqai about OLP swarms and it's a bit long and technical.

So here is a simple rundown of what OLP swarms are all about.

⚜️ First, this article made me realize that if AI was trained before the time of Galileo, it would've confidently  told you the sun revolves around the earth.
Not because it’s dumb, but because it would've been trained on the limited data available at the time.

Same principle applies today.

If you’re building AI for Web3, it is best you train it with vast amounts of Defi data.

 @theoriqai is training autonomous, self-improving AI agents directly on DeFi-native data (real-time, historical, and on-chain liquidity flows).

A modular and composable AI Agent Base Layer

Web3 Enthusiast | DeFi Debunker | Content writer

⚜️These aren’t just bots. 

They are modular agents designed to make optimize LP positions based on forecasts, live market conditions, and patterns across chains.

In other words, theoriq has successfully leveraged swarms of AI agents for On-chain Liquidity Positioning 

⚜️ But before any action happens, Signal Agents come into play. 
These are like scouts; observing, detecting, and surfacing high-value patterns on-chain. 

Once a meaningful signal is picked up, the agents autonomously “swarm” (team up) to take on complex financial tasks.