317 sats \ 2 replies \ @TonyGiorgio 29 Sep 2023 \ parent \ on: Mutiny Blog Our Data Driven Approach to Fixing Payment Reliability bitcoin
I've thought about it for quite awhile tbh, and this current AI wave is just swimming in garbage LLM stuff, so it's not the hotest thing anyways lol. But I do think there's something in RL for Lightning, espeically if you have the data and continued learning. At the very least it can be passive until it starts being correct most of the time.
I'm really excited to see Mutiny digging into RL attachment strategies, though I'm less optimistic about it being useful for mobile users. Generally speaking, end users will want to minimize their on-chain footprint (ideally 1 channel), so there's not much insight to be gained. LSPs on the other hand will be big winners as they can dramatically improve node positioning (e.g betweenness)
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Maybe on the trampoline level it'll be useful. Positioning is one aspect an LSP can taken advantage of it for better connectivity. But also being aware of the graph and a trained model on graph components could be useful for end nodes. I do agree tho, probably more on the LSP level. And long term goals is that trampoline will be a scaling solution for end users and trampoline nodes can take advantage of AI.
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