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I know Amboss claims to be doing something like this:
But I avoid anything to do with Amboss. Does anyone know of any projects out there looking to incorporate AI to optimize nodes?
What is missing in cln/lnd that needs fuzzy logic to get better results?
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I don't know. I'm just curious. I do know that channel selection for optimizing routing is sometimes viewed as an art more than a science. LNDg makes suggestions, or the autopilot like Rene Pickhardt's, so I was wondering whether any tools utilizing AI might be in the works.
From Amboss:
using AI-driven insights derived from over five years of network data.
I'm not discounting the possibility that this is just marketing drivel.
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this is just marketing drivel.
Even if they have a massive tensor file with five years of captured data, past performance isn't a guarantee for the future, especially not in a network like LN that has been rapidly evolving over these same five years. Are patterns from early LN still valid? I don't think so, but happy to be proven wrong.
tools utilizing AI might be in the works.
I think that there could be useful scenarios, but remember that LN still has known weaknesses in the channel closure process - which is why you run watchtowers - so you need to make a judgement call every time you open a channel. I'd not leave using judgement to something that literally has no capacity for judgement 1

Footnotes

  1. unless there's nothing at stake for you and losing a couple M sats is a drop in the bucket - a luxury I used to have on testnet3, but not anymore since I gave my testnet sats to a colleague in 2018. ↩
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LQwD announced in 2023 that it was using AI to optimize channel management (link), but provided very few details.
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I think bos is lurking
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288 sats \ 2 replies \ @k00b 31 Jul
afaik machine learning (aka AI) is part of how CashApp is making 10% yield. They have a dedicated team of engineers working on optimizing their node. None of that is open source afaik.
I shared this work-in-progress open source AI node tool awhile ago. I haven't seen much else.
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Thanks for this info. Its what I was looking for.
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Also, I won't name names, but there's a lightning company that released a lightning wallet in the last few years (targeted at latam) that they released for the sole purpose of gathering data that they could use for machine learning purposes.
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Precisely applicable in this case <3
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Routing yield is a hoax. #498580
Some nodes in non-replicable positions, based on their affiliation or proximity to a service and scale do so, but those are the exception. Routing isn't a business, its an extension of a business.
Routing fees in Lightning are simply to make the system work, it is 0 sum... your fees earned offset fees paid.
As a permissionless system that anyone can enter, your dumb capital has no advantage... you'll be blindly hoping to arb something opaque.
So instead of buying a product claiming to give you magic data to direct your dumb and entirely un-special capital, OFFER a product which attracts throughput on your node, the routing fees can then extend your margins on that. Maybe that product is a loss leader in and of itself designed just to generate routing traffic.
Other posts in which I've spoken to this:
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This
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abacus is an autonomous LND agent using Google's Gemini model for tool execution.
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