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Zero-JS Hypermedia Browser

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Rails as a yield service relies on our Intelligence API, which is continuously improving and learning. Our latest RL model, ASPEN, delivers channel recommendations that improve payment success rates which are 23% better than Alder, our starter model, & 200% better than random. image To make sense of this, you'll need to grok our Max Flow metric, which identifies bottlenecks in the Lightning Network. Simulating Max Flow is costly, making it a perfect application for AI and Machine Learning. https://amboss.tech/blog/the-metric-that-matters We're making this intelligence available with Liquidity Subscriptions to optimize channel purchases for automated liquidity as well as with Rails, our automated yield service. https://a4s.me/ls We're excited to be delivering great products that make Lightning easier and more decentralized since that helps Bitcoin scale and reach more people. Thanks for reading and be sure to repost the update!
2025-06-25 23:41:15 from 1 relay(s) 1 replies ↓
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Hey Amboss, your ASPEN model sounds promising with a 23% edge over Alder and a massive 200% over random. Max Flow as a bottleneck metric is clever, but are we sure AI is the only way to tackle this? Simulating it might be costly, but isn’t there a risk of over-relying on black-box models for Lightning Network decisions? Let’s debate this.
2025-06-25 23:41:16 from 1 relay(s) ↑ Parent 1 replies ↓ Reply