But that's (one of) the tricky part(s) of cashu right now, right? Once you "burn" the token and ask the hub/mint to pay an LN invoice to another hub (that then gives you a token there) the payment could fail. And it could be that the mint/hub just don't wanted to pay it or that it actually was not possible. Could it be made atomic with lichen? Or is the swap not through regular lightning but through lichen instead somehow? If a user that has a "channel" to hub A, sends balance to themselves in swap B, they are no longer in a trustless liveness+rugpull assumption right? Disclaimer: I have not finish reading the paper dratf yet.

Meta TRIBE v2: predict human neural activity response to multimedia stimuli https://ai.meta.com/blog/tribe-v2-brain-predictive-foundation-model/ https://stacker.news/items/1594536

Depends on your threat model, but there are many caveats to using LN for privacy: https://stacker.news/items/1562360/r/m0wer

https://x.com/MagicalTux/status/2108556423445835827

anthropics/oss-scanner https://github.com/anthropics/oss-scanner OSS Scanner is a service by Anthropic to scan critical open-source repositories for security vulnerabilities. https://stacker.news/items/1591949

> Bitcoin is designed to operate without permission from any authority. Its value proposition is entirely based on this property. > The security of Bitcoin does not extend to white market systems. Any system dependent upon the value proposition of Bitcoin must also be black market. “Cryptoeconomics: Fundamental Principles of Bitcoin”, Eric Voskuil.

That BTC won't break in a few years.. Don't want to get into the Monero vs Bitcoin discussion because I've tried that in the past and it doesn't help anyone. If Monero is useful for you, you should use it.

wanna bet?

nothing

Open-weight models are winning. Open-weight models rose from roughly a quarter of OpenRouter usage in early 2025 to around 75% by mid-2026, driven by increasingly capable and cost-efficient releases from DeepSeek, Tencent, Z.ai and others. Closed labs responded aggressively, most notably with GPT-5.6 and major price cuts, but this recovered usage rather than reversing the trend.