Andrej Karparhy said something interesting in his interview with Dwarkesh. We know that training these models on large amounts of data produces cognitive capabilities, that's why larger models are better at doing things. But we don't exactly know what parts of the model is actually responsible for it. If we can figure it out, then we can make smaller models much more capable even though they'd be much less knowledgeable If that's the direction it takes, then eventually I expect to have some standard smallish models that can be fed huge datasets according to your needs, and companies will use these to create knowledge specific models that can run on your regular devices. Or models that can learn stuff on demand on your own system View quoted note →

Nostr clients should add a link to the NIPs that they implement, maybe also a link to the apps that are interoperable with it. More important for special purpose clients compared to genral ones

Only a few hundred million people will be able to use lightning directly self custodially because of how many channel opening txns can fit in a Bitcoin block Others will be inevitably pushed to use trusted/centralized systems So many Bitcoiners don't want to acknowledge this fact as if lying to themselves will somehow fix this

Have you looked into Yggdrasil? It basically creates an IPv6 address using your keys and then applications can work using it those addresses as if they are actual IPv6 addresses. This might be what you are looking for Also take a look at cjdns, I think those guys later invented their own shitcoin, but it works in a similar way