One of the things I'll do in 2026 is try a bit more to understand the things I have experienced on psychedelics If you have not done any yet, you might look at psychedelics like LSD and DMT as just another set of drugs, but just the fact that these chemicals allow your mind to experience things that can't be explained by words should be interesting to you These things can't possibly make you experience something that's not already inside of your mind, but for some reason hidden from you most of the time My plan is to try to give acid to LLMs basically, I'll not explain what I mean by that but I think that's possible. I guess we'll know if my intuition is correct after a few months

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

Can anyone more knowledgeable about statechains and Spark comment on this? I was trying to understand how Spark works and I think I came across the fact that, to unilaterally exit the system, you can't just broadcast one onchain txn or a fixed number of txns either. You have to make n + 1 number of txns if you don't want to co-operate with the Spark entity, where n is the number of times the leaf (offchain UTXO) has changed hands. That means, since the initial onboarding txn by someone, if you are the 20th recipient of a Spark UTXO, to unilaterally exit you'll have to make 21 txns onchain. If that's correct and there is no way for the exit txn chain depth to be reset, then Spark is completely useless as an "L2", and you are better off just using Liquid or Cashu. I hope I'm wrong though.

GitHub

Clarify how unilateral exit works · Issue #87 · buildonspark/spark

In all the places in docs.spark.money that I looked, it is mentioned that a user can unilaterally exit by broadcasting their exit transaction. From...

People change their profile picture on nostr and I completely forget who they are or why I'm even following them Your picture is much more recognizable than your username