Testing ghostr
Basanta Goswami
basantagoswami@unsigned.in
npub1gmm2...daz2
bitcoiner • অসমীয়া
○ working on bitcoin stuff @ bullbitcoin.com
○ building other freedom tech stuff @ unsigned.in
○ teaching bitcoin @ xonghoti.com
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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