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Outside our little group here no one knows and no one has any chance to know all the things being created on Nostr, and I'm sure there are many folks that would be very interested if they knew. We need more people writing about specific Nostr initiatives, such as the groups subprotocol, the git subprotocol, the community relays, the bunkers, the decentralized app store, the multisig signers, the highlighting, the photo sharing, the very private secure messaging subprotocols, the outbox model, the bluetooth offline inter-device protocol, the decentralized wiki and other stuff. If you know how to write 3 words without asking an AI to generate text for you please do it.

Why? Was your comment ironic and I did not get it. Please explain.

#porn #raped #rape #cp https://96.235421.xyz/74ec28d7b37de9635d1fc16c142b3282d77f4022632583db2ac3b44ce1b1de7f.webm

can recursive decryption reduce dmca complaints and help keep streaming files available? with recursive decryption previously decrypted value is used as key for next decrypt iteration: let decryptKey = hash1 function decryptNextHash(){ const hashEnc = hashesEnc.shift() x = decrypt(hashEnc, decryptKey) } it is not possible to decrypt third part before decrypting second part. to decrypt tenth part, one needs to decrypt 8 parts before that. now if we make descryption so challenging, that for example decrypting 1 minute of video stream takes half minute of cpu time, it massively reduces number of people decrypting these blobs just to complain and try to take them down.

"Ohayo darling! 💕✨" I took some pics in a f4rm and this was the result!💙 I'm in doubt which version of Zero Two I should use in my next photosh00t, do you prefer the classic or the 🐰 version?💕 Originally published in: 2021-09-19

hello 1745413635

how google and cia trains minority report style predictive ai to predict future crimes. its simple. ai learns from examples. this is input to output mapping. these institutions suchs as google collaborating with cia use all the collected interaction data. interaction data consists of input and output. input is the data displayed to the user. output is the interaction, which is next action taken by the user, whether mouse click, mouse move, scroll or text input. google tracks all these interactions. they feed the interaction data which is pairs of input combined to the output. giving enough example training data to a machine learning model, it learns to predict the next output (interaction).

Ok. Maby I have to also start to write some longform articles to figure it out and hopefully find the time to write some python program (since I do not really know an other multiplatform language to code) to create my own client and test concepts.

Ok, so just import every piece of data to a decentralized accessible network without too much duplication, just enough so it doesnt disappear. Blossom is a good candidate for tech.

Midday Mempool Immediate Fee Rate: 4 sat/vByte Hour Fee Rate: 2 sat/vByte Day Fee Rate: 1 sat/vByte Mempool Accept Rate: 1 sat/vByte Mempool Count: 11,755 Block Interval: 9:52