another great article!
for those who missed the last one: #122005
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I did, thanks!
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This whitepaper is going down as an all time classic. But then again I'm biased because I've been thinking about it for awhile...
First, LightningAPI's for AI services is the definitive answer to the objection "What can you even buy with bitcoin?" Similar to SilkRoad days, the main thing people will want sats for, is things you can only buy with sats. And since OpenAI, Microsoft et al. will be pressured by their compliance departments, the most powerful and most creative uses will be open source, but difficult to run for the average users (software skills, access to hardware), thus lightning-AI.
A couple of overlooked ideas in the thesis for serving models:
  • EC2 for GPUs - Generative AI artists have highly variable demand for image generation: sometimes they want access to multiple GPU's at once to generate a bunch of different draft images or render frames in a video, and sometimes they are doing just touch-up and paying for full use of even 1 GPU is overkill. Existing services (or self-service) will not allow you to both pay-per-use and scale up to multiple processing units on-demand.
  • This brings up another intriguing idea...the AirBNB GPU strategy, buy to fulfill your own need but also to rent spare capacity. This strategy was mentioned yesterday by GeoHot for his new AI server which have "FLOPcoin" apparently
    .
  • Etsy for Models - Currently there's not a great way to monetize a fine tuned model, if you check out civit.ai people are uploading their stable diffusion models simply for clout. With a strong financial incentive, this could supercharge this space, and give the most succeful fine tuners ways to invest into more serious training runs.
Maybe most exciting for the average StackerNews reader is potential for the much awaited bitcoin circular economy: Artists use sats to pay for gpu cycles, gpu suppliers use these sats to buy more servers/models/gpus, and Artists use the images they create to collect more sats from fans/customers. None of these participants even have to like bitcoin, just recognize it's the mana that ties this decentralized ecosystem together.
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Class writing, Max
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The author is optimistic about the future of AI, but concerned about the power held by large corporations and governments. They propose a decentralized hivemind of both machine and human intelligences to combat this issue. The author believes open source models will be the ultimate winners and has invested in Bitcoin, Lightning Network, and Nostr to provide the necessary infrastructure for AI development. Federated model training and serving can be achieved through Lightning Network payments, which allow for instant, global, and real-time settlements. Nostr's open and flexible protocol for data and communications can solve problems caused by training foundation models on incorrect data. Lightning payments also provide protection against payment fraud and chargebacks, which can help prevent machines from accidentally harming humans. Overall, the author believes that the convergence of Lightning, Nostr, and open source AI are happening much faster than expected.
autonote from dev: the input text for this summary had to be modified for ChatGPT to summarize it.
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can we build a p2p llm that uses zaps to interact with it? I think all these left over miners could put their gpus to use again.
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You start to sound like a bot Darth
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Can we get an AI to mute these kinds of posts?
Darth focus on what you're good at
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Darth focus on what you're good at
Exactly that I am good at: bullshit detecting and calling it out.
So please make stop all these posts about AI. BTW, I paid the sats for posting that reply, as the OP did also.
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Me or all those posting only about AI and shitcoins?
This world deserve to be wiped by AI. People are begging to be fucked by AI.
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Fuck people who can’t leverage the usefulness of inevitable technological progress
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inevitable technological progress
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Nostr isnt neutral. YOu can be blocked by others and your notes will be effectively censored.
𝐇𝗼𝐰𝐝𝐲 𝐝𝗼 ? 🀠 πŸ‘‹
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