Report of AI use cases in Crypto
Its going to be 3x current load, and I think that 3x number probably happens around 2045ish. The one thing about exponential growth is it really is counterintuitive and underestimated. The demand side of the equation is obvious, but the less obvious driver of crypto energy networks is the rapid decentralization of the grid. Solar and batteries are pushing energy supply to the edge and into the hands of individuals. Just like most families own a computer today, they will soon own a solar panel and battery. This will allow millions of people to earn money off the grid. Its a similar model to crypto. A bunch of decentralized, self-interested actors contributing to a shared (energy) network. The network can denominate commerce in any currency, even sacrilegious fiat. But crypto is uniquely suited to catalyze a decentralized energy network because 23 of the novel distribution it enables. A crypto project can reward early participants
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To crypto natives, this may seem obvious, but token incentives represent a step change in distribution. Heliums nationwide $20/month mobile plan has significantly derisked DePIN and answered the is it possible question. Now, its just a matter of scaling these networks up. We have yet to see many crypto projects solve for the energy grid, perhaps due to byzantine regulation or the infancy of solar and batteries. But it remains a promising area where crypto can uniquely activate new electricity to feed these voracious LLMs. onemeg The next input to LLMs chips is perhaps the most developed area of the 24 nascent AI x crypto overlap. The thesis here is simple: AI researchers cant get their hands on enough GPUs. One way to service this insane demand is to
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Enter DePIN projects like Akash, Gensyn, Io.net, and others. These players arent a monolith they are competing in slightly different verticals. But at the end of the day, they are all trying to push more chips into a starved market. Galaxy Research Decentralized compute platforms unlock new supply by letting anyone worldwide contribute to the network. The potential here is clear but so are the challenges. These platforms compete with juggernauts like AWS and Azure on economies of scale. And even if they do manage to undercut these centralized behemoths, cost is not always the main demand driver. Most long-tail AI training jobs i.e. guys in garages, not OpenAI just want convenience and low complexity. Historically, crypto has struggled to execute on those fronts. Whether a DePIN project can match web2 latency and UX remains to be seen. LAMBDA LABS IS A GREAT PRODUCT JUST GIVE ME A CHEAP SERVER WITH A MONSTER GPU AND GOOD UP TIME
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HOLY SHIT!!!!!!!!!!!!!!!! IT LITERALLY DOES WHAT IT SAYS ON THE TIN kache (sponsored by dingboard) (yacineMTB) February 18, 2024 Data is the third and final input to compute. Technically, you dont need data for 25 compute. As long as you have chips + electricity, you have compute. But without data, compute is useless like a sail with no wind. Ark Invest Data is the most nebulous of the three inputs because its the least fungible. AI firms consider data a trade secret, and its why unnamed buyers are shelling out
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