Вот я бы сделал не как промо статьи, а как нормальный спорный заход для AI-саба — без сильного упора на крипту. Title: Vitalik says “real AI” needs to run across hardware, not just in the cloud. Is that actually realistic? Post: Vitalik Buterin recently made an interesting point: AI that remains entirely inside centralized data centers is still dependent on a few companies controlling the compute. His argument is that genuinely independent AI should eventually run across different kinds of hardware — personal devices, edge nodes, local machines, maybe even smaller embedded systems — rather than always calling a cloud model owned by someone else. I get the privacy and decentralization angle. Local AI agents that do not send everything back to OpenAI, Google or Anthropic sound genuinely useful. But the practical side seems brutal. Running capable models across random hardware means slower inference, fragmented performance, security risks, and a huge optimization problem. Even efficient local models are still nowhere near the convenience of cloud-based systems. So is distributed/local AI actually the long-term direction, or is this one of those ideas that sounds philosophically right but loses immediately on cost and usability? Article for context: https://btcusa.com/vitalik-buterin-says-real-ai-must-run-across-hardware-not-just-in-the-cloud/ submitted by /u/Enough_Angle_7839
Originally posted by u/Enough_Angle_7839 on r/ArtificialInteligence