[Jake Brukhman: Decentralized AI is a Counterbalance to Centralization Risks] CoinFund founder Jake Brukhman stated that AI models exhibit centralized characteristics, and Anthropic's implementation of export control compliance measures confirms this trend. Jake Brukhman believes that decentralized networks are an important balancing force in the AI landscape. The technical challenge of building a decentralized AI ecosystem lies in the organization and utilization of computational resources. The market assumes that only large tech companies with a market cap of $1 trillion can train advanced AI models, but there is a vast amount of general-purpose GPU computing power globally, requiring breakthroughs in distributed training algorithms. Teams such as Gensyn, Prime Intellect, Bagel, Pluralis, Nous Research, Macrocosmos AI, and Covenant AI are exploring distributed AI training solutions, with related technologies proving feasible and more cost-effective. Jake Brukhman noted that decentralized AI must address the challenge of economic sustainability, with some projects exploring value distribution systems through model weight sharing and tokenization mechanisms.