CoinFund Founder: Anthropic compliance measures highlight the risks of AI centralization; decentralized AI may become an important counterbalance.

Deep Tide TechFlow News, June 14 — CoinFund founder Jake Brukhman recently stated that artificial intelligence models inherently possess strong centralized characteristics, making them more susceptible to regulation and policy control by governments worldwide. He believes that Anthropic’s latest implementation of export control compliance measures further confirms this developmental trend.

Brukhman pointed out that decentralized networks are expected to become an important balancing force in the current AI landscape, and building an open, public, and sovereign decentralized AI ecosystem remains primarily challenged by the organization and utilization of computational resources.

He stated that the market generally believes only large tech companies with trillion-dollar market caps have the capacity to train the most advanced AI models, but in reality, there are already numerous accessible general-purpose GPU computing resources worldwide. The real breakthrough needed is more efficient distributed training algorithms.

Brukhman mentioned that multiple teams, including Gensyn, Prime Intellect, Bagel, Pluralis, Nous Research, Macrocosmos AI, and Covenant AI, are exploring distributed AI training solutions. Although this approach was widely questioned in its early days, practical experience has shown that these technologies are not only feasible but can also achieve near-traditional centralized training efficiency at lower costs in certain scenarios.

Beyond technical challenges, he believes that decentralized AI also needs to address economic sustainability issues. Brukhman stated that while open-source models have driven industry innovation, they lack mature business models in the long term. Some projects are exploring new value distribution systems through model weight sharing and tokenization mechanisms.

Brukhman believes that the AI industry is at a critical development juncture. Whether it moves further toward high centralization with strict regulation or builds a public AI ecosystem based on open networks will have a profound impact on the future development path of the entire industry.