I came across an article by Dr. Max Li talking about how AI could face big issues in 2025 if everything stays too centralized. He suggests decentralizing AI by using blockchain or other distributed networks to reduce risks and make things more transparent.
What do you all think? Does this sound realistic, or is it just hype?
I don’t think it’s practical. The cost of training these massive models is way too high for most companies, and we’re already short on GPUs. The whole system is bottlenecked by supply.
Jaden said:
I don’t think it’s practical. The cost of training these massive models is way too high for most companies, and we’re already short on GPUs. The whole system is bottlenecked by supply.
Fair point, but wouldn’t a decentralized setup let GPU owners rent out their hardware and make money?
@Ash
Not really. Most consumer GPUs aren’t powerful enough for serious AI training. Even for high-end server farms, the demand is way higher than supply, which keeps prices high. That’s why companies like Nvidia and OpenAI dominate the space—they’ve locked in those resources.
We’ll probably see both centralized and decentralized AI systems competing. Decentralization makes sense, but we need a cost-effective way to do it first.
Fallon said:
We’ll probably see both centralized and decentralized AI systems competing. Decentralization makes sense, but we need a cost-effective way to do it first.
Good point. It does seem like both systems will have their strengths.