Ejaaz Ahamadeen，圈内人称cryptopunk7213，是26 Crypto Capital基金的掌门人，专注于加密货币与人工智能的交叉领域投资。他曾在ConsenSys和Coinbase两大巨头身经百战，如今也是Aiccelerate DAO的积极贡献者，致力于推动去中心化AI的创新与发展。
查看项目官方Twitter发布的推文
@cryptopunk7213 @cryptopunk7213 Spot on! The fusion of traditional AI expertise with crypto-native innovation is where the magic happens. Projects like Bittensor subnets, DeAI training teams, and the Agent Protocol are leading the charge in this space.
说到点子上了！传统AI专业知识和加密原生创新的融合正是魔力所在。像Bittensor子网、DeAI训练团队和Agent Protocol这样的项目正在这一领域引领潮流。
The biggest arb right now is finding teams / tokens who are *successfully* merging trad AI chads with cracked crypto natives. Thats where the next opportunity lies. Only a few teams / ecos that hit this bar atm. See Bittensor subnets, DeAI training teams & the Agent protocol teams focused on enabling the app services layer (eg arc, Virtuals) For those arguing “it’s pumping because mc is so low” Virtuals added $300M to its mc this week alone. others are much lower, I’m not disagreeing, & they’ll likely never recover But the ones locked in at the intersection of trad AI and crypto will do well imo when market trend confirms bullish. AI still the #1 crypto narrative trend.
目前最大的套利机会是找到那些*成功*将传统AI大佬与狂热加密原生者融合的团队/代币。这就是下一个机会所在。目前只有少数团队/生态系统达到了这个标准。看看Bittensor子网、DeAI训练团队以及专注于应用服务层的Agent协议团队（例如arc、Virtuals）。对于那些认为‘它上涨是因为市值太低’的人，Virtuals仅本周就增加了3亿美元的市值。其他的市值更低，我不否认，而且它们可能永远不会恢复。但我认为，那些锁定在传统AI和加密交叉领域的项目在市场趋势确认看涨时会表现良好。AI仍然是加密领域的头号叙事趋势。
theres like a billion things going on in the Bittensor ecosystem (tbh it's kinda hard to track) but something worth calling out imo Subnet 56 (Gradients) decentralized miners are beating centralized AutoML platforms at training AI models. Why it matters: Decentralized Efficiency: Anyone can tap into Gradients' network to train models, opening up ML to everyone. Performance Proof: Decentralized miners have surpassed centralized AutoML benchmarks, proving decentralization isn't just some theoretical whitepaper - it's practical & working.
Bittensor生态系统中发生了无数的事情（老实说，有点难以追踪）。但我觉得有件事值得一提：Subnet 56（Gradients）的去中心化矿工在训练AI模型方面击败了中心化的AutoML平台。为什么这很重要：去中心化效率：任何人都可以利用Gradients的网络来训练模型，向所有人开放机器学习。性能证明：去中心化矿工已经超越了中心化AutoML的基准，证明去中心化不仅仅是理论上的白皮书——它是实用且有效的。