According to @nansen_ai, smart money sees this $POD dip as a huge opportunity, as they've been accumulating at an alarming rate ($400K in the last 30 days).

@dphnAI is building a decentralized AI infrastructure on Base.
In very simple terms, it takes idle GPUs, and connects them into a distributed network that can process AI workloads and inference requests. Node operators contribute their computing power, and the network sends jobs to whichever machines are available. The result is a flexible, easy-to-scale system that participants can earn from.
So far, their progress has been impressive:
🔸 Processing 60,000+ AI prompts every hour
🔸 Over 3.2B inference tokens generated across the network
🔸 5M+ monthly downloads across Dolphin AI models
🔸 Powers the default uncensored model on $VVV
🔸 V2 Mainnet is already live and processing real workloads
🔸 AI inference costs are reportedly ~30% cheaper than leading aggregators
🔸 Only ~45M of the 500M supply is circulating (~9%)
🔸 Node operators must bond/stake POD, reducing available supply
🔸 100% of network revenue is used for $POD buybacks
🔸 Nearly 2,000 holders, ~$2.2M liquidity, and ~$2.1M weekly trading volume.
They've created a loop where more users → more inference requests → more network revenue → more buybacks.
Can't say for sure, but maybe this is why smart money has been loading up. Maybe they know something we don't.
What I know is, AI remains one of the strongest narratives in crypto, and @base continues attracting builders.
And $POD is actively shipping at the intersection of these two.