Been digging into Dolphin / $POD a bit. I think I'm really getting pilled on the AI + privacy + uncensored play here along with the integration of DePin which I always thought was a fascinating crypto use case. Dolphin already has great distro... Their models are actually being used. Dolphin Mistral 24B Venice Edition is the default uncensored model for Venice, and the broader Dolphin ecosystem is doing millions of monthly Hugging Face downloads. That is not revenue by itself. But in AI x crypto, distribution is usually the hardest part. $POD is the attempt to turn that distribution into a compute network. How it works (also visualized) - GPU owners run nodes - nodes serve inference / synthetic data workloads - node providers earn $POD based on relative contribution - users/apps eventually pay for inference - network revenue is supposed to flow back into the token through buy pressure / buybacks The first reward epoch was small - 50K $POD paid out to 33 node providers. Although small, it shows the incentive loop is there. The bull case is pretty straightforward: Dolphin has open-source model distribution. > The network creates a way to route that demand through idle GPUs > $POD becomes the economic layer connecting model usage, compute supply, and inference demand. Dolphin is interesting because there is a path from actual model usage → inference demand → node rewards → token value capture. Still early, obviously. But if they can turn existing model distribution into real paid inference demand, $POD becomes the incentive layer for a decentralized inference network that already has a reason to exist.