The interesting about @Keryx_Labs is how it approaches AI mining. Normally, mining is about proving computational work, Keryx takes a different route with Proof-of-Model (PoM), where miners must prove they actually hold the AI model weights in their GPU memory. Why does that matter? Because the goal isn't just to secure a network, It's to connect the work miners do with the infrastructure needed to run AI models, that creates an interesting possibility, a network where mining and AI inference are part of the same system, rather than two separate operations. Decentralized AI is more than making models accessible. It's also about rethinking the infrastructure behind them.

Most blockchain miners compete using computational power. @Keryx_Labs Labs is taking a different approach with Proof-of-Model (PoM). The idea is to make AI model weights part of the mining process itself. A GPU miner must hold the model weights in memory and perform a proof that depends on those weights. The network can then verify the proof as part of block validation. Why does this matter? Because the hardware securing the network is also equipped to serve AI inference requests using the model it holds, that creates a direct connection between three things: .AI model storage .GPU mining .Decentralized AI inference The key distinction... PoM proves model possession, not that every AI-generated answer is correct. That separation matters when evaluating the architecture. Keryx is exploring how blockchain consensus and AI infrastructure can share the same underlying resource instead of operating as completely separate systems. An interesting design choice worth watching.