Most people see AI as a simple conversation. You type a prompt, get an answer, and move on. But have you ever stopped to think about what happens behind that response? There’s a model that needs to run, GPU power doing the heavy lifting, and infrastructure responsible for processing your request and returning an answer. That’s the part of AI I wanted to highlight in this video about @Keryx_Labs . Keryx is exploring how AI inference can work within blockchain infrastructure, and a few things about the approach caught my attention. >Encrypted inference: AI requests can contain sensitive information. Keryx is working on protecting prompts and responses through encryption, so the readable conversation isn't simply exposed on-chain. That doesn't mean every piece of transaction metadata is private, but it's an important distinction when discussing privacy. > Proof-of-Model: Instead of simply taking a miner's word for which model it holds, the idea is to provide a way to verify model possession. That's different from proving that every answer the model generates is correct. > Miner accountability: Service-bond mechanisms are designed to give miners an incentive to fulfill their responsibilities instead of accepting requests and failing to serve them. These are important challenges when you're trying to connect AI computation with decentralized infrastructure. Having GPUs is one thing. Building a system around privacy, verification, and reliable service is another. Of course, the real test is how these mechanisms perform as the network develops. There’s still a lot to prove, and I think that’s exactly why it's worth paying attention to the technical details rather than just the narrative. I made this video to help explain what happens behind the AI response and what @Keryx_Labs is trying to build. AI is more than the answer you see. The infrastructure behind it matters too. Still early. Still watching the progress. Follow @Keryx_Labs and stay active for more information.

Decentralized AI needs more than GPUs. It needs verification and accountability. That’s what interests me about @Keryx_Labs . Proof-of-Model helps verify model possession, while service bonds encourage miners to fulfill requests. Still a lot to prove as the network grows.

We're just getting started. @Keryx_Labs has come to stay 😊

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I decided to go beyond tweets and make a video about what @Keryx_Labs is building. Keryx is bringing AI inference to blockchain infrastructure, with encrypted inference and Proof-of-Model at the core. Still early, still more to prove. follow @Keryx_Labs

Here's a distinction in decentralized AI that I think deserves more attention. Proving a miner holds an AI model is one challenge. Proving that a specific response actually came from that model is another. That's the difference between Proof-of-Model and verifiable inference. @Keryx_Labs uses Proof-of-Model to tie mining to the model weights a miner holds, rather than relying on a simple claim of ownership. But that alone doesn't prove how a particular answer was generated. Verifiable inference aims to address that next challenge, and Keryx lists it as work in progress. It's an important step toward making decentralized AI more accountable. The interesting part isn't just getting an answer. It's understanding what the network can actually prove about it. Still watching how @Keryx_Labs develops.