📡 Cipher Signal #002 UPDATE — @Keryx_Labs is getting interesting. One thing caught my attention: #DeepSeek V4-Flash, a 79 GiB model, reportedly answered its first prompt on Keryx testnet using 6 consumer GPUs across 4 countries. No single card could hold the whole model. That's a genuinely exciting experiment. Not because it proves distributed AI is solved - it doesn't - but because it shows what #Keryx is trying to build: independent miners contributing to a much larger inference pipeline. And honestly, this is the kind of idea that got me interested in crypto in the first place. Not another token with a clever slogan, but a network trying to make its infrastructure do something useful. Then came H14, bringing encrypted inference to mainnet. Requests and answers are sealed, responses are recorded directly on-chain, and pricing is fixed per model rather than growing with every chunk of generated text. What interests me even more is the shift from a mining experiment toward an actual AI service. Private conversations, predictable pricing, and AI features like chat memory and web search make $Keryx feel less like a technical demonstration and more like something people might actually want to use. That's an important step. Building infrastructure is one thing. Making it useful to someone outside the mining community is another. I also like what I'm seeing from the team. Open-source releases, fixes for specific models, improvements to inference reliability, and performance optimizations. Not the glamorous stuff. Just the kind of work that matters when real hardware meets real software. And that's what I respect about #Keryx: the ambition is backed by actual engineering. Of course, distributed inference still has hard problems to solve. Network latency, unreliable shards, hardware limitations, and miner economics won't disappear just because the idea sounds good. But I'd rather follow a team working through those challenges than another project promising to revolutionize everything before building anything useful. The next challenge is simple to describe and much harder to solve: give people a reason to return, pay for inference, and keep miners profitable without depending on speculation. That's the difference between a promising protocol and a lasting network. I've been in crypto since 2013. I've seen enough cycles to know that enthusiasm is easy, execution is harder, and sustainable demand is the real test. But I'll say this: I genuinely like what this team is building. And that's not something I say about many crypto projects anymore. The combination of Proof-of-Model, decentralized AI infrastructure, and private on-chain inference is ambitious, technically distinctive, and worth following closely. I'm not calling victory early. I'm here because I see potential - and I want to see how far this team can take it. If #AI is smart enough to answer our questions, let's see if the economics are smart enough to pay the miners. 😏 Signal, not hype. DYOR. 🧠⟁ @Keryx_Labs @inference_labs @colingagich @KeithSingery @fish_datura #Keryx #KRX #DeAI #DecentralizedAI #ProofOfModel #GPUCompute #AIInfrastructure #CipherMonk