Been digging into @mira_network for a few days now and wanted to share what I've found so far.
The part that actually surprised me is that Mira isn't trying to build another AI model. The space is already crowded with GPT, Llama, Claude and all the others. Instead they built a verification layer that checks if what AI says is actually true.
Here's how it works from what I understand: When an AI gives an output, Mira breaks it into tiny individual claims. Then those claims get sent to multiple different AI models running on a distributed network. If enough models agree, it passes. If they disagree, it gets flagged. The nodes doing this verification have to stake $MIRA tokens, so cheating means losing money. Clever design.
What makes this interesting is the numbers I found. The network processes billions of tokens daily across apps like Klok which apparently has over 500k users. There's also Learnrite using it for education stuff and Delphi Oracle for research. These aren't just promises—they're live right now.
The tokenomics side also caught my attention. $$MIRA sn't just for staking. It's actually used to pay for AI verification API calls. Every time someone uses the network to verify something, tokens get consumed. More usage means more demand. That's a real use case, not just speculation.
I also read about the RWA (real-world asset) stuff they're working on. Helping traditional businesses raise funds through blockchain with transparency. Kind of a different direction but shows they're thinking beyond just AI.
Still early and still learning but this feels different from typical hype projects. Anyone else here been following longer? What am I missing?