Hello @Gata_xyz fams
Gata is not just another AI project it’s building a decentralized AI supercomputer.
Focused on privacy, scalability & rewards.
With tokenomics designed for long-term growth, $GATA is set to empower users & builders alike.
@Galxe
Inference Labs is building the verification layer for AI.
@inference_labs AI outputs you can prove, not just trust.
Private inference. Cryptographic guarantees.
Built for AI agents, DeFi, and on-chain automation.
- @inference_labs feels like a shift from “trust the model” to “verify the behavior.” The more people engage, the sharper and safer it gets. That feedback loop is rare and exactly how AI should grow in a decentralized world.
season 2 is a fresh slate
@inference_labs just dropped the digital twin feature on truthtensor. it’s not just an ai; it generates an agent that mirrors your vibe from bitcoin maxi to trade accordingly.
now we chase the 14-day sprint.
season 2 is a fresh slate.
@inference_labs just dropped the digital twin feature on truth tensor.
it’s not just an ai;
it generates an agent that mirrors your vibe from bitcoin maxi to trade accordingly.
now we chase the 14-day sprint.
Inference Labs is solving a real problem
AI on-chain isn’t just about hype
it’s about verifiable inference and trust.
@inference_labs is building the layer where
models are provable, outputs are auditable and AI finally becomes crypto-native
This is how AI ×DeFi actually scales.
AI intelligence can now be trusted with strong evidence as the foundation of that trust.
@inference_labs is becoming an important part of the finance, robotics, and autonomous intelligence industries, where verification and proof are really needed.
Inference Labs is quietly solving a big problem in AI
Verifiable inference.
Transparent execution.
No more black-box models.
If AI is going on-chain, this is the kind of infrastructure it needs.
Keep an eye on @inference_labs
AI is built on data
The problem? Big players take it, use it, and profit while you get nothing.
@Gata_xyz flips the script: you own, validate, and earn from the data that trains AI.
Simple, fair, and community powered
Bottlenecks shift to how requests route, tokens move, and tasks run in parallel without blocking each other.
@inference_labs focuses on the inference flow itself, smoothing request routing, token handling, and staged verification so tasks do not fight for resources.
Targeted verification helps focus trust on high-risk computations without blowing up compute overhead. This approach feels like moving from blanket verification to strategy-first assurance.
A big step toward real-world verifiable AI. @inference_labs
verifiable inference attaches a cryptographic receipt to an output, so decisions become auditable before you act.
@inference_labs is building that plumbing with modular zkml, slice based proofs, and staged verification to keep internals private but results provable.
Last Saturday in December
So let's see that August dump
But make it about your "lil wins"
And for my @Gata_xyz believers add your DVA wins or any milestone you crossed this month on Gata
Proof of Inference is designed for cross ecosystem use, enabling verification across networks and subnets.
@inference_labs is running zkML in production with Subnet 2 and practical circuit optimizations.
A modular proving toolchain.
Today’s zkML proves MNIST; the next goal is proving live autonomous decisions.
The gap isn’t feasibility but structure, monolithic proofs don’t scale in real environments.
@inference_labs shows a practical path forward with modular proof patterns and staged proving.