Exploring Subnet 2 has offered an exciting look at the future of Verifiable AI. Reaching over 2.2B verified on-chain proofs is a remarkable milestone for the ecosystem.
#zkML#Bittensor#VerifiableAI#Subnet2
📍Exploring Subnet 2 has been an exciting glimpse into the future of Verifiable AI. Surpassing 2.2B+ verified on-chain proofs marks a significant milestone for the ecosystem.
#zkML#Bittensor#VerifiableAI#Subnet2
With zero-knowledge-powered verifiable oracles, Subnet 2 is enabling developers to build AI systems that are transparent, trustworthy, and cryptographically verifiable.
📍Exploring Subnet 2 has been an exciting glimpse into the future of Verifiable AI. Surpassing 2.2B+ verified on-chain proofs marks a significant milestone for the ecosystem.
#zkML#Bittensor#VerifiableAI#Subnet2
Reporting for duty.
Without cryptographic proofs of what model ran, on which weights, and with what inputs, we’re building powerful agents we can’t audit when things go wrong. Proof of Inference isthe trust layer autonomous systems actually need.
Verifiability > blind trust.
This weeks Livestream report will be on Friday, July 17, 2026 here on X, LinkedIn, Facebook & YouTube!
https://t.co/kil40IAqQR
We will also be hosting our weekly Game Day live with our Grand Championship Round! This will be a don't miss live event!
Calendar it today and LFG!
Enterprise AI is moving past pilot theater. The harder phase is production, where outputs affect workflows, audits, contracts, and operational decisions.
Sertn is built for that layer: not just running AI, but preserving verifiable records of what happened.
@inference_labs Production AI demands more than strong model performance— it requires traceability, accountability, and verifiable records.
That’s what helps organizations trust AI in critical workflows and real-world operations.
🤝
BitGo regulated qualified custody and Temple Digital Group financial market infrastructure, making it easier for institutions to access in tokenized markets on Canton.
📍AI models keep getting more capable, but capability alone doesn’t create trust. Verifiable AI adds the proof needed to make every inference transparent and independently verifiable.
@inference_labs#VerifiableAI#ProofOfInference
Verifiable AI can transform accountability in industries like aviation and manufacturing, bringing greater trust, transparency, and compliance to every critical decision. @SertnAI
https://t.co/yJKBTEKria
📍 In regulated industries, AI success depends on trust as much as accuracy.
https://t.co/yJKBTEKria
Every decision should be traceable, verifiable, and backed by proof— not just a prediction.
Cryptographic proofs are secure mathematical receipts, linking the model, input, and output into a tamper-evident record. Compact enough for real-world use, they make AI decisions easy to verify.