AI is quickly becoming commoditized.The next wave of AI products won’t stand out because they have the largest models they’ll stand out because users can verify how decisions were made.Transparent, auditable AI may soon shift from a competitive advantage to a baseline expectation
AI is quickly becoming commoditized.The next wave of AI products won’t stand out because they have the largest models they’ll stand out because users can verify how decisions were made.Transparent, auditable AI may soon shift from a competitive advantage to a baseline expectation
Subnet 2 has surpassed 2.2 billion verified proofs on-chain, proving Verifiable AI can scale. As the fastest zkML cluster on Bittensor, it empowers inference, agents, and builders with verifiable oracles powered by zero-knowledge circuits. #zkML#Bittensor#VerifiableAI#Subnet2
Subnet 2 has surpassed 2.2 billion verified proofs on-chain, proving Verifiable AI can scale. As the fastest zkML cluster on Bittensor, it empowers inference, agents, and builders with verifiable oracles powered by zero-knowledge circuits. #zkML#Bittensor#VerifiableAI#Subnet2
As we get ready for the beginning of our May quests tomorrow (l!nk below)...
Let's take a second to recognize our mods and https://t.co/pyBlabg5wH ambassadors who make our community a fair and safe space. Here's for all their hardworks!
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From civil aviation to industrial manufacturing and agriculture, verifiable AI can improve compliance, accountability, and trust in automated decisions. This is a major step toward transparent AI.
@SertnAI 🌐 https://t.co/OoDRPAvt5s
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AI adoption in regulated industries isn’t just about accuracy anymore—it’s about trust. When multiple stakeholders rely on the same model, every prediction needs to be verifiable, not just accepted at face value.
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Think of cryptographic proofs as mathematical receipts. They securely link the model version, input, and output into a tamper-resistant record. Even better, they’re highly optimized—typically under 500 KB—making them practical to store and share.
Why prove an entire monolithic model when you can slice it instead? 🍰 DSperse eliminates the heavy zkML latency bottleneck, making verifiable AI faster and more practical. @inferencelab
Why prove the entire monolithic model when you can just slice it? 🍰 Heavy zkML latency is a thing of the past. DSperse is the real game-changer for verifiable AI! @inferencelabs
Reporting from duty, Seeing Subnet 2 evolve into DSperse proves that Bittensor subnets are true incubators for standalone protocols. You’ve graduated from a subnet to a foundational layer of the decentralized web.
Reporting from duty, Seeing Subnet 2 evolve into DSperse proves that Bittensor subnets are true incubators for standalone protocols. You’ve graduated from a subnet to a foundational layer of the decentralized web.
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.
🚀 We’re excited to launch a brand-new #Zealy campaign with MASSIVE rewards!
🔥 Complete quests, earn points, and climb the leaderboard as we push $PROPS to the NEXT LEVEL together.
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💡 Engage, contribute, and get rewarded for being part of the Propbase ecosystem.
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