DIO

Subnet 2: the world's fastest zkML proving cluster on Bittensor, powering Verifiable AI 🧠 🔥 2.2B+ verified proofs on-chain! Empowering builders, agents & inference with verifiable oracles via zero-knowledge circuits. 👇 #zkML #Bittensor #VerifiableAI #Subnet2

Upcoming Space! Set your reminder✈️ x.com/i/spaces/1DxLd…

@UtribeOne Alright

🦋Last week, 388 people joined us to talk about why cross-border payments in Africa are still broken. The conversation was electric. 🔥 Tomorrow, we open the next chapter. 🗓 Thursday 16 July 2026 ⏰ 8:00 PM EAT · 5:00 PM UTC · 6:00 PM WAT 🎙 Gold in the Digital Age: Tokenising Africa's Resources This is the first UTribe Mining Vertical X Space and this one goes deeper than payments. This is about how value is distributed, how money moves, and how Africa's resources can finally work for African people. You want to be in this room. Set your reminder now. 👇 🔗x.com/i/spaces/1DxLd…🎺

@UtribeOne Amazing

@Pillareth LFG

The Subnet 2 just crossed 2.2 Billion verified proofs on chain, the fastest zkML proving cluster on Bittensor, driving Verifiable AI forward, empowering Inference Agents & Builders with verifiable oracles through zero knowledge circuits. #zkML #Bittensor #VerifiableAI #Subnet2

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Subnet 2: the world's fastest zkML proving cluster on Bittensor, powering Verifiable AI 🧠 🔥 2.2B+ verified proofs on-chain! Empowering builders, agents & inference with verifiable oracles via zero-knowledge circuits. 👇 #zkML #Bittensor #VerifiableAI #Subnet2

@inference_labs Pilot theater is fun until legal walks in. If you can’t verify the output, it’s not production-ready. Accountability is the missing link for true enterprise scale.

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.

Transforming high-stakes fields: ✈️ Aviation: Tamper-proof debris & aircraft logs. 🚜 Agtech: Verified crop mapping. ​Deploy secure pipelines at sertn.ai with @inference_labs! ​Deep dive into model slicing & ZK-proofs: DSperse Deep Dive

What are cryptographic proofs? Think of them as an unalterable mathematical notary. They securely link the specific model version, exact input, and final output together. The breakthrough? They are optimized to be ultra-compact (under 500 KB) for real-time verification at scale.

Standard vision networks give you a raw prediction like a bounding box or a classification with zero audit trail. If it fails, there's no way to verify the path it took. Sertn is the only solution that attaches cryptographic proof to every single prediction.

That’s where Sertn comes in. It’s a platform built to establish mathematical trust in machine learning through Proof of Inference™. Instead of blindly assuming a vision model executed correctly or hasn't been quietly modified, Sertn cryptographically proves its integrity.

AI computer vision is expanding rapidly, but pushing models into production within heavily regulated, multi-stakeholder environments faces a massive bottleneck. How do you audit black-box predictions when safety, compliance, and strict liability are on the line?

1/ AI-driven science is not just about making research faster. The more interesting shift is that models are starting to become part of the reasoning environment itself, helping decide what gets tested, what gets ignored, and what becomes “promising” enough to pursue.

@inference_labs I'm really happy and anticipating what's coming next #AI #Inference

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