Caught something this morning that feels like one of those quiet inflection points: proof sharding on @inference_labs. Instead of hauling one massive attestation end‑to‑end, the agent emits function‑scoped receipts, each shard verified on its own path. Only when every shard https://t.co/qOWMxrTePM
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Redefining Inference as Verifiable Infrastructure
A largely unexamined assumption in modern AI infrastructure is that inference can remain opaque while systems scale. The industry treats inference as an internal process, auditable by logs, vendors, or regulators after the fact. https://t.co/CDzEuK4AD4
A largely unexamined assumption in modern AI infrastructure is that inference can remain opaque while systems scale. The industry treats inference as an internal process, auditable by logs, vendors, or regulators after the fact. https://t.co/CDzEuK4AD4
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I've been studying Inference Network for a week, and here is what got me interested.
This project is building a decentralized platform for AI inference, where AI results can be verified by anyone without relying on a central authority.
Centralized AI often hides how decisions https://t.co/ck4Wh9gcq3
This project is building a decentralized platform for AI inference, where AI results can be verified by anyone without relying on a central authority.
Centralized AI often hides how decisions https://t.co/ck4Wh9gcq3
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Inference Without Proof Is Not Knowledge
A widely overlooked failure mode in autonomous systems is not model error, but unverifiable inference. When AI decisions control aircraft ground operations, industrial robots, or vehicles, the absence of independent proof does not create https://t.co/AaGAhBwS2c
A widely overlooked failure mode in autonomous systems is not model error, but unverifiable inference. When AI decisions control aircraft ground operations, industrial robots, or vehicles, the absence of independent proof does not create https://t.co/AaGAhBwS2c
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ZK-VIN and EigenLayer: When Verification Becomes Economically Real
Zero-knowledge proofs have promised verifiable AI for years. The math worked. The economics didn’t. Proving inference correctness was simply too slow, too expensive, and too capital-intensive to run in https://t.co/XFXBG5gxXE
Zero-knowledge proofs have promised verifiable AI for years. The math worked. The economics didn’t. Proving inference correctness was simply too slow, too expensive, and too capital-intensive to run in https://t.co/XFXBG5gxXE
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Subnet 2 Omron and the Problem of Verifying AI Execution
Most AI today still runs on trust. You trust that the model you asked for was actually used. That inputs weren’t modified. That outputs weren’t swapped. This works in centralized environments because accountability is https://t.co/kUY9CdLmXh
Most AI today still runs on trust. You trust that the model you asked for was actually used. That inputs weren’t modified. That outputs weren’t swapped. This works in centralized environments because accountability is https://t.co/kUY9CdLmXh
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Inference Labs is building the verification layer for AI in Web3
Not “trust the output prove it
Private inference. Cryptographic guarantees
@inference_labs As AI agents move value and make decisions
verifiable AI becomes non-negotiable
Infrastructure first. Long-term builders. https://t.co/SBrpTrsSi3
Not “trust the output prove it
Private inference. Cryptographic guarantees
@inference_labs As AI agents move value and make decisions
verifiable AI becomes non-negotiable
Infrastructure first. Long-term builders. https://t.co/SBrpTrsSi3
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DSperse changes how inference gets verified.
Full-model verification does not scale. Circuitizing entire networks turns inference into a bottleneck. Proof generation grows non-linearly, memory spikes, and latency escapes production constraints.
The result is verification that https://t.co/rwIW5kxeKs
Full-model verification does not scale. Circuitizing entire networks turns inference into a bottleneck. Proof generation grows non-linearly, memory spikes, and latency escapes production constraints.
The result is verification that https://t.co/rwIW5kxeKs
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Total Members
+ 12
24h Growth
+ 47
7d Growth
Date Members Change
Feb 10, 2026 4.3K +12
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Feb 5, 2026 4.2K +5
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Feb 3, 2026 4.2K +5
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Feb 1, 2026 4.2K +13
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