A new IETF draft separates AI provenance into who acted, what was intended, and how the computation happened.
That last piece matters.
If an output is consequential, enterprises increasingly need evidence of the actual inference path, not just its final result.
LynxCap offers a fixed 10% APR on USDC funded by cash recoveries on European real-estate-secured debt — not token emissions. Real yield, real assets.
https://t.co/PUxnMmq7Dz
@inference_labs This is why looking at the model price alone can be misleading. One task can trigger so many extra calls before the agent is actually done.
AI is now finding cybersecurity weaknesses faster than some financial firms can remediate them.
That flips the bottleneck.
Detection becomes abundant. Prioritization, evidence, and deciding which machine-generated findings deserve action become scarce.
AI safety can’t rely on promises alone. As AI gets smarter, we need to verify what it actually does.
Verifiable AI gives us proof instead of blind trust, which makes Proof of Inference so important. #VerifiableAI#PacingTheFrontier#ProofOfInference#AISafety#AI
@inference_labs The volume of findings can quickly become its own problem. If you can’t separate the critical issues from the noise, faster detection doesn’t necessarily mean faster security.
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
AI safety can’t rely on promises alone. As AI gets smarter, we need to verify what it actually does.
Verifiable AI gives us proof instead of blind trust, which makes Proof of Inference so important. #VerifiableAI#PacingTheFrontier#ProofOfInference#AISafety#AI
Inference Labs S9 is live with a $3,000 USDC reward pool. If you’re new here, this is a good time to join
Join the Discord, complete the Zealy quests and start earning: https://t.co/YrwenwLFxb @inference_labs#InferenceLabs#ZealySprint#Web3AI#DeAI
I think AI verification will eventually matter as much as model accuracy. A highly accurate model is still difficult to trust if you can’t independently verify how the output was produced.
1/ Keypoints are useful when the important signal is not just who or what is in the frame, but how something is positioned and moving.
For airside operations, that can mean tracking a marshaller’s arms, body position, and gesture sequence over time.
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