Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used.
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used.
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used.
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used.
Just learned about Disperse from @inference_labs and I’m impressed Instead of proving every step of an ML model, it proves only what really matters.
Less computation, same trust. That’s how zero knowledge should be used.
1/ Most AI systems can tell you what a model predicted. Very few can show exactly how it arrived there.
This is a look inside Sertn’s Proof Inspector: a 3D layer for verifiable inference.
From the original frame → activations → proof artifacts → final detections.