Real-time detection is good, but verifiable evidence is what actually builds trust. This is the missing layer in critical systems. With
@inference_labs
@inference_labs Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper.
@inference_labs
Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper.
@inference_labs
Real-time detection is good, but verifiable evidence is what actually builds trust. This is the missing layer in critical systems. With
@inference_labs
@inference_labs Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper.
@inference_labs
1/ Training a model isn't just about accuracy.
It's about understanding 'what the model is actually learning' and where it is struggling.
Sertn's Model Art visualizes class performance in real time, helping teams identify underrepresented classes, missing samples, and training blind spots before they become deployment issues.
https://t.co/iDkNXZRMUU
For years the industry focused on model training. Now we're watching billions of dollars flow into:
* data infrastructure
* deployment
* inference
* governance
* verification
SN2 Dsperse has now surpassed 1B+ proofs completed.
Proof throughput continues to accelerate, with peak volume reaching 19.4M proofs/day as larger models become increasingly practical to verify at scale.
Verifiable inference infrastructure is moving into production.
https://t.co/qv3NBYgmZy
Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper.
@inference_labs
Real-time detection is good, but verifiable evidence is what actually builds trust. This is the missing layer in critical systems. With
@inference_labs
Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper. good
@inference_labs
Massive congratulations to the team. Verifiable inference and zkML are becoming essential for building trust in next-generation computer vision systems. Excited to dive into the full paper.
@inference_labs
The future belongs to systems that can prove their reasoning, not just claim it. That’s why Inference Labs stands out turning transparency into the new frontier of innovation. @inference_labs