Been following @inference_labs lately. Proof-based inference makes a lot of sense as AI gets more autonomous. Their Zealy quests are a cool way to get involved early and understand what they’re building.
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.
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Been following @inference_labs lately. Proof-based inference makes a lot of sense as AI gets more autonomous. Their Zealy quests are a cool way to get involved early and understand what they’re building
Been following @inference_labs lately. Proof-based inference makes a lot of sense as AI gets more autonomous. Their Zealy quests are a cool way to get involved early and understand what they’re building.
Been following @inference_labs lately. Proof-based inference makes a lot of sense as AI gets more autonomous. Their Zealy quests are a cool way to get involved early and understand what they’re building.
@inference_labs Capability is scaling fast but without robust governance layers (auditability, alignment constraints, fail-safe mechanisms), autonomy becomes liability.
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