Last night at 2 a.m., I helped a friend troubleshoot a quant bot that was acting up: it was clearly running Strategy A, but the logs looked like they had been swapped with B. First, we blamed API latency, then suddenly questions like “Has the model been replaced?” popped up. The exchange's messages kept popping up one after another, and even the coffee cooled down. His question was, “How do you prove the model hasn't been tampered with?” I fell silent...
This is why I’ve recently been paying attention to @inference_labs: they’ve changed “trust” to “receipt.” JSTprove just updated to v1.4.0, and with ONNX + a single command, it produces zk proof of inference, with an auditable evidence chain. Even more impressive is DSperse: slice verification that only generates proofs for security gates/anomaly detection/private heads, keeping costs manageable.
The engineer thinks: when the agent really starts managing money/permissions, it’s more important than anything to clearly explain “what exactly I ran.”
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Last night at 2 a.m., I helped a friend troubleshoot a quant bot that was acting up: it was clearly running Strategy A, but the logs looked like they had been swapped with B. First, we blamed API latency, then suddenly questions like “Has the model been replaced?” popped up. The exchange's messages kept popping up one after another, and even the coffee cooled down. His question was, “How do you prove the model hasn't been tampered with?” I fell silent...
This is why I’ve recently been paying attention to @inference_labs: they’ve changed “trust” to “receipt.” JSTprove just updated to v1.4.0, and with ONNX + a single command, it produces zk proof of inference, with an auditable evidence chain. Even more impressive is DSperse: slice verification that only generates proofs for security gates/anomaly detection/private heads, keeping costs manageable.
The engineer thinks: when the agent really starts managing money/permissions, it’s more important than anything to clearly explain “what exactly I ran.”