Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference | ScienceToStartup | ScienceToStartup

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References (45)

[1]

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs

2025Will Cai, Tianneng Shi et al.

[2]

zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference

2025Wenjie Qu, Yijun Sun et al.

[3]

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Founder's Pitch

"A cryptographic framework for verifying AI model outputs with significantly reduced computational overhead compared to existing proof systems."

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Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference

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References (45)

Founder's Pitch

"A cryptographic framework for verifying AI model outputs with significantly reduced computational overhead compared to existing proof systems."

Commercial Viability Breakdown

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Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference

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References (45)

Founder's Pitch

"A cryptographic framework for verifying AI model outputs with significantly reduced computational overhead compared to existing proof systems."

Commercial Viability Breakdown

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