2026-01-02 06:22:29

A team is transforming the trust foundation of AI — they want every AI computation to leave a mathematical proof. Through cryptographic verification and verifiable reasoning techniques, any output cannot be tampered with, and anyone can easily verify its authenticity. This is not just a simple model upgrade, but rather integrating the core advantage of blockchain — decentralized verification — into AI systems. Traditional solutions rely on model performance, while this approach embeds the trust mechanism directly into the code itself. When AI meets Web3, trust is no longer a luxury but an inherent system attribute. What could this paradigm shift mean for the widespread adoption of AI applications? Worth paying attention to.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

7 Likes

Reward
7
6
Repost
Share

Comment

0/400

TradFiRefugee

· 8h ago

Cryptographic verification + verifiable reasoning, this is indeed a concept. But the problem is, how many people actually use this set of tools? Most people are still using black-box models.

View OriginalReply0

AlphaLeaker

· 8h ago

This is the right way. Finally, someone is seriously working on the verification layer. Who dares to truly believe in those AI outputs before? --- Writing cryptographic proofs into code? Sure, that's a solid approach. --- Wow, bringing over the zero-knowledge proof system feels like it could solve the AI trust crisis. --- Wait, is this the same idea as Gensyn? Verifiable computation is indeed a pressing need. --- Basically, AI also needs to be on the chain, speaking with mathematics rather than relying on vendor endorsements. I like it. --- Some substance, but will the costs explode... --- The true battlefield of Web3 has arrived, no longer just about trading coins. --- I've been waiting for this. The concept of native trust mechanisms should have existed long ago.

View OriginalReply0

SerumDegen

· 8h ago

ngl this is either the biggest alpha leak or the most elaborate copium i've seen in weeks... cryptographic proofs on every ai compute? sounds like someone's about to get liquidated trying to build this lmao

Reply0

TestnetFreeloader

· 8h ago

Mathematical proof systems sound great, but can they really be implemented? It feels more like a fundraising story than an actual product.

View OriginalReply0

bridge_anxiety

· 9h ago

Sounds impressive, but can it really be implemented? It feels like another idealistic and ambitious plan...

View OriginalReply0

BlockchainDecoder

· 9h ago

From a technical perspective, this verifiable reasoning framework indeed addresses a pain point, but to be honest—how much computational overhead does cryptographic verification entail? After reviewing related papers, no throughput data has been found. However, the idea is indeed interesting. Using ZK proofs in AI reasoning verification is theoretically feasible. I just want to ask: where exactly is the balance point between cost and performance?

View OriginalReply0