We really trust Ai to do a lot of things, like:

➠ Summarizing reports
➠ Analyzing data
➠ Suggesting decisions

But sometimes we wonder, how exactly do we trust that we’re being told the truth!

That’s exactly what @SentientAGI is solving with Verifiable Compute,  a tech layer built in collaboration with @PhalaNetwork and @LitProtocol.

Here’s the simple idea 👇

 When AI gives you an output (a summary, result, or prediction),

 you can verify where it came from…

the data, the process, the logic

all on-chain.

 Meaning, you don’t just get the result but also proof of how it was made.
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This really changes everything for how we use AI in research, finance, and even governance.

Because truth in AI shouldn’t depend on trust but proof!

gSenti to verifiable Ai 🍷