Everyone talks about privacy computing every day,
but there are really not many that can actually run.
ZK is too slow, TEE relies on trusted hardware,
both are impressive, but neither is perfect.
FHE is different—
it can compute directly while the data is encrypted.
You see the results, but you can't see the data itself.
This is what true privacy means.
In this area, Zama @zama_fhe is basically the only one charging forward.
Their fhEVM, tfhe-rs, and concrete already allow developers
to write smart contracts and run AI models on encrypted data.
It's not just a PPT; it can actually run.
Imagine this:
Encrypted DeFi risk control,
Confidential DAO voting,
AI model shared training without peeking at each other.
All of this can be achieved with FHE.
Privacy is not about hiding;
it's about computing what needs to be computed and seeing what needs to be seen.
Zama is moving this from the lab to reality.
To be honest—
this step is likely bigger than the next L2.
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