Meme66

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Recently, Zama has become very popular. At first, I only knew that it was focused on "privacy infrastructure". However, as I explored further into the FHE space, I realized that this is not just a narrative about privacy.

To put it simply:
FHE may currently be the only direction in on-chain privacy that balances "usability + verifiability".

In the past, privacy solutions generally fell into three categories: mixing coins (with significant compliance pressure), ZK (can prove but cannot compute directly), and off-chain computation with on-chain recording (high trust costs).
FHE, on the other hand, allows for direct computation while the data is fully encrypted—without decryption or exposure, and the results can still be verified. This is also why it is referred to as the pinnacle of cryptography, and in real applications like AI Agents, it is almost a necessity.

The core of Zama is focused on one thing:
To make FHE run faster, more stably, and more efficiently, which is the value of pure infrastructure.

As I continued to look into it, I also noticed Mind Network in the same space. Its token is directly called $FHE, but the approach is different from Zama—focusing more on what real problems FHE can solve. Interestingly, Zama is also one of the investors in Mind, indicating that the two are more like upstream and downstream partners rather than competitors.

A good analogy is:
Zama is like Intel, tackling the most fundamental computing power;
Mind Network is more like AWS/Apple, turning capabilities into genuinely usable products.

Especially in the direction of AI Agents, this difference will be increasingly magnified.

I would prefer to see Mind as:
One of the earliest teams seriously considering "applications + token economics" in the FHE space.

It may not immediately produce results, but it is on a path that is more realizable than a purely technical narrative.
In this direction, success or failure is not determined by a single K line.
If FHE truly explodes, the key will be who can first meet the real demand.

DYOR, but this direction is worth at least a serious look.
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