Recently, the narrative of AI + ZK has become incredibly hot. Lagrange's unique selling point is also very distinctive, using zkML functionality to give the network a smile behind it—allowing ML computation results to be verified on-chain, while using zero-knowledge proofs for 'trustworthy + privacy' guarantees.

How to judge the truth? I've looked at three things:

1. Endorsement and Resource Density

Founders Fund has laid out plans in AI and Web3, investing in Lagrange is actually betting on this track. The project’s official Twitter says the team has connections with EgDE (EigenLayer development team), indicating that the security model is not being developed in isolation.

2. On-chain Activity Level

From on-chain data, we can see that in the past two weeks, the number of Prover nodes has increased from over 60 to nearly 90 (I was looking at the on-chain monitoring page). Similarly, the number of block production tasks for nodes has also significantly increased. This indicates that the network is expanding, and the activity level is genuine.

The number of zkML calls from some wallets has grown by over 30% daily, indicating that developers are both testing and using it.

3. Token Economic Design

Lagrange's tokens are not extensively pre-mined, and the distribution is transparent. Token locking is for medium to long-term use, rather than for a group of people to cash out immediately. This is much more reliable than many AI projects. There will be staking rewards in the future, which I personally understand to ensure network node participation.

To put it bluntly, Lagrange is not just playing tricks; it indeed has a viable logical path in AI verification, zero-knowledge proofs, and network security collaboration.

Of course, I don't think it has already caught fire, but rather it's moving steadily. Right now, there are still risks to be mindful of: How to balance the trade-off between privacy and performance? Will the proof costs soar after network expansion? Is the ecosystem genuinely interconnected from SDK to application? These questions need answers in the future.

Lagrange is selling 'on-chain AI verification capabilities,' not competing on TPS; if you grasp this logical segment, then value judgment goes beyond just price.

Interactive Question: Where do you think Lagrange's greatest potential lies?

A. zkML Verification Scenarios

B. Prover Network Ecosystem

Commenting with letters? Let's discuss it, guys.

@Lagrange Official #lagrange $LA