$TAO is slowly being repaired; it really is different from ordinary public chains.

From the trend, $TAO is indeed gradually recovering, the pace isn't fast, but the overall structure is moving upward, no issues.
I now tend to see it as a completely different type of thing.
Over the past few years, $ETH has run through almost all the narratives on-chain, but very few have truly stuck around; most of the subsequent public chains are just rebranded versions of the same thing, with little fundamental difference—many things are just a different coat of paint.
But TAO is different; it’s more like building a decentralized AI network.
These subnets can be understood as a group of AI projects advancing in different directions, rather than traditional on-chain applications.
To some extent, it’s closer to a set of early-stage startup projects running simultaneously; each subnet is solving different problems within AI, somewhat like a decentralized AI incubator.
AI itself is a highly centralized track, with giants monopolizing computing power, data, and model training, but TAO tries to reorganize these resources using cryptographic mechanisms, so that computing power and data are no longer controlled by just a few companies.
If this path can be successful, the logic is entirely sound; it addresses one of the most critical pain points in the current AI industry.
Now TAO has also started to move toward real business applications, not just storytelling within the circle; although still in early stages overall, the direction is correct, not a purely vapor project.
Compared to those rebranded public chains, its narrative is more solid and has more room for imagination.
I will continue to track the progress of TAO’s subnets and on-chain data, and key milestone nodes and strategic opportunities will be updated immediately.
If you want to keep up with projects that have real underlying logic and avoid being cut by rebranded public chains, follow me so you won’t get lost.
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