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The number of Web3 AI projects this year will grow rapidly. Without discussing how much liquidity they will absorb, they will bring some wealth opportunities to the market.
New coin good, old coin bad. Always the shiny new thing.
The AI narrative will be more powerful and lasting than the metaverse narrative. It can be foreseen that in the next two years, the crypto market will be filled with numerous AI projects (on-chain meme, applications, and infrastructure).
On-chain meme looks at popular small narratives under the AI big narrative.
Applications look at PMF and adoption.
Infrastructure looks at the project team's ability to gather resources and operate assets.
AI-related Layer1/Layer2 are relatively easier to develop, and participating in testnet mining is a relatively certain and low-risk method.
Recently, I've been looking at undistributed AI infrastructure projects like @0G_labs @Mira_Network @SentientAGI and @irys_xyz. 0G has been introduced before, today I'll talk about Irys, and later will discuss Mira and Sentient. (Another personal recommendation is the Depin project @doublezero, which I also like and can be followed, but currently there are no participation opportunities).
Irys is a data layer, with its core business concept of helping AI projects manage data (making data programmable), complemented by infrastructure services such as low-cost storage layer and EVM-compatible execution layer (IrysVM).
In terms of data storage, it has optimized several aspects compared to Filecoin and Arweave's functions:
1. Instant data storage and retrieval;
2. Smart contracts can directly fetch data;
3. Stable service pricing;
4. Support for data verification;
From an IP perspective, Irys is talking about supporting more diverse data types, including IP data, but not limited to IP data. Story only supports IP data.
From a technical perspective, this project is solid and has its own ideas. It has also raised nearly ten million dollars, with lead investors being Lemniscap and Framework Ventures, and Dovey also participated in its investment. The financing background and amount are quite good.
Early participation involves joining the testnet, collecting daily tokens and participating in three games, which @Airdrop_Guard has already mentioned, so I won't elaborate further.
Link：https://x.com/Airdrop_Guard/status/1916659839293681684
Personally, it feels similar to $WAL, not too competitive, and worth participating in.
Finally, let me share my thoughts on Web3 data projects.
We are currently in an extremely uncertain period. The seemingly glamorous AI projects in Web3 have not yet been widely adopted by Web2 - although Grass mentioned in its PR that its revenue has exceeded eight-digit dollars, currently no Web2 company has publicly stated that they are using Grass's services and paying for them, so Grass's PR content remains unconfirmed and dubious.
However, I am optimistic about its development prospects.
First, Web3 data products indeed significantly reduce costs, with the core being using token incentives to subsidize fees.
Second, data products adopting the Web3 model have advantages in adoption in terms of transparency, verifiability, composability, and programmability. Recent ZK and FHE technologies can effectively solve data privacy pain points.
Third, each major breakthrough in AI comes not from new algorithms, but from unlocking new data sources. The next paradigm shift belongs to those data infrastructures that can help models "see more of the world".
Looking at development, two points:
One is to build its own Web3 ecosystem and create demand for its own products, in simple terms, creating its own market.
Two is to earn money from Web2 customers, which tests the project team's technical capabilities and business development skills.
