Recently, I have been delving into the AI track and discovered an interesting idea——a standalone model, no matter how smart, is just a tool. What truly moves the market is embedding intelligence into the network itself. What does that mean? It means enabling every contribution to be clearly tracked, value to be settled in real-time, and profits to flow directly to contributors. Only then can we break the monopoly of AI by giants.
Currently, there is a team building an open AI infrastructure layer on Base. The idea is quite bold—resources like models, computing power, and data, which used to belong only to tech giants, are gradually being built and maintained by the global developer community. Every call and optimization by users can be converted into tangible rewards. This distributed collaboration model echoes the early internet spirit of co-creation but utilizes Web3’s settlement mechanisms.
If this model works, the discourse power in AI will no longer be concentrated in a few large companies. Contributors of computing power, model developers, and data annotators can all benefit, elevating the overall efficiency and fairness of the AI ecosystem. This could be a very promising direction for the integration of AI and Web3.
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StakeTillRetire
· 6h ago
It sounds great, but how many can actually succeed? Many projects on Base say the same, but in the end, they just become token speculation.
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RektCoaster
· 01-07 00:14
Sounds good, but it still feels idealized. If the giants really get moving, they can crush this setup in minutes.
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MeltdownSurvivalist
· 01-05 07:06
This idea really hits the mark; it's much more reliable than those projects that just shout slogans.
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GasWrangler
· 01-05 07:06
technically speaking, the settlement mechanism here is what actually matters—if you analyze the data on base's throughput vs. the gas cost per contribution trace, you'll see this only works if they nail sub-optimal state bloat. otherwise it's just another inefficient coordination layer lmao
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GasFeeCrier
· 01-05 06:51
This idea is indeed interesting, but can it really run on Base? The Gas fee will first kill half of the users.
Recently, I have been delving into the AI track and discovered an interesting idea——a standalone model, no matter how smart, is just a tool. What truly moves the market is embedding intelligence into the network itself. What does that mean? It means enabling every contribution to be clearly tracked, value to be settled in real-time, and profits to flow directly to contributors. Only then can we break the monopoly of AI by giants.
Currently, there is a team building an open AI infrastructure layer on Base. The idea is quite bold—resources like models, computing power, and data, which used to belong only to tech giants, are gradually being built and maintained by the global developer community. Every call and optimization by users can be converted into tangible rewards. This distributed collaboration model echoes the early internet spirit of co-creation but utilizes Web3’s settlement mechanisms.
If this model works, the discourse power in AI will no longer be concentrated in a few large companies. Contributors of computing power, model developers, and data annotators can all benefit, elevating the overall efficiency and fairness of the AI ecosystem. This could be a very promising direction for the integration of AI and Web3.