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Post #6172 278
Why $WL1 stands out to me among all the projects jumping on the AI hype:

Their public repos include tokenized datasets from 2022 and on-chain AI work from 2023. This direction predates the current inference hype.

They already have Forest, an open-source toolkit for training, tokenizing and running smaller AI models with reproducible on-chain results.

GL1AI aims to build on that: connecting model ownership, licensing, GPU providers and automated payments in native L1.

That existing foundation and long-term focus are what make it interesting to me. The new inference marketplace still needs to launch and prove demand, but there is relevant work behind the announcement.

https://github.com/GenesisL1/Forest
GitHub GitHub - GenesisL1/Forest: Decentralized GBDT training studio with deterministic on-chain inference on GenesisL1 (EVM). Decentralized GBDT training studio with deterministic on-chain inference on GenesisL1 (EVM). - GenesisL1/Forest
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