Infrastructure for emerging decentralized AI networks. Stake with us! $TAO $L1
Joined October 2021
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In the past 2 days there have been a few hundreds of new $L1 holders.
There are a lot of people that don't know how to buy wL1 on Base, how to bridge it to GenesisL1 native token and how to stake those tokens.
This video will help you do that in under 5 minutes.
Make sure to share it so other can follow all the steps here.
Video Tutorial on How to Buy, Bridge and Stake GenesisL1 $L1
youtube.com/watch?v=VoDf5_K7…
Const is building, building, building bittensor:native
Novelty Search :: Bittensor Subnet 10, Pareton :: The Inference Speedmaster xitter.gq/i/broadcasts/1nJOLQqYp…
GL1F vs GL1AI
GL1F: compact ML models like GBDTs.
Train locally → tokenize as Model NFT → store on-chain → deterministic inference directly in the EVM
Perfect for crypto prediction, risk scoring, biomedical & structured data models.
GL1AI: large AI models / LLMs.
Tokenized models → decentralized storage → GPU operators serve inference → users & agents pay in genesisl1:native
Built for LLMs, coding, agents, generative AI & large-scale inference.
GL1F = verifiable on-chain ML.
GL1AI = decentralized AI compute & inference.
Same L1. Two very different AI markets.
Could anyone with a GPU become an AI inference provider on GenesisL1? genesisl1:native
That's the idea.
Imagine you have an RTX 3090.
You could pull a tokenized Qwen model from the GenesisL1 ecosystem, verify its artifacts, load it locally and offer inference through the marketplace.
Users could compare you with other operators based on price, uptime, performance and reputation.
User pays genesisl1:native → GPU runs inference → user gets the result.
Instead of GPUs sitting behind a centralized AI provider, GenesisL1 can connect independent compute into an open AI marketplace.
🤖 Made with AI
