By now most investors are aware that public blockchains can be used for much more than Bitcoin—applications like stablecoins and tokenized assets are becoming increasingly mainstream. But the world is also waking up to the fact that the same technology can also drive innovations in artificial intelligence (AI). The latest breakthroughs relate to Bittensor, a blockchain-based platform for decentralized AI development (for background see our Bittensor Building Block).
On March 10, a Bittensor subnet said it had trained a seventy-two billion parameter large language model (LLM) using a permissionless network of nodes. In other words, the model was not the product of a large company using a dedicated cluster of computers in a data center, but the output from a community of participants sharing compute resources over the Internet. This was a first for a model of this scale using decentralized infrastructure.
Thanks to the groundbreaking achievement, Bittensor’s TAO token was one of the best performing large cap crypto assets over the last month. Its price took a first leg up after the training run was announced, then made another move higher after it was discussed on the All-In Podcast during an interview with NVIDIA CEO Jensen Huang (see chart).
Key takeaway: Bittensor is showing that decentralized AI development can compete in the big leagues, and this is driving token price performance.
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