Bittensor creator Const on Affine, dTAO, “mining reasoning,” and more | E2326

Summary

Bittensor co-founder Jacob Steeves (Const) explains the project's Bitcoin-inspired permissionless mining roots, how subnets create market-based rewards for AI compute, inference, and models, and how dynamic TAO uses subnet token prices to rank and fund projects. Specific subnets discussed include Engy, Lium, and Affine, with Affine focused on mining reasoning. Jason Calacanis shares his bullish TAO thesis and also mentions long-term stock bets in Uber and Figma.

• Jacob explains Bitcoin's permissionless mining as the foundation for Bittensor.
• Subnets are described as incentive mechanisms where miners and validators produce AI commodities like compute and inference.
• Dynamic TAO gives subnets paired alpha tokens and uses market prices to rank projects and distribute TAO emissions.
• Jacob highlights Lium (SN51) scaling compute and Affine (SN120) mining reasoning.
• Jason is bullish on TAO as a long-shot decentralized AI bet and suggests buying one TAO as a front-row seat.
• Jason also mentions long-term holdings in Uber and Figma.
• The Templar controversy is framed as an early startup rugpull risk rather than a Bittensor architecture failure.
• Jacob discusses foundation governance and his effort to make himself increasingly irrelevant.