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Episode Description:
Hosted by James Altucher and Joseph Jacks.
In this episode, James and Joe explore perverse incentives in centralized tech (e.g., Google, Apple), Bittensor's permissionless model for front ends and innovation, subnet ownership as "stocks for ideas," incentives as a meta-language transcending currencies ("incentivism"), trustless systems, tech monopolies and market collapse, historical revolutions, Nvidia's risks, escape velocity challenges, scaling Bittensor via subscriptions, opportunities like Bitcast (decentralized ads) and TAO Hash, Bittensor as a neural network (neurons, axons, dendrites), Metcalfe/Reed's Law for exponential value, reinforcement learning (AlphaZero), the "Age of Experience" for continuous AI, and why Bittensor's success ensures humanity's control over AI—failure means monopolistic dominance.
Key Timestamps & Topics:
Key Takeaways:
Resources & Links:
Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts.
5
1010 ratings
Episode Description:
Hosted by James Altucher and Joseph Jacks.
In this episode, James and Joe explore perverse incentives in centralized tech (e.g., Google, Apple), Bittensor's permissionless model for front ends and innovation, subnet ownership as "stocks for ideas," incentives as a meta-language transcending currencies ("incentivism"), trustless systems, tech monopolies and market collapse, historical revolutions, Nvidia's risks, escape velocity challenges, scaling Bittensor via subscriptions, opportunities like Bitcast (decentralized ads) and TAO Hash, Bittensor as a neural network (neurons, axons, dendrites), Metcalfe/Reed's Law for exponential value, reinforcement learning (AlphaZero), the "Age of Experience" for continuous AI, and why Bittensor's success ensures humanity's control over AI—failure means monopolistic dominance.
Key Timestamps & Topics:
Key Takeaways:
Resources & Links:
Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts.
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