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In this 10th episode, James and JJ celebrate the podcast's milestone, discussing Bittensor's year-to-date high amid market downturns, decoupling from Ethereum/Bitcoin, top cryptocurrency rankings (removing wrapped/staked/memes), Bittensor's top 30 breakthrough, bearish sentiment in broader markets, Bitcoin's flat performance vs. NVIDIA's gains, and philosophical reflections on Bittensor vs. Bitcoin.
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In this episode, James and JJ discuss fiat inflation insanity (70-90% purchasing power loss), Bitcoin as inflation solution (not hedge), TAO universe updates (halving arguments/bullishness, subnet tipping points, institutional engagement like DCG index funds/Grayscale ETF), macro risk-on environment (rate cuts, stablecoins, crypto policy, state Bitcoin reserves), increased Bittensor content/tutorials, explaining Bittensor's complexity (vs. Bitcoin), equity evolution (alpha tokens as permissionless value creation), DCF vs. incentive analysis for valuations, subnets undervalued vs. AI unicorns, catalysts (halving reducing selling, deregistration boosting demand, Ridges commercial product, institutional buying pressure), and TAO decoupling from Bitcoin/Ethereum.
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In this episode, James and JJ tackle explaining Bittensor's complexity (vs. Bitcoin/stablecoins), its federation of 100K+ TAO holders unbeatable by companies, Bitcoin as inflation solution (not hedge), necessity/constraints driving creativity, US dollar privilege, AI/DeFi as crypto's biggest use cases (e.g., Ridges for code, Bit Minds for deepfakes, 404 Gen for 3D AI), Bittensor's $3B AI leadership vs. Hyperliquid's $12B (with Subnet 35 Kartha launching Hyperliquid on Bittensor), evolution of equity (alpha tokens as permissionless value creation), DCF vs. incentive analysis for valuations, subnets undervalued vs. 200-300 AI unicorns (most failing with negative margins), alpha for buying resources/companies (e.g., Ridges' 1/20th-1/30th compute cost via Shoots/Targon), and investing in alpha over equity.
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In this live episode from Toronto, James and JJ discuss Bittensor's motivated community delivering competitive results, DeepSeek outcompeting Western labs at a fraction of the cost (e.g., $100M vs. billions), January 2025 market correction/Nvidia collapse, IP/copyright extinction via AI, financialization of compute (options/markets for pricing), Targon/Shoots' low-cost H200 access (~$1.20-1.30/hour vs. $2.50-3+), and Bittensor's profound frictionless propagation.
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In this episode, James and JJ discuss Bittensor as a combustion engine-level innovation, the extinction of IP/copyright due to AI, Bittensor solving flawed equity/VC models (e.g., saving $10B in VC for one subnet), abstracting incentives beyond Bitcoin's proof-of-work, Clawed vs. Ridges (billions raised vs. $600K needed), permissionless equity compensation, and Bittensor's profound societal impact.Key
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In this episode, James and JJ explore Bittensor's philosophical community (vs. other tokens' trading focus), open source freedoms from Richard Stallman (four freedoms: inspect, modify, distribute, distribute with changes), incentives as a meta-language for problem-solving, Bittensor's neural network parallels, subnet valuations via fully diluted value (FDV) and discounted TAO flow (DTF) analysis, emission schedules (2-3x faster for alpha tokens), and emerging TaoFi opportunities (e.g., borrowing against future tokens).
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Hosted by James Altucher and Joseph Jacks.
In this episode, James and JJ discuss Bittensor's unbeatable scale against centralized companies, parallels to the internet/crypto revolutions, unregulatable open source AI, demand math for TAO with subnet growth (e.g., 10-15M additional staked TAO for 1,000 subnets), the upcoming halving event in December 2025, alpha token economics/volatility, regulation debates (e.g., Eric Schmidt on open source AI), dual-use tech risks, and rational optimism for AI's future. They also did a small Q&A at the end of the episode.
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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.
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Hosted by James Altucher and Joseph Jacks.
In this episode, James and Joe brainstorm real-world AI use cases on Bittensor, like building an ER diagnostic model. They explore Bittensor as an upgrade to open source through incentives, distributed training (e.g., Templar subnet), off-chain computation parallels to Bitcoin, repricing AI/commodities, and its potential to disrupt centralized tech via "incentivism" and continuous learning.
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Hosted by James Altucher (serial entrepreneur, bestselling author of "Choose Yourself," podcaster, hedge fund manager, chess master, and investor in over 20 companies, with expertise in crypto and AI) and Joseph Jacks (founder and general partner of OSS Capital, the world's first VC firm dedicated to commercial open-source software; early-stage investor in AI and open-source tech, previously Entrepreneur-in-Residence at Quantum Corporation).
In the premiere episode, James and Joe explore Bittensor's decentralized AI ecosystem, contrasting it with centralized giants like xAI's Grok 4. They discuss subnets providing GPUs, datasets, and models; proof-of-useful-work mining; building custom AI agents; and Bittensor's potential to outpace Big Tech in achieving superintelligence.
Plus, tokenomics, real-world apps, capitalism parallels, and bold predictions on TAO's future value.
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Follow Hosts: @jaltucher & @josephjacks_ on X
Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
Get ready for The TAO Pod—the ultimate podcast on Bittensor (TAO), decentralized AI, crypto, and tech's future! Hosted by James Altucher and Joseph Jacks, we explore how Bittensor's subnets are revolutionizing AI access, from GPUs and datasets to custom models and agents.In this trailer, catch highlights from our first episode: Bittensor vs. xAI's Grok, superintelligence predictions, tokenomics, and why decentralization beats Big Tech.Full episodes dropping soon—subscribe now for deep dives, AI startup tips, and bold insights!#Bittensor #DecentralizedAI #Crypto #TAO #xAIFollow:- X: @jaltucher @JosephJacks_
- Bittensor: https://bittensor.com