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Episode Description
The TAO Pod returns for Season 2 with a new format. Joseph Jacks, who co-hosted Season 1, is no longer part of the show — James addresses it directly in the opening minutes. There's no falling-out: JJ's attention has simply moved toward other areas of research, and as James puts it, people have different interests and move on to different things.
James notes he believes JJ remains invested in the ecosystem. Season 2 will run as a conversation series with guests from across the Bittensor world.
Hosted by James Altucher. In this episode, James is joined by Mark Jeffrey — early Bitcoin author (Bitcoin Explained Simply, The Case for Bitcoin), partner at Stillcore Capital, and host of the Hash Rate podcast — for the return of the TAO Pod after a several-month break. James and Mark discuss Jacob "Const" Steeves' rapid protocol changes and why both of them agree with all of them, Root Reborn ending the chain's daily dumping of subnet tokens and turning emissions into active subnet investment, the reports from Yuma and Sami Kassab arguing that a single breakout subnet takes TAO to $1,000 (and two or three takes it to $3,000–$5,000), why a general frontier model never eliminates the specialist layer (Score's computer vision and its PwC distribution deal), the Linux/Red Hat analogy for where subnet value actually sits, the collapse of the frontier moat as Kimi K3 matched Mythos and Fable within roughly a week, Engy serving Kimi K3 and GLM 5.2 at half the price of anyone on Earth by running on RTX 5090s near cheap power, Chutes and Parallax chasing a trillion-parameter mixture-of-experts model, Iota and Knyto attacking decentralized training from different angles, Actual Computer 95's private inference clusters and Nous Research's Hermes agent adopting them natively, Bitcoin as Earth's largest supercomputer that costs its owners nothing, why subnet tokens are rehypothecated TAO and drag TAO up with them, and the back-of-envelope math that puts TAO at roughly $2,000 off one subnet success out of 128.
Mark also notes this is not financial advice.
Key Timestamps & Topics00:00 Bittensor Value Thesis
00:46 TAO Pod Returns
01:29 Why Protocol Rules Change03:52 Bitcoin Versus Bittensor
06:09 Root Reborn Explained08:02 Breakout Subnet Flywheel
11:02 Can Claude Beat Subnets
12:37 Specialists Still Win
16:21 Inference Commoditization
18:04 NG Cheap Inference Edge
20:29 Prompt Data Flywheel
22:04 Chutes Parallax Training
23:36 Mixture Of Experts Path
25:03 Frontier Model Ambitions
25:56 Chutes Valuation Math
27:21 Decentralized Training Rivals
29:16 Actual 95 Free Inference
32:38 Bitcoin Economics Analogy
36:57 TAO Value Accrual
38:46 Subnet Versus Company Value
42:29 Token Flywheel Scenario
44:28 Crypto Access And Wrap Up
Episode Description:
In this episode, James and JJ explore quantum biology and its implications for engineering organisms and drug discovery, the fundamental problem of compute efficiency in AI, Bittensor converting any innovative task into currency, Ridges’ commercial product progress and partnership with Latent Holdings, TAO price volatility and Bitcoin correlation, information asymmetry and the value of education, the decentralization of OpenTensor Foundation with Jake Steves stepping down, subnet governance and future growth, and the convergence of AI, biology, and permissionless incentives.
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Episode Description:
In this episode, James and JJ discuss TAO's philosophical interest (beyond money), Bittensor democratizing price discovery/innovation, US dollar's rapid depreciation (fastest asset loss), endless currency printing, crypto bypassing bank controls for unbanked, sharing info to educate/reduce asymmetry, podcast motivation (learning through conversations), TAO high despite market down (holder conviction), Bitcoin volatility/recessions, private markets favoring elite (no retail VC returns from public tech), Satoshi as greatest entrepreneur ($1.8T value), Bitcoin as digital capital/Bittensor as digital capitalism, bounties on tech improvement, Sequoia's missed NVIDIA $500B (hold long-term/tolerate volatility), respecting Moore's law, and TAO as convergence of exponential ideas (entrepreneurship/decentralization/open source/AI).
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Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
Episode Description:
In this Thanksgiving special, James and JJ express gratitude for the incredible conviction of TAO holders during the 30% Bitcoin correction, TAO's relative strength and decoupling moments, the plus-minus-equals method for mastery (teaching to cement knowledge), the philosophical beauty of Bittensor as digital capitalism, Bitcoin as digital capital, and the power of consistent learning through the podcast.
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Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
Episode Description:
In this episode, James and JJ discuss TAO bridges as enormous catalyst (buying subnet tokens requires TAO, creating pressure), Bittensor as perfect digital free market, OpenAI restrictions on medical/financial questions, collective AI vs. Palo Alto/SF groups, new power structures (government/individual), educating/questioning systems, blurring crypto/stocks (Bittensor/alpha on Robinhood/Schwab), Latent Holdings' Vow (wrapping/staking TAO for EVM), first principles for economy/equity, and placing optimism in TAO for returns.
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Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
Episode Description:
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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Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
Episode Description:
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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Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts. #TheTaoPod #Bittensor #DecentralizedAI #TAO
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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