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.

Key Timestamps & Topics:

• 00:00:00 - Intro: TAO bridges catalyst; buying subnet tokens requires TAO pressure.
• 00:01:00 - Bittensor as Free Market: First perfect digital representation.
• 00:02:00 - OpenAI Restrictions: No medical/financial questions; collective AI vs. small groups.
• 00:03:00 - Power Structures: New government/individual levels; educate/question systems.
• 00:04:00 - Crypto/Stocks Blurring: Bittensor/alpha on mainstream platforms.
• 00:05:00 - Latent Holdings' Vow: Wrapping/staking TAO for EVM access.
• 00:10:00 - Bridges/Integrations: Enabling retail exposure; EVM compatibility.
• 00:15:00 - Mainstream Platforms: Bittensor on Robinhood/Schwab future.
• 00:20:00 - TAO Accessibility: General purpose exchanges like Binance/Coinbase.
• 01:00:00 - Economy Reinvention: First principles for equity valuation.
• 01:05:00 - Dollar Pessimism: Influential views on fundamental changes.
• 01:10:00 - Growth Skepticism: AI saving everything? Structure limits.
• 01:15:00 - Bitcoin Durability: 15 years as example; incentives for AI/tech.
• 01:20:00 - First Principles: Reinvent economy/equity; 250-year US timeline.
• 01:22:00 - Optimism Placement: Professional optimism in TAO ecosystem.
• 01:23:00 - Wrap-Up: Great show; 11 episodes milestone.

Key Takeaways:

• TAO bridges huge catalyst: Exchanges/subnet buys require TAO, creating enormous pressure—easier access boosts demand.
• Bittensor as free market: Perfect code for collective innovation—vs. permissioned systems keeping people in poverty.
• OpenAI limits: Medical/financial bans; collective AI transformative vs. centralized groups.
• Power shifts: Educate on systems for new structures—avoid being left out.
• Optimism strategy: Place in TAO for best returns—professional optimists win; ecosystem blurring crypto/stocks.
• 
  

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• 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

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor/Bitcoin scale; AOL vs. internet analogy; corporate tech control.
• 00:01:00 - Podcast Milestone: 10th episode origins; learning through discussions.
• 00:02:00 - TAO Highs: Year-to-date peak while others down; decoupling from Ethereum.
• 00:03:00 - CoinMarketCap Analysis: Bittensor's top 30 surge; market bearishness.
• 00:04:00 - Crypto Rankings: Removing wrapped/staked/memes; Bittensor's position.
• 00:05:00 - Bitcoin vs. NVIDIA: Flat crypto vs. stock gains; analyst views.
• 00:10:00 - Bearish Sentiment: Broader market optimism vs. crypto flatness.
• 00:15:00 - Risk-On Environment: Rate cuts, stablecoins, policy shifts.
• 00:20:00 - Institutional Inflows: Massive trading into Bitcoin as proxy.
• 00:25:00 - State Reserves: Florida/Texas allocating to Bitcoin.
• 00:30:00 - Crypto Policy: Institutions more comfortable with wide range.
• 00:35:00 - Decoupling Reasons: TAO's unique drivers amid crashes.
• 00:40:00 - Market Trends: Bearish views on Bitcoin's performance.
• 00:45:00 - NVIDIA Gains: Contrast with crypto flatness.
• 00:50:00 - Philosophical Reflections: Bittensor vs. Bitcoin evolution.
• 00:55:00 - Community Learning: Podcast's educational role.
• 01:00:00 - Macro Optimism: Stablecoins blowing up; institutional adoption.
• 01:05:00 - Bitcoin Reserves: National/state level emergence.
• 01:10:00 - TAO Surge: Blow through top 30; strong weeks.
• 01:15:00 - Analyst Perspectives: Bitcoin flat vs. stocks up.
• 01:20:00 - Decoupling Analysis: Reasons for TAO's independence.
• 01:25:00 - Wrap-Up: Happy Halloween; teaser for future episodes.

Key Takeaways:

• Bittensor as one of two scaled crypto technologies (with Bitcoin); decouples from Ethereum/Bitcoin, hitting year-to-date highs amid crashes.
• Market analysis: Bittensor blows through top 30; removing wrapped/staked/memes shows true rankings—bearish sentiment contrasts with gains.
• Bitcoin flat/medium vs. NVIDIA's 50-60% rise; broader risk-on with rate cuts, stablecoins, policy.
• Philosophical shift: From centralized (AOL) to decentralized (internet)—Bittensor contributes trillions in value.
• Podcast evolution: Started as chats; now educates on philosophy, tech, finance—happy milestone with psychedelic flair.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• Follow Hosts: @jaltucher & @josephjacks_ on X

Episode Description:

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Fiat insanity; Bitcoin as inflation solution; outrage at low savings rates.
• 00:01:00 - TAO Updates: Halving bullishness; subnet tipping points; institutional products (DCG/Grayscale).
• 00:02:00 - Three Mindshare Drivers: Halving debates, subnet news, institutional engagement creating TAO demand.
• 00:03:00 - Macro Environment: Risk-on (rate cuts, stablecoins, policy); Florida/Texas Bitcoin reserves.
• 00:04:00 - Bittensor Content Boom: Tutorials/videos/documentaries; explaining complexity.
• 00:10:00 - Equity Evolution: Alpha tokens as permissionless value; buying resources/companies.
• 00:15:00 - Valuations: DCF vs. incentive analysis; subnets undervalued vs. failing AI unicorns.
• 00:20:00 - Catalysts: Halving/supply drop, deregistration/demand rise, Ridges product, institutional inflows.
• 00:25:00 - TAO Decoupling: Multi-month highs amid Bitcoin/Ethereum crashes.
• 01:00:00 - Institutional Adoption: DCG funds/Grayscale ETF enabling subnet access.
• 01:10:00 - Stablecoins: $27T volume as crypto use case.
• 01:15:00 - AI Unicorns: 200-300 overvalued/failing vs. Bittensor's undervalued subnets.
• 01:20:00 - Equity/VC Role: Evolving philosophy; catalysts unstoppable.
• 01:26:00 - Wrap-Up: Exciting months ahead; consistent podcasts.
• 
  

Key Takeaways:

• Fiat inflation erodes 70-90% purchasing power; Bitcoin solves it via finite supply—TAO builds on this with abstracted incentives.
• TAO catalysts: Halving reduces selling, deregistration boosts demand, Ridges product rivals $100B+ centralized AI, institutional products (DCG/Grayscale) create buying pressure.
• Institutional adoption: DCG index funds/Grayscale ETF enable accredited access to subnets—converts to TAO, decoupling from Bitcoin/Ethereum crashes.
• Equity evolution: Alpha tokens enable permissionless value creation (buy resources/companies)—undervalued subnets vs. 200-300 failing AI unicorns with negative margins.
• Bittensor's complexity: Harder than Bitcoin but penetrable; subnets like Ridges/Bit Minds/404 Gen lead globally—philosophical community drives innovation.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• Follow Hosts: @jaltucher & @josephjacks_ on X

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor's unbeatable federation; Bitcoin as inflation solution; necessity/constraints/creativity.
• 00:01:00 - Explaining Bittensor: Complexity vs. Bitcoin/stablecoins; Satoshi's "convince you" quote.
• 00:02:00 - Money Evolution: Barter to crypto; $27T stablecoin transactions.
• 00:03:00 - Use Cases: Ridges (code gen), Bit Minds (deepfakes), 404 Gen (3D AI); AI/DeFi dominance.
• 00:04:00 - Community: Philosophical vs. trading; Satoshi's properties; Hyperliquid ($12B) vs. Bittensor ($3B AI lead).
• 00:05:00 - Subnet 35 Kartha: Hyperliquid on Bittensor; evolution of equity/alpha tokens.
• 00:10:00 - Alpha Value: Permissionless mining; buying resources/companies (e.g., Ridges' cheap compute).
• 00:15:00 - Valuations: DCF vs. incentive analysis; subnets undervalued vs. AI unicorns (200-300, most fail).
• 00:20:00 - Alpha Utility: Sustainable mechanisms; investing in alpha over equity.
• 00:55:00 - Wrap-Up: Short episode; teaser for subnets.

Key Takeaways:

• Bittensor as 100K+ TAO holder federation unbeatable by companies (e.g., OpenAI/Anthropic); abstracts incentives for any problem, generalizing Bitcoin's proof-of-work.
• AI/DeFi as crypto's top use cases: $27T stablecoin volume; subnets like Ridges/Bit Minds/404 Gen lead globally—philosophical community drives innovation.
• Evolution of equity: Alpha tokens enable permissionless value (mine without vesting, buy resources at 1/20th-1/30th cost)—replaces flawed VC (subnets undervalued vs. 200-300 failing AI unicorns).
• Valuations shift: DCF to incentive analysis; Bittensor's $3B AI lead (vs. Hyperliquid's $12B) undervalued—alpha for buying companies/resources, sustainable off-ramps needed.
• Complexity challenge: Harder than Bitcoin; Bitcoin solves inflation, Bittensor solves equity/VC—optimistic on penetration, like 15-year Bitcoin mainstreaming.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• 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

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor's young, motivated community; profound philosophy/impact.
• 00:01:00 - Toronto Recap: Google event, Targon/Dippy talks; live TAO Pod energy.
• 00:02:00 - DeepSeek's Rise: Outcompeting Western labs; $100M model vs. billions.
• 00:03:00 - Market Impact: January 2025 correction; Nvidia's response to supply/demand.
• 00:04:00 - Compute Financialization: Liquid markets/options for pricing; serverless/minute-level utilization.
• 00:05:00 - Targon Pricing: ~$1.20-1.30/hour for H200s (1/20th-1/30th competitors); 2K+ GPUs at zero cost.
• 00:06:00 - Miners/Data Centers: Slack resources/arbitrage; startups leveraging for evals.
• 01:30:00 - IP Extinction: AI makes copyright oxymoronic; maximum distribution/frictionless propagation.
• 01:35:00 - Wrap-Up: Bittensor's danger to overvalued companies; teaser for next episode.

Key Takeaways:

• Bittensor's community harnesses global miners for competitive, low-cost compute (e.g., Targon/Shoots at 1/20th-1/30th prices vs. cloud providers)—financialization enables granular pricing/options.
• DeepSeek's $100M model outpaces Western labs' billions; January 2025 marked hedge funds competing efficiently, triggering market corrections/Nvidia declines.
• AI extinguishes IP/copyright: Becomes arcane/oxymoronic as tech propagates frictionlessly without permission—Bittensor maximizes distribution.
• Bittensor as profound discovery: Like open source but for incentives; reduces friction for innovation/abundance, outcompeting centralized overvaluation.
• Over 200-300 AI unicorns skewed by OpenAI/Anthropic; median underperforms with negative margins—Bittensor enables sustainable, non-subsidized models.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• 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

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

Timestamps & Topics:

• 00:00:00 - Intro: Bittensor as combustion engine; IP extinction via AI; replacing capitalism/VC.
• 00:01:00 - Bitcoin vs. Bittensor: Specific vs. abstracted incentives; enormous electricity use vs. problem-solving flexibility.
• 00:02:00 - Bittensor's Generalization: Proof-of-useful-work for any commodity; user-generated incentives like YouTube content.
• 00:05:00 - Equity vs. Alpha Tokens: Permissioned vs. permissionless; subnets as equity-like but different.
• 00:07:00 - Clawed vs. Ridges: $10B+ VC vs. $600K; Bittensor's efficiency in talent/incentives.
• 00:10:00 - Permissionless Compensation: Mine subnets without interviews/vesting; top miners earn $2M+ yearly in days/month.
• 01:22:00 - Themes Recap: Bittensor's abstraction makes it "more valuable Bitcoin"; emerging TaoFi layers.
• 01:25:00 - Unbanked Issues: 9M US households; unfair institutions/gatekeepers vs. incentivism.
• 01:27:00 - Permissionless Tech: Open source/Bittensor reduces friction; turbocharges innovation/abundance.
• 01:28:00 - Wrap-Up: Bittensor's societal change; teaser for Toronto event.

Key Takeaways:

• Bittensor generalizes Bitcoin's proof-of-work into proof-of-useful-work for any problem/digital commodity—user-generated incentives like startups but permissionless.
• Replaces flawed capitalism/VC: Abstracts equity into alpha tokens; e.g., Ridges achieves billions in value with $600K vs. Clawed's $10B+—saves enormous capital/talent friction.
• Permissionless equity compensation: Mine subnets asynchronously without permission/vesting; top earners make $2M+ yearly in days/month, disrupting hiring/ownership.
• IP/copyright extinction: AI makes intellectual property oxymoronic; Bittensor fosters profound, humanity-wide innovation beyond regulated/centralized models.
• Societal impact: Reduces gatekeepers (e.g., banks/VCs); empowers unbanked/accredited—true incentivism for abundance, outpacing selfish equity.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): tao.app
• xAI: x.ai
• Follow Hosts: @jaltucher & @josephjacks_ on X

Episode Description:

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).

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor's cult-like ethos for positive impact; incentives for sustainability.
• 00:01:00 - Community Philosophy: Bittensor's depth (growing intelligence, redefining capitalism) vs. other tokens' trading focus.
• 00:02:00 - Open Source Origins: Richard Stallman's four freedoms; philosophical motivations in tech history.
• 00:06:00 - Operating Systems Roots: Carnegie Mellon's Mach kernel influencing Apple/Microsoft; TCP/IP's open source dominance.
• 00:09:00 - Incentives as Language: Expressing value/motivation; Bittensor's abstraction for problem-solving.
• 00:15:00 - Bittensor as Neural Network: Neurons (miners), axons/dendrites (validators), weights (incentives); continuous learning.
• 00:20:00 - Subnet Valuations: FDV vs. market cap; top subnets undervalued (e.g., $400-500M FDV for Shoots/Liam).
• 00:25:00 - Emission Schedules: Alpha tokens mine faster (63 years at 2x EMA); 95% circulating in 7-8 years.
• 00:30:00 - DTF Analysis: Discounted TAO flow like DCF; valuing future emissions/cash flows.
• 00:35:00 - Value Investing: Gap analysis on subnet productivity; top 10 massively undervalued long-term.
• 02:30:00 - TaoFi Opportunities: Financial layers (collars, options, borrowing) on future tokens; parallels to DeFi.
• 02:36:00 - Wrap-Up: Mathematical path to Bittensor > Bitcoin; teaser for next episode.

Key Takeaways:

• Bittensor's community is philosophically driven (e.g., gnostic wisdom, incentivism) for societal impact, unlike trading-focused token groups—key to long-term success.
• Open source freedoms (inspect/modify/distribute) empower users over tech; Bittensor extends this to incentives, abstracting value like a meta-language.
• Subnets as neural components: Miners (neurons) produce value, validators (axons/dendrites) route, incentives (weights) optimize—enabling continuous, humanity-scale problem-solving.
• Valuations via FDV/DTF: Top subnets undervalued (e.g., billions potential); alpha emission 2-3x faster than TAO, reaching 95% circulation in 7-8 years for rapid price discovery.
• Emerging TaoFi: Layer for options/collars on future tokens; Bittensor as "more valuable Bitcoin" via incentive abstraction, with DeFi-like financial innovations ahead.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io

• TAO App: tao.app

• xAI: x.ai
• 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

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor's humanity-scale advantage; internet/crypto parallels; unregulatable open source creativity.
• 00:01:00 - TAO Demand Math: Staking/users/validators for 1,000+ subnets; 10-15M additional TAO needed (vs. 9.5M circulating).
• 00:02:00 - Halving Event: December 2025 cuts emission from 7,200 to 3,600 TAO/day; scarcity impact.
• 00:03:00 - Alpha Tokens: 21M supply cap; faster emission (1.5-2x TAO); volatility from thin liquidity (e.g., 2M circulating alpha).
• 00:06:00 - Pool Dynamics: Price sensitivity in early stages; stability in 6-9 months as supply reaches 10-20%.
• 00:08:00 - Market Factors: Organic exchange listings; daily volume $100-200M; staking for emission ranking.
• 01:04:00 - Regulating Open Source AI: Eric Schmidt's views critiqued; impossible to regulate human curiosity/creativity.
• 01:05:00 - Dual-Use Tech: AI vs. nuclear weapons; kitchen knife analogy; good intentions vs. bad outcomes (e.g., student loans).
• 01:09:00 - Rational Optimism: History shows good outpaces bad (e.g., internet, Bitcoin); societies at all-time highs despite fears.
• 01:12:00 - Wrap-Up: Relax if not understanding everything; ride the wave of Bittensor's evolution.

Key Takeaways:

• Bittensor scales infinitely like the internet/crypto, outcompeting centralized solutions via permissionless, humanity-wide incentives—no company can match global creativity.
• TAO demand surges with subnet growth (post-128 cap removal): Back-of-envelope math shows 10-15M additional staked TAO for 1,000 subnets, vs. current 9.5M circulation; halving adds scarcity.
• Alpha tokens are volatile early due to thin liquidity (2M circulating vs. 21M cap), but stabilize as emission progresses—faster halving (every 2-3 years) accelerates price discovery.
• Open source AI is unregulatable, as it equates to stifling human curiosity; dual-use fears (e.g., biological weapons) are flawed—history proves innovation's net good outweighs risks.
• Optimism prevails: Regulations often backfire (e.g., tuition inflation from student loans); AI's progress mirrors societal advances, with good far outpacing bad in unregulated environments.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• xAI: x.ai
• Follow Hosts: @jaltucher & @josephjacks_ on X

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:

• 00:00:00 - Intro: Perverse tech incentives; Bittensor's uniqueness for humanity's control.
• 00:01:00 - Permissionless Front Ends: Building user-friendly interfaces without subnet approval.
• 00:03:00 - Subnet Ownership: Like stocks for ideas; equity vs. alpha tokens; manipulation risks.
• 00:07:00 - Incentives as Language: Transcending currencies; "incentivism" vs. capitalism.
• 00:09:00 - Bitcoin's Origins: Response to financial crises; interdisciplinary foundations.
• 00:15:00 - Trustless/Permissionless: Abstracting incentives from currency; self-choice in entrepreneurship.
• 00:18:00 - Multi-Layer Permissionlessness: Beyond usage—improvement, monetization, collaboration.
• 00:22:00 - Tech Monopolies: iPhone/Android duopoly; vertical integration (Tesla, Elon).
• 00:25:00 - Market Collapse: Advanced tech reduces choices; historical revolutions (steam, oil, AI).
• 00:28:00 - Nvidia's Monopoly: Supply chain lock-in; geopolitical implications.
• 00:31:00 - Escape Velocity: Centralized AI's capital/talent advantages vs. decentralization.
• 00:33:00 - Scaling Bittensor: $10/month subscriptions from 2B users for trillions in value.
• 00:36:00 - Front End Opportunities: Chicken-egg growth; expanding beyond technical users.
• 00:39:00 - Bitcast Example: Decentralized ad agency flipping trillion-dollar industry.
• 00:43:00 - TAO Hash: Decentralized Bitcoin mining; meta-incentives and pool co-ownership.
• 00:50:00 - Bittensor as Neural Network: Neurons, axons, dendrites—weights via incentives.
• 00:53:00 - Metcalfe/Reed's Law: Exponential value from subnets/interconnections.
• 00:55:00 - Age of Experience: Continuous learning AI; Bittensor as reinforcement models.
• 00:59:00 - Reinforcement Learning: AlphaZero; less human input for superior results.
• 01:02:00 - YouTube Data: Google's real-time training edge; Bittensor alternatives.
• 01:05:00 - Bittensor's Imperative: Success for humanity's control; failure risks monopoly.
• 01:09:00 - Open Source Limits: Commercial issues; Bittensor as sustainable upgrade.
• 01:15:00 - Wrap-Up: Evangelizing Bittensor; teaser for next episode.

Key Takeaways:

• Bittensor creates multi-layered permissionlessness, enabling anyone to build/improve/monetize without gatekeepers—countering centralized tech's perverse incentives.
• As "incentivism," Bittensor is a meta-language for incentives, transcending currencies and fostering trustless, interdisciplinary innovation like Bitcoin but for AI/computation.
• Historical revolutions show monopolization; Bittensor mitigates via scalable, continuous-learning models through reinforcement incentives.
• Subnets like Bitcast/TAO Hash disrupt trillions (e.g., ads, mining); unified front ends could drive adoption via $10/month TAO subscriptions, yielding 5-10x Bitcoin's value.

Resources & Links:

• Bittensor Official: bittensor.com
• Taostats (Explorer/TAO App): taostats.io
• Subnet 14 (TAO Hash): taostats.io/subnets/14
• Subnet 5: taostats.io/subnets/5
• Subnet 19 (Bitcast): taostats.io/subnets/19
• xAI: x.ai
• Follow Hosts: @jaltucher & @josephjacks_ on X

Subscribe for more on Bittensor subnets, AI building, and crypto trends! Leave a review and share your thoughts.

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.

Key Timestamps & Topics:

• 00:00:00 - Intro: Bittensor's disruption to AI incentives, governance, and improvement; early internet parallels.
• 00:01:00 - Real-World Use Case: Brainstorming an ER AI diagnostic model using Bittensor subnets (storage, training, inference).
• 00:07:00 - Commoditization: Bittensor surpasses open source by aligning intrinsic/extrinsic incentives.
• 00:17:00 - Search Engine Example: Reimagining Google via Bittensor's competitive subnets for spiders and categorization.
• 00:22:00 - Off-Chain Computation: Bittensor's Bitcoin-inspired design for infinite scalability.
• 00:33:00 - Consensus & Corruption: Probabilistic validation, subjective outputs, and real-world parallels.
• 00:40:00 - Templar Subnet: Distributed training for trillion-parameter models; Jensen Huang's views on decentralization.
• 00:46:00 - Repricing Assets: Bittensor democratizes AI superpowers, protects against arbitrary valuations.
• 00:50:00 - Inflation & Productivity: Fiat vs. Bitcoin/Bittensor; human error in monetary policy.
• 01:02:00 - Bittensor's Future: As "incentivism"—redefining capitalism without regulation.
• 01:09:00 - User Interfaces & Opportunity: Bittensor's "1991 internet" stage; need for better front ends.
• 01:15:00 - Open Source Limits: Missing economic models; Bittensor as successor with liquidity.
• 01:21:00 - Templar Economics: Speculation on scalable training; subnet competition.
• 01:26:00 - Distributed Challenges: Heterogeneous hardware vs. centralized homogeneity.
• 01:35:00 - Age of Experience: Continuous learning AI; Bittensor's evolving incentives.
• 01:36:00 - Jensen's Pushback: Slowing open source/decentralization to protect monopolies.
• 01:39:00 - Energy Subnets Idea: Incentivizing renewables/SMRs for AI power needs.
• 01:41:00 - Wrap-Up: Bittensor as carbon credits alternative; teaser for next episode.

Key Takeaways:

• Bittensor upgrades open source by adding extrinsic economic incentives, enabling commoditization beyond centralized labs.
• Off-chain computation allows infinite scalability for distributed training, potentially surpassing giants like Google in heterogeneous environments.
• As "incentivism," Bittensor reprices AI and protects against arbitrary valuations/inflation, democratizing tech participation.
• Subnets like Templar could achieve trillion-parameter models permissionlessly, addressing energy/compute bottlenecks via incentives.

Resources & Links:

1. Bittensor Official: bittensor.com
2. Taostats (Explorer/TAO App): taostats.io
3. Subnet 56 (Gradients): taostats.io/subnets/56
4. Subnet 3 (Templar): taostats.io/subnets/3
5. Subnet 64 (Chutes): taostats.io/subnets/64
6. Subnet 4 (Targon): taostats.io/subnets/4
7. Subnet 13 (Dataverse): macrocosmos.ai/sn13
8. xAI: x.ai
9. Follow Hosts: @jaltucher & @josephjacks_ on X

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