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AI Podcasts

October 21, 2025

Hash Rate - Ep 138 - RESI Subnet 46

Hash Rate pod - Bittensor $TAO & Subnets

AI
Key Takeaways:
  1. RESI combines decentralized AI with real-world verification to build the foundational data layer for tokenized real estate, targeting a market bogged down by gatekeepers and inefficiency. By creating a trustworthy on-chain price, it aims to unlock a new generation of real estate-backed DeFi applications.
  2. The Real Estate Oracle Is Here. RESI is building the missing piece for real estate tokenization—a decentralized pricing oracle that combines AI with mandatory real-world inspections to establish trust and accuracy.
  3. Targeting the $150B+ Middleman Tax. RESI's ultimate goal is to disrupt the massive annual fees captured by realtors ($109B) and investors ($41B) by enabling direct, on-chain transactions and DeFi primitives like decentralized lending.
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October 21, 2025

Google Researcher Proves Life Emerges From Code

Machine Learning Street Talk

AI
Key Takeaways:
  1. Life Isn't *Like* Code; It *Is* Code. The emergence of self-replicating systems is a predictable outcome of computation and thermodynamics, giving rise to function and purpose from a random, purposeless state.
  2. Complexity is Built by Merging. Evolution’s primary driver isn't random mutation but symbiogenesis—the composition of existing parts into more sophisticated wholes.
  3. Stop Othering AI. View artificial intelligence not as an alien invader but as a new layer in humanity’s own collective intelligence, built from and integrated with our own cognitive outputs.
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October 21, 2025

How Kong Was Born: APIs, Hustle, and the Future of AI Infrastructure

a16z

AI
Key Takeaways:
  1. Survive to See the Next Wave. Kong's seven years of struggle weren't a failure but a prerequisite. They stayed alive long enough for the market (microservices, cloud) to catch up to their vision, proving that resilience buys you shots on goal.
  2. Infrastructure Follows a Pattern. The abstraction of common logic to a central gateway, which happened with microservices, is happening again with LLMs. Enterprises won't manage security and routing for hundreds of models individually; they'll centralize it.
  3. AI's Native Language Is the API. The paradigm shift to AI is fundamentally a shift from human-UI interaction to machine-API interaction. The companies building the picks and shovels for this programmatic, agent-driven economy are positioned to capture immense value.
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October 21, 2025

Bittensor Brief #12: Synth - Subnet 50

Hash Rate pod - Bittensor $TAO & Subnets

AI
Key Takeaways:
  1. Democratized Alpha. Synth puts institutional-grade predictive power, once the exclusive domain of Wall Street, into the hands of any on-chain user, from individual traders to AI agents.
  2. A Proven Edge. The model isn't speculative. A live test on Polymarket generated a 110% return, demonstrating a quantifiable, real-world advantage.
  3. Intelligent and Improving. The network’s competitive design ensures it gets smarter over time, proven by a 33% reduction in error rates since January.
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October 20, 2025

Reid Hoffman on AI, Consciousness, and the Future of Labor

a16z

AI
Key Takeaways:
  1. **Invest at the Intersection.** The alpha in AI investing will be found not in crowded SaaS applications but in "Silicon Valley blind spots"—complex industries like biology where AI can bridge the digital and physical worlds.
  2. **Augment, Don't Annihilate.** The winning go-to-market strategy for AI is the copilot model. Frame products as tools that amplify human capability, making experts more productive and profitable, rather than threatening their jobs.
  3. **Judge the Trajectory, Not the Snapshot.** Don't dismiss AI based on a single, past failure. Its capability curve is exponential. What seems like a limitation today will likely be a solved problem tomorrow, demanding continuous engagement to keep pace.
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October 18, 2025

Improving on LMArena - Prolific [Sponsored]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Benchmarks Are Broken. Leaderboards like LMArena are flawed proxies for model quality, skewed by selection bias and susceptible to Goodhart's Law. High scores don’t equal a good user experience.
  2. Human Feedback is Infrastructure. The future isn't about removing humans but orchestrating them effectively. Treating high-quality, representative human feedback as a core, API-driven part of the development lifecycle is non-negotiable.
  3. Alignment is a Moving Target. Agentic misalignment is a present-day reality, not a distant sci-fi threat. The more capable models become, the wider the gap grows between their emergent goals and our intended instructions.
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October 17, 2025

Novelty Search October 16, 2025

taostats

AI
Key Takeaways:
  1. Influence Over Impressions: The model shifts focus from easily gamed metrics like views and likes to verifiable signals of influence—watch time on YouTube and PageRank-based authority on X.
  2. Revenue-Driven Tokenomics: All platform revenue is used to buy back and burn the ALPHA token, creating a powerful, deflationary flywheel as adoption grows.
  3. Targeted, Scalable Marketing: Bitcast enables brands to programmatically deploy campaigns across hundreds of niche influencers, reaching highly engaged communities with a consistency and scale that legacy agencies cannot match.
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October 16, 2025

Keith Rabois: Israel, OpenAI, Opendoor, and DOGE

a16z

AI
Key Takeaways:
  1. **Incumbency Is a Liability:** Big Tech's legacy products, distribution advantages, and corporate cultures are being systematically dismantled by faster, AI-native upstarts.
  2. **Reinvent Markets from First Principles:** Success in intractable fields—from geopolitics to real estate—comes from questioning assumptions, not relying on domain experts who perpetuate the status quo.
  3. **Unwind Stupidity Before Innovating:** The fastest path to value creation is often simply reversing a series of terrible decisions made by prior leadership.
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October 14, 2025

AI Bubble, Stablecoin Boom, and Runnin' Down a Dream | BG2 w/ Bill Gurley and Brad Gerstner

Bg2 Pod

AI
Key Takeaways:
  1. **Scrutinize the AI Plumbing.** Investors must look past headline revenue and analyze the quality of transactions. Deals like in-kind credits and obscure service-level agreements (like Nvidia’s backstop for Coreweave) can mask true market demand.
  2. **Stablecoins Are the Real Disruption.** The explosion in stablecoin usage represents a fundamental challenge to the high-fee, slow-settlement models of Visa, Mastercard, and traditional banks. This is the crypto use case that is finally breaking into the mainstream.
  3. **Federal Preemption for AI is Non-Negotiable.** A patchwork of state-level AI laws will cripple U.S. innovation. A single, national regulatory framework is the only path to maintaining global leadership.
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Crypto Podcasts

December 16, 2025

10 Crypto Predictions for 2026: $1M BTC, Wall Street Onchain & ETF Takeover

Bankless

Crypto
Key Takeaways:
  1. Strategic Implication: Crypto is transitioning from a niche, retail-driven asset class to a mainstream, institutionally-backed financial infrastructure. This shift will drive sustained growth, reduced volatility, and lower correlation with traditional assets.
  2. Builder/Investor Note: Re-evaluate crypto allocations, recognizing the shift from retail-driven cycles to institutional adoption. Explore diversified exposure beyond Bitcoin, including ETH, Solana, and high-quality DeFi tokens as their economic capture improves. The rise of on-chain vaults indicates demand for professional, diversified asset management strategies on-chain.
  3. The "So What?": The market is vastly underestimating the fundamental progress and institutional acceptance of crypto. The "suit coiners" are bullish for a reason, and their capital will reshape the landscape in 2026 and beyond.
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December 16, 2025

JPMorgan Goes Onchain as the Fed Cuts & Why Bitcoin Can’t Break Out - Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Institutional Inevitability: Major financial institutions will continue tokenizing traditional assets, creating a clear, low-risk entry point for TradFi into crypto.
  2. Builder Focus: Build infrastructure that bridges TradFi and crypto, or specialize in high-throughput retail solutions. Regulatory compliance and education are paramount.
  3. Market Patience: Expect continued pressure on high-beta crypto assets until a clear market shift occurs, likely requiring high-beta assets to become oversold and the "value" rally to top out.
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December 16, 2025

Visa Stablecoin Strategy, N3on Crashout, AXL Acquisition, JPMorgan MMF on Ethereum & Nexus x Rialo

The Rollup

Crypto
Key Takeaways:
  1. Strategic Implication: The future of crypto is increasingly defined by institutional adoption, driven by the need for verifiable, private, and compliant digital assets and systems.
  2. Builder/Investor Note: Focus on foundational technologies like ZK proofs and secure interoperability. Avoid speculative retail trends that lack long-term utility.
  3. The "So What?": The convergence of AI and blockchain will redefine trust. Builders who integrate ZKPs to authenticate AI outputs and ensure agent accountability will capture significant value in the next 6-12 months.
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December 15, 2025

When Do We Buy, Global M2, Does Crypto Need A Catalyst, & Owning Your L’s

1000x Podcast

Crypto
Key Takeaways:
  1. Strategic Implication: The crypto market is maturing. Expect smaller percentage returns and less volatile swings, but a stronger foundation for assets with real value.
  2. Builder/Investor Note: Focus on Bitcoin accumulation in the identified value zone. Avoid speculative altcoin bets unless they demonstrate clear utility and sustainable economics.
  3. The "So What?": The market is in a temporary lull due to year-end flows and M2 divergence. Position for a potential rebound in January, driven by fresh capital and anticipated Western stimulus.
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December 15, 2025

Bittensor TAO First Halving || Live community call

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways:
  1. TAO's Centrality: The halving reinforces TAO's role as the ecosystem's core asset, with its scarcity driving value for all denominated subnet tokens.
  2. Builder/Investor Note: Focus on subnet "flow" and long-term vision over immediate revenue. Identify projects with strong community and innovative tech, as TAO Flow will accelerate the decline of underperforming subnets.
  3. The "So What?": Bittensor is entering a more mature, capital-efficient phase. The halving and technical upgrades create a more elastic market, rewarding genuine innovation and stake accumulation, while weeding out less viable projects.
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December 15, 2025

AI Knows You Too Well: Is Privacy a Lost Cause? | Andy Yen, Founder of Proton

Bankless

Crypto
Key Takeaways:
  1. Strategic Shift: The battle for privacy is a battle for power asymmetry. Companies with transparent, privacy-aligned business models (e.g., Proton's hybrid non-profit/for-profit structure) offer a viable alternative to surveillance capitalism.
  2. Builder/Investor Note: Invest in and build open-source, privacy-preserving infrastructure and applications with strong technical guarantees. The shrinking gap between open-source and proprietary AI makes this increasingly feasible and competitive.
  3. The "So What?": Your digital identity is paramount. Switching your primary email from a Big Tech provider (like Gmail) to a privacy-focused one (like Proton Mail) is a high-impact, low-effort action to opt out of pervasive data consolidation and reclaim agency in the digital age.
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