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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

January 10, 2026

Why Crypto Still Struggles to Capture the Value It Creates | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. The transition from "Software as a Service" to "Software as a Network" where value flows to the protocol layer.
  2. Prioritize infrastructure that owns the end-user relationship or provides essential stability for open stacks.
  3. AI models will migrate to crypto rails to solve the monetization gap that has hindered open-source development for forty years.
See full notes
January 10, 2026

LIVE: Aerodrome and Metadex03 | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The Macro Trend: The transition from fragmented L2 liquidity to unified cross-chain execution.
  2. The Tactical Edge: Monitor Arrow’s Q2 launch on Mainnet to capitalize on the initial liquidity migration.
  3. The Bottom Line: Arrow is building the operating system for Ethereum liquidity. If they capture even a fraction of Mainnet the economic model moves from inflationary to net-positive.
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January 10, 2026

Jordi Alexander on Market Outlook, Token Buybacks, and Neo Finance

The Rollup

Crypto
Key Takeaways:
  1. The move from "fugazi decentralization" to "Neo Finance" means capital will flee empty L1s for protocols with verifiable revenue.
  2. Accumulate Bitcoin as a macro hedge while building a basket of revenue-generating alts like Meteora or Hyperliquid during price dips.
  3. Survival in 2026 requires moving past the "infra thesis" to find projects that treat their token as a real financial instrument.
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January 10, 2026

Zcash drama, stablecoin adoption, reinsurance markets & onchain reputation with Iron, Re, and Fluent

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: The Unification. Legacy finance is unbundling into onchain modules where yield is derived from real-world economic activity rather than token emissions.
  2. The Tactical Edge: Audit your yield. Move capital toward protocols like RE that bridge to non-self-referential markets.
  3. The Bottom Line: The next 12 months belong to "Neo-Finance" players who dominate the boring work of regulatory compliance and fiat integration.
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January 9, 2026

Lighter’s Token Launch, Erebor Raises $350M & Walmart's Crypto Strategy

Empire

Crypto
Key Takeaways:
  1. The market is bifurcating into protocols with real product market fit and a long tail of zombie assets.
  2. Monitor the "One Pay" app ecosystem for integration opportunities.
  3. 2026 is the year stablecoins move from treasury management to domestic retail reality.
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January 9, 2026

Aerodrome’s Big Upgrade | Alexander Cutler

0xResearch

Crypto
Key Takeaways:
  1. The Macro Transition: Vertical Liquidity. Exchanges are evolving from passive pools into active revenue collectors that capture MEV and launch fees to subsidize liquidity.
  2. The Tactical Edge: Monitor Aero. Watch the Metadex03 launch in Q2 to see if liquidity migrates from Uniswap to the higher-yield Aero pools on Ethereum Mainnet.
  3. The Bottom Line: Aero is betting that better economics for liquidity providers will always win the war for volume. If they successfully export their Base dominance to Mainnet, the decentralized exchange hierarchy will be permanently altered over the next 12 months.
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