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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

February 2, 2026

Why BitGo Went Public | Mike Belshe

Empire

Crypto
Key Takeaways:
  1. Regulatory clarity and institutional demand are converging, driving a fundamental re-architecture of financial market infrastructure. This shift will see traditional finance increasingly rely on regulated crypto-native service providers.
  2. Builders and investors should prioritize infrastructure providers that offer robust regulatory compliance and fiduciary protection, as these are the non-negotiable requirements for the next wave of institutional capital.
  3. The digital asset industry is poised for massive growth, driven by Wall Street's entry. Companies like BitGo, by building transparent, regulated infrastructure, are not just participating in this growth; they are actively shaping the future of finance, making now the time to understand these foundational shifts.
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February 2, 2026

Curated Credit: How Maple and Morpho Approach DeFi Lending | Sid Powell & Merlin Egalite

0xResearch

Crypto
Key Takeaways:
  1. Institutional capital is eyeing DeFi, pushing for tokenized real-world assets like private credit and bonds to diversify yield sources beyond crypto-backed loans. This requires robust risk isolation at the smart contract level and a new generation of independent risk assessors to bridge TradFi and DeFi.
  2. Prioritize protocols that offer explicit risk profiles and transparent fee structures, especially those building towards intent-based lending. For builders, focus on creating infrastructure that supports isolated risk and attracts independent rating agencies.
  3. The future of DeFi lending hinges on transparency and sophisticated risk management. As institutions enter, the demand for clear, independently verified risk assessments will intensify, making protocols that embrace these principles the winners in the next market cycle.
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February 2, 2026

The Last Companies That Will Ever Exist

Bankless

Crypto
Key Takeaways:
  1. The global economy is transitioning from a "bits" era of digital innovation to an "atoms" era, driven by AI and robotics, where control over physical resources and their efficient deployment becomes the ultimate competitive advantage.
  2. Prioritize investments in companies demonstrating vertical integration across intelligence, energy, and labor, especially those building physical infrastructure and manufacturing capabilities at scale.
  3. The race to acquire the "Infinity Gauntlet" of capitalism is on. Companies that achieve self-sufficiency in intelligence, energy, and labor will redefine economic power, making traditional capital almost irrelevant and creating a new class of unassailable monopolies.
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February 2, 2026

Logan Jastremski: Solana vs Hyperliquid - Who Wins The Global Exchange Race?

Delphi Digital

Crypto
Key Takeaways:
  1. The global financial system demands 24/7, credibly neutral price discovery. This pushes blockchain architecture beyond raw throughput to geographically optimized, low-latency transaction inclusion, creating a truly global market.
  2. Invest in infrastructure and applications on chains pursuing multi-leader consensus and proprietary AMMs. These designs offer superior price discovery and execution for the next generation of global trading.
  3. The global exchange race is an engineering marathon, not a sprint. While Hyperliquid excels regionally, Solana's architectural bet on physics-defying global fairness aims to become the world's true price oracle, unlocking trillions in new trading volume.
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February 2, 2026

How to Fix Tokenized Securities with Olivia Olivia Vande Woude from Ava Labs

The Rollup

Crypto
Key Takeaways:
  1. Trust is moving from opaque balance sheets to verifiable, cryptographically enforced infrastructure. This means financial protocols, not just institutions, will increasingly dictate settlement, custody, and compliance.
  2. Prioritize tokenized assets and investment vehicles that offer direct legal claims and verifiable on-chain mechanics. For builders, focus on creating infrastructure that eliminates intermediaries and provides transparent, programmable utility, like vaults.
  3. The future of finance is about verifiable infrastructure and programmable ownership. Understanding the nuances of tokenized security structures and the rise of on-chain vaults will be critical for investors and builders navigating the convergence of traditional finance and DeFi over the next 6-12 months.
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February 2, 2026

The 1010 Exploit and other broken market structures

The Gwart Show

Crypto
Key Takeaways:
  1. The market is demanding verifiable, transparent, and capital-efficient trading venues that eliminate the hidden risks of centralized intermediaries. This pushes innovation towards fully onchain, unified risk engines.
  2. Explore platforms that integrate multiple DeFi primitives (spot, perp, lending) under a single, onchain risk engine. These venues offer superior capital efficiency and potentially higher risk-adjusted returns for sophisticated strategies like basis trades.
  3. The next wave of DeFi success will come from platforms that solve for capital productivity and verifiable safety, attracting institutional and sophisticated retail capital by offering returns previously unattainable in fragmented or opaque markets.
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