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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 21, 2026

How Nansen’s New Trading Agent Makes It Easier to Follow the Smart Money Onchain

Unchained

Crypto
Key Takeaways:
  1. The commoditization of technical infrastructure means alpha moves from who has the data to who has the best prompts.
  2. Test agentic workflows with small capital amounts to identify where natural language outperforms manual execution.
  3. The next 12 months will see a transition from manual click-and-sign trading to intent-based portfolio management.
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January 21, 2026

Quadrillions: How to Win the World | Chris Maurice

Empire

Crypto
Key Takeaways:
  1. The transition from public peer-to-peer narratives to private B2B infrastructure that connects local bonds to global stablecoins.
  2. Build for the back end of the product by integrating with local financial institutions that already own the user relationship.
  3. The next year will see the rise of global dollar-denominated accounts, making the US dollar a truly borderless commodity.
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January 21, 2026

Market Structure, Macro Volatility, and the Next Phase of Crypto | Michael Anderson & Vance Spencer

Bell Curve

Crypto
Key Takeaways:
  1. The transition from L1 wars to on-chain businesses means capital is moving toward protocols with clear revenue-sharing models.
  2. Monitor Bitmine’s ETH accumulation and the launch of Blackwell GPU clusters. Position in protocols that bridge the gap between AI infrastructure financing and stablecoin liquidity.
  3. The next year belongs to the capital assassins who can blend meme-driven distribution with hard-nosed corporate finance.
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January 20, 2026

LIVE: MegaETH, Pump, NYSE | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The Macro Migration: Value is moving from base layers to applications that own the end-user relationship. This transition favors integrated platforms over modular protocols.
  2. The Tactical Edge: Monitor platforms that successfully integrate vertical services like Phantom or Pump.fun. These Everything Apps are the most likely candidates for sustainable revenue growth.
  3. The Bottom Line: The next six months will favor teams that prioritize revenue and user stickiness over speculative token launches.
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January 19, 2026

Why Grayscale Sees ATHs Before Q3, With ETH Outperforming: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. The erosion of central bank independence turns fiscal debt into a marketing campaign for hard-capped digital assets.
  2. Accumulate Ethereum and top-tier smart contract platforms that offer staking yields before the $40 trillion advised wealth pool begins its structural rotation.
  3. The next year will be defined by the transition from speculative retail trading to structural institutional accumulation driven by a global flight from debasing fiat.
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January 16, 2026

Claude Code, Stablecoin Adoption, and 2026 Trends | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. AI-driven productivity is meeting institutional stablecoin adoption to create hyper-efficient financial services.
  2. Integrate AI-assisted coding into every department to maintain a lean headcount.
  3. Success in the next cycle requires the grit to build through the quiet periods and the agility to utilize AI for rapid product iteration.
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