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AI Podcasts

January 23, 2026

Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Transition from "Spectator Knowledge" (passive data absorption) to "Interactive Knowledge" (agentic engagement).
  2. Prioritize "embodied" AI architectures that integrate sensory feedback loops.
  3. AGI will not be solved by better math alone. It requires accounting for the physical and biological constraints that define intelligence.
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January 23, 2026

Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay 2

Latent Space

AI
Key Takeaways:
  1. The transition from more data to better thinking via inference-time compute. Reasoning is becoming a post-training capability rather than a pre-training byproduct.
  2. Use AI for anti-gravity coding to automate bug fixes and data visualization. Treat the model as a passive aura that buffs the productivity of every senior engineer.
  3. AGI will not be a collection of narrow tools but a single model that reasons its way through any domain. The gap between closed labs and open source is widening as these reasoning tricks compound.
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January 21, 2026

"We Made a Dream Machine That Runs on Your Gaming PC"

Machine Learning Street Talk

AI
Key Takeaways:
  1. The transition from static LLMs to interactive world models marks the move from AI as a tool to AI as a persistent environment.
  2. Monitor the Hugging Face release of the 2B model to build custom image-to-experience wrappers for niche training or spatial entertainment.
  3. Local world models will become the primary interface for spatial computing within the next year, making high-end local compute more valuable than cloud-based streaming.
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January 18, 2026

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Strategic Pivot: The transition from "Understanding-First" science to "Prediction-First" engineering. We are building artifacts that work perfectly but remain theoretically opaque.
  2. The Tactical Edge: Audit your AI stack for "Leaky Abstractions." Don't assume a model's reasoning capabilities in one domain will hold when the underlying causal structure changes.
  3. AGI isn't just an engineering milestone; it's a philosophical wager. If the brain isn't a computer, we are building a very powerful helicopter, not a synthetic human.
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January 18, 2026

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The pivot from "Understanding-First" science to "Prediction-First" engineering creates massive technical liability in our models.
  2. Audit your AI implementations for "Leaky Abstractions" where the model fails to account for physical edge cases.
  3. High-performance automation is not the same as sentient reasoning. Builders who recognize this distinction will avoid the cultural illusion of inevitable AGI.
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January 17, 2026

Brex’s AI Hail Mary — With CTO James Reggio

Latent Space

AI
Key Takeaways:
  1. The transition from deterministic software to agentic networks. Companies are moving from rigid workflows to fluid systems that plan and execute autonomously.
  2. Build an internal LLM gateway early. Centralizing model routing and cost monitoring allows you to swap providers as the model horse race changes without refactoring your product.
  3. AI is not just a feature but a fundamental restructuring of the corporate cost center. Efficiency gains allow a static headcount of 300 engineers to support a business growing 5x.
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January 14, 2026

Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0

AI Engineer

AI
Key Takeaways:
  1. The transition from interactive chat to autonomous "task runners" requires a shift from session-based identity to delegated, long-term authorization.
  2. Implement the Token Vault pattern to decouple your agent logic from the mess of OAuth token refreshing.
  3. In the next year, the "Agentic Web" will live or die by trust. If you cannot prove an agent is authorized to act, it is just a fancy toy.
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January 15, 2026

AI and the Future of Warfare with US Under Secretary of War Emil Michael

No Priors: AI, Machine Learning, Tech, & Startups

AI
Key Takeaways:
  1. The Macro Shift: The Great Re-Shoring. National security now depends on domestic production of critical minerals and semiconductors.
  2. The Tactical Edge: Build for Scale. Prioritize manufacturing competence over pure software features to win government contracts.
  3. The Bottom Line: The defense industrial base is being rebuilt from the ground up. The next decade belongs to the builders who can merge Silicon Valley speed with the Pentagon's scale.
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January 15, 2026

Ben & Marc: Why Everything Is About to Get 10x Bigger

a16z

AI
Key Takeaways:
  1. The transition from software eating the world to AI reinventing the computer means every existing market cap is a floor.
  2. Prioritize the non-fungible creator by providing monetization tools that bypass legacy gatekeepers.
  3. We are entering a period of asymmetric payoffs where the art of picking original thinkers matters more than historical data.
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Crypto Podcasts

August 25, 2025

Commissioner Peirce On SEC’s Next Moves

Empire

Crypto
Key Takeaways:
  1. Frameworks, Not Fights: The SEC is shifting from broad prohibitions to creating specific, workable rules for token launches. The goal is to bring this crucial capital formation activity back to the U.S. under a clear and compliant regime.
  2. Decentralization Changes the Game: True decentralization isn't just a buzzword; it fundamentally challenges the existing regulatory model. For truly peer-to-peer protocols, the old playbook of licensing intermediaries may no longer apply.
  3. The Best Defense is Utility: The crypto industry's greatest protection against future regulatory hostility is to build things with real, lasting value. Use this period of clearer skies to create products and services that prove the technology's worth beyond speculation.
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August 24, 2025

Will LINK Flip XRP? with Zach Rynes

The Rollup

Crypto
Key Takeaways:
  1. Bet on the Ecosystem, Not the Silo: Chainlink’s value is tied to the growth of the entire blockchain space, making it a diversified bet on institutional adoption. XRP’s success is a narrow wager on its own ledger and asset gaining dominance.
  2. Follow the Proof, Not the Promises: Chainlink’s public partnerships with firms like Swift and JP Morgan provide concrete evidence of traction. This stands in sharp contrast to XRP's long-unfulfilled, NDA-shrouded narrative.
  3. Infrastructure is the Ultimate Power Play: By providing a comprehensive suite of essential services (data, cross-chain, compliance), Chainlink is building a defensible moat as the go-to infrastructure platform for Web3, with no direct all-in-one competitor in sight.
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August 23, 2025

Former Yahoo Music Executive on Crypto's Inevitable Centralization Points with Ian Rogers

The Rollup

Crypto
Key Takeaways:
  1. **Value is a Function of Time:** Bitcoin's greatest asset is its 15-year track record. Lasting value isn't about technology alone; it's about a powerful story that withstands the test of time, creating an insulated brand.
  2. **Self-Custody is the Premise:** The entire value proposition of crypto hinges on eliminating counterparty risk. Compromising on self-custody and security for the sake of convenience is a recurring mistake that "always blows up."
  3. **Adoption Will Be Abstracted:** The future of crypto for the masses is one where the complexity is hidden. Centralized user experiences will run on decentralized rails, delivering the benefits of crypto (lower fees, faster settlement) without the unforgiving user experience.
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August 22, 2025

Making $5M in Unconventional Trades w/ 0xLaw

Taiki Maeda

Crypto
Key Takeaways:
  1. **Stop Gambling, Start Engineering.** The biggest edge isn’t in predicting price but in finding and exploiting structural market inefficiencies. Focus on trades where you can control or heavily influence the outcome, like RFV plays or creating self-fulfilling prophecies in prediction markets.
  2. **Become the Casino.** The crypto market is filled with speculation. By providing liquidity, farming yields, and taking the other side of gamblers (e.g., selling Pendle PTs), you can generate consistent, lower-risk returns. Farmers, on average, outperform directional traders over the long term.
  3. **Alpha Lives in the Weeds.** The most significant opportunities aren’t on the front page of Twitter. They’re buried in obscure Discord servers, complex protocol mechanics (like Aerodrome’s bribes), and emerging platforms with low capital efficiency like Polymarket.
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August 22, 2025

Robinhood’s Vlad Tenev Claps Back: From Memecoins to Real Assets – The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. Private Markets Are the New Public: The real unlock for tokenization isn't just 24/7 stock trading—it's bringing high-growth private companies to retail investors, with or without the company's blessing.
  2. The Great Convergence Is Here: The line between a crypto exchange and a stock brokerage is disappearing. Robinhood and its competitors are converging on a single "financial super app" model where all assets live in one place.
  3. Regulation Has Created a Paradox: The current system allows unlimited speculation on assets with zero fundamental value (memecoins) but blocks access to premier private equity. Robinhood is betting this logic won't hold.
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August 22, 2025

Bittensor Brief #5: $TAO = The Early Internet?

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. Embrace the Friction: The current difficulty of investing in Bittensor subnets is a feature, not a bug. It’s the moat that has suppressed valuations, creating an opportunity akin to buying Bitcoin on Mt. Gox before Coinbase existed.
  2. A 3-6 Month Catalyst Window: The development of bridges and institutional infrastructure is the primary catalyst. This window represents the final moments to gain exposure before capital can flow in easily, likely re-rating the entire ecosystem.
  3. Think Startups, Not Just Tokens: Evaluate subnets like early-stage companies. Use resources like the *Revenue Search* podcast to analyze financials and projects like Shush (AI inference), Score (AI vision), and Quantum (public quantum computing) as real, venture-style bets.
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