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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

May 13, 2025

Bits + Bips LIVE: US-China Tariff Deal Reignite Markets

Unchained

Crypto
Key Takeaways:
  1. Tariff Truce is Tactical: The 90-day US-China tariff pause offers temporary relief, but the underlying trade war isn't over; expect continued market sensitivity to policy shifts.
  2. Bitcoin's Macro Moment: Bitcoin's strong performance amidst geopolitical and economic uncertainty solidifies its narrative as a non-sovereign store of value and a crucial portfolio diversifier.
  3. Crypto Regs on Horizon: Despite DC's legislative snags, the potent combination of crypto industry lobbying and perceived national benefits (like stablecoins aiding deficit financing) makes eventual regulation highly probable.
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May 12, 2025

Apps Are Taking Over Crypto | 6th Man Ventures

0xResearch

Crypto
Key Takeaways:
  1. Apps Over Infra: The investment pendulum is swinging decisively towards applications that can onboard millions and generate real revenue, marking a shift from the "fat protocol" to the "fat app" era.
  2. Ecosystems are King: Choice of blockchain (Solana, Base leading for consumer) is critical; building on unproven chains is a gamble few startups can afford. Expect consolidation.
  3. Revenue & Vision Rule: Success stories like Pump.fun highlight that agile teams with a broad vision beyond niche crypto use cases (and real revenue) will capture significant market share.
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May 12, 2025

How To Build The Most Performant L1

Lightspeed

Crypto
Key Takeaways:
  1. Performance First, Decentralization Follows: L1s that prioritize and achieve superior performance will attract the most activity, leading to higher revenues and, consequently, a greater number of incentivized, decentralized validators.
  2. Profit Over Philanthropy: Forget "running a node for the cause"; long-term decentralization hinges on validators earning more than they spend. Net income is king.
  3. Solana's Uncapped Potential: Solana's design aims to break the mold by enabling an ever-increasing number of validators without sacrificing its high-speed performance, offering a path to maximal decentralization.
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May 10, 2025

Crypto Market Makers EXPOSED: Inside the $38M Move Token Dump - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. **Red Flag Deals:** "Profit-share dump" incentives, as seen with Movement, are distinct from standard, healthier market maker compensation and warrant extreme investor caution.
  2. **Transparency is Non-Negotiable:** Public disclosure of market maker terms (loan size, strike prices) is crucial for informed retail decision-making and market integrity.
  3. **Vet Your Visionaries:** For investors, a team's hyper-focus on marketing over demonstrable tech, coupled with opaque dealings like Movement's, are significant red flags; demand substance over hype.
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May 9, 2025

Lightspeed Cross-Post: Can Ethereum Scale The L1? | Weekly Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Efficiency Isn't Centralization: Rapid, coordinated responses to network threats are signs of a healthy, aligned ecosystem, not inherent centralization.
  2. L1 Scaling is a Grind: Ethereum's path to a more performant L1 is fraught with technical challenges and competitive pressure, with no guarantee of reclaiming its past dominance in on-chain activity.
  3. Performance Pays for Decentralization: The L1s that can deliver sustained high performance will attract activity and revenue, creating the strongest economic incentives for a truly decentralized validator set.
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May 9, 2025

Coinbase Buys Deribit, Stripe’s Stablecoin Launch, and Ethereum’s Pectra Upgrade | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. The crypto space is witnessing an intense period of building and institutional adoption, fundamentally reshaping financial infrastructure.
  2. Real-World Integration Accelerates: Major players like Coinbase and Stripe are not just dipping toes but diving headfirst, embedding crypto into mainstream finance and global commerce.
  3. Stablecoins are the New Global Rails: With Stripe's expansion and the US Treasury's bullish $2T forecast, stablecoins are becoming indispensable for borderless, efficient payments.
  4. On-Chain Capital Markets Are Here: The tokenization of real-world assets, particularly equities via platforms like Superstate, is paving the way for more liquid, accessible, and programmable financial markets.
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