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AI Podcasts

January 30, 2026

Anthropic’s Rise: Is OpenAI Losing Its Lead? w/ Patrick & Duncan

Milk Road AI

AI
Key Takeaways:
  1. Trillion-dollar AI compute investments create market divergence: immediate monetization (Meta) is rewarded, while slower conversion (Microsoft) faces skepticism, as geopolitical tensions rise over open-source model parity.
  2. Prioritize AI models balancing raw intelligence with superior user experience and collaborative features, as developer loyalty and enterprise adoption increasingly hinge on usability.
  3. The AI landscape is rapidly reordering. Investors and builders must assess monetization pathways, geopolitical implications, and AI's social contract over the next 6-12 months.
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January 29, 2026

AI math capabilities could be jagged for a long time – Daniel Litt

Epoch AI

AI
Key Takeaways:
  1. The collapse of trial costs turns scientific discovery into a search problem.
  2. Prioritize verifiable problems where AI can provide a clear reward signal.
  3. AI will solve mildly interesting problems soon, but the Big Ideas still require human marination.
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January 25, 2026

If You Can't See Inside, How Do You Know It's THINKING? [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Trend: The transition from opaque scaling to verifiable reasoning.
  2. The Tactical Edge: Audit your models for brittleness by testing them on edge cases that require first principles logic rather than historical data.
  3. The Bottom Line: The next winners in AI will not have the biggest models but the most verifiable ones. If you cannot prove how a model reached a conclusion, you cannot trust it in production.
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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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Crypto Podcasts

April 8, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Buy the Dip (Carefully): In times of extreme fear (VIX 50+, Equities -20%), layer into positions incrementally; don't try to perfectly time the bottom or get trapped holding losers.
  2. Bitcoin's Moment?: Deglobalization, capital controls, and foreign stimulus could provide short-to-medium term tailwinds for Bitcoin, potentially decoupling it from traditional risk assets.
  3. Inflation Is Likely Toast: Barring a hot war, the economic slowdown from tariffs likely outweighs direct price impacts, paving the way for eventual Fed easing, even if Powell plays coy for now.
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April 8, 2025

The State Of Solana With Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Apps Outearn the Chain: Solana apps are generating nearly twice the revenue ($1.84) per dollar compared to the network itself, proving strong economic viability on the platform.
  2. Fundamentals Over Price: Despite SOL's price drop, core network health indicators like stablecoin supply and DEX activity remain robust, suggesting the sell-off may be detached from on-chain reality.
  3. L1 Scaling is Priority: Solana is doubling down on enhancing the L1 directly via upgrades (like TPU feedback) and app-level innovation (off-chain elements), rejecting Ethereum's L2 path to keep liquidity unified.
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April 8, 2025

Grifters, Meme Coins & the Solana Comeback

The Rollup

Crypto
Key Takeaways:
  1. Grifters Follow the Heat: Speculative actors migrate to blockchains with the highest activity and potential returns, currently favouring Solana's meme coin ecosystem.
  2. Meme Coins Drive Cycles: Love them or hate them, meme coins are a powerful catalyst for user activity, price appreciation, and ecosystem attention, replicating patterns seen in Ethereum's growth.
  3. Underdog Narratives Fuel Growth: Facing adversity can forge strong, defiant communities (like Solana post-FTX) that focus inward and drive significant comebacks, echoing Ethereum's own path to dominance.
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April 7, 2025

How to Raise Crypto VC, Investing in DePIN, Network States, and the Electro Dollar with Anirudh Pai

Proof of Coverage Media

Crypto
Key Takeaways:
  1. Real Demand Trumps Hype: Prove long-term user need and cultivate raving fans; that’s the best pitch.
  2. DePIN Needs Web2 Polish: Solve user friction, especially payments, before reinventing complex crypto-native wheels.
  3. Bet on Abundance & Serendipity: The future hinges on cheap energy and compute ("Electro Dollar"), found through irrational exploration, not just rigid pattern-matching.
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April 7, 2025

Trump vs Markets: Who Blinks First? | Avi Felman & Jonah Van Bourg

Forward Guidance

Crypto
Key Takeaways:
  1. Buy the Fear (Strategically): Extreme volatility, record volume, and forced selling signal potential bottoms; scaling into weakness is preferred over trying to perfectly time the low.
  2. Crypto Gains Relative Strength: Bitcoin benefits from deglobalization trends and anticipated global stimulus (ex-US), potentially outperforming traditional assets in this environment.
  3. Inflation Fears Overblown, Fed Pivot Likely: The market crash itself is deflationary; expect the Fed to tolerate the pain to kill inflation, then pivot towards easing (likely starting May), further supporting risk assets eventually.
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April 7, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Trump's Gambit: The tariff chaos might be a high-stakes strategy to isolate China, forcing allies to choose sides and share the burden of the US security umbrella.
  2. Buy the Blood (Carefully): With equities down ~20% and VIX elevated, it's time to cautiously scale into risk assets, accepting potential short-term pain to catch an eventual rebound.
  3. Bitcoin's Edge: De-globalization and reactive global stimulus position Bitcoin favorably, potentially decoupling (or at least outperforming) traditional assets in the near term.
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