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AI Podcasts

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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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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Crypto Podcasts

December 16, 2025

Visa Stablecoin Strategy, N3on Crashout, AXL Acquisition, JPMorgan MMF on Ethereum & Nexus x Rialo

The Rollup

Crypto
Key Takeaways:
  1. Strategic Implication: The future of crypto is increasingly defined by institutional adoption, driven by the need for verifiable, private, and compliant digital assets and systems.
  2. Builder/Investor Note: Focus on foundational technologies like ZK proofs and secure interoperability. Avoid speculative retail trends that lack long-term utility.
  3. The "So What?": The convergence of AI and blockchain will redefine trust. Builders who integrate ZKPs to authenticate AI outputs and ensure agent accountability will capture significant value in the next 6-12 months.
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December 16, 2025

10 Crypto Predictions for 2026: $1M BTC, Wall Street Onchain & ETF Takeover

Bankless

Crypto
Key Takeaways:
  1. Strategic Implication: Crypto is transitioning from a niche, retail-driven asset class to a mainstream, institutionally-backed financial infrastructure. This shift will drive sustained growth, reduced volatility, and lower correlation with traditional assets.
  2. Builder/Investor Note: Re-evaluate crypto allocations, recognizing the shift from retail-driven cycles to institutional adoption. Explore diversified exposure beyond Bitcoin, including ETH, Solana, and high-quality DeFi tokens as their economic capture improves. The rise of on-chain vaults indicates demand for professional, diversified asset management strategies on-chain.
  3. The "So What?": The market is vastly underestimating the fundamental progress and institutional acceptance of crypto. The "suit coiners" are bullish for a reason, and their capital will reshape the landscape in 2026 and beyond.
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December 15, 2025

When Do We Buy, Global M2, Does Crypto Need A Catalyst, & Owning Your L’s

1000x Podcast

Crypto
Key Takeaways:
  1. Strategic Implication: The crypto market is maturing. Expect smaller percentage returns and less volatile swings, but a stronger foundation for assets with real value.
  2. Builder/Investor Note: Focus on Bitcoin accumulation in the identified value zone. Avoid speculative altcoin bets unless they demonstrate clear utility and sustainable economics.
  3. The "So What?": The market is in a temporary lull due to year-end flows and M2 divergence. Position for a potential rebound in January, driven by fresh capital and anticipated Western stimulus.
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December 15, 2025

Bittensor TAO First Halving || Live community call

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways:
  1. TAO's Centrality: The halving reinforces TAO's role as the ecosystem's core asset, with its scarcity driving value for all denominated subnet tokens.
  2. Builder/Investor Note: Focus on subnet "flow" and long-term vision over immediate revenue. Identify projects with strong community and innovative tech, as TAO Flow will accelerate the decline of underperforming subnets.
  3. The "So What?": Bittensor is entering a more mature, capital-efficient phase. The halving and technical upgrades create a more elastic market, rewarding genuine innovation and stake accumulation, while weeding out less viable projects.
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December 15, 2025

AI Knows You Too Well: Is Privacy a Lost Cause? | Andy Yen, Founder of Proton

Bankless

Crypto
Key Takeaways:
  1. Strategic Shift: The battle for privacy is a battle for power asymmetry. Companies with transparent, privacy-aligned business models (e.g., Proton's hybrid non-profit/for-profit structure) offer a viable alternative to surveillance capitalism.
  2. Builder/Investor Note: Invest in and build open-source, privacy-preserving infrastructure and applications with strong technical guarantees. The shrinking gap between open-source and proprietary AI makes this increasingly feasible and competitive.
  3. The "So What?": Your digital identity is paramount. Switching your primary email from a Big Tech provider (like Gmail) to a privacy-focused one (like Proton Mail) is a high-impact, low-effort action to opt out of pervasive data consolidation and reclaim agency in the digital age.
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December 14, 2025

Be Careful With Your Taxes If You Have Crypto ETFs: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Proactive Tax Planning: Engage in tax loss harvesting now, leveraging the current wash sale exemption (with economic substance).
  2. Meticulous Record Keeping: The 1099-DA will be incomplete. Investors must maintain robust personal records for all crypto activity, especially for ETPs and DeFi.
  3. Software Opportunity: The complexity creates a massive market for sophisticated crypto tax software that can aggregate data and reconcile discrepancies.
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