10 Hours of Listening.
5 Minutes of Reading.

Deep dives into the conversations shaping the future of AI, Robotics & Crypto.

Save hours of your time each week with our podcast aggregator

🔍 Search & Filter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes
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.
See full notes

Crypto Podcasts

December 18, 2025

Hivemind: Crypto Is Dead with Dougie DeLuca

Empire

Crypto
Key Takeaways:
  1. Strategic Implication: The industry's future lies in seamless integration with the broader economy, making blockchain an invisible, value-adding layer for everyday products.
  2. Builder/Investor Note: Focus on projects solving real problems, demonstrating product-market fit in proven sectors (stablecoins, perps, token issuance), and prioritizing user experience over maximalist decentralization.
  3. The "So What?": The next 6-12 months will reward deep research and conviction in quality assets, as the market shifts from speculative narratives to tangible utility and real-world adoption.
See full notes
December 18, 2025

Why Gen Z Will Turn Everything Into a Market | Threadguy

Bankless

Crypto
Key Takeaways:
  1. Strategic Implication: The lines between traditional finance, crypto, and cultural markets will blur. "Internet markets" will encompass everything, driven by attention and mimetics.
  2. Builder/Investor Note: Focus on platforms that facilitate permissionless market creation and enhance the "spectacle" of trading. User experience that feels as native as social media will capture Gen Z's capital.
  3. The "So What?": Crypto's open, liquid, and attention-driven nature makes it the ultimate infrastructure for this new financial paradigm. The next decade will see an explosion of internet asset trading, with crypto at its core.
See full notes
December 18, 2025

Solana's Biggest Opportunity In 2026 | Dan Smith

Lightspeed

Crypto
Key Takeaways:
  1. Strategic Implication: Solana's focus on PropAMMs and perpetuals is a foundational shift, positioning it as a global financial hub rather than just a speculative playground. This creates a more sustainable revenue model for the chain.
  2. Builder/Investor Note: Builders should leverage Solana's market structure for innovative financial primitives. Investors must scrutinize tokenomics, especially the "two-asset model," and prioritize projects with transparent investor relations.
  3. The "So What?": The next 6-12 months will see a significant increase in onchain trading sophistication and volume on Solana, driven by PropAMMs and the expansion into perpetuals. This will attract more institutional capital and solidify Solana's role in global finance.
See full notes
December 18, 2025

🟦 Base Eco & Coinbase System Update Mega Stream

The Rollup

Crypto
Key Takeaways:
  1. Market Bifurcation: The crypto market is splitting. Protocols with strong FinTech distribution partnerships (the "DeFi mullets") will outpace those relying solely on crypto-native power users.
  2. Builder/Investor Note: Builders should prioritize Base App integration and AI-driven simplification. Investors should identify DeFi protocols securing these large-scale distribution deals and those building in tokenized RWAs and prediction markets.
  3. The "So What?": Coinbase's aggressive expansion into traditional assets, combined with Base App's creator-first, self-custodial "everything app" vision, signals a significant push for mainstream adoption. The next 6-12 months will see a race to onboard millions of new users and creators, fundamentally reshaping how we interact with finance and digital ownership.
See full notes
December 18, 2025

Solana’s Big Upgrade, Aave’s Civil War & the Problem With Token Value: Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. Clarity is King: The industry needs clearer, legally defensible definitions of token holder rights and revenue accrual to build trust and sustainable value.
  2. Builder/Investor Note: Builders should prioritize explicit tokenomics and robust governance. Investors must scrutinize token rights beyond speculative narratives and be hyper-vigilant against social engineering scams.
  3. The "So What?": The next 6-12 months will test which projects can evolve beyond ambiguous structures to deliver tangible value and accountability, separating sustainable innovation from speculative chaos.
See full notes
December 17, 2025

S3 Ep3_V1

The People's AI

Crypto
Key Takeaways:
  1. **Evolving Human-AI Interaction:** Our relationship with AI, especially digital personas, will evolve rapidly. Society will develop "genre literacy" to understand and integrate these new forms of connection.
  2. **Builder/Investor Note:** Prioritize user agency in design. Implement "sunsets" for grief bots and avoid intrusive notifications. Invest in decentralized data solutions that empower individual control over digital legacy.
  3. **The "So What?":** Grief tech forces a philosophical reckoning. As digital personas become more sophisticated, the very definition of "death" and "being alive" will blur, creating unprecedented social, legal, and economic implications.
See full notes