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

June 17, 2025

Analyzing Public Crypto Vehicles This Cycle

Empire

Crypto
Key Takeaways:
  1. **Public Equities Offer Familiarity:** Investors are gravitating towards public crypto vehicles for their established legal structures and operational simplicity over direct token holdings.
  2. **Leverage Looks Different Now:** Today's public crypto plays (e.g., MicroStrategy) exhibit significantly less leverage than the high-risk trades that caused meltdowns last cycle.
  3. **Securities Classification Could Be Bullish:** Regulating tokens as securities might unlock substantial institutional capital, providing clearer rules and bolstering market stability.
See full notes
June 17, 2025

Solana ETFs Are Coming With Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. **Solana ETFs are knocking on the door**, potentially armed with staking yield and a clearer TradFi narrative than their Ethereum counterparts.
  2. **The DEX arena is a battlefield**: CLOBs on specialized infrastructure are rising, challenging AMMs and reshaping liquidity for everything from blue-chips to memecoins.
  3. **Stablecoins are crypto's killer app going mainstream**, with Circle's IPO firing the starting gun for broader investor participation and a new wave of competition.
See full notes
June 17, 2025

How to Actually Grow on Crypto Twitter in 2025

The DCo Podcast

Crypto
Key Takeaways:
  1. Authenticity Over Algorithms: Ditch the generic social media playbook; your genuine interest in a specific crypto niche is your most potent growth tool.
  2. Niche Down to Blow Up: Become the go-to source for your specific passion (e.g., memecoins, DeFi protocols) by sharing your unique process and insights.
  3. The Audience Knows: Users can "sniff out" disingenuous content. Real interest and transparent sharing build trust and attract a loyal following.
See full notes
June 16, 2025

The State Of Crypto Derivatives

Empire

Crypto
Key Takeaways:
  1. **Risk Re-Priced**: Post-2022, understanding and mitigating counterparty and correlated risk is paramount; high returns often masked these dangers.
  2. **TradFi Rails Accelerate Crypto**: Publicly traded vehicles and ETFs are becoming key on-ramps, channeling traditional capital into crypto and reshaping market dynamics, notably compressing volatility.
  3. **Fundamental & On-Chain Focus**: Durable value (on-chain credit, strong L1s like Solana, revenue-generating protocols) and innovative on-chain derivatives platforms (like Hyperliquid) are prime areas of growth and investor interest.
See full notes
June 16, 2025

How to Value L1s?

Lightspeed

Crypto
Key Takeaways:
  1. App Revenue as a Current Yardstick: For now, L1 "GDP" (market cap / app revenue) offers a more stable cross-chain valuation tool than direct fees, providing an "apples-to-apples" comparison.
  2. The Inevitable Value Shift: Expect a future where applications, not L1s, capture the lion's share of value, as app take rates and business models mature. L1 valuations may compress as app valuations expand.
  3. L1s Must Innovate to Retain Value: Blockchains like Solana are actively strategizing (e.g., application-specific sequencing) to keep successful apps within their ecosystems, highlighting the growing pressure on L1s to prove their enduring value proposition beyond basic infrastructure.
See full notes
June 15, 2025

VCs Weigh In On Crypto Treasury Companies

Empire

Crypto
Key Takeaways:
  1. Treasury Strategies: High-Risk, Short-Term Plays: These vehicles are built for quick flips, not lasting value, with a high chance of premiums vanishing and values dropping below NAV.
  2. Beware the "Mania": The proliferation of treasury vehicles with increasingly lax terms signals a speculative fever; MicroStrategy is an outlier, not the rule.
  3. VCs Bet on Endurance: True crypto investing, from a venture perspective, demands patience and a focus on fundamental, long-term growth, distinct from chasing fleeting treasury premiums.
See full notes