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

May 23, 2025

How Decentralized Data Marketplaces Could Reshape AI Forever

The People's AI

AI
Key Takeaways:
  1. Data is the New Asset Class: Vana is pioneering frameworks (like VRC20) to treat data as an ownable, tradable asset, potentially revolutionizing finance as much as property ownership once did.
  2. Market Makers Will Ignite Liquidity: The emergence of "data market makers" is projected to significantly enhance capital flow and price discovery in decentralized data marketplaces.
  3. From UBI to UDI: Instead of a Universal Basic Income, imagine a Universal Data Income where you’re paid for your unique data contributions that make AI more human and effective.
See full notes
May 23, 2025

Building AI Systems You Can Trust

a16z

AI
Key Takeaways:
  1. Trust Trumps Tweaks: Stop chasing marginal performance gains if you haven't nailed reliability; the biggest barrier to AI value is a lack of confidence, not capability.
  2. Embrace Behavioral Intelligence: Shift from only evaluating final outputs to continuously testing the how and why of AI behavior across the entire system, especially for non-deterministic and non-stationary models.
  3. Platformize for Prudence: Enterprises must build or adopt centralized GenAI platforms with robust logging and testing to manage risk, ensure consistency, and provide developers with the tools to build trustworthy AI.
See full notes
May 22, 2025

AI, Middle East, China, Tariffs, Recon Bill, Invest America | BG2 w/ Bill Gurley & Brad Gerstner

Bg2 Pod

AI
Key Takeaways:
  1. AI Diplomacy is a Two-Way Street: The US pivot to an open, partnership-based AI strategy, particularly in the Middle East, is attracting massive reciprocal investment and securing American tech leadership.
  2. Calculated Tariffs, Critical Tech Race: A more pragmatic China tariff policy ($300B projected) offers market stability, but ongoing AI chip export bans may inadvertently fuel China's independent tech advancement.
  3. Foundational Economic & Legal Shifts Brewing: "Invest America" within the Recon Bill signifies a novel approach to wealth distribution, while challenges to Delaware's corporate law dominance and new crypto regulations like the "Genius Act" signal major structural reforms in legal and financial landscapes.
See full notes
May 21, 2025

David Choi & Conor Moore: USD.AI - Financing the Future of AI Infra

Delphi Digital

AI
Key Takeaways:
  1. USDAI is pioneering a new model for real-world asset (RWA) financing, focusing on the booming AI and DePIN hardware sector. It combines robust legal frameworks with DeFi mechanisms to offer compelling yield opportunities and solve critical growth bottlenecks.
  2. Real Yield, Real Assets: USDAI offers a sustainable yield (targeting mid-teens to 20% APY for stakers at maturity) backed by productive, cash-flowing hardware, not just crypto-speculation.
  3. DePIN Scalability Unlocked: Provides a crucial debt financing layer for capital-intensive DePIN operators, enabling faster growth and reduced reliance on inflationary token incentives.
See full notes
May 17, 2025

The Time To Invest Is Now

Forward Guidance

AI
Key Takeaways:
  1. Invest in Robotics Now: The sector presents a rare chance to buy into a long-term secular growth story at cyclically depressed prices, just as the related automotive downturn shows signs of bottoming.
  2. Humanoids are Affordable & Approaching: With models priced competitively and key costs in mechanics, not chips, the widespread adoption of humanoid robots is increasingly practical.
  3. Teleoperation is the Bridge: Expect an interim period where humans remotely pilot robots, creating "Robotics as a Service" and smoothly transitioning labor before full AI autonomy dominates.
See full notes
May 16, 2025

ChatGPT Codex: The Missing Manual

Latent Space

AI
Key Takeaways:
  1. ChatGPT Codex isn't just another coding assistant; it's a leap towards autonomous software engineering agents. Success hinges on a new collaborative mindset and preparing codebases for AI interaction.
  2. Delegate, Don't Micromanage: Leverage ChatGPT Codex's ability to run multiple (even 60/hour) long-running tasks in parallel. Think abundance, not scarcity of compute.
  3. Structure for Success: Implement agents.md, linters, and modular architecture. This isn't just good practice; it’s crucial for AI agent performance.
See full notes
May 16, 2025

The Next Big Trade Is Hiding In Plain Sight | Citrini

Forward Guidance

AI
Key Takeaways:
  1. Fiscal Focus: Anticipate a narrative shift from trade wars to tax cuts and deregulation, with significant government spending directed towards defense and areas where the U.S. lags China.
  2. Robotics Rising: The robotics sector offers a compelling investment case, buying secular growth at cyclical lows, especially as the automotive cycle bottoms and AI seeks real-world applications.
  3. Strategic Positioning: Consider a "barbell" approach in robotics: US companies for AI software and "brains," while acknowledging China's lead in cost-effective hardware, potentially through imports if tariffs allow.
See full notes
May 16, 2025

Who's Coding Now? - AI and the Future of Software Development

a16z

AI
Key Takeaways:
  1. AI is Reshaping Value: AI coding is a multi-trillion dollar opportunity, fundamentally altering developer productivity and economic output in the software industry.
  2. Developer Roles Evolve, Not Disappear: The craft shifts towards specification, architectural thinking, and AI collaboration, making "nitty-gritty" coding less central but foundational CS principles more critical.
  3. Embrace Informed Skepticism: AI tools are powerful but imperfect; developers must critically evaluate AI outputs, especially "hallucinations," and understand the chaotic-system nature AI introduces.
See full notes
May 15, 2025

Crypto + AI Is Exploding — But What’s Real vs Hype? Top VCs Spill All.

The People's AI

AI
Key Takeaways:
  1. Prioritize Problem-Solving: Crypto must offer tangible solutions to AI's limitations (e.g., bootstrapping costs, agent payments, data sourcing) rather than being a superficial addition.
  2. Demand Agent Utility: AI agents need a clear purpose for tokenization; speculative hype won't cut it. Verifiable, composable agent systems for complex tasks are the goal.
  3. Bet on Data & Modularity: Decentralized, high-quality data aggregation (e.g., Vanna) and modular, interoperable AI systems represent the most promising paths to disruptive innovation.
See full notes

Crypto Podcasts

January 28, 2026

LIVE: BITGO IPO, HIP-3, KNTQ | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. Capital no longer distinguishes between AI stocks and rare metals. Investors treat these as a single risk-on bucket settled on-chain.
  2. Monitor Hyperliquid deployers. Identify protocols moving from passive yield to active market-making to capture the next commodity rotation.
  3. The next year will favor platforms providing access to diverse asset classes. Pure crypto protocols must adapt or lose mindshare to trade everything venues.
See full notes
January 26, 2026

Metals Alt Season, Catchup Trades, Bitcoin vs Gold, Crypto Is Dead

1000x Podcast

Crypto
Key Takeaways:
  1. The Macro Transition: Hard Asset Migration. As fiat currencies lose purchasing power, capital moves into finite assets, starting with Gold and Bitcoin before trickling down to Silver and Ethereum.
  2. The Tactical Edge: Buy the Laggard. Identify assets with strong fundamentals that have underperformed the market leader by more than 30%.
  3. The Bottom Line: The catchup trade is the most profitable strategy when the primary leaders are consolidating.
See full notes
January 24, 2026

Gold Sets the Bar, But Bitcoin Can Catch Up. Here’s How: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. The institutionalization of Bitcoin has temporarily sacrificed its digital gold status for liquidity, creating a massive opportunity for those who can stomach the volatility before the next decoupling.
  2. Monitor Japanese government bond yields as a leading indicator for global risk tolerance.
  3. Bitcoin is currently a liquidity sponge, not a bunker. Expect it to follow the Trump Put and tech earnings until its volatility profile mirrors a currency rather than a speculative stock.
See full notes
January 23, 2026

The Intersection of AI and Crypto: What Worked, What Didn’t, and What’s Next | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. The market is moving from the "Compute Layer" to the "Agentic Layer." Owning the GPU is less valuable than owning the agent that controls the wallet.
  2. Build agent-first interfaces. Stop designing for human clicks and start structuring your data so an LLM can execute transactions on your behalf.
  3. The next 12 months belong to on-chain agents that handle treasury ops and commerce. The "decentralized GPU" narrative is dead. The "AI Agent with a bank account" narrative is just beginning.
See full notes
January 23, 2026

The “Quantum Threat” Behind Bitcoin’s Sudden Sell-Off

Bankless

Crypto
Key Takeaways:
  1. The transition from global cooperation to regional protectionism is driving a capital outflow loop that favors hard assets over sovereign debt.
  2. Monitor the development of quantum-resistant signatures on alternative L1s to hedge against Bitcoin’s potential cryptographic obsolescence.
  3. The next year will be defined by the race to tokenize real-world assets and the struggle to maintain protocol relevance as TradFi giants enter the arena.
See full notes
January 22, 2026

DePIN’s Biggest New Deal: Valeo x NATIX | Alireza Ghods

Proof of Coverage Media

Crypto
Key Takeaways:
  1. The transition from digital-only AI to Physical AI requires a massive bridge of high-fidelity video data.
  2. Monitor DePIN projects that move from "map-to-earn" to "train-to-earn" for foundational models.
  3. NATIX is no longer just a mapping company; it is the data refinery for the next generation of autonomous machines.
See full notes