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 29, 2025

Beyond Leaderboards: LMArena’s Mission to Make AI Reliable

a16z

AI
Key Takeaways:
  1. Reliability Demands Real-Time, Human-Centric Testing: Static benchmarks are dead. AI reliability for complex tasks requires continuous evaluation based on diverse, subjective human preferences in real-world scenarios.
  2. Crowd-Sourced Evaluation Outperforms Insular Expertise: The "wisdom of the crowd," as captured by LMArena, provides a more robust and representative measure of AI performance than siloed expert opinions, preventing narrow value-encoding.
  3. Personalized Evaluation is the Next Frontier: Technologies like "Prompt to Leaderboard" show the potential for highly granular, cost-effective, and personalized AI model selection, maximizing utility for individual users and specific tasks.
See full notes
May 28, 2025

Rick Rubin: Vibe Coding is the Punk Rock of Software

a16z

AI
Key Takeaways:
  1. Embrace AI as a Co-Creator: Leverage AI to democratize creation and rapidly iterate, but remember the unique human element—your distinct point of view and intuition—is irreplaceable.
  2. Authenticity Over Algorithm: Whether you're an artist or an entrepreneur, genuine connection comes from unwavering commitment to your core vision, not by chasing fleeting trends or assumed audience desires.
  3. Question Everything, Especially "Answers": Cultivate a mindset of curiosity and critical thinking. AI can provide answers, but true insight comes from deeply engaging with questions and understanding that knowledge is ever-evolving.
See full notes
May 27, 2025

7 More Healthy Years: What We Can Learn from Super Agers

a16z

AI
Key Takeaways:
  1. Embrace AI-Powered Prevention: AI's capacity to synthesize vast health data will redefine personalized risk assessment and early intervention, moving us beyond one-size-fits-all healthcare.
  2. Target the "Big Three" Early: Focus on preventing cancer, cardiovascular disease, and neurodegenerative conditions by leveraging their long incubation periods for proactive interventions.
  3. Leverage New Therapeutic Frontiers: Groundbreaking drug classes like GLP-1s and rapid advancements in immunotherapy offer unprecedented tools to combat and, crucially, prevent major diseases.
See full notes
May 27, 2025

TAOFU's Mikel & Mitch: Enabling Capital Formation for Subnets on Bittensors $10B+ Network

Delphi Digital

AI
Key Takeaways:
  1. Democratized Subnet Funding: TAOFU’s SNS model allows subnet creators to raise capital without diluting their core emission-earning potential, fostering more shots on goal for AI innovation on Bittensor.
  2. Investor Access & Liquidity: For investors, TAOFU provides a clear mechanism (SNS tokens and an integrated DEX) to invest in early-stage Bittensor subnets and gain liquidity, previously a closed-off and opaque process.
  3. Curated Quality: TAOFU’s permissioned approach and focus on sustainable value capture (with plans for a curator model) aim to filter for high-quality projects, protecting investors while nurturing promising AI ventures within Bittensor.
See full notes
May 26, 2025

Has AI Revived the DePIN Sector? | Dmitriy Berenzon

0xResearch

AI
Key Takeaways:
  1. AI is DePIN's Demand Catalyst: The need for affordable AI compute is breathing new life and tangible demand into decentralized infrastructure.
  2. Value Accrual & Revenue are King: For DePIN tokens to thrive in liquid markets, clear mechanisms for value flow-through from opco revenue to the token are non-negotiable; "ARR is the new TVL."
  3. Distribution Trumps Decentralization (for now): Crypto-native solutions, especially in payments, must crack the distribution code or risk being outmaneuvered by Web2 incumbents leveraging their massive user bases.
See full notes
May 26, 2025

Chatbot platforms might replace social media

Machine Learning Street Talk

AI
Key Takeaways:
  1. AI Companionship is Exploding: Millions are already deeply engaged with AI for emotional connection, and this is just the beginning as technology like GPT-4o normalizes it.
  2. Lean Engineering Can Win: Chai's success with a tiny, hyper-talented team and innovative techniques like model blending proves that massive VC-backed operations aren't the only path to scale in AI.
  3. The Next Social Platform Might Be AI: As AI offers more active, personalized, and consequence-free social interaction, it could very well become the dominant way people connect, potentially supplanting traditional social media.
See full notes
May 25, 2025

How Endless Debt Became America's Culture

Forward Guidance

AI
Key Takeaways:
  1. **Debt is Destiny:** America's fiscal irresponsibility and cultural embrace of debt ensure ongoing money printing and inflation, making currency debasement a near certainty.
  2. **The One True Trade:** Forget complex analytics; the primary goal is preserving purchasing power. This means owning store-of-value assets like Bitcoin and gold, which are positioned to thrive.
  3. **AI Accelerates the Crisis:** Artificial intelligence will not only disrupt labor markets but also intensify the debt crisis by devaluing traditional education and fueling calls for more government relief.
See full notes
May 24, 2025

SN85 :: VIDAIO :: Decentralized AI Video Upscaling & Compression ++ Roadmap & Enterprise Utility

Opentensor Foundation

AI
Key Takeaways:
  1. Decentralized AI is Production-Ready: VIDAIO demonstrates that complex AI tasks like video processing can be effectively decentralized and optimized through BitTensor's subnet model, with miners already outperforming base models.
  2. Perceptual Quality Wins: Focusing on human-perceived video quality, rather than just raw specs, is key for AI video tools, leading to more efficient and visually appealing results.
  3. Subnets Must Aim for Self-Sufficiency: The long-term viability of BitTensor subnets hinges on generating real-world revenue and solving actual customer problems, moving beyond reliance on token emissions.
See full notes
May 24, 2025

Sovereign AI: Why Nations Are Building Their Own Models

a16z

AI
Key Takeaways:
  1. National AI is Non-Negotiable: Countries are investing heavily in "AI factories" to control their digital destiny and cultural narratives.
  2. Models are Culture: AI outputs reflect embedded values, making local control over AI development and deployment a geopolitical imperative.
  3. Lead by Building Better: The US can maintain AI leadership by out-innovating competitors and enabling allies, pursuing "foundation model diplomacy" to ensure its technology underpins global progress.
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