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AI Podcasts

December 11, 2025

No Priors Ep. 143 | With ElevenLabs Co-Founder Mati Staniszewski

No Priors: AI, Machine Learning, Tech, & Startups

AI
Key Takeaways:
  1. Strategic Shift: The future of human-computer interaction is voice-first, moving from static content to dynamic, personalized, and agentic experiences.
  2. Builder/Investor Note: Defensibility in AI is increasingly found in deep product layers, specialized architectural breakthroughs (especially in audio), and robust ecosystems, not just raw model scale.
  3. The "So What?": Over the next 6-12 months, expect to see significant advancements in proactive AI agents, immersive media, and personalized education, with voice as the core interface.
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December 10, 2025

The Unicorn Founder Who Delegated Everything.

a16z

AI
Key Takeaways:
  1. The AI-Delegation Revolution is Here: Start experimenting with AI tools like ChatGPT for delegation now. The future involves proactive machine assistants deeply integrated into your workflow.
  2. Builders & Investors: Focus on "How to Delegate": The biggest constraint isn't finding assistants, but teaching clients how to delegate effectively. Tools and services that educate delegators will win.
  3. Reclaim Your Ambition: By offloading the mundane, you free up mental bandwidth to think bigger, pursue more ambitious goals, and ultimately, control your most valuable asset: time.
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December 12, 2025

AI Eats the World: Benedict Evans on the Next Platform Shift

a16z

AI
Key Takeaways:
  1. Strategic Implication: The AI bubble is inevitable. Focus on defensible positions: deep product integration, proprietary data, and distribution, rather than just raw model performance.
  2. Builder/Investor Note: The opportunity lies in productizing AI for specific "jobs to be done" within niche industries, creating intuitive UIs, and building in validation, not just building another foundational model.
  3. The "So What?": We're about to figure out the true "job to be done" for many industries. AI will unbundle existing businesses by exposing their hidden inefficiencies or non-obvious defensibilities.
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December 13, 2025

The Mathematical Foundations of Intelligence [Professor Yi Ma]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Embrace Parsimony and Self-Consistency: Adopt these principles as guiding forces in AI design. Build models that not only compress data efficiently but also maintain a high degree of self-consistency to ensure accurate and reliable world models.
  2. Focus on Abstraction, Not Just Memorization: Prioritize developing systems that can abstract knowledge beyond mere memorization. Move beyond surface-level compression and aim for models that can discover and reason about the underlying principles of the world.
  3. Understand and Reproduce the Brain’s Mechanisms: Focus on understanding and reproducing the mechanisms in the human brain that enable deductive reasoning, logical thinking, and the creation of new scientific theories to truly push AI to the next level.
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December 10, 2025

Nav Kumar: Trishool, AI Alignment, Subnet 23, Mechanistic Interpretability, Rogue LLMs | Ep. 75

Ventura Labs

AI
Key Takeaways:
  1. **Prioritize AI Safety Research:** Invest aggressively in understanding and mitigating AI risks to safeguard humanity against potential rogue LLMs.
  2. **Support Decentralized AI Alignment:** Champion decentralized platforms like Bit Tensor and initiatives like Trishool that promote open and transparent AI alignment research.
  3. **Embrace Mechanistic Interpretability:** Drive the development of tools that enable us to understand and control the internal workings of AI models, ensuring alignment with human values.
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December 10, 2025

Everyone Needs an Assistant. Here’s Why.

a16z

AI
Key Takeaways:
  1. Embrace Delegation as a Foundational Skill: Whether you leverage AI or human support, mastering delegation is paramount for unlocking personal and professional potential.
  2. Prioritize Time Ownership: Recognize time as your most valuable asset and design your life and calendar around your highest goals.
  3. Start Small, Scale Intentionally: Begin with affordable AI tools and gradually incorporate human assistance as your budget and needs evolve, building trust and compounding leverage over time.
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December 8, 2025

Building The Chip That Could Unlock AGI | Naveen Rao

a16z

AI
Key Takeaways:
  1. **Embrace Analog:** Explore and invest in analog computing solutions to overcome the energy limitations of current digital AI systems.
  2. **Prioritize Causality:** Shift focus towards AI models that incorporate time and causality, potentially unlocking more advanced and human-like intelligence.
  3. **Support Hardware Innovation:** Invest in and foster startups like Unconventional AI that are tackling fundamental challenges in AI hardware.
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December 8, 2025

Why AI Will Have To Run On Blockchains

The DCo Podcast

AI
Key Takeaways:
  1. Blockchain is essential for AI to ensure censorship resistance and uninterrupted accessibility.
  2. Trustworthy AI agents require on-chain governance to manage assets securely and transparently.
  3. AI agents can drastically accelerate blockchain adoption and optimize corporate processes.
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December 7, 2025

Tensor Logic "Unifies" AI Paradigms [Pedro Domingos]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Tensor Logic provides a unified framework for AI, bridging the gap between symbolic AI and deep learning, offering improved reasoning, transparency, and efficiency.
  2. The language addresses the limitations of current AI systems, enabling reliable deduction and facilitating structure learning through gradient descent, paving the way for more interpretable and controllable AI.
  3. Tensor Logic has the potential to advance AI education by providing a single language for teaching the entire gamut of AI. Its gradual adoption path allows developers to integrate it into existing workflows.
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Crypto Podcasts

May 9, 2025

Lightspeed Cross-Post: Can Ethereum Scale The L1? | Weekly Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Efficiency Isn't Centralization: Rapid, coordinated responses to network threats are signs of a healthy, aligned ecosystem, not inherent centralization.
  2. L1 Scaling is a Grind: Ethereum's path to a more performant L1 is fraught with technical challenges and competitive pressure, with no guarantee of reclaiming its past dominance in on-chain activity.
  3. Performance Pays for Decentralization: The L1s that can deliver sustained high performance will attract activity and revenue, creating the strongest economic incentives for a truly decentralized validator set.
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May 9, 2025

Coinbase Buys Deribit, Stripe’s Stablecoin Launch, and Ethereum’s Pectra Upgrade | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. The crypto space is witnessing an intense period of building and institutional adoption, fundamentally reshaping financial infrastructure.
  2. Real-World Integration Accelerates: Major players like Coinbase and Stripe are not just dipping toes but diving headfirst, embedding crypto into mainstream finance and global commerce.
  3. Stablecoins are the New Global Rails: With Stripe's expansion and the US Treasury's bullish $2T forecast, stablecoins are becoming indispensable for borderless, efficient payments.
  4. On-Chain Capital Markets Are Here: The tokenization of real-world assets, particularly equities via platforms like Superstate, is paving the way for more liquid, accessible, and programmable financial markets.
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May 9, 2025

Can Ethereum Scale The L1? | Weekly Roundup

Lightspeed

Crypto
Key Takeaways:
  1. Efficiency ≠ Centralization: Coordinated, rapid bug fixes are signs of an active, aligned ecosystem, not inherent centralization.
  2. L1 Utility is Paramount: Both Ethereum and Solana ecosystems depend on their base layers being genuinely useful and economically viable to support L2s and broader application development.
  3. Performance Drives Decentralization: Contrary to the traditional trilemma, the most performant L1 (attracting the most activity and thus revenue for validators) will likely become the most decentralized due to stronger economic incentives for participation.
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May 6, 2025

Ex Jane Street Veteran's Journey To Crypto | Thomas Uhm

Lightspeed

Crypto
Key Takeaways:
  1. JitoSol's Institutional Edge: JitoSol’s design—autonomy, yield-bearing, and reduced counterparty risk—positions it as attractive institutional-grade collateral and a scalable yield product on Solana.
  2. Sustainable Systems Over Subsidies: Long-term value in crypto infrastructure and services like market making will come from robust, economically sound systems, not short-term, unsustainable incentives.
  3. Solana's Determinism Drive: Solana's push for greater network determinism (predictable transaction outcomes) directly addresses a core institutional need, potentially unlocking further capital allocation.
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May 6, 2025

Bits + Bips LIVE - May 5th, 2025

Unchained

Crypto
Key Takeaways:
  1. Tariff Turmoil Persists: Despite calming rhetoric, the haphazard US tariff rollout creates ongoing uncertainty, with potential for significant market impact if key sectors like AI chips are targeted.
  2. ETH's Uphill Battle: Ethereum faces significant headwinds in sentiment and relative performance; its path to renewed relevance depends on attracting major institutional adoption.
  3. Momentum is King in Crypto: Crypto markets, including assets like XRP (viewed as a short-term trade) and even Doge (noted for technicals), are primarily driven by attention and momentum, not traditional valuation metrics.
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May 5, 2025

Is Saylor Destined to Blow Up?

1000x Podcast

Crypto
Key Takeaways:
  1. **Saylor's Gambit is Bitcoin's Sword of Damocles:** MicroStrategy's leveraged Bitcoin accumulation is a major systemic risk; a blow-up could trigger a severe market downturn.
  2. **Trade Fundamentals, Not Just Narratives:** Focus on assets showing real usage or fitting strong themes (RWA, AI, DeFi yield) as the market gets selective. ETH remains fundamentally challenged despite price bounces.
  3. **Choppy Waters Ahead, Cash is King (Again):** Expect market consolidation. Reduce leverage, hold some cash, and look for dips in strong assets (like Tao) or opportunities to short weak ones (like ETH) – but avoid shorting in euphoric breakouts.
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