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AI Podcasts

December 18, 2025

The EU and the not-so-simple macroeconomics of AI – Luis Garicano

Epoch AI

AI
Key Takeaways:
  1. Strategic Implication: The global AI race is a zero-sum game for foundational models. Europe's best strategy is a "smart second mover" approach, focusing on the implementation layer by ensuring interoperability and data portability.
  2. Builder/Investor Note: Invest in AI that achieves true autonomy and enhances expert productivity. Be wary of markets stifled by over-regulation, which can impede AI adoption and growth.
  3. The "So What?": Europe faces a critical juncture. Without embracing AI-driven growth, its demographic and debt problems will worsen, leading to higher interest rates without the corresponding economic expansion.
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December 18, 2025

SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)

Latent Space

AI
Key Takeaways:
  1. Vision AI Democratization: SAM 3 lowers the barrier for sophisticated vision tasks, making advanced segmentation and tracking accessible for a wider range of applications.
  2. Builder/Investor Note: Focus on domain-specific adaptations and tooling that enhance human-AI interaction for ambiguous visual concepts. The "last mile" of user intent is a key differentiator.
  3. The "So What?": SAM 3 accelerates the development of multimodal AI, particularly in robotics and video analysis, by providing a robust, scalable visual foundation for the next generation of intelligent systems.
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December 16, 2025

Humanoid Robots: Hype vs Reality in 2026 | Rerun CEO

Weights & Biases

AI
Key Takeaways:
  1. Strategic Shift: The next frontier in robotics is less about pure algorithmic breakthroughs and more about building robust, scalable data infrastructure and full-stack product systems that can handle the messy physical world.
  2. Builder/Investor Note: Prioritize companies solving the "boring" but critical data and systems problems. Look for practical, "scrappy" companies deploying robots in specific industrial niches, rather than just those with flashy, general-purpose demos.
  3. The "So What?": The gap between impressive demos and deployable products will narrow over the next 6-12 months as data pipelines mature and product-focused companies gain traction. Expect to see more robust, self-correcting robots performing longer, more complex tasks in controlled environments.
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December 16, 2025

Nvidia's Generative AI ecosystem supporting Japan's sovereign AI

Weights & Biases

AI
Key Takeaways:
  1. Ecosystem Dominance: NVIDIA's strategy extends beyond hardware; they are building an end-to-end ecosystem of software, open-source models, and direct support, making them indispensable for national AI initiatives.
  2. Builder Opportunity: Leverage NVIDIA's open-source Blueprints for agentic AI and Nemotron models for high-performance, customizable solutions. Prioritize local context in model training and data.
  3. Strategic Imperative: Sovereign AI is a growing global trend. Nations and companies that can build and control AI tailored to their specific cultural, linguistic, and regulatory environments will gain a significant advantage in the coming years.
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December 16, 2025

Build reliable AI agents using W&B Training

Weights & Biases

AI
Key Takeaways:
  1. The democratization of RL fine-tuning will accelerate the development and deployment of more reliable and sophisticated AI agents across industries.
  2. Builders should explore open-source LLMs combined with RL fine-tuning as a cost-effective strategy to achieve specific performance benchmarks, especially where latency and cost are critical.
  3. Platforms abstracting infrastructure complexity and providing integrated tooling for the entire AI development lifecycle are crucial for the next phase of AI agent deployment.
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December 17, 2025

Rethinking Pre-Training for Agentic AI [Aakanksha Chowdhery] - 759

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Pre-Training is the New Frontier: The next leap in AI capabilities, particularly for agentic systems, will come from fundamental advancements in pre-training, not just post-training tweaks.
  2. Builders & Investors: Focus on teams rethinking loss objectives, curating high-quality reasoning data, and developing dynamic benchmarks for agentic capabilities. Be wary of "agentic" claims that lack foundational pre-training innovation.
  3. The "So What?": Over the next 6-12 months, expect a push for new benchmarks and data strategies that explicitly train models for multi-step planning, long-form reasoning, and error recovery, moving beyond simple next-token prediction.
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December 16, 2025

What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: AI fundamentally changes the economics of software development. Organizations must re-evaluate what constitutes "high-quality" engineering and adapt their processes.
  2. Builder/Investor Note: Prioritize platforms that provide guardrails and guidance for AI tool usage, focusing on deterministic verification and robust testing. Uncontrolled AI deployment risks technical debt.
  3. The "So What?": The next 6-12 months will see a bifurcation: companies that strategically integrate AI into their engineering culture and platforms will gain significant efficiency, while those that don't will struggle with quality and adoption.
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December 16, 2025

Your Support Team Should Ship Code – Lisa Orr, Zapier

AI Engineer

AI
Key Takeaways:
  1. Workflow Automation is the New Frontier: The real value of AI in developer tools comes from orchestrating entire workflows, not just individual point solutions.
  2. Embed for Adoption: Tools must integrate seamlessly into existing workflows and IDEs (like Cursor) to achieve high usage.
  3. Support as a Code-Shipping Powerhouse: Empowering non-traditional roles with AI-driven code generation leverages their unique, real-time context, creating significant operational leverage.
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December 17, 2025

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

AI Engineer

AI
Key Takeaways:
  1. Semantic Shift: The future of AI in code moves from text generation to deep semantic understanding and execution simulation.
  2. Builder Opportunity: Develop next-generation debugging tools and code agents that leverage internal simulation for faster, more efficient development cycles.
  3. Investor Focus: Prioritize models and platforms that demonstrate explicit execution modeling, as this capability will redefine software development and create new market leaders.
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Crypto Podcasts

April 7, 2025

Trump vs Markets: Who Blinks First? | Avi Felman & Jonah Van Bourg

Forward Guidance

Crypto
Key Takeaways:
  1. Buy the Fear (Strategically): Extreme volatility, record volume, and forced selling signal potential bottoms; scaling into weakness is preferred over trying to perfectly time the low.
  2. Crypto Gains Relative Strength: Bitcoin benefits from deglobalization trends and anticipated global stimulus (ex-US), potentially outperforming traditional assets in this environment.
  3. Inflation Fears Overblown, Fed Pivot Likely: The market crash itself is deflationary; expect the Fed to tolerate the pain to kill inflation, then pivot towards easing (likely starting May), further supporting risk assets eventually.
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April 7, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Trump's Gambit: The tariff chaos might be a high-stakes strategy to isolate China, forcing allies to choose sides and share the burden of the US security umbrella.
  2. Buy the Blood (Carefully): With equities down ~20% and VIX elevated, it's time to cautiously scale into risk assets, accepting potential short-term pain to catch an eventual rebound.
  3. Bitcoin's Edge: De-globalization and reactive global stimulus position Bitcoin favorably, potentially decoupling (or at least outperforming) traditional assets in the near term.
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April 7, 2025

Hating on Crypto (With Love) | Felix Jauvin & James Christoph

0xResearch

Crypto
Key Takeaways:
  1. **Stablecoin Issuers are Cash Cows:** Companies like Circle (IPO soon) benefit massively from yield capture on reserves; regulation might even lock this in.
  2. **DeFi Degens vs. TradFi Suits:** Expect ongoing clashes as institutional capital demands simpler structures, challenging crypto's complex governance/token models.
  3. **Meme Coins Aren't Dying:** Despite drawdowns, platforms like Pump.fun show meme creation/trading has strong, persistent demand and revenue generation.
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April 7, 2025

Ethereum Co-Founder: Why Crypto Has Failed | Gavin Wood

Empire

Crypto
Key Takeaways:
  1. Crypto Has Lost Its Way: The industry's obsession with hype and speculation diverts resources and attention from building genuine, society-improving utility based on Web3 ideals.
  2. Tech Matters, But Adoption is Slow: Superior technology (scalability, economic independence, coherence like JAM aims for) is crucial, but overcoming market inertia, hype-driven funding, and user stickiness takes significant time.
  3. Web3 Urgently Needed for AI Era: Trust-minimized Web3 systems, especially robust Proof of Personhood, are critical defenses against the centralizing, trust-based nature of AI to maintain individual sovereignty and reliable information.
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April 5, 2025

Zora coins are the future of content creation #crypto #eth #sol #web3 #zora

Bankless

Crypto
Key Takeaways:
  1. Content Becomes an Asset: Zora allows creators to transform any media into a tradable coin, capturing economic value directly tied to its perceived worth and audience engagement.
  2. Engagement = Trading Volume: The primary metric for crypto-native engagement on Zora is trading volume, which directly translates into creator rewards in ETH and the content's specific token.
  3. Own What You Love: Zora enables fans to directly own a piece of the content they value, creating a powerful alignment between creator success and audience investment.
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April 4, 2025

This Is What Capitulation Feels Like | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. Capitulation Near, But Timing Tricky: Close hedges now; consider tactical longs (calls) soon, but be ready to sell the bounce as it's likely a bear market rally.
  2. Policy is the Pivot: Market relief likely requires Trump blinking on tariffs or significant fiscal stimulus announcements; don't wait for the Fed to save the day.
  3. Watch Relative Strength: Bitcoin and Homebuilders show surprising resilience, offering potential clues or opportunities amidst the chaos. Commodities look oversold but need confirmation.
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