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AI Podcasts

December 26, 2025

What I learned at the frontier of tech in 2025 (Kelly, Cowen, Wang, Prince)

Azeem Azhar

AI
Key Takeaways:
  1. The Macro Pivot: The transition from weightless software to energy-heavy hardware.
  2. The Tactical Edge: Stop building "wrappers" for model weaknesses.
  3. The Bottom Line: AI value is moving from the model to the grid and the individual reputation.
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December 26, 2025

How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The Macro Shift: The Great Re-architecting. As legacy software moats evaporate and industrial supply chains reshore, value is migrating from passive data storage to active execution layers.
  2. The Tactical Edge: Target Archaic Verticals. Identify high-friction industries like mortgage servicing or IT support where the distance between intent and execution is currently measured in days.
  3. The Bottom Line: The next two years will reward those who build systems of action that replace human labor with autonomous agents and software-defined hardware.
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December 27, 2025

Why Scientists Can't Rebuild a Polaroid Camera [César Hidalgo]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Trend: Economic complexity predicts growth better than current GDP. Capital will move toward "high-letter" economies like India and Indonesia.
  2. The Tactical Edge: Prioritize team retention over documentation. Since knowledge is embodied, losing a core team is equivalent to deleting the source code.
  3. The Bottom Line: Success in the next decade belongs to those who treat knowledge as a living network rather than a digital asset.
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December 26, 2025

⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI

Latent Space

AI
Key Takeaways:
  1. The Macro Shift: Agentic Abstraction. We are moving from Model-as-a-Service to Agent-as-a-Service where the harness is as important as the weights.
  2. The Tactical Edge: Standardize your CLI. Use tools like ripgrep (RG) that models already have "habits" for to see immediate performance gains.
  3. The Bottom Line: The next 12 months will see the end of manual integration engineering as agents become capable of navigating UIs and legacy terminals autonomously.
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December 26, 2025

Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE

Latent Space

AI
Key Takeaways:
  1. The commoditization of syntax means architectural judgment is the only remaining moat. As the cost of code hits zero the value of intent skyrockets.
  2. Replace your manual refactoring workflows with a burn and rebuild strategy. Use agents to generate entirely new modules instead of patching old ones.
  3. Seniority is no longer a shield against obsolescence. You must spend the next six months building your agentic intuition or risk being replaced by a PhD student with a prompt.
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December 28, 2025

One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation

Latent Space

AI
Key Takeaways:
  1. The Macro Evolution: Standardized communication layers are replacing custom API integrations. This commoditizes the connector market and moves value to the models that best utilize these tools.
  2. The Tactical Edge: Standardize your internal data tools using MCP servers today. This ensures your company is ready for autonomous agents that can discover and use your resources without manual API integration.
  3. The Bottom Line: The agentic stack is consolidating around MCP. Interoperability is no longer a feature; it is the foundation for the next decade of AI utility.
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December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The transition from Prompt Engineering to Context Engineering where the goal is keeping the model's workspace small and relevant.
  2. Replace your complex classification prompts with a single Bash tool. Let the agent write its own Python scripts to handle data transformations.
  3. The winners in the agent space will not be those with the most complex logic. They will be the ones who build the best tools for the model to use.
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December 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: From Model-Centric to Eval-Centric. The value is moving from the LLM itself to the proprietary evaluation loops that keep the LLM on the rails.
  2. The Tactical Edge: Export production traces and build a "Golden Set" of 50 hard examples. Use these to run A/B tests on every prompt change before hitting production.
  3. The Bottom Line: Reliability is the product. If you cannot measure how your agent fails, you haven't built a product; you've built a demo.
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December 26, 2025

How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The transition from passive data storage to active agentic execution across both financial and industrial sectors.
  2. Target unsexy legacy industries like mortgage servicing or rare earth processing where the margin for improvement is highest.
  3. 2026 marks the year where software eating the world moves from the screen to the physical supply chain and the autonomous agent.
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Crypto Podcasts

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.
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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.
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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.
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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.
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January 21, 2026

Markets Are Entering A Wartime Economy | Cem Karsan

Forward Guidance

Crypto
Key Takeaways:
  1. The transition from a supply-side model to a populist-driven wartime economy makes inflation a permanent feature rather than a bug.
  2. Rotate out of traditional portfolios into non-correlated volatility strategies and hard assets.
  3. The next decade belongs to those who recognize that the rules-based order has been replaced by a raw competition for strategic resources.
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January 21, 2026

How Nansen’s New Trading Agent Makes It Easier to Follow the Smart Money Onchain

Unchained

Crypto
Key Takeaways:
  1. The commoditization of technical infrastructure means alpha moves from who has the data to who has the best prompts.
  2. Test agentic workflows with small capital amounts to identify where natural language outperforms manual execution.
  3. The next 12 months will see a transition from manual click-and-sign trading to intent-based portfolio management.
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