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AI Podcasts

January 8, 2026

AI, markets, and power: A conversation with Paul Krugman

Azeem Azhar

AI
Key Takeaways:
  1. Capital is replacing labor as the primary driver of productivity.
  2. Prioritize investments in incumbents with massive distribution or lean startups that swap payroll for compute.
  3. The US remains the primary engine of growth but the internal divide between tech hubs and the hinterland will widen as AI concentrates wealth.
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January 9, 2026

Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith

Latent Space

AI
Key Takeaways:
  1. The decoupling of parameter count from active compute via sparsity means intelligence is becoming a software optimization problem as much as a hardware one.
  2. Audit your agentic workflows for turn efficiency rather than just cost per token.
  3. In a world of infinite tokens, the winner is the one who can verify the truth the fastest.
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January 7, 2026

Marc Andreessen's 2026 Outlook: AI Timelines, US vs. China, and The Price of AI

a16z

AI
Key Takeaways:
  1. The transition from "adding machines" to "human cognition" models is an 80-year correction finally hitting the vertical part of the S-curve.
  2. Prioritize application-specific models that backward-integrate into the stack.
  3. AI is a physical and digital build-out that will define the next decade of global power.
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January 6, 2026

Who Controls AI's Future? The Battle for GPU Access | CoreWeave SVP

Weights & Biases

AI
Key Takeaways:
  1. The transition from general-purpose compute to specialized AI infrastructure mirrors the rise of Snowflake in the data era.
  2. Audit your current cloud spend to identify where generalist latency is throttling your GPU goodput.
  3. Performance bars move every two years. If your infrastructure isn't purpose-built for AI today, you will be priced out of the market tomorrow.
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January 5, 2026

Welcome to AIE CODE - Jed Borovik, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. The Macro Pivot: The transition from LLMs as chat interfaces to LLMs as logic engines. As models move from text prediction to logic execution, the value moves from the model itself to the verification systems surrounding it.
  2. The Tactical Edge: Audit the stack. Prioritize the integration of agentic coding tools like Jules to shorten the feedback loop between ideation and deployment.
  3. The Bottom Line: Code is the only medium where AI can self-correct and scale without human intervention. The next 12 months will be defined by who can turn raw model power into reliable, self-healing code.
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January 5, 2026

Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

AI Engineer

AI
Key Takeaways:
  1. Moving from "Model-as-a-Service" to "Environment-as-a-Service" where the harness matters as much as the weights.
  2. Replace your bespoke API tools with a single bash tool. Use a well-structured file system.
  3. The next year belongs to builders who stop treating LLMs as chatbots. They will treat them as system administrators.
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January 6, 2026

Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel

AI Engineer

AI
Key Takeaways:
  1. The Macro Transition: We are moving from "fire-and-forget" prompts to durable execution environments where state is as important as the model itself.
  2. The Tactical Edge: Wrap your existing tool calls in the `useStep` function to gain instant retry logic and execution history.
  3. The Bottom Line: Reliability is the primary moat in the agent market. Builders who adopt durable workflows will move to production while others are still debugging local scripts.
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January 6, 2026

Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize

AI Engineer

AI
Key Takeaways:
  1. The move from manual prompt engineering to automated prompt learning. As models become commodities, the proprietary loop that refines them becomes the moat.
  2. Implement a Train-Test Split for your prompts. Use a subset of failure data to generate new rules and validate them against a separate holdout set to ensure the logic holds.
  3. Reliability is the only metric that matters for agent adoption. If you are not using a feedback loop to update your system instructions, you are building on sand.
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January 6, 2026

The Netflix Culture Code That Changed Entertainment Forever | Reed Hastings Interview

Invest Like The Best

AI
Key Takeaways:
  1. The move from industrial management to creative inspiration. As AI automates routine tasks, the only remaining value is high-variance human creativity.
  2. Apply the Keeper Test today. Ask your leads which team members they would fight for and provide generous exits for the rest to reset your talent bar.
  3. Scaling doesn't require more rules. It requires better people. If you can maintain talent density, you can run fast while your competitors choke on their own handbooks.
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Crypto Podcasts

December 18, 2025

Why Privacy for Crypto Is in the Public Interest: DEX in the City

Unchained

Crypto
Key Takeaways:
  1. Strategic Implication: The shift in regulatory tone and corporate demand for privacy signals a maturation of the crypto industry. Solutions that balance privacy with accountability will capture significant market share.
  2. Builder/Investor Note: Focus on projects building privacy-preserving compliance tools and "programmable risk management" frameworks. These are the infrastructure plays for mainstream adoption. Avoid projects that offer absolute privacy without any recourse mechanisms, as they face significant regulatory risk.
  3. The "So What?": Over the next 6-12 months, expect increased innovation and investment in ZK-based privacy solutions that enable selective disclosure and verifiable compliance. This will be crucial for onboarding institutional capital and protecting individual users in a data-exposed world.
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December 18, 2025

Inside Robinhood's Big Super App Plan: ‘There's Still a Lot of Work to Be Done’

Unchained

Crypto
Key Takeaways:
  1. Integrated Finance is the Future: Robinhood's super app strategy, combining traditional and crypto assets, points to a future where financial services are consolidated and cross-pollinated.
  2. Builders: Simplify, Simplify, Simplify: The path to mainstream crypto adoption requires abstracting away technical details. Focus on product utility, not underlying blockchain mechanics.
  3. Tokenization's Long Game: Expect tokenization to redefine access to private markets and real-world assets, potentially disrupting traditional capital raising and ownership structures over the next 2-5 years.
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December 19, 2025

Crypto 'Is Dead' - DATs: A Buying Opportunity? Plus: Figure's IPO & Trump's WLFI in Trouble

Unchained

Crypto
Key Takeaways:
  1. Strategic Implication: The crypto industry is moving beyond speculative cycles, driven by the integration of real-world assets and the pursuit of tangible efficiencies by both startups and traditional financial giants.
  2. Builder/Investor Note: Builders should prioritize utility and cost reduction for mainstream users, while investors must scrutinize projects for sustainable business models and genuine decentralization, rather than relying on hype or incentive schemes.
  3. The "So What?": Regulatory clarity, particularly around DeFi and asset classification, will shape the next 6-12 months, determining which projects thrive by truly delivering value and which struggle under increased scrutiny.
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December 18, 2025

If Ethereum and Solana Had a Baby, It Would Be Monad

The DCo Podcast

Crypto
Key Takeaways:
  1. Strategic Implication: Monad represents a significant bet on vertical scaling of Layer 1s, aiming to unlock a new class of high-performance DeFi applications by directly addressing core execution bottlenecks.
  2. Builder/Investor Note: Full EVM bytecode compatibility means existing Ethereum dApps can migrate with minimal changes, immediately benefiting from 10,000+ TPS and 1-second finality. This opens doors for high-frequency DeFi, on-chain order books, and complex AI/ML applications.
  3. The "So What?": If Monad delivers on its promises, it could validate a powerful alternative scaling path for crypto, shifting focus back to base-layer innovation and enabling decentralized finance to truly compete with centralized exchanges in performance and cost within the next 6-12 months.
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December 18, 2025

Hivemind: Crypto Is Dead with Dougie DeLuca

Empire

Crypto
Key Takeaways:
  1. Strategic Implication: The industry's future lies in seamless integration with the broader economy, making blockchain an invisible, value-adding layer for everyday products.
  2. Builder/Investor Note: Focus on projects solving real problems, demonstrating product-market fit in proven sectors (stablecoins, perps, token issuance), and prioritizing user experience over maximalist decentralization.
  3. The "So What?": The next 6-12 months will reward deep research and conviction in quality assets, as the market shifts from speculative narratives to tangible utility and real-world adoption.
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December 18, 2025

Why Gen Z Will Turn Everything Into a Market | Threadguy

Bankless

Crypto
Key Takeaways:
  1. Strategic Implication: The lines between traditional finance, crypto, and cultural markets will blur. "Internet markets" will encompass everything, driven by attention and mimetics.
  2. Builder/Investor Note: Focus on platforms that facilitate permissionless market creation and enhance the "spectacle" of trading. User experience that feels as native as social media will capture Gen Z's capital.
  3. The "So What?": Crypto's open, liquid, and attention-driven nature makes it the ultimate infrastructure for this new financial paradigm. The next decade will see an explosion of internet asset trading, with crypto at its core.
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