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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

April 22, 2025

How Does Circle Compete Against Other Stablecoins?

Empire

Crypto
Key Takeaways:
  1. Margin Compression is Real: High distribution payouts ($900M to Coinbase) severely impact profitability.
  2. Banks Are Coming: Impending regulation could unleash bank competition, challenging Circle's market share.
  3. Pivot or Perish: Circle must transition from interest-rate reliance towards transaction fees or B2B partnerships to survive and justify its valuation.
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April 22, 2025

A New Era For Crypto In 2025 | Miller Whitehouse-Levine

Lightspeed

Crypto
Key Takeaways:
  1. Legislation is Coming: Expect significant movement on stablecoin and market structure bills; their final form will shape the US crypto landscape for years.
  2. Advocacy Pays (and Diversifies): The era of a single unified crypto lobby is evolving; expect more ecosystem-specific efforts alongside broader industry initiatives. Solana is planting its flag.
  3. Watch the DOJ: Beyond the SEC/CFTC, the DOJ's stance on money transmission laws (18 USC 1960) presents a serious, potentially criminal, risk that needs urgent legislative clarification.
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April 22, 2025

Market and Tariff Predictions

The Rollup

Crypto
Key Takeaways:
  1. Expect Intervention: Bond volatility at critical levels (Move Index 135) signals central banks are likely nearing intervention, potentially through rate cuts or liquidity injections.
  2. Tariffs as Catalyst: View recent tariffs as an accelerant, forcing the inevitable recourse to money printing to address systemic issues sooner.
  3. Money Printer Goes Brrr: The core conviction remains: authorities will choose monetary stimulus over austerity, ultimately boosting inflation hedges like crypto.
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April 21, 2025

Are Fundamentals Finally Bullish?

1000x Podcast

Crypto
Key Takeaways:
  1. Bitcoin's Hedging Potential is Real: Its decoupling from equities isn't just noise; it could signal a structural shift attracting significant institutional flows seeking portfolio protection.
  2. Altcoins Aren't Dead, Just Different: Forget meme coins; focus shifts to projects with tangible revenue and strong tokenomics (think exchanges like Hyperliquid with fee buybacks). Deep research is non-negotiable.
  3. Consider BTC Upside Exposure: Given the potential for a rapid, institution-led rally and relatively low implied volatility, Bitcoin call options or proxies like IBIT calls offer asymmetric upside.
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April 21, 2025

Does Crypto Have Product Market Fit? | Matty Taylor

Lightspeed

Crypto
Key Takeaways:
  1. PMF is the Real Boss: Forget the regulatory FUD; crypto's primary challenge now is the age-old startup struggle – building things people actually need and use.
  2. Solana's Pragmatic Pull: The ecosystem's intense focus on PMF over ideological purity is attracting founders eager to build real markets and applications.
  3. Show Me the Revenue (or Sticky Users): True PMF often translates to tangible results like revenue (Pump.fun, Jito) or deeply embedded usage (Bitcoin, potentially Aave), separating signal from noise.
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April 19, 2025

Crypto's Data & Transparency Problem | Roundup Clip

Bell Curve

Crypto
Key Takeaways:
  1. **Trust, But Verify Rigorously:** Assume data discrepancies exist; stated figures and dashboard metrics demand independent on-chain verification.
  2. **Standardize or Suffer:** The lack of "Crypto GAAP" hinders meaningful comparison and valuation; clear definitions and reporting cadence are essential.
  3. **Make On-Chain Data Truly Accessible:** Transparency requires more than just public ledgers; it needs standardized, verifiable, and easily accessible reporting directly from protocols.
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