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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 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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April 4, 2025

Are Stablecoins the only good crypto use case?

blocmates.

Crypto
Key Takeaways:
  1. Stablecoins Reign: Forget moonshots; stablecoins are crypto's clearest win, providing real-world utility and attracting both corporate giants (Tether, Circle) and even government attention.
  2. Macro Still Matters (Kind Of): While extreme tariff news rocked traditional markets, crypto's reaction was comparatively muted – expect continued volatility, but perhaps less direct correlation than stocks anticipate.
  3. Watch Stablecoin Ecosystem Plays: While Tether and Circle dominate headlines, the narrative strength around stablecoins could create opportunities for related on-chain protocols (like Ethena, Maker) post-macro cooldown.
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April 4, 2025

Why Dan Romero built Farcaster, a decentralized social network #crypto #web3 #farcaster #eth #sol

Bankless

Crypto
Key Takeaways:
  1. Decentralized Social, Realized: Farcaster offers a tangible example of an "at-scale" decentralized social network built on crypto rails (initially Ethereum).
  2. Unlocking Social Data: The core innovation is the open, permissionless protocol, giving developers API access to build diverse applications on a shared social dataset.
  3. Beyond Cloning: While the first app looks familiar (Twitter-like), the underlying protocol enables vastly different social applications, from niche integrations to entirely new platform paradigms.
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