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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

February 10, 2026

LIVE: MEGAETH LIVE, SAYLOR SLIPPAGE & TEMPO | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional players are not just buying crypto; they are actively building and acquiring talent to integrate blockchain rails into existing financial infrastructure. This means the battle for crypto's future will increasingly be fought on the grounds of productization and distribution, not just raw technical innovation.
  2. The Tactical Edge: Investigate projects that are actively bridging the gap between open-source crypto and traditional finance, but with clear, transparent tokenomics and governance structures. Prioritize teams willing to disclose financials, as this signals long-term viability and investor alignment in a market often opaque.
  3. The Bottom Line: The next cycle will see a fierce competition between truly decentralized protocols and corporate-backed, crypto-native products. Understanding who owns the rails and how value accrues will be paramount for investors and builders seeking to capitalize on this evolving landscape.
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February 9, 2026

How Rain Grew To A $2B Company | Charles Yoo-Naut

Empire

Crypto
Key Takeaways:
  1. The global financial system is undergoing a fundamental shift towards tokenized money, driven by efficiency gains and demand for dollar access in emerging markets. This transition will upgrade core payment rails, not just add layers.
  2. Builders should focus on infrastructure that collapses existing financial stacks, leveraging stablecoins for global reach and capital efficiency. Investors should seek companies enabling this "under the surface" upgrade, particularly those with direct network memberships.
  3. The future of finance is programmable and global. Companies like Rain, by building core stablecoin infrastructure and securing direct network access, are positioned to capture immense value as more of the world's money moves onchain over the next 6-12 months.
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February 9, 2026

MegaETH Live, Saylor Slippage & Tempo | Livestream

0xResearch

Crypto
Key Takeaways:
  1. The crypto industry is experiencing a gravitational pull towards institutionalization, where traditional finance and tech giants are increasingly building on or acquiring web3 infrastructure and talent.
  2. Monitor projects like MegaETH that are launching with clear, measurable KPIs for their token generation events.
  3. The next 6-12 months will see increased competition from well-capitalized, traditional players building on crypto rails, potentially limiting direct token exposure to fundamental infrastructure plays.
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February 9, 2026

MegaETH Mainnet is Live! — The Next Era of Ethereum Scaling

Bankless

Crypto
Key Takeaways:
  1. The Ethereum scaling narrative is evolving from L2s as mere L1 extensions to specialized, high-performance execution layers. This creates a barbell structure where Ethereum provides core security, and L2s deliver extreme throughput and novel features.
  2. Builders should explore high-performance L2s like MegaETH for applications requiring ultra-low latency and high transaction volumes, especially in gaming, DeFi, and AI agent interactions, where traditional fee models are prohibitive.
  3. MegaETH's mainnet launch, with its technical innovations and unconventional economic and app strategies, signals a new generation of L2s.
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February 8, 2026

The Pro-Quantum Argument w/ Tyler Whittle

The Gwart Show

Crypto
Key Takeaways:
  1. The theoretical certainty of quantum computing, coupled with accelerating engineering breakthroughs, means the digital asset space must proactively build "crypto agility" into its core protocols. This ensures systems can adapt to new cryptographic standards as current ones become obsolete.
  2. Secure your Bitcoin by ensuring it resides in unspent SegWit or P2SH addresses, as these keep your public key hidden until spent. This provides a temporary shield against quantum attacks.
  3. Quantum computing is not a distant threat but a near-term risk with a 20% chance of moving Satoshi's coins by 2030. Ignoring this could lead to a systemic collapse of the "store of value" narrative for Bitcoin and other digital assets, forcing a costly and painful reset.
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February 8, 2026

If Bitcoin doesn't quantum-proof it will be EXPENSIVE

The Gwart Show

Crypto
Key Takeaways:
  1. The crypto industry must shift from viewing quantum as a distant threat to an imminent engineering challenge requiring proactive, coordinated defense.
  2. Ensure any long-term Bitcoin holdings are in SegWit addresses never spent from, as these public keys remain hashed and are currently more resistant to quantum attacks.
  3. A 20% chance of Satoshi's coins moving by 2030, and near certainty by 2035, means delaying upgrades is a multi-billion dollar bet against Bitcoin's core security narrative.
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