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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

January 12, 2026

HIP-3 Market Design and Felix’s Role | Charlie, Felix Protocol

0xResearch

Crypto
Key Takeaways:
  1. The Macro Strategic Pivot: Vertical Consolidation. Protocols are moving away from modularity toward integrated stacks to capture maximum fee revenue.
  2. The Tactical Edge: Monitor BLP Rates. Watch the spread between Felix and Hyperliquid’s native lending rates. Capital will migrate to the platform offering the lowest borrow cost for margin trading.
  3. The Bottom Line: Hyperliquid is winning by becoming a DeFi Super App rather than just a perp engine. Its success over the next year depends on its ability to manage UI fragmentation while keeping all revenue inside the Hype ecosystem.
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January 12, 2026

Is Canton a Real Blockchain? | Canton Founder Yuval Rooz

Bankless

Crypto
Key Takeaways:
  1. The Macro Transition: We are seeing a split between "Pure Crypto" for sovereignty and "Institutional Rails" for global capital markets.
  2. The Tactical Edge: Monitor Broadridge volume to gauge the actual velocity of institutional on-chain adoption.
  3. The Bottom Line: The next decade is not about crypto replacing banks. It is about banks adopting crypto's efficiency while keeping their legal moats.
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January 12, 2026

Who Actually Owns the Aave Brand -- the DAO or Labs? Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. The "Fat App" thesis is evolving into the "Sovereign Brand" thesis where the front-end is the ultimate moat.
  2. Audit your protocol's meatspace dependencies—domains, trademarks, and front-ends—before they become points of failure.
  3. Decentralization isn't just about smart contracts; it is about ensuring the front door to your protocol cannot be locked by a single executive.
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January 10, 2026

Why Crypto Still Struggles to Capture the Value It Creates | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. The transition from "Software as a Service" to "Software as a Network" where value flows to the protocol layer.
  2. Prioritize infrastructure that owns the end-user relationship or provides essential stability for open stacks.
  3. AI models will migrate to crypto rails to solve the monetization gap that has hindered open-source development for forty years.
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January 10, 2026

LIVE: Aerodrome and Metadex03 | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The Macro Trend: The transition from fragmented L2 liquidity to unified cross-chain execution.
  2. The Tactical Edge: Monitor Arrow’s Q2 launch on Mainnet to capitalize on the initial liquidity migration.
  3. The Bottom Line: Arrow is building the operating system for Ethereum liquidity. If they capture even a fraction of Mainnet the economic model moves from inflationary to net-positive.
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January 10, 2026

Jordi Alexander on Market Outlook, Token Buybacks, and Neo Finance

The Rollup

Crypto
Key Takeaways:
  1. The move from "fugazi decentralization" to "Neo Finance" means capital will flee empty L1s for protocols with verifiable revenue.
  2. Accumulate Bitcoin as a macro hedge while building a basket of revenue-generating alts like Meteora or Hyperliquid during price dips.
  3. Survival in 2026 requires moving past the "infra thesis" to find projects that treat their token as a real financial instrument.
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