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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 29, 2026

The Most Underrated Chain: Celo’s Surprising Traction Around the World

Bankless

Crypto
Key Takeaways:
  1. The migration of the $3.2 quadrillion FX market to transparent, 24/7 blockchain rails.
  2. Build consumer-facing apps that utilize the phone-number-as-identity standard to capture the next 100 million users.
  3. Celo is the leading laboratory for real-world crypto adoption, proving that the Global Venmo dream is finally scaling.
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January 29, 2026

What If DOGE Actually Becomes Real Money?

The DCo Podcast

Crypto
Key Takeaways:
  1. The transition from speculative assets to utility-based currencies.
  2. Integrate low-fee payment rails like the Dogecoin GigaWallet to capture micro-transaction volume.
  3. Dogecoin is the dark horse of the next financial era because it prioritizes being used over being hoarded.
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January 28, 2026

LIVE: BITGO IPO, HIP-3, KNTQ | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. Capital no longer distinguishes between AI stocks and rare metals. Investors treat these as a single risk-on bucket settled on-chain.
  2. Monitor Hyperliquid deployers. Identify protocols moving from passive yield to active market-making to capture the next commodity rotation.
  3. The next year will favor platforms providing access to diverse asset classes. Pure crypto protocols must adapt or lose mindshare to trade everything venues.
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January 26, 2026

Metals Alt Season, Catchup Trades, Bitcoin vs Gold, Crypto Is Dead

1000x Podcast

Crypto
Key Takeaways:
  1. The Macro Transition: Hard Asset Migration. As fiat currencies lose purchasing power, capital moves into finite assets, starting with Gold and Bitcoin before trickling down to Silver and Ethereum.
  2. The Tactical Edge: Buy the Laggard. Identify assets with strong fundamentals that have underperformed the market leader by more than 30%.
  3. The Bottom Line: The catchup trade is the most profitable strategy when the primary leaders are consolidating.
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January 24, 2026

Gold Sets the Bar, But Bitcoin Can Catch Up. Here’s How: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. The institutionalization of Bitcoin has temporarily sacrificed its digital gold status for liquidity, creating a massive opportunity for those who can stomach the volatility before the next decoupling.
  2. Monitor Japanese government bond yields as a leading indicator for global risk tolerance.
  3. Bitcoin is currently a liquidity sponge, not a bunker. Expect it to follow the Trump Put and tech earnings until its volatility profile mirrors a currency rather than a speculative stock.
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January 23, 2026

The Intersection of AI and Crypto: What Worked, What Didn’t, and What’s Next | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. The market is moving from the "Compute Layer" to the "Agentic Layer." Owning the GPU is less valuable than owning the agent that controls the wallet.
  2. Build agent-first interfaces. Stop designing for human clicks and start structuring your data so an LLM can execute transactions on your behalf.
  3. The next 12 months belong to on-chain agents that handle treasury ops and commerce. The "decentralized GPU" narrative is dead. The "AI Agent with a bank account" narrative is just beginning.
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