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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 11, 2025

The Trump Put Is In The Bond Market | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** 5% on the 30-year yield marks the pain threshold triggering policy intervention to prevent systemic collapse.
  2. **Fed Pivot Incoming:** Despite hawkish talk, falling inflation and market stress make Fed cuts and liquidity measures (like ending QT) highly probable by May.
  3. **Bitcoin Favored:** Anticipated global liquidity injections are expected to benefit Bitcoin more than traditional equities as the world adjusts to the new geopolitical and economic landscape.
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April 10, 2025

Market Crash. But at Least We Get a $200K Bitcoin? - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. Bitcoin's Identity Crisis: Bitcoin trades like a risk asset now, needing stimulus for upside, but the ultimate bull case hinges on it becoming a "chaos hedge" if traditional systems falter.
  2. Altcoins Need New Narrative: Alts bleed against Bitcoin as institutions find cleaner leverage elsewhere (BTC options, MSTR); their value proposition beyond speculation needs strengthening.
  3. Crypto Plumbing Gets Real: Major M&A (Ripple/Hidden Road) and stablecoin growth (despite Circle's IPO delay) show the industry is building robust, institutional-grade infrastructure, even amidst market chaos.
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April 10, 2025

Ethereum Co-Founder: How Do We Fix Crypto? | Gavin Wood

Empire

Crypto
Key Takeaways:
  1. Hype Kills Efficiency: Crypto's obsession with hype leads to dramatic misallocation of capital and talent, hindering real innovation.
  2. Utility is Lacking: Many popular platforms primarily facilitate speculation and insider enrichment, falling short of the original Web3 vision.
  3. Refocus on Fundamentals: The industry needs a renewed emphasis on core engineering and building a "viable social operating system," not just marketing narratives.
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April 10, 2025

Can Blockchain Fix AI's "IP Problem"? With Story Protocol co-founder Jason Zhao

The People's AI

Crypto
Key Takeaways:
  1. Fix IP's Plumbing: Today's IP system is archaic; Story Protocol leverages blockchain for a transparent, programmable, global alternative.
  2. Monetize AI Training: Instead of fighting AI, creators can use Story to set terms and get paid for allowing their IP to be used in AI training or outputs.
  3. Tokenize Everything: IP is a $61T+ asset class (songs, data, brands); protocols like Story unlock its value through tokenization (IPRWAs) and new licensing models.
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April 9, 2025

Are We In A Bear Market? | Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Fundamental Disconnect: Solana's network activity (DEX volume, stablecoins) is stronger now than when SOL last traded below $100, despite the recent price plunge.
  2. Diverging Narratives: Bitcoin is trading like non-sovereign money, reacting to macro news, while Solana's price is more closely tied to its Layer 1 competition with Ethereum.
  3. Leverage Alert: Near-record high Solana open interest (in SOL terms) indicates significant leverage, suggesting amplified volatility potential ahead.
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April 9, 2025

Trump Is “Kitchen Sinking” The US Economy | Darius Dale

Forward Guidance

Crypto
Key Takeaways:
  1. Expect Pain Before Gain: The transition requires near-term economic disruption and market volatility ("go down to go up") before potential long-term benefits materialize. Markets haven't fully priced this in.
  2. Fed Will Be Forced to Act: Ignore Fed rhetoric; expect QE driven by financial stability needs and the debt cycle, regardless of stated intentions about rate levels. Structural inflation near 3% makes the 2% target a source of policy error.
  3. Ditch Long Bonds, Embrace Systems: Structural inflation and fiscal risks make long-term bonds unattractive. Navigate the volatile "Fourth Turning" environment with systematic, rules-based strategies dynamically allocating across assets like stocks, gold, and Bitcoin, prioritizing risk management over prediction.
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