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AI Podcasts

January 8, 2026

Automating Large Scale Refactors with Parallel Agents - Robert Brennan, AllHands

AI Engineer

AI
Key Takeaways:
  1. Software maintenance is moving from a manual craft to an industrial process. As agents handle the toil of migrations and security, human engineers will focus entirely on high-level system design.
  2. Batch by Dependency. Use the OpenHands SDK to visualize your codebase as a graph and deploy agents to solve the leaf nodes first.
  3. Companies that master agent orchestration will clear their tech debt backlogs in weeks instead of years, creating a massive competitive advantage in product velocity.
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January 8, 2026

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Software is moving from imperative instructions to declarative goals.
  2. The Tactical Edge: Port your most expensive GPT-4 prompts to DSPy signatures and run them through a BootstrapFewShot optimizer.
  3. The Bottom Line: Brittle prompts are the new technical debt. Building with a declarative framework ensures your system improves as models get cheaper.
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January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. We are moving from probabilistic prompting to neurosymbolic reasoning where the LLM is a component of a larger structured system.
  2. Install MCP servers for your specific documentation and task trackers. Ground your agent in reality to reduce the manual verification loop.
  3. Engineering rigor is returning to the AI era. Builders who adopt structured workflows will outpace those stuck in the "prompt and pray" cycle.
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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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Crypto Podcasts

February 3, 2026

From Crypto Legal Advocate to US Senate Candidate | John Deaton

Proof of Coverage Media

Crypto
Key Takeaways:
  1. The erosion of the American dream, fueled by inflationary policies and monopolistic capitalism, is driving a political shift towards candidates who advocate for transparent, common-sense economic policies and modern regulatory clarity for emerging technologies like crypto.
  2. Support political candidates who champion clear, updated regulatory frameworks for digital assets and advocate for increased market competition across industries.
  3. The fight for crypto clarity is now intertwined with broader economic and political reform. Understanding this intersection is crucial for investors and builders navigating a landscape where policy decisions directly impact market viability and individual prosperity over the next 6-12 months.
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February 4, 2026

Will Trump's New Fed Chair Crash Markets? | Joseph Wang

Forward Guidance

Crypto
Key Takeaways:
  1. Politically influenced central banking is returning, making monetary policy an electoral tool. Fed decisions will reflect political priorities, potentially leading to aggressive rate cuts.
  2. Re-evaluate portfolio sensitivity to political intervention. Position for lower long-term rates, but prepare for increased market volatility.
  3. The incoming Fed chair signals a re-alignment of monetary policy with executive branch goals. Expect policy to prioritize affordability and electoral success.
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February 3, 2026

New Fed Chair, Gold, Silver & Crypto Tank! Where Will Markets Go From Here?

Bankless

Crypto
Key Takeaways:
  1. The US is pivoting from a QE-fueled, government-led economy to a "free market" model under the new Fed Chair, Kevin Warsh. This means a potential reduction in the Fed's balance sheet (QT) and lower rates without yield curve control (YCC), leading to decreased US dollar liquidity.
  2. Adopt a phased, data-driven allocation strategy. Michael Nato recommends an 80% cash position, deploying first into Bitcoin (65% target) at macro lows (around 65K-58K BTC, MVRV < 1, 200WMA touch), then into high-conviction core assets (20%), long-term holds (10%), and finally "hot sauce" (5%) during wealth creation.
  3. The current "wealth destruction" phase, while painful, presents a rare opportunity to accumulate assets at generational lows, provided one understands the macro shifts and adheres to a disciplined, multi-stage deployment plan.
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February 3, 2026

Building the Onchain Super App | Xiao-Xiao J. Zhu

Lightspeed

Crypto
Key Takeaways:
  1. The financial world is splitting into two parallel systems: opaque TradFi and transparent onchain finance. Value is migrating to platforms that can simplify and distribute onchain financial products globally.
  2. Invest in or build applications that prioritize mobile-native experiences, abstract away crypto complexities (like gas fees), and offer tangible real-world utility for onchain assets.
  3. The future of finance is onchain, and "super apps" like Jupiter are building the necessary infrastructure and user experiences to onboard the next billion users.
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February 3, 2026

The Crypto Community Hangover w/ David Hoffman

The Gwart Show

Crypto
Key Takeaways:
  1. Crypto's initial broad vision has narrowed to specific financial use cases, while AI and traditional markets capture broader attention. This means builders must focus on tangible value and investors on proven models.
  2. Identify projects with novel token distribution models (like Cap's stablecoin airdrop) or those building consumer-friendly applications within new ecosystems (like Mega ETH) that address past tokenomics failures.
  3. The industry is past its naive, speculative phase. Success hinges on practical applications, robust tokenomics, and competing with traditional finance, not just abstract ideals.
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February 3, 2026

The Crypto Community Hangover w/ David Hoffman

The Gwart Show

Crypto
Key Takeaways:
  1. The Macro Shift: From unbridled, community-driven idealism to a pragmatic, business-focused approach. Early crypto imagined a world where "everything is a thing on Ethereum," but reality has narrowed its primary use cases to finance and trading, forcing a re-evaluation of tokenomics and community models. This shift is also driven by AI capturing mindshare and traditional finance co-opting blockchain tech.
  2. The Tactical Edge: Re-evaluate token distribution models. Instead of relying on inflationary yield farming that creates sell pressure, explore innovative approaches like Cap's "stable drop" (airdropping stablecoins, then inviting participation in a token sale) to align incentives and attract long-term holders. Focus on building real products with defensible business models, even if they lean more "business" than "protocol."
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