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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

January 12, 2026

Claude Opus 4.5’s Breakout Moment & Investing in 2026 with Qiao Wang

Empire

Crypto
Key Takeaways:
  1. The Macro Pivot: Proprietary data and enterprise switching costs are the only walls left standing as AI commoditizes the act of writing code.
  2. The Tactical Edge: Build internal tools using natural language agents to automate specific, low-volume workflows that third-party vendors ignore.
  3. The Bottom Line: The billion-dollar company with a single employee is no longer a fantasy; it is a mathematical certainty for those who master the prompt over the next twelve months.
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January 13, 2026

How Claude Code is Changing the World with Nick Emmons

The Rollup

Crypto
Key Takeaways:
  1. The migration from human-centric interfaces to agent-first protocols where software is a temporary utility rather than a permanent product.
  2. Use Git and MCP servers to give your agents a persistent memory and toolset, allowing them to work autonomously through complex loops.
  3. Software is no longer the prize; it is the commodity. Your value in the next year depends on how well you direct the agents that build it.
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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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