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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 13, 2026

Providing Token holders with Real Economic Rights with SOAR | Thomas Curry

Proof of Coverage Media

Crypto
Key Takeaways:
  1. The unification of rights. The industry is moving away from "vague utility" toward hard-coded economic claims that institutional capital can actually model.
  2. Audit your portfolio for "Seniority." Prioritize projects that establish legal or smart-contract-based links to the underlying business entity rather than just "community" vibes.
  3. Real economic rights are the only way to attract the next wave of capital. If a token doesn't represent a claim on value, it is just a meme with extra steps.
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January 14, 2026

Hash Rate - Ep 152 - Loosh Subnet 78

Hash Rate Podcast

Crypto
Key Takeaways:
  1. The transition from "World Models" to "Reasoning Models" marks the end of the LLM-as-chatbot era. Capital is migrating toward systems that prioritize deterministic safety over raw statistical probability.
  2. Integrate deterministic ontologies into your agentic workflows to stop hallucinations at the architectural level. Use graph databases to provide structure that vector search lacks.
  3. The winner of the robotics race won't have the best motors. They will have the most relatable, ethically sound "brain" that humans actually trust in their homes.
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January 13, 2026

Playing the Right Games: Why Scores Quietly Replace Meaning

Bankless

Crypto
Key Takeaways:
  1. The Legibility Crisis: Global systems demand data which creates a gap between measurable outputs and actual value.
  2. Audit Your Scoreboards: List the metrics you track and identify the true beneficiary of that data.
  3. The Bottom Line: Success belongs to those who use high-scale systems without letting the numbers dictate their internal worth.
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January 13, 2026

Why Venezuela Likely Doesn't Have a $60 Billion Bitcoin Stash

Unchained

Crypto
Key Takeaways:
  1. Monetary Sovereignty Migration. When states weaponize the financial system, capital migrates to censorship-resistant stablecoin layers.
  2. Monitor Remittance Corridors. Watch for the growth of non-custodial stablecoin wallets in high-inflation regions as a leading indicator for broader DeFi adoption.
  3. The Venezuelan story proves that while state-led crypto projects fail, the utility of Bitcoin and stablecoins is a permanent fixture in the global south.
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January 12, 2026

Marc Graczyk: Numinous, Bittensor Subnet 6, AI Forecasting Agents, Polymarket Predictions | Ep. 78

Ventura Labs

Crypto
Key Takeaways:
  1. Verifiable intelligence is replacing black-box predictions. As AI agents become the primary participants in prediction markets, the value moves from the prediction itself to the verifiable logic behind it.
  2. Integrate real-time news APIs like Darch to give agents a qualitative edge over pure quant models.
  3. Forecasting is the ultimate utility for LLMs. If Numinous succeeds, Bittensor becomes the world's most accurate, explainable source of truth for investors and researchers.
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January 13, 2026

How Claude Code is Changing the World with Nick Emmons

The Rollup

Crypto
Key Takeaways:
  1. The transition from human-centric interfaces to agent-first protocols. As agents become the primary users, the internet will be rebuilt around machine-readable data and crypto-native payment rails.
  2. Integrate Model Context Protocol (MCP) servers into your workflow immediately. Use parallel Claude instances to act as both programmer and reviewer to bypass context window degradation.
  3. Software is no longer a product: it is a utility. Over the next year, the winners will be those who control the data graphs and the distribution channels, not the ones writing the code.
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