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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

December 30, 2025

Landmark Regulation, ICOs, Downtober & Privacy: 2025 Crypto Year in Review (Part 2)

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: Regulatory moats are being built around stablecoins to protect bank deposits. This forces a migration toward "consortium" models like Stripe’s Tempo.
  2. The Tactical Edge: Audit market maker agreements to ensure protection against exchange API failures. Reliability is now a competitive advantage.
  3. 2026 looks like a liquidity-driven recovery. The "easy road" is over, but the infrastructure for the next cycle is finally being built by adults.
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December 29, 2025

HIP-3 and Markets by Kinetiq with Omnia | Livestream

0xResearch

Crypto
Key Takeaways:
  1. The Macro Trend: Vertical Integration. Protocols are moving from single-utility tools to full-stack financial ecosystems that own both the liquidity and the application layer.
  2. The Tactical Edge: Monitor HIP-3 auctions. Watch how new exchanges utilize Kinetic's infrastructure to bootstrap liquidity without issuing predatory new tokens.
  3. The Bottom Line: Kinetic is building the infrastructure for a post-Binance world where users own the venues they trade on. This matters for your roadmap because user-owned liquidity is the next major phase of DeFi growth.
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December 29, 2025

Investing Trends for 2026: DeFi, Tokenization, Capital Formation, Speculation & AI

Bankless

Crypto
Key Takeaways:
  1. The move from human-centric trading to an agent-led economy where programmable money is the native substrate.
  2. Prioritize startups building verticalized tokenization for high-yield exogenous assets rather than generalized service providers.
  3. Crypto is becoming the invisible backend for global finance. Over the next year, the winners will be those who hide the blockchain while using its efficiency to crush traditional margins.
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December 28, 2025

Getting To The Bottom Of Quantum w/ Rearden

The Gwart Show

Crypto
Key Takeaways:
  1. The Macro Transition: Cryptographic security is moving from static models to active systems that must anticipate both classical and quantum breakthroughs.
  2. The Tactical Edge: Audit your UTXOs to ensure no address reuse and keep your Xpubs strictly offline.
  3. The Bottom Line: Quantum risk is a long tail event that serves as a catalyst for necessary Bitcoin upgrades like OP_CAT and BIP 360.
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December 28, 2025

Getting To The Bottom Of Quantum w/ Rearden

The Gwart Show

Crypto
Key Takeaways:
  1. The Macro Shift: Technical reality is decoupled from venture capital hype.
  2. The Tactical Edge: Use hashed addresses and run a node.
  3. The Bottom Line: Quantum is an engineering hurdle rather than an existential crisis for the next decade.
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December 28, 2025

What Can DeFi Users Actually Do on Canton Network Today?

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional Migration. As large-scale capital seeks on-chain efficiency, it will gravitate toward networks that offer privacy as a default.
  2. The Tactical Edge: Monitor Infrastructure. Track the rollout of Canton-native stablecoins to identify when the liquidity floodgates open for professional traders.
  3. The Bottom Line: Canton is building for the "Quiet Money." If you are looking for the next dog coin, look elsewhere, but if you want to see how the global financial system actually moves on-chain, this is the network to watch over the next year.
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