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AI Podcasts

January 9, 2026

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

AI Engineer

AI
Key Takeaways:
  1. The transition from "vibe coding" to "spec-driven" engineering.
  2. Implement EARS-formatted requirements in your AI prompts.
  3. Determinism is the ultimate feature for AI-assisted development.
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January 8, 2026

Post-training best-in-class models in 2025

Weights & Biases

AI
Key Takeaways:
  1. Intelligence is decoupling from scale. As reasoning becomes a commodity, the value moves from the size of the model to the proprietary nature of the training data.
  2. Use TRL or Unsloth for single-GPU fine-tuning. Prioritize cleaning your instruction sets over increasing your training iterations.
  3. The future belongs to those who own their data pipelines. If you can distill elite reasoning into a 350M parameter model, you win on latency, cost, and privacy.
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January 8, 2026

Intelligent Robots in 2026: Are We There Yet? [Nikita Rudin] - 760

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Moving from Blind Locomotion to Semantic Navigation defines the next frontier.
  2. Prioritize modular architectures that use off-the-shelf VLMs for task orchestration.
  3. Expect the first value-positive humanoid deployments in late 2026.
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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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Crypto Podcasts

June 2, 2025

Onboarding the Next Billion Users with Galxe | Yumin Xia

Proof of Coverage Media

Crypto
Key Takeaways:
  1. Lowering Entry Barriers: Galxe's "learn, explore, earn" model makes crypto accessible by allowing users to earn their first tokens, fostering organic community growth for projects.
  2. Privacy-Preserving Verification: The adoption of Zero-Knowledge Proofs for quests and identity is key to building user trust and enabling verifiable on-chain activity without compromising personal data.
  3. Integrated Infrastructure: By developing its own L1, Gravity Chain, Galxe aims to provide a seamless, high-performance experience, tackling cross-chain friction and offering a robust platform for dApps and users.
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June 2, 2025

What's Next For BTC, Crypto's Biggest Innovation & Picking Winners In 2025

1000x Podcast

Crypto
Key Takeaways:
  1. Leverage Kills: Excessive open interest relative to price movement is a clearer warning sign than funding rates alone; avoid getting over-levered at market highs.
  2. Perps are the Future: Perpetual swaps are a superior financial product for speculation and could see explosive growth, with crypto platforms leading the charge if US regulation permits.
  3. Buy the Geopolitical Dip (Wisely): Bitcoin often dips on geopolitical scares but rallies on subsequent government stimulus, presenting strategic entry points.
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June 2, 2025

Debate: How to Value an L1 Token

Empire

Crypto
Key Takeaways:
  1. L1 Valuation is Evolving: Investors are moving beyond simple metrics, seeking frameworks that capture both transactional utility (REV) and monetary premium (RSOV).
  2. The "Money" Angle is Key: Understanding L1 tokens as emerging forms of non-sovereign money, with value driven by capital flows and store-of-value properties, is critical for long-term investment theses.
  3. Focus on Real Yield Drivers: For investors, analyzing how L1s plan to capture value from contentious state (e.g., sequencing fees) is crucial, as this will be a durable source of real yield and token demand.
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June 2, 2025

Bitcoin Hits Escape Velocity! Mike Novogratz on the Bond Crisis, Genius Act & AI’s Crypto Future

Bankless

Crypto
Key Takeaways:
  1. Bitcoin's Bull Run is Just Starting: Driven by broad adoption and macro uncertainty, Bitcoin has hit "escape velocity" with significant upside potential.
  2. Regulatory Winds Have Shifted: The impending Genius Act and a more crypto-friendly SEC are set to unleash a wave of innovation and institutional participation.
  3. Tokenization & AI are Converging: The tokenization of real-world assets, especially equities, and the build-out of AI infrastructure (often by crypto-related entities) are major growth vectors.
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June 2, 2025

Finding Product Market Fit In Crypto

Lightspeed

Crypto
Key Takeaways:
  1. **Infrastructure is the New Frontier:** Prioritize crypto ventures using blockchain as a foundational layer to innovate and compete with Web2, moving beyond purely crypto-centric applications.
  2. **Solve Real Problems, Not Chase Hypotheses:** True PMF stems from addressing tangible user pain points; market creation is often a byproduct of successful problem-solving, not an initial goal.
  3. **Large Markets Fuel Pivots:** While a sharp focus is vital, building within a substantial market provides the necessary runway and adjacent opportunities critical for navigating the path to PMF.
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June 2, 2025

The Race to Replace Mainnet | Ian Unsworth, Kairos Research

0xResearch

Crypto
Key Takeaways:
  1. UX is King: Seamless, integrated user experiences (like Hyperliquid's or a desired "Robin Hood for crypto") will win, as fragmentation (EVM L2s) breeds user frustration and churn.
  2. Solana's Ascent: Alpenlow’s 150ms finality and zero voting costs significantly enhance Solana's competitive edge, driven by an "underdog" culture of relentless improvement.
  3. ETH's Identity Search: Ethereum needs decisive leadership and a unified technical/narrative strategy to counter fragmentation and challengers; price pressure often serves as its main catalyst for action.
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