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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

May 21, 2025

The REV Debate: Real Metric or Fake News? Jon, Bread, & Andy8052

Bankless

Crypto
Key Takeaways:
  1. REV is a starting point, not the finish line: It's a useful, objective measure of immediate user willingness to pay for blockspace but doesn't encompass all value drivers of an L1.
  2. App-layer eats L1 lunch (eventually): Expect applications to get better at internalizing value (like MEV), potentially reducing direct REV flow to L1s, making app success crucial for the L1 ecosystem.
  3. Narrative & adoption still trump pure metrics: For now, perceived momentum, user growth, and developer activity (like on Solana) can heavily influence L1 valuations, often overshadowing strict adherence to metrics like REV multiples.
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May 21, 2025

The Solana Treasury Strategy

Lightspeed

Crypto
Key Takeaways:
  1. Investing in specialized crypto treasury vehicles offers exposure not just to the underlying asset but also to a strategy of active accumulation and yield enhancement. These companies argue their NAV premiums are justified by their operational capabilities and future growth prospects.
  2. NAV Premiums Signal Future Growth: Market premiums on crypto-holding companies often reflect expectations of continued asset accumulation, not just current asset values.
  3. Expertise Drives Alpha: Specialized operational capabilities, like in-house validator management, can generate significantly higher yields (20-40% more) than readily available retail options.
  4. Sophisticated Strategies Outperform Simple Holding: For investors seeking optimized exposure, vehicles offering complex, managed strategies for asset accumulation and yield can provide an edge over direct, passive investment.
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May 20, 2025

The Microstrategy Of Solana Playbook With Dan Kang

Lightspeed

Crypto
Key Takeaways:
  1. Beyond ETFs: These treasury vehicles offer a more dynamic, potentially higher-return (and higher-risk) path to crypto exposure than standard ETFs, focusing on active accumulation and yield enhancement.
  2. Volatility as a Tool: For certain crypto-native companies, extreme stock volatility is actively cultivated to unlock unique capital market opportunities and attract specific investor demographics.
  3. The Solana "MicroStrategy" Model is Live: Companies like DeFi DevCorp are demonstrating that the playbook of leveraging public markets for aggressive, single-asset crypto accumulation can be replicated beyond Bitcoin, with Solana as a prime new candidate.
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May 20, 2025

Bits + Bips LIVE - May 19th, 2025

Unchained

Crypto
Key Takeaways:
  1. Tariffs Trump Tranquility: A 10% tariff floor could trigger summer stagflation, disrupting current Goldilocks market pricing.
  2. Stablecoin Bill is Bellwether: The fate of the "Genius Act" will significantly impact the trajectory of broader US crypto regulation and investor confidence.
  3. Institutional Crypto Evolves: Coinbase's S&P 500 nod and the push for diverse crypto ETFs (like Solana) underscore the sector's maturation, even as regulatory hurdles for features like staking persist.
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May 19, 2025

The State of Venture Today | Roundup Clip

Bell Curve

Crypto
Key Takeaways:
  1. LP Scrutiny Intensifies: Expect smaller fundraises for many VCs, especially in crypto, as LPs demand real returns (DPI) and, for crypto, regulatory certainty.
  2. Endowment Exodus Looms: Yale's $6B private equity sale signals a potential LP supply shock as other endowments may follow suit due to tax changes and liquidity needs.
  3. Elite VCs Consolidate Power: Capital will increasingly flow to the top 5-10 VC firms, particularly those with AI expertise, hastening the decline of underperformers.
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May 19, 2025

The Bull Case For Ethereum | Ryan Berckmans & Tom Dunleavy

Empire

Crypto
Key Takeaways:
  1. ETH's Valuation Paradigm Shift: Value ETH based on Total Value Secured (TVS), not diminishing transaction fees, as it aims to secure trillions in global assets.
  2. L1+L2 is the Winning Formula: Ethereum's strategy of scaling L1 alongside a diverse L2 ecosystem (offering political/business model diversity) is designed to onboard the world.
  3. Coordination & BD are Crucial: Renewed focus on cohesive narrative, business development (like Etherealize), and community alignment are vital to executing Ethereum's ambitious roadmap.
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