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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

April 29, 2025

Would you take Bitcoin over 5 years or random altcoins?

The Gwart Show

Crypto
Key Takeaways:
  1. Altcoin Asymmetry: Lower-cap altcoins offer higher potential percentage gains (3-4x) with less required capital inflow compared to Bitcoin.
  2. Bitcoin's Gravity: Bitcoin's massive size makes large multiple gains (like 3x) significantly harder, requiring vast capital injections.
  3. Liquidity is King: Your bet hinges on future macro conditions; high liquidity environments tend to disproportionately benefit riskier, less liquid altcoins.
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April 29, 2025

Bits + Bips Live: Crypto, Macro, Tariffs, Stablecoins, and More

Unchained

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** Market reactions demonstrably curb aggressive tariff policies; expect continued volatility but likely avoidance of worst-case tariff scenarios as Trump needs stable markets.
  2. **Bitcoin Treasury Flywheel Spins Faster:** Expect more MicroStrategy clones globally, leveraging debt and equity markets to acquire Bitcoin. Monitor NAV premiums closely – their collapse is the model's Achilles' heel.
  3. **Bitcoin's Narrative Strengthens:** Bitcoin's recent decoupling and resilience amid macro turmoil bolsters its digital gold thesis, attracting attention even from skeptics, while altcoins struggle to keep pace this cycle.
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April 28, 2025

Bitcoin’s Macro Status, Ethereum’s Cultural Reset, and Solana’s Growth Risk | Jon Charbonneau

0xResearch

Crypto
Key Takeaways:
  1. Bitcoin Stands Alone: Recognized globally, Bitcoin operates in its own macro league, detached from altcoin tech narratives.
  2. Ethereum's Redemption Arc?: A pivot to user needs and L1 scaling is underway, but Ethereum must deliver concrete performance upgrades to compete effectively.
  3. Execution is King: Solana leads the speed race but faces valuation/fee risks. The future favors chains offering the best, most sovereign execution environment, with modular plays like Celestia betting on a hyper-scaled world.
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April 28, 2025

BlackRock's Crypto Strategy In 2025 With Samara Cohen

Empire

Crypto
Key Takeaways:
  1. IBIT's Success Validates the Bridge: The Bitcoin ETP proved massive latent demand exists for accessing crypto via familiar, regulated wrappers, bringing many new investors into the fold.
  2. Tokenization Targets Infrastructure First: Forget tokenizing illiquid JPEGs (for now); the real institutional action is using blockchains to fix inefficient TradFi plumbing, starting with cash and collateral.
  3. Data & Standards are The Next Hurdle: Broader institutional adoption beyond Bitcoin requires solving the crypto data, standards, and valuation puzzle to enable reliable analysis and indexing.
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April 28, 2025

Crypto's Fastest Growing App: Is Pumpfun's Revenue Sustainable?

Lightspeed

Crypto
Key Takeaways:
  1. Revenue Reality Check: Pumpfun's impressive revenue warrants investigation; sustainability is questionable if heavily reliant on bot activity or if it operates like a high-loss "casino" for users.
  2. Platform Duality: Pumpfun serves as both a backend launchpad discovered via external platforms and a direct trading venue, with ~70% of pre-launch volume happening on-site.
  3. High-Risk Environment: The platform operates like a "less fair casino," meaning users should anticipate significant risk and potential for loss.
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April 28, 2025

Do VC tokens actually have value, or are they leaching off retail investors?

The Gwart Show

Crypto
Key Takeaways:
  1. Potential has Price: Markets value the option for a token to capture future cash flows, not just current ones. Dismissing tokens without active fees is shortsighted.
  2. Fee Activation Isn't Genesis: Turning on token fees typically causes a moderate price bump (15-20%), proving the market already factored in this possibility.
  3. Governance is Power: The right to govern, including the right to implement future economics, constitutes a tangible source of value recognized by the market.
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