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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 9, 2025

Why We Are Bullish

1000x Podcast

Crypto
Key Takeaways:
  1. Bitcoin is king: Expect Bitcoin to outperform traditional assets significantly; avoid fumbling this generational chance through common investor errors.
  2. Evolve your strategy: The game has shifted from infrastructure hype and rapid trading to identifying and holding quality applications and tokens like Hyperliquid or Syrup with longer horizons.
  3. Appetite meets fundamentals: While hype can drive initial pumps (e.g., Circle IPO), sustainable value lies in strong business models (Tether's organic growth) and clear token utility.
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June 9, 2025

How Venture Is Navigating Crypto IPOs

Empire

Crypto
Key Takeaways:
  1. **IPO Appetite is Real (for Some):** Public markets are hungry for crypto, but primarily for clear narratives like stablecoins (see: Circle); broader adoption requires substantial revenue.
  2. **VCs Get Flexible:** The smart money is adapting, ready to pounce on equity or tokens, depending on where the value (and exit) lies.
  3. **On-Chain IPOs - The Next Speculative Playground?:** Imagine a world where early-stage crypto companies list on-chain, offering a more productive outlet for speculative capital than today's memecoin casino.
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June 9, 2025

Is Joe Lubin the Michael Saylor of Ethereum?

Bankless

Crypto
Key Takeaways:
  1. Regulatory Renaissance: The SEC's stance has softened, creating a more favorable U.S. environment for crypto; Ether's non-security status (for the scope of the past investigation) is a major win.
  2. Ether as a Productive Treasury Asset: ESBET's strategy of acquiring and actively yielding Ether could set a new standard for corporate treasuries, showcasing Ether's utility beyond just holding.
  3. The "Trust Commodity" Narrative: Expect a strong push to frame Ether's value around its ability to provide programmable trust and facilitate economic activity, with Lubin championing this.
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June 6, 2025

Could Crypto Treasury Companies Create Systemic Risk for the Industry?

Unchained

Crypto
Key Takeaways:
  1. High Premiums are a Red Flag: The massive premiums (some at 80x NAV) on many new crypto treasury stocks are likely unsustainable and warrant extreme investor caution.
  2. Collateralization is the Catalyst: The primary systemic risk emerges if these shares become widely accepted as collateral, creating a leveraged ecosystem vulnerable to market shocks.
  3. History as a Guide: The industry must heed the lessons from GBTC's collapse to prevent irresponsible risk-taking and a potential repeat of cascading failures.
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June 6, 2025

0xResearch | Friday, June 6th

0xResearch

Crypto
Key Takeaways:
  1. Fiscal Reality Bites: Government spending, not just Fed moves, dictates the macro game; hedge accordingly.
  2. Structure Matters, Massively: Demand for "pure play" crypto assets is immense; projects clarifying token value accrual (a la Morpho) will win.
  3. Show, Don't Just Tell: For L1s and protocols, delivering tangible results and clear revenue paths to token holders trumps theoretical brilliance.
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June 6, 2025

PumpFun’s Impact on Solana, Circle’s IPO, and Elon and Trump’s Feud | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. PumpFun's Token Looms Large: With its massive user base and revenue, PumpFun's upcoming token is a critical event for Solana and the broader memecoin market, offering a direct investment into crypto's consumer wave.
  2. IPO Window is Open: Circle's successful IPO signals renewed investor interest in publicly traded crypto companies, potentially paving the way for more listings and providing liquidity events for equity holders.
  3. Regulatory Clarity is King: The future of crypto innovation, from token launches to organizational structures, hinges on clear market structure legislation to move beyond current cumbersome models.
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