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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 9, 2025

Can Ethereum Scale The L1? | Weekly Roundup

Lightspeed

Crypto
Key Takeaways:
  1. Efficiency ≠ Centralization: Coordinated, rapid bug fixes are signs of an active, aligned ecosystem, not inherent centralization.
  2. L1 Utility is Paramount: Both Ethereum and Solana ecosystems depend on their base layers being genuinely useful and economically viable to support L2s and broader application development.
  3. Performance Drives Decentralization: Contrary to the traditional trilemma, the most performant L1 (attracting the most activity and thus revenue for validators) will likely become the most decentralized due to stronger economic incentives for participation.
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May 6, 2025

Ex Jane Street Veteran's Journey To Crypto | Thomas Uhm

Lightspeed

Crypto
Key Takeaways:
  1. JitoSol's Institutional Edge: JitoSol’s design—autonomy, yield-bearing, and reduced counterparty risk—positions it as attractive institutional-grade collateral and a scalable yield product on Solana.
  2. Sustainable Systems Over Subsidies: Long-term value in crypto infrastructure and services like market making will come from robust, economically sound systems, not short-term, unsustainable incentives.
  3. Solana's Determinism Drive: Solana's push for greater network determinism (predictable transaction outcomes) directly addresses a core institutional need, potentially unlocking further capital allocation.
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May 6, 2025

Bits + Bips LIVE - May 5th, 2025

Unchained

Crypto
Key Takeaways:
  1. Tariff Turmoil Persists: Despite calming rhetoric, the haphazard US tariff rollout creates ongoing uncertainty, with potential for significant market impact if key sectors like AI chips are targeted.
  2. ETH's Uphill Battle: Ethereum faces significant headwinds in sentiment and relative performance; its path to renewed relevance depends on attracting major institutional adoption.
  3. Momentum is King in Crypto: Crypto markets, including assets like XRP (viewed as a short-term trade) and even Doge (noted for technicals), are primarily driven by attention and momentum, not traditional valuation metrics.
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May 5, 2025

Is Saylor Destined to Blow Up?

1000x Podcast

Crypto
Key Takeaways:
  1. **Saylor's Gambit is Bitcoin's Sword of Damocles:** MicroStrategy's leveraged Bitcoin accumulation is a major systemic risk; a blow-up could trigger a severe market downturn.
  2. **Trade Fundamentals, Not Just Narratives:** Focus on assets showing real usage or fitting strong themes (RWA, AI, DeFi yield) as the market gets selective. ETH remains fundamentally challenged despite price bounces.
  3. **Choppy Waters Ahead, Cash is King (Again):** Expect market consolidation. Reduce leverage, hold some cash, and look for dips in strong assets (like Tao) or opportunities to short weak ones (like ETH) – but avoid shorting in euphoric breakouts.
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May 5, 2025

Alex Tapscott: How I Predicted Crypto's Rise (And What's Coming Next)

The Rollup

Crypto
Key Takeaways:
  1. Institutional Bitcoin Demand is Real: Major players are accumulating Bitcoin via direct purchases and ETFs, creating sustained buying pressure.
  2. RWAs & AI are Next: Focus on the tokenization of traditional assets and the infrastructure enabling AI agents to transact autonomously on-chain.
  3. Bet on Platforms for AI: Consider exposure to high-throughput Layer 1s likely to become hubs for AI-driven activity as a proxy for the AI/crypto theme's growth.
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May 2, 2025

The US Treasury’s Stablecoin Report, TradFi’s Crypto Adoption, and Ethereum’s New Era | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Stablecoins Go Global: Prepare for a $2T market, fueled primarily by international demand, potentially reshaping banking competition.
  2. TradFi Bridge Built: Institutional adoption is accelerating (Schwab, BlackRock), creating a stark disconnect between strong fundamentals and current market sentiment—ripe for alpha hunters.
  3. Ethereum Adapts: ETH's deep liquidity anchors DeFi, but stablecoins and new L1s (like Thru) challenge its dominance, pushing ongoing evolution (Restaking, potential VM changes).
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