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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 27, 2025

Hash Rate - Ep 113 - TAOFu Subnet Seeds

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. Fund Smarter, Not Harder: Tau's SNS tokens let Bittensor subnets raise capital by tokenizing a slice of future emissions, not their core alpha tokens, sidestepping immediate sell pressure.
  2. DTA Means Business: The Dynamic TAO model is a crucible, compelling Bittensor subnets to graduate from emission-chasers to product-driven, revenue-focused ventures.
  3. Unlocking Subnet Investing: SNS tokens, via LayerZero, promise to simplify access to subnet investments, potentially onboarding a wave of new capital and users to the Bittensor ecosystem from other chains.
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May 27, 2025

Is Bitcoin Heading To $150k?

1000x Podcast

Crypto
Key Takeaways:
  1. Bitcoin's Bullish Trajectory: Bitcoin is on a path to potentially reach $150k-$200k, supported by a low-hype, strong-setup environment and a more sophisticated investor base.
  2. Strategic Altcoin Hunting: Focus on revenue-generating altcoins with solid fundamentals (check DeFiLlama) and consider measured exposure to the burgeoning AI crypto sector.
  3. Prioritize Self-Custody: Given exchange vulnerabilities, holding your assets offline in cold storage is more critical than ever.
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May 27, 2025

Empire Cross-Post: The Bull Case For Ethereum | Tom Dunleavy & Ryan Berckmans

Bell Curve

Crypto
Key Takeaways:
  1. L1 is HQ: Ethereum's "pivot" reasserts the L1's central role, supported by L2s that offer crucial business model diversity and customization for the world coming on-chain.
  2. Value Accrual via Security & Confidence: ETH's valuation is increasingly tied to the total economic value it secures and the market's confidence in its future, not just direct fee revenue.
  3. Business Development is Crucial: To compete and grow, Ethereum requires a significantly more robust and proactive go-to-market strategy to attract users, institutions, and developers.
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May 27, 2025

The Altseason Rotation Has Begun! Here's The Data Behind the Next Rotation

Bankless

Crypto
Key Takeaways:
  1. Rotation Imminent: Data suggests Bitcoin's strength is setting the stage for capital to flow into altcoins, particularly Ether, which is seen as "hated" and due for a rebound against Bitcoin.
  2. Macro is Bullish (For Now): Continued fiscal spending and an anticipated stablecoin bill are significant tailwinds, though summer may bring some turbulence.
  3. Strategic Allocation is Key: Focus on assets with strong fundamentals or high attention. Consider beta plays like "blue-chip" meme coins (Pepe for ETH, Bonk for SOL) for higher-risk, higher-reward exposure, but plan exits for speculative positions.
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May 27, 2025

Travis Millott: Tao Templar, Bittensor Subnets, Dynamic Tao, Mining, Crypto Education | Ep. 44

Ventura Labs

Crypto
Key Takeaways:
  1. Dynamic Tao is High-Risk: Approach investments with extreme caution; the market is volatile, and significant capital loss is a tangible risk.
  2. Embrace Unpredictable Innovation: Bittensor's core value lies in its capacity to generate unforeseen, groundbreaking solutions from a global, permissionless, and competitive talent pool.
  3. Substrate Chain Decentralization is Critical: The successful decentralization of Bittensor's foundational layer is a paramount upcoming milestone for its long-term viability, security, and censorship resistance.
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May 26, 2025

The Bitcoin Treasury Playbook With Tyler Evans & Josh Solesbury

Empire

Crypto
Key Takeaways:
  1. Global Takeover: Bitcoin treasury strategies are rapidly globalizing, creating new Bitcoin-proxy investment vehicles in numerous capital markets.
  2. Investor Vigilance: While "Bitcoin plus" returns are alluring, investors must critically assess MNAV multiples and beware of highly leveraged companies lacking strong, transparent leadership.
  3. Reverse Tokenization is Real: Crypto assets are increasingly entering traditional finance via these public companies, fundamentally changing institutional access and perception.
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