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AI Podcasts

January 12, 2026

Nvidia CES 2026

Semi Doped

AI
Key Takeaways:
  1. The transition from centralized cloud training to distributed local inference creates a massive demand for high-bandwidth storage and custom CPUs.
  2. Audit your technical roadmap to prioritize local agentic workflows that reduce latency and data privacy risks.
  3. The next 12 months will favor hardware that enables physical AI and local autonomy. Owning the compute stack is becoming a competitive necessity for builders who want to move faster than the cloud allows.
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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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Crypto Podcasts

June 13, 2025

Standard Chartered: The Bull Case For Solana | Geoff Kendrick

Lightspeed

Crypto
Key Takeaways:
  1. Solana's Next Act is Crucial: Current memecoin activity, while impressive, is viewed by institutions like Standard Chartered as less sustainable than diversified utility; a pivot to tokenized equities or social is key for long-term valuation.
  2. Perception Battles Performance: Ethereum's established "trustworthiness" gives it an institutional edge, even if Solana offers superior tech for certain applications. Solana must overcome its "memecoin" image to attract serious TradFi.
  3. Near-Term Headwinds for Solana Relative to Ethereum: Kendrick suggests Ethereum might outperform Solana in the near term (though both underperform Bitcoin) as Solana navigates its transition phase, while Ethereum benefits from incumbency in stablecoins and tokenized RWAs.
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June 12, 2025

The Digital Payment Race That Will Reshape the World

Forward Guidance

Crypto
Key Takeaways:
  1. **Currency Cold War:** A "currency conflict" is unfolding, with the winner set to define the financial backbone of the next-gen internet and global commerce.
  2. **Stablecoins vs. The State:** USD stablecoins are pitched as the West's best bet for the internet's future currency, directly competing with state-backed digital currencies like China's e-CNY.
  3. **Agent-Powered Internet:** The dream is an internet where AI agents, fueled by ultra-low-cost stablecoin transactions, manage our digital lives, moving incentives away from human attention.
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June 12, 2025

The Last Mile Problem For Stablecoins | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. **Solve Real Friction:** The "last-mile" challenge—seamlessly converting stablecoins to local cash in emerging markets—remains the critical bottleneck and prime opportunity for stablecoin protocols.
  2. **Moats are Real:** Overcoming established players like Tron requires more than just better tech or lower fees; it demands superior distribution and user migration strategies.
  3. **Align Incentives:** Morpho's structural changes offer a compelling model for aligning team, investor, and token holder interests, potentially setting a new standard for Web3 projects.
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June 12, 2025

Hivemind: Circle Valuation, Pump.Fun Token & What We’re Bullish

Empire

Crypto
Key Takeaways:
  1. Deficit Tailwinds: Persistent global fiscal deficits are expected to continue fueling appreciation in risk assets, including cryptocurrencies.
  2. Stablecoin Tsunami: Stablecoins are not just a crypto niche but a fundamental disruptor to the traditional banking system, with significant investment flowing into leaders like Circle, despite valuation concerns.
  3. App-Layer Alpha: Value is increasingly found in specific applications (like Pump.Fun) and companies leveraging crypto (like Galaxy Digital's AI/crypto blend), sometimes even diverting attention from base-layer L1 tokens.
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June 12, 2025

Why ETH Might Be the Most Mispriced Asset in the World

Bankless

Crypto
Key Takeaways:
  1. ETH's Narrative is Shifting: From "tech stock" to "digital oil" and "store of value," clarifying its multifaceted value.
  2. Supply Squeeze Imminent: Capped issuance plus rising demand driven by network activity and institutional adoption points to a strong supply-demand imbalance.
  3. Massive Re-rating Potential: If ETH achieves a similar status to other global reserve assets, its price could see exponential growth from current levels.
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June 11, 2025

How RLUSD Will Join USDT & USDC

Empire

Crypto
Key Takeaways:
  1. **RLUSD Rising:** Ripple's ambition is clear: make RLUSD a top 3-4 stablecoin by leveraging strategic acquisitions for mass distribution, potentially issuing billions through platforms like Hidden Road.
  2. **Acquisition = Distribution:** Ripple is effectively purchasing its market share by acquiring businesses like Hidden Road and Metaco, creating an embedded network to push RLUSD adoption.
  3. **Stablecoin Selects:** The future stablecoin landscape will likely feature 5-7 major players, not just two, and Ripple is aggressively positioning RLUSD to be one of them.
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