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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

December 17, 2025

S3 Ep3_V1

The People's AI

Crypto
Key Takeaways:
  1. **Evolving Human-AI Interaction:** Our relationship with AI, especially digital personas, will evolve rapidly. Society will develop "genre literacy" to understand and integrate these new forms of connection.
  2. **Builder/Investor Note:** Prioritize user agency in design. Implement "sunsets" for grief bots and avoid intrusive notifications. Invest in decentralized data solutions that empower individual control over digital legacy.
  3. **The "So What?":** Grief tech forces a philosophical reckoning. As digital personas become more sophisticated, the very definition of "death" and "being alive" will blur, creating unprecedented social, legal, and economic implications.
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December 17, 2025

Hash Rate - Ep 150 - Babelbit Subnet 59

Hash Rate Podcast

Crypto
Key Takeaways:
  1. AI Development Shift: BitTensor is redefining how complex AI is built, offering a decentralized, capital-efficient, and talent-rich alternative to traditional corporate and VC models.
  2. Investor Opportunity: This creates a new asset class for investors seeking early-stage AI exposure with token liquidity, but demands a high tolerance for volatility and a deep understanding of technical roadmaps.
  3. Builder's Playbook: For AI builders, BitTensor offers a platform to focus on core technology, leverage specialized models, and build interoperable services, accelerating innovation without the typical startup overhead.
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December 17, 2025

Hash Rate - Ep 151 - Bittensor EXPLOIT Summit March 30-31 SF

Hash Rate Podcast

Crypto
Key Takeaways:
  1. **Narrative Shift:** BitTensor is actively moving beyond its crypto-native roots to position itself as a serious, efficient platform for mainstream AI development.
  2. **Builder Opportunity:** For AI engineers, BitTensor offers a unique model to access distributed compute and talent, potentially reducing development costs and accelerating innovation.
  3. **Long-Term Play:** Exploit, scheduled for 2026, signals a long-term strategic vision for BitTensor's growth and mainstream adoption, requiring sustained community and developer engagement.
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December 17, 2025

How To Position In A "Slowdown" Regime | Market Radar

Forward Guidance

Crypto
Key Takeaways:
  1. **Strategic Implication:** The market's current "slowdown regime" demands caution. Avoid highly leveraged directional bets in traditional risk assets.
  2. **Builder/Investor Note:** Simplistic macro models and headline-driven narratives are failing. Focus on robust, multi-factor systematic approaches to identify true signal from noise.
  3. **The "So What?":** The Fed's political constraints on inflation mean a return to 2% without a recession is unlikely, potentially keeping inflation between 2-3% and supporting real assets, but with continued volatility.
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December 17, 2025

Lark Davis: The Bull & Bear Thesis for Digital Assets

The Rollup

Crypto
Key Takeaways:
  1. Concentration is Key: Ruthlessly prune portfolios, focusing on assets with clear utility, user adoption, and robust value accrual mechanisms.
  2. Build for Revenue: For builders, design tokenomics that directly reward token holders with revenue or buybacks, moving beyond abstract governance.
  3. Macro Over Cycle: The Fed's liquidity injections and potential rate cuts could override historical crypto cycles, creating a unique market environment for the next 6-12 months.
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December 17, 2025

Aave Defeats SEC, Token vs. Equity, Lark Davis, Dynamix, Threshold

The Rollup

Crypto
Key Takeaways:
  1. Strategic Implication: The market is bifurcating. Institutional capital is flowing into Bitcoin and tokenized RWAs, while many altcoins face a reckoning over their lack of clear value accrual.
  2. Builder/Investor Note: Builders must design tokens with explicit economic rights or revenue share. Investors should concentrate on assets with strong fundamentals and institutional tailwinds, adopting a pragmatic, long-term view.
  3. The "So What?": The next 6-12 months will see continued institutional integration, potentially overriding traditional crypto cycles due to stimulative monetary policy. Focus on infrastructure that bridges TradFi and crypto, and solutions addressing AI's insatiable energy demand.
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