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AI Podcasts

January 13, 2026

It's Time To Build

a16z

AI
Key Takeaways:
  1. The Macro Shift: Infrastructure Invisibility. As core technologies become background noise, value moves from the pipes to the unique experiences built on top of them.
  2. The Tactical Edge: Reject Mediocrity. Audit your product for average features and replace them with high-conviction improvements that competitors are too lazy to attempt.
  3. The Bottom Line: Building is the only way to ensure the future happens. If you do not create the next version of reality, you are stuck living in an outdated vision.
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January 13, 2026

Nothing’s Carl Pei on Building a $1B Smartphone Company and Why He Thinks About Death Every Week

The Generalist

AI
Key Takeaways:
  1. The transition from hardware specs to emotional hardware where brand identity and OS-native AI become the primary moats.
  2. Prioritize arbitrage opportunities in marketing by finding underpriced attention on platforms like TikTok before they become crowded.
  3. Success in mature markets requires a Genghis Khan method: be a talent scout, stay open-minded to global supply chains, and use design to win the emotional battle for the consumer's pocket.
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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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Crypto Podcasts

February 16, 2026

Does Bitcoin Win or Lose In The Great AI-Tech Shakeout?

Unchained

Crypto
Key Takeaways:
  1. Bitcoin, once digital gold, is now frontier tech, vulnerable to broader tech sell-offs.
  2. Reallocate capital towards crypto assets benefiting from regulatory clarity and innovation: stablecoins, tokenized assets, privacy, prediction markets, perpetual futures.
  3. Bitcoin's short-term narrative is challenged, but its long-term tech thesis holds.
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February 17, 2026

Soft Jobs, AI CapEx Surge, and Institutions Move Onchain: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Real-time data platforms are supplanting traditional economic reporting, forcing investors to re-evaluate their information sources, while AI's capital expenditure is creating a bifurcation between infrastructure providers and speculative model companies.
  2. Prioritize investments in blockchain infrastructure and stablecoin-centric payment solutions that cater to the emerging agentic economy, and leverage real-time data for a competitive information advantage.
  3. The convergence of real-time data, AI agents, and blockchain rails will fundamentally alter market dynamics and value capture over the next 6-12 months, rewarding those who understand the shift from centralized, lagging systems to decentralized, optimized ones.
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February 17, 2026

Bitcoin Is Either Going To Zero Or A Million

1000x Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: AI is fundamentally reshaping corporate IT spending, driving a strategic pivot from external SaaS subscriptions to internal development, which will consolidate profits within mega-cap tech and pressure traditional software vendors.
  2. The Tactical Edge: Identify and invest in vertically integrated tech giants that can leverage AI for internal cost savings and new product development, while selectively shorting asset-heavy, midstream, or non-essential SaaS providers during strength.
  3. The Bottom Line: The current market is a re-evaluation of fundamental value across tech and crypto. Focus on companies with strong internal demand for compute and real-world utility, and understand that crypto's speculative cycles, while volatile, are driven by a unique social dynamic that will persist.
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February 16, 2026

MegaETH in 2026 & Ethereum's L2 End Game | Brett DiNovi & Lei Yang

Empire

Crypto
Key Takeaways:
  1. High-performance L2s are carving out new market segments by prioritizing user experience and speed over strict L1 equivalence, challenging traditional value accrual models.
  2. Builders should target L2s offering ultra-low latency and predictable costs for consumer-facing DeFi and gaming, as these environments enable novel, sticky applications.
  3. The next wave of crypto adoption hinges on L2s that can deliver real-time, seamless experiences, shifting value capture from L1 monetary premium to execution premium and innovative tokenomics.
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February 16, 2026

Lyn Alden: How to Survive The Gradual Print Era — Fed Chair Warsh, Gold & Bitcoin

Bankless

Crypto
Key Takeaways:
  1. The global monetary order is transitioning from a unipolar, dollar-dominant system to a multipolar one, driven by sovereign debt and geopolitical competition. This change elevates neutral reserve assets and challenges traditional financial institutions.
  2. Diversify your portfolio across high-quality equities (with an international and value tilt), hard assets (gold, silver, platinum, Bitcoin), and real-world assets like energy infrastructure. Maintain 5-10% cash for opportunities.
  3. The "gradual print" and ongoing monetary reordering mean sustained debasement of fiat currencies. Positioning in hard assets and resilient, undervalued real-world businesses is crucial for preserving and growing wealth over the next 6-12 months.
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February 16, 2026

As the AI Trade Cools Off, Are Bitcoin Miners Still a Buy?

Unchained

Crypto
Key Takeaways:
  1. The relentless demand for AI compute is transforming Bitcoin miners from speculative, commodity-dependent entities into stable, infrastructure-as-a-service providers. This pivot leverages their core asset—cheap power—to capture predictable, high-margin revenue streams.
  2. Evaluate Bitcoin mining stocks based on their AI contract pipeline, execution capabilities, and access to consistent power, rather than solely on Bitcoin price correlation. Prioritize those with colocation leases to minimize GPU capex risk.
  3. The strategic shift to AI offers a compelling de-risking narrative for Bitcoin miners, potentially leading to higher valuations and more stable cash flows. However, investors must monitor execution risks and political headwinds around power access over the next 6-12 months.
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