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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 If you do not create the next version of reality, you are stuck living in an outdated vision.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

January 14, 2026

$250M & $500M M&A talks, Neo finance category update, lots of action in DC ft. Polygon

The Rollup

Crypto
Key Takeaways:
  1. The rotation from metals to equities then crypto is accelerating as fiat debasement becomes the only political option.
  2. Prioritize "exogenous yield" protocols that bridge real-world revenue on-chain to capture non-inflationary returns.
  3. The next 12 months will see crypto move from an isolated casino to the primary infrastructure for the global financial system.
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January 13, 2026

Providing Token holders with Real Economic Rights with SOAR | Thomas Curry

Proof of Coverage Media

Crypto
Key Takeaways:
  1. The unification of rights. The industry is moving away from "vague utility" toward hard-coded economic claims that institutional capital can actually model.
  2. Audit your portfolio for "Seniority." Prioritize projects that establish legal or smart-contract-based links to the underlying business entity rather than just "community" vibes.
  3. Real economic rights are the only way to attract the next wave of capital. If a token doesn't represent a claim on value, it is just a meme with extra steps.
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January 14, 2026

Hash Rate - Ep 152 - Loosh Subnet 78

Hash Rate Podcast

Crypto
Key Takeaways:
  1. The transition from "World Models" to "Reasoning Models" marks the end of the LLM-as-chatbot era. Capital is migrating toward systems that prioritize deterministic safety over raw statistical probability.
  2. Integrate deterministic ontologies into your agentic workflows to stop hallucinations at the architectural level. Use graph databases to provide structure that vector search lacks.
  3. The winner of the robotics race won't have the best motors. They will have the most relatable, ethically sound "brain" that humans actually trust in their homes.
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January 13, 2026

Playing the Right Games: Why Scores Quietly Replace Meaning

Bankless

Crypto
Key Takeaways:
  1. The Legibility Crisis: Global systems demand data which creates a gap between measurable outputs and actual value.
  2. Audit Your Scoreboards: List the metrics you track and identify the true beneficiary of that data.
  3. The Bottom Line: Success belongs to those who use high-scale systems without letting the numbers dictate their internal worth.
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January 13, 2026

Why Venezuela Likely Doesn't Have a $60 Billion Bitcoin Stash

Unchained

Crypto
Key Takeaways:
  1. Monetary Sovereignty Migration. When states weaponize the financial system, capital migrates to censorship-resistant stablecoin layers.
  2. Monitor Remittance Corridors. Watch for the growth of non-custodial stablecoin wallets in high-inflation regions as a leading indicator for broader DeFi adoption.
  3. The Venezuelan story proves that while state-led crypto projects fail, the utility of Bitcoin and stablecoins is a permanent fixture in the global south.
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January 12, 2026

Marc Graczyk: Numinous, Bittensor Subnet 6, AI Forecasting Agents, Polymarket Predictions | Ep. 78

Ventura Labs

Crypto
Key Takeaways:
  1. Verifiable intelligence is replacing black-box predictions. As AI agents become the primary participants in prediction markets, the value moves from the prediction itself to the verifiable logic behind it.
  2. Integrate real-time news APIs like Darch to give agents a qualitative edge over pure quant models.
  3. Forecasting is the ultimate utility for LLMs. If Numinous succeeds, Bittensor becomes the world's most accurate, explainable source of truth for investors and researchers.
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