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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 If you do not create the next version of reality, you are stuck living in an outdated vision.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 12, 2026

HIP-3 Market Design and Felix’s Role | Charlie, Felix Protocol

0xResearch

Crypto
Key Takeaways:
  1. The Macro Strategic Pivot: Vertical Consolidation. Protocols are moving away from modularity toward integrated stacks to capture maximum fee revenue.
  2. The Tactical Edge: Monitor BLP Rates. Watch the spread between Felix and Hyperliquid’s native lending rates. Capital will migrate to the platform offering the lowest borrow cost for margin trading.
  3. The Bottom Line: Hyperliquid is winning by becoming a DeFi Super App rather than just a perp engine. Its success over the next year depends on its ability to manage UI fragmentation while keeping all revenue inside the Hype ecosystem.
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January 12, 2026

Is Canton a Real Blockchain? | Canton Founder Yuval Rooz

Bankless

Crypto
Key Takeaways:
  1. The Macro Transition: We are seeing a split between "Pure Crypto" for sovereignty and "Institutional Rails" for global capital markets.
  2. The Tactical Edge: Monitor Broadridge volume to gauge the actual velocity of institutional on-chain adoption.
  3. The Bottom Line: The next decade is not about crypto replacing banks. It is about banks adopting crypto's efficiency while keeping their legal moats.
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January 12, 2026

Who Actually Owns the Aave Brand -- the DAO or Labs? Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. The "Fat App" thesis is evolving into the "Sovereign Brand" thesis where the front-end is the ultimate moat.
  2. Audit your protocol's meatspace dependencies—domains, trademarks, and front-ends—before they become points of failure.
  3. Decentralization isn't just about smart contracts; it is about ensuring the front door to your protocol cannot be locked by a single executive.
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January 10, 2026

Why Crypto Still Struggles to Capture the Value It Creates | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. The transition from "Software as a Service" to "Software as a Network" where value flows to the protocol layer.
  2. Prioritize infrastructure that owns the end-user relationship or provides essential stability for open stacks.
  3. AI models will migrate to crypto rails to solve the monetization gap that has hindered open-source development for forty years.
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January 10, 2026

LIVE: Aerodrome and Metadex03 | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The Macro Trend: The transition from fragmented L2 liquidity to unified cross-chain execution.
  2. The Tactical Edge: Monitor Arrow’s Q2 launch on Mainnet to capitalize on the initial liquidity migration.
  3. The Bottom Line: Arrow is building the operating system for Ethereum liquidity. If they capture even a fraction of Mainnet the economic model moves from inflationary to net-positive.
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January 10, 2026

Jordi Alexander on Market Outlook, Token Buybacks, and Neo Finance

The Rollup

Crypto
Key Takeaways:
  1. The move from "fugazi decentralization" to "Neo Finance" means capital will flee empty L1s for protocols with verifiable revenue.
  2. Accumulate Bitcoin as a macro hedge while building a basket of revenue-generating alts like Meteora or Hyperliquid during price dips.
  3. Survival in 2026 requires moving past the "infra thesis" to find projects that treat their token as a real financial instrument.
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