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 If you do not create the next version of reality, you are stuck living in an outdated vision.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

April 29, 2025

Why BlackRock Is Bullish On Tokenization

Empire

Crypto
Key Takeaways:
  1. Tokenization is Strategic: BlackRock sees tokenizing assets as fundamental to improving market access and efficiency, dedicating significant focus to this path.
  2. Bridging is Key: Practical solutions like ETPs and tokenized funds are crucial tools BlackRock is deploying to connect TradFi users and crypto-native institutions.
  3. Transition Takes Time: The shift to tokenized markets will be gradual, requiring careful management of legacy systems and ensuring interoperability is maintained.
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April 29, 2025

Would you take Bitcoin over 5 years or random altcoins?

The Gwart Show

Crypto
Key Takeaways:
  1. Altcoin Asymmetry: Lower-cap altcoins offer higher potential percentage gains (3-4x) with less required capital inflow compared to Bitcoin.
  2. Bitcoin's Gravity: Bitcoin's massive size makes large multiple gains (like 3x) significantly harder, requiring vast capital injections.
  3. Liquidity is King: Your bet hinges on future macro conditions; high liquidity environments tend to disproportionately benefit riskier, less liquid altcoins.
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April 29, 2025

Bits + Bips Live: Crypto, Macro, Tariffs, Stablecoins, and More

Unchained

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** Market reactions demonstrably curb aggressive tariff policies; expect continued volatility but likely avoidance of worst-case tariff scenarios as Trump needs stable markets.
  2. **Bitcoin Treasury Flywheel Spins Faster:** Expect more MicroStrategy clones globally, leveraging debt and equity markets to acquire Bitcoin. Monitor NAV premiums closely – their collapse is the model's Achilles' heel.
  3. **Bitcoin's Narrative Strengthens:** Bitcoin's recent decoupling and resilience amid macro turmoil bolsters its digital gold thesis, attracting attention even from skeptics, while altcoins struggle to keep pace this cycle.
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April 28, 2025

Bitcoin’s Macro Status, Ethereum’s Cultural Reset, and Solana’s Growth Risk | Jon Charbonneau

0xResearch

Crypto
Key Takeaways:
  1. Bitcoin Stands Alone: Recognized globally, Bitcoin operates in its own macro league, detached from altcoin tech narratives.
  2. Ethereum's Redemption Arc?: A pivot to user needs and L1 scaling is underway, but Ethereum must deliver concrete performance upgrades to compete effectively.
  3. Execution is King: Solana leads the speed race but faces valuation/fee risks. The future favors chains offering the best, most sovereign execution environment, with modular plays like Celestia betting on a hyper-scaled world.
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April 28, 2025

BlackRock's Crypto Strategy In 2025 With Samara Cohen

Empire

Crypto
Key Takeaways:
  1. IBIT's Success Validates the Bridge: The Bitcoin ETP proved massive latent demand exists for accessing crypto via familiar, regulated wrappers, bringing many new investors into the fold.
  2. Tokenization Targets Infrastructure First: Forget tokenizing illiquid JPEGs (for now); the real institutional action is using blockchains to fix inefficient TradFi plumbing, starting with cash and collateral.
  3. Data & Standards are The Next Hurdle: Broader institutional adoption beyond Bitcoin requires solving the crypto data, standards, and valuation puzzle to enable reliable analysis and indexing.
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April 28, 2025

Crypto's Fastest Growing App: Is Pumpfun's Revenue Sustainable?

Lightspeed

Crypto
Key Takeaways:
  1. Revenue Reality Check: Pumpfun's impressive revenue warrants investigation; sustainability is questionable if heavily reliant on bot activity or if it operates like a high-loss "casino" for users.
  2. Platform Duality: Pumpfun serves as both a backend launchpad discovered via external platforms and a direct trading venue, with ~70% of pre-launch volume happening on-site.
  3. High-Risk Environment: The platform operates like a "less fair casino," meaning users should anticipate significant risk and potential for loss.
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