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Deep dives into the conversations shaping the future of AI, Robotics & Crypto.

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AI Podcasts

December 15, 2025

Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The value in software development shifts from manual coding to high-level architectural design and prompt engineering.
  2. Builder/Investor Note: Experiment with AI Studio's agentic and design capabilities. Focus on describing desired functionality rather than low-level code.
  3. The "So What?": The next 6-12 months will see a surge in AI-powered, full-stack applications built by a broader range of creators, disrupting traditional development paradigms.
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December 15, 2025

Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. Intent Over Implementation: The value in software creation shifts from low-level coding to clearly defining intent and design, with AI handling the technical execution.
  2. Rapid Prototyping: Builders can now rapidly prototype and deploy complex, full-stack applications, significantly compressing development cycles and lowering entry barriers.
  3. New Creator Economy: Expect a surge in non-technical creators building sophisticated applications, driving innovation in UI/UX and personalized content.
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December 15, 2025

Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

AI Engineer

AI
Key Takeaways:
  1. Dynamic Evaluation is Non-Negotiable: Static benchmarks are dead. Future AI development demands continuously updated, contamination-resistant evaluation sets.
  2. AI Needs AI to Judge AI: As models grow more sophisticated, LLM-driven "hack detectors" become essential for ensuring code quality and preventing adversarial exploitation of evaluation systems.
  3. User Experience Drives Adoption: For interactive AI coding tools, prioritize low latency and human-centric design; technical prowess alone will not guarantee real-world usage.
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December 15, 2025

Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The future of AI code generation hinges on dynamic, robust evaluation systems that adapt to evolving model capabilities and detect sophisticated exploitation.
  2. Builder/Investor Note: Invest in or build evaluation infrastructure that incorporates dynamic problem sets, LLM-driven hack detection, and granular, human-centric metrics.
  3. The "So What?": Relying on static benchmarks is a losing game. The next 6-12 months will see a push towards more sophisticated, real-world-aligned evaluation methods, separating genuinely capable models from those that merely game the system.
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December 15, 2025

The Renaissance of the American Factory | a16z 2026 Big Ideas

a16z

AI
Key Takeaways:
  1. Strategic Implication: The next wave of industrial growth will come from applying manufacturing principles to large-scale infrastructure, not just consumer goods.
  2. Builder/Investor Note: Focus on companies that are standardizing designs and processes for physical assets, particularly those leveraging AI to navigate regulatory complexity and accelerate deployment.
  3. The "So What?": The rapid build-out of data centers is a live experiment for a broader industrial renaissance, providing a blueprint for how America can rebuild its capacity to build at scale over the next 6-12 months.
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December 15, 2025

The Renaissance of the American Factory | a16z 2026 Big Ideas

a16z

AI
Key Takeaways:
  1. Strategic Shift: The "factory-first" mindset is a strategic reorientation towards physical production, enabled by AI, extending beyond traditional manufacturing to all large-scale infrastructure.
  2. Builder/Investor Note: Focus on companies applying modular design, AI-driven process optimization, and automation to sectors like housing, energy, and mining. Data centers are a leading indicator for these trends.
  3. The "So What?": Rebuilding America's industrial capacity through these methods offers a competitive advantage, impacting defense, consumer goods, and commercial sectors in the next 6-12 months.
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December 15, 2025

Evolving Large Language Model Evaluation: Practices and Insights from the Swallow Project

Weights & Biases

AI
Key Takeaways:
  1. Strategic Implication: The quality and sophistication of LLM evaluation frameworks are now as critical as the models themselves. This is a foundational layer for AI progress.
  2. Builder/Investor Note: Builders must adopt adaptive evaluation. Investors should scrutinize how LLM performance is measured, not just the headline numbers.
  3. The "So What?": As LLMs gain complex reasoning and instruction-following abilities, evaluation frameworks that can accurately measure these capabilities will be essential for identifying true innovation and avoiding misallocated resources in the next 6-12 months.
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December 14, 2025

From Vibe Coding To Vibe Engineering – Kitze, Sizzy

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: The industry is moving from code generation to code orchestration. The value lies in guiding AI, not just prompting it.
  2. Builder/Investor Note: Invest in tools that enhance "vibe engineering" (real-time steering, context management) and education for senior developers. Avoid strategies that solely rely on AI to replace junior talent without skilled oversight.
  3. The "So What?": Over the next 6-12 months, the ability to effectively "vibe engineer" will become a critical differentiator, separating high-performing teams from those drowning in AI-generated "slop."
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December 13, 2025

The Mathematical Foundations of Intelligence [Professor Yi Ma]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Strategic Implication: The next frontier in AI involves a fundamental shift from statistical compression to genuine abstraction and understanding.
  2. Builder/Investor Note: Focus on research and development that grounds AI in first principles, leading to more robust, efficient, and interpretable systems, rather than solely scaling existing empirical architectures.
  3. The "So What?": The pursuit of mathematically derived, parsimonious, and self-consistent AI architectures offers a path to overcome current limitations, enabling systems that truly learn, adapt, and reason in the next 6-12 months and beyond.
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Crypto Podcasts

September 17, 2025

FinTech Meets Crypto: The Future of Global Payments

Bankless

Crypto
Key Takeaways:
  1. **Stablecoins Are Rebranding Crypto.** The FinTech industry is adopting stablecoin technology not as a niche crypto asset, but as the foundational layer for "FinTech 3.0," poised to overhaul global payments.
  2. **The EVM Is The New COBOL.** Specialized payments chains are standardizing the EVM as the backend for modern finance, creating high-throughput, compliant on-ramps that will bring trillions in TradFi volume on-chain.
  3. **Payments Are Just The Beginning.** Once the world rebuilds its payments infrastructure on stablecoins, the floodgates will open for the complete tokenization of all financial assets, forever blurring the line between crypto and finance.
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September 16, 2025

Collector Crypt: Onchain Capital Markets On Solana | Tuomas Holmberg

Lightspeed

Crypto
Key Takeaways:
  1. Onchain Rails Create New Economies. By digitizing physical assets on high-performance chains like Solana, you eliminate friction around custody, settlement, and global access, unlocking novel business models like the Gotcha Machine.
  2. Real-World Logistics Are the Ultimate Moat. While anyone can build a smart contract, Collector Crypt’s defensibility comes from its physical supply chain—dealer relationships and automated acquisition tools that secure inventory below market price.
  3. Novel Oracles Unlock the Next Wave of DeFi. The future of onchain finance depends on reliably pricing illiquid, real-world assets. Developing proprietary oracles, like Collector Crypt’s, is the first step to building DeFi for everything.
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September 15, 2025

Is It Time to Rotate Out of Crypto?

1000x Podcast

Crypto
Key Takeaways:
  1. **De-Risk Your Alts.** Crypto is showing significant weakness by failing to rally with equities. Ethereum's lower high is a major red flag for the altcoin market; it's time to reduce leverage and concentrate into Bitcoin or cash.
  2. **Hunt for Value in TradFi.** Traditional markets are offering powerful narrative-driven plays with crypto-like upside. Focus on assets like Tesla (robotics), Robinhood (gambling culture), and commodities like uranium (energy independence).
  3. **Fade the ETF Narrative.** The institutional "sugar high" from ETFs is wearing off as the front-running trade becomes crowded and inflows wane. The market needs a new, more durable catalyst to move higher.
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September 15, 2025

Bittensor TAO :: Community Q+A :: Sub-Subnets, Deregistration, Yuma Consensus + more

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways
  1. Subnets are becoming more complex. The introduction of sub-subnets will allow for more sophisticated, multi-faceted incentive mechanisms within a single subnet, effectively turning them into "mixtures of experts."
  2. Performance is now paramount. Subnet deregistration creates a "perform or perish" dynamic. Underperforming subnets risk being automatically removed, with their assets returned to token holders as TAO.
  3. Decentralization is on the horizon. The shift to Proof-of-Stake and a formal on-chain governance structure are actively being developed, marking a deliberate move toward placing control in the hands of the community.
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September 15, 2025

How to Invest in The Debasement Era

Bankless

Crypto
Key Takeaways:
  1. Recessions Are Canceled, Inflation Is Not: Perpetual government stimulus will prevent deep downturns, but it locks in higher inflation. Plan for a ~3% floor and a market that swings between boom and stagflation.
  2. The US Super Cycle Is Over: After a historic 15-year run, US market dominance has peaked. The next decade’s alpha will be found in undervalued international markets benefiting from a weakening dollar.
  3. Build a Debasement-Proof Portfolio: Ditch long-duration bonds. Hold cash for opportunity, stay invested in global equities, and overweight hard assets like gold and crypto to preserve purchasing power.
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September 14, 2025

Can Prediction Markets Outpace Securities Trading? With Farrokh and Carlos Domingo

The Rollup

Crypto
Key Takeaways:
  1. **Prediction markets are not a niche crypto game; they are a multi-trillion dollar industry gunning for the securities market** by financializing the world's most valuable asset: information.
  2. **True tokenization will be won on open, permissionless blockchains** that enable new market structures, not closed systems offering mere efficiency gains. Institutions like BlackRock are already betting on this "open internet" thesis.
  3. **Creator tokens are a flawed model with a built-in expiration date tied to relevance.** The smarter trade is to own the casino (the platform's token), not the individual player's chips.
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