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

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AI Podcasts

December 18, 2025

How to build an AI native company (even if your company is 50 years old) – Dan Shipper, Every

AI Engineer

AI
Key Takeaways:
  1. The 100% AI adoption threshold is a step-function change, not incremental. Companies that commit fully will outpace those with partial integration.
  2. Builders should prioritize "compounding engineering" by codifying knowledge into reusable prompts. This builds an organizational memory that accelerates future development exponentially.
  3. Re-evaluate team structures and roles. Single engineers can own complex products, and even technical managers can contribute code, shifting how organizations operate.
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December 18, 2025

AI Consulting in Practice – NLW, Super ai

AI Engineer

AI
Key Takeaways:
  1. The Agent Economy is Here: Enterprises are moving past pilots with AI agents. Builders should focus on orchestration layers and human-agent interaction design.
  2. ROI Measurement is the Next Frontier: Investors should look for solutions that help organizations accurately track and attribute AI value beyond traditional metrics.
  3. Strategic AI, Not Spot Solutions: The biggest wins come from systematic, cross-organizational AI strategies that target new capabilities and revenue growth, not just incremental time savings.
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December 18, 2025

The EU and the not-so-simple macroeconomics of AI – Luis Garicano

Epoch AI

AI
Key Takeaways:
  1. Strategic Implication: The global AI race is a zero-sum game for foundational models. Europe's best strategy is a "smart second mover" approach, focusing on the implementation layer by ensuring interoperability and data portability.
  2. Builder/Investor Note: Invest in AI that achieves true autonomy and enhances expert productivity. Be wary of markets stifled by over-regulation, which can impede AI adoption and growth.
  3. The "So What?": Europe faces a critical juncture. Without embracing AI-driven growth, its demographic and debt problems will worsen, leading to higher interest rates without the corresponding economic expansion.
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December 18, 2025

Two Futures | Runtime 2025

a16z

AI
Key Takeaways:
  1. Strategic Implication: The next decade will be defined by who builds the core infrastructure for intelligence. This is where the most significant value and influence will accrue.
  2. Builder/Investor Note: Direct capital and talent towards foundational AI components—chips, models, and interoperable systems. Avoid the temptation to only build at the application layer.
  3. The So What?: The window for shaping the future of intelligence is now. Engage in the deepest, most complex challenges to secure a footprint in this new era.
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December 18, 2025

Two Futures | Runtime 2025

a16z

AI
Key Takeaways:
  1. Strategic Implication: The next decade's value will accrue to those building foundational AI infrastructure and the "invisible layers" that connect intelligent systems.
  2. Builder/Investor Note: Focus capital and talent on core AI models, specialized domain intelligence, and the underlying computational fabric. Superficial applications risk rapid commoditization.
  3. The So What?: This is the defining period for the architecture of global intelligence. Participation now determines future influence and relevance.
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December 17, 2025

Rethinking Pre-Training for Agentic AI [Aakanksha Chowdhery] - 759

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Strategic Implication: The next frontier in AI is agentic, and progress hinges on fundamental pre-training innovation, not just post-training optimizations.
  2. Builder/Investor Note: Focus on teams with deep experience in scaling and debugging large models, as this is a high-capital, high-risk endeavor. Builders should prioritize developing new benchmarks for agentic capabilities.
  3. The "So What?": The industry needs to move beyond next-token prediction and static benchmarks to unlock truly capable, self-correcting AI agents in the next 6-12 months.
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December 17, 2025

Rethinking Pre-Training for Agentic AI [Aakanksha Chowdhery] - 759

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Pre-Training is the New Frontier: The next leap in AI capabilities, particularly for agentic systems, will come from fundamental advancements in pre-training, not just post-training tweaks.
  2. Builders & Investors: Focus on teams rethinking loss objectives, curating high-quality reasoning data, and developing dynamic benchmarks for agentic capabilities. Be wary of "agentic" claims that lack foundational pre-training innovation.
  3. The "So What?": Over the next 6-12 months, expect a push for new benchmarks and data strategies that explicitly train models for multi-step planning, long-form reasoning, and error recovery, moving beyond simple next-token prediction.
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December 17, 2025

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

AI Engineer

AI
Key Takeaways:
  1. Shift in AI Development: The focus moves from syntax-aware code generation to execution-aware reasoning, enabling more robust and intelligent code agents.
  2. Builder/Investor Note: Prioritize tools and platforms that support explicit execution modeling and highly asynchronous, high-throughput RL training for agentic systems.
  3. The "So What?": AI that can simulate complex systems internally will drastically reduce development and testing costs, accelerating innovation in software and distributed systems over the next 6-12 months.
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December 17, 2025

AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: AI-driven kernel generation is not replacing human genius but augmenting it, allowing experts to focus on novel breakthroughs while AI automates the application of known optimizations across a complex hardware landscape.
  2. Builder/Investor Note: Focus on robust validation and hardware-in-the-loop systems. Claims of "AI inventing new algorithms" in this domain are premature. The real value is in automating the "bag of tricks" for heterogeneous compute.
  3. The "So What?": This technology is critical for scaling agentic AI workloads. Expect significant investment in tools that abstract hardware complexity and enable efficient, automated optimization, driving down the cost of AI inference in the next 6-12 months.
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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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