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AI Podcasts

October 31, 2025

The Fed's Hawkish Cut & The Financial Hunger Games | Weekly Roundup

Forward Guidance

AI
Key Takeaways:
  1. **The Fed Is Trapped:** Powell is trying to project strength, but the underlying trend is toward more liquidity. The pivot to buying T-bills is a form of stealth QE designed to keep the system functioning.
  2. **Markets Are A Rigged Game:** Forget fundamentals. Public markets are now a positioning game defined by extreme concentration in Big Tech and speculative retail frenzies, widening the gap between Wall Street and Main Street.
  3. **The AI Boom Is A Double-Edged Sword:** While driving incredible earnings, the AI buildout is transforming Big Tech into a riskier, debt-fueled, capex-heavy industry, making the entire economy dangerously dependent on a handful of stocks.
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October 30, 2025

"Is there an AI bubble?” Gavin Baker and David George

a16z

AI
Key Takeaways:
  1. **It's Not a Bubble, It's a Race.** The AI buildout is a rational, ROI-positive arms race funded by cash-rich giants. Unlike the dot-com era’s "dark fiber," today’s GPUs are fully utilized, generating immediate returns.
  2. **Sacrifice Margins or Die.** SaaS companies must abandon their obsession with 90% gross margins. In the AI era, lower margins signal that customers are actually using your product. Embrace them or become irrelevant.
  3. **The New Outcome Economy is Coming.** Business models will pivot from subscriptions to outcomes. AI will enable services to be priced on measurable results, from resolving a customer support ticket to booking the perfect vacation, squeezing inefficiency out of the market.
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October 29, 2025

Building the Real-World Infrastructure for AI, with Google, Cisco & a16z

a16z

AI
Key Takeaways:
  1. The Physical World is AI's Final Boss: The speed of AI progress is now governed by the speed of transformers, permits, and power plants. The biggest opportunities are in solving these hard, physical-world bottlenecks.
  2. Specialization is the Only Game in Town: General-purpose is dead. Lasting value will be created through specialized hardware, co-designed software, and tightly integrated systems that optimize for performance-per-watt.
  3. Founders, Ditch the Thin Wrappers: The most durable businesses will not be built on other companies' models. Instead, they will create deep, proprietary feedback loops where the product and the model improve each other.
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October 29, 2025

AI Agents, JPM Capitulates, Stablecoin Wars and the Fed Innovation: Bits + Bips

Unchained

AI
Key Takeaways:
  1. **AI is the Fed’s New Obsession.** The Fed's rate-cutting strategy is not just about inflation; it's a proactive measure against the "once in a generation" disruption AI poses to the white-collar labor market.
  2. **Stablecoins are a Geopolitical Tool.** The global race to issue stablecoins is on, but the US is inadvertently winning. The more the world tokenizes, the more demand there is for US Treasuries, cementing the dollar's dominance.
  3. **The Post-Retail Economy is Here.** The next major user demographic is not human—it's AI agents. These autonomous agents will conduct a massive volume of micropayments, creating an entirely new economic layer built on crypto rails.
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October 29, 2025

Bittensor Brief #13: Autoppia Subnet 36

Hash Rate pod - Bittensor $TAO & Subnets

AI
Key Takeaways:
  1. Train Hard, Fight Easy. Autoppia’s "Infinite Web Arena" is a novel approach to AI training, forcing agents to become robust and adaptable by continuously exposing them to digital chaos.
  2. Competition Breeds Excellence. The winner-take-all incentive model creates a hyper-competitive environment designed to accelerate innovation and rapidly advance the capabilities of AI agents on the network.
  3. Revenue Equals Buybacks. Autoppia’s business model creates a direct link between commercial success and token value. Every dollar earned from selling AI worker services directly translates into buying pressure for the subnet token.
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October 28, 2025

Google DeepMind Developers: How Nano Banana Was Made

a16z

AI
Key Takeaways:
  1. Personalization is the Killer App. The model’s breakthrough feature was zero-shot character consistency, creating an emotional connection that drove viral adoption. It proves utility is unlocked when technology feels personal.
  2. Focus on the Floor, Not the Ceiling. The next wave of value will come from improving the worst-case outputs, not just the best. This "lemon picking" is essential for building trust and enabling reliable, real-world applications beyond creative tinkering.
  3. Art is Intent; Models are Tools. AI’s role is to automate tedium, not replace creativity. The most compelling work will continue to come from skilled artists who use models to execute a specific vision, proving that the human with the idea remains irreplaceable.
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October 27, 2025

AI can learn logic. But can it learn folklore knowledge? - Svetlana Jitomirskaya

Epoch AI

AI
Key Takeaways:
  1. AI's Blind Spot is Unwritten Knowledge. The biggest barrier for AI in advanced problem-solving is accessing the "folklore" knowledge and intuition that experts build over a career but never write down.
  2. The Future of Math is a Promotion, Not Obsolescence. AI will act as a powerful assistant that handles rote tasks, pushing mathematicians to focus exclusively on creative and abstract thinking.
  3. The Next Revolution is AI-Powered Verification. Automated formal proof systems like Lean have the potential to eliminate errors from research papers, transforming peer review from a check on correctness to a judgment on a paper's novelty and impact.
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October 27, 2025

AI can learn logic. But can it learn folklore knowledge? - Svetlana Jitomirskaya

Epoch AI

AI
Key Takeaways:
  1. AI's Blind Spot is "Folklore": The next great challenge for AI isn't raw calculation, but acquiring the unwritten, intuitive "folklore knowledge" that separates experts from students.
  2. Mathematicians Become Creative Directors: As AI handles the technical grind, the human role in mathematics will shift from execution to creative direction—formulating novel problems and abstract models.
  3. The End of Errors: Formal verification tools like Lean, powered by AI translators, are on the verge of revolutionizing math by creating a fully verifiable, error-free database of human knowledge, changing how proofs are published and reviewed.
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October 28, 2025

The Best AI Agents are Competing for Rank (and Profit) | Andrew Hill, Recall CEO

The DCo Podcast

AI
Key Takeaways:
  1. AI Needs a Referee. Agents are programmed to win, not necessarily to follow the rules. Their tendency to "game the system" makes external, on-chain verification protocols essential for alignment and trust.
  2. Trading is Just the Tip of the Spear. Crypto trading is the perfect initial use case due to its clear, objective metrics. The real goal is a decentralized "skill marketplace" where any organization can fund a competition to find the best agent for any task.
  3. The Platform War is Here. A battle is unfolding between closed ecosystems like OpenAI, which aim for platform lock-in, and an open, decentralized future. This creates a massive opportunity for neutral evaluation layers to become the definitive source of truth for AI performance.
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Crypto Podcasts

April 21, 2025

Does Crypto Have Product Market Fit? | Matty Taylor

Lightspeed

Crypto
Key Takeaways:
  1. PMF is the Real Boss: Forget the regulatory FUD; crypto's primary challenge now is the age-old startup struggle – building things people actually need and use.
  2. Solana's Pragmatic Pull: The ecosystem's intense focus on PMF over ideological purity is attracting founders eager to build real markets and applications.
  3. Show Me the Revenue (or Sticky Users): True PMF often translates to tangible results like revenue (Pump.fun, Jito) or deeply embedded usage (Bitcoin, potentially Aave), separating signal from noise.
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April 19, 2025

Crypto's Data & Transparency Problem | Roundup Clip

Bell Curve

Crypto
Key Takeaways:
  1. **Trust, But Verify Rigorously:** Assume data discrepancies exist; stated figures and dashboard metrics demand independent on-chain verification.
  2. **Standardize or Suffer:** The lack of "Crypto GAAP" hinders meaningful comparison and valuation; clear definitions and reporting cadence are essential.
  3. **Make On-Chain Data Truly Accessible:** Transparency requires more than just public ledgers; it needs standardized, verifiable, and easily accessible reporting directly from protocols.
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April 19, 2025

Why banks will be disrupted by stablecoins with Rob Hadick #crypto #markets #stablecoins #podcast

Bankless

Crypto
Key Takeaways:
  1. Stablecoins exploit bank inefficiency: They offer a direct route to bypass ~10% cross-border banking fees, meeting real demand.
  2. Dollar desire drives adoption: In high-inflation countries, stablecoins provide crucial access to the US dollar and dollar-priced goods.
  3. Currency consolidation favors majors: Geopolitical shifts may shrink the currency landscape, potentially strengthening the role of major currencies and their stablecoin counterparts (USD, EUR, RMB).
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April 18, 2025

Trade War & The Markets | EP 74

Good Game Podcast

Crypto
Key Takeaways:
  1. Brace for Trade War Impact: The economic fallout from tariffs and uncertainty is likely underestimated and poses significant downside risk to US equities and global growth.
  2. Demand Crypto Transparency: The lack of clear disclosure rules around token holdings and sales remains a critical vulnerability; solutions are needed, potentially driven by major exchanges or self-regulatory efforts.
  3. AI Value Shifts to Apps: Foundational models risk commoditization; long-term defensibility for AI startups hinges on building strong distribution and network effects on the application layer, potentially by remaining model-agnostic.
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April 18, 2025

Beyond the Hype: Crypto’s Next Phase | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. **Market Bifurcation:** Expect continued divergence – select assets might surge on squeezed supply, but most face headwinds without new buyers. Stay nimble.
  2. **Efficiency is King:** Capital is scarcer. Projects must prove lean operations and clear value accrual compared to TradFi alternatives to win funding.
  3. **Transparency Unlocks Capital:** Don't wait for regulation. Proactive, standardized disclosure of financials, token flows, and operations will attract sophisticated investors and build desperately needed trust.
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April 18, 2025

Beyond the Hype: Crypto’s Next Chapter | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Efficiency is King: Protocols proving lean operations and clear value capture relative to TradTech will win scarce venture dollars.
  2. Disclose to Win: Transparency isn't optional; protocols providing clear, standardized data and disclosures will attract serious capital.
  3. Stablecoins Aren't Monolithic: Understand the nuances – payment vs. yield, US vs. global demand, issuer vs. infrastructure vs. enabled business – to capitalize on their growth.
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