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AI Podcasts

September 19, 2025

Bittensor Novelty Search :: SN123 MANTIS :: The Ultimate Signal Machine

The Opentensor Foundation | Bittensor TAO

AI
Key Takeaways:
  1. Incentives Dictate Intelligence. Mantis's breakthrough is its reward function. By precisely measuring a miner's marginal contribution, it makes unique alpha the only profitable strategy and naturally defends against Sybil attacks.
  2. The Ensemble is the Alpha. The network’s power lies not in finding one genius quant, but in combining many good-enough signals into one great one. The collective intelligence is designed to be far more valuable than any individual participant.
  3. The Future is Verifiable, On-Chain Alpha. Mantis plans to monetize by auctioning its predictive signals, creating a transparent marketplace for intelligence and proving that a decentralized network can produce a product valuable enough to compete with Wall Street's top firms.
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September 17, 2025

The Death of Search: How Shopping Will Work In The Age of AI

a16z

AI
Key Takeaways:
  1. Google's "Tax on GDP" Is Under Threat. AI is eroding the informational searches that feed Google's funnel and will eventually intercept high-intent commercial queries, redirecting economic power to new agentic platforms.
  2. The Future of Shopping Is Agentic, Not Search-Based. Consumers will delegate research and purchasing to specialized AI agents that optimize every variable, from product choice to payment method, fundamentally changing how brands acquire customers.
  3. Trust Is the Ultimate Moat. In a world of automated "crap," business models built on human trust and strict curation, like Costco's, become exceptionally defensible.
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September 15, 2025

Faster Science, Better Drugs

a16z

AI
Key Takeaways:
  1. AI's next frontier isn't just language; it's simulating life. The "virtual cell"—a model that predicts how to change a cell's state—is the industry's next "AlphaFold moment," aiming to compress drug discovery from years of lab work into forward passes of a neural network.
  2. Biology's core bottleneck is physical, not digital. Unlike pure software, progress is gated by the "lab-in-the-loop" reality: every AI prediction must be validated by slow, expensive physical experiments. Solving this requires new platforms that can scale the generation of high-quality biological data.
  3. The biotech business model needs a new playbook. With a 90% clinical trial failure rate, the economics are broken. The future belongs to companies that either A) use AI to drastically improve the hit rate of drug targets or B) tackle massive markets like obesity, where GLP-1s proved the prize is worth the squeeze.
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September 11, 2025

Inside OpenAI Enterprise: Forward Deployed Engineering, GPT-5, and More | BG2 Guest Interview

Bg2 Pod

AI
Key Takeaways:
  1. Enterprise AI is a Services Business. The best models are not enough. Success requires deep integration via "Forward Deployed Engineers" who build the necessary data scaffolding and orchestration layers.
  2. GPT-5 Was Co-developed with Customers. Its focus on "craft" (behavior, tone) over raw benchmarks was a direct result of an intensive feedback loop with enterprise partners, making it more practical for real-world use.
  3. Bet on Applications, Not Tooling. The speakers are short the entire category of AI tooling (frameworks, vector DBs), arguing the underlying tech stack is evolving too rapidly. Long-term value will accrue to those building applications in high-impact sectors like healthcare.
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September 10, 2025

Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

Machine Learning Street Talk

AI
Key Takeaways:
  1. Intelligence Has a Size Limit: Forget galaxy-spanning superintelligences. The physics of self-organizing systems suggest intelligence thrives at a specific scale, unable to exist when systems become too large or too small.
  2. True Agency is Self-Inference: The crucial leap to higher intelligence is not just modeling the world, but modeling yourself as a cause within it. This recursive "strange loop" is the foundation of planning and agentic behavior.
  3. Hardware is the Software: Consciousness is not an algorithm you can run on any machine. It likely requires a specific physical substrate where memory and processing are unified, making the body and brain inseparable from the mind.
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September 10, 2025

Chris Dixon on How to Build Networks, Movements, and AI-Native Products

a16z

AI
Key Takeaways:
  1. **Ride the Wave, Don't Fight It.** Exponential forces like Moore's Law and network effects will overwhelm any product tactic. Your first job is to identify the fundamental technological or social current you're riding.
  2. **Build a Tool, Then a Network.** Defensibility in consumer tech often comes from network effects, but you can’t start there. Solve a user’s problem in single-player mode first to build the critical mass needed for an unbeatable network.
  3. **Explore the Fringe.** The future is being prototyped in niche subreddits and hobbyist communities. To find the next big thing, look for small groups of hyper-enthusiastic people working on things that seem like toys today.
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September 9, 2025

Mark Cuban on the NBA, Cost Plus Drugs, and How to Fix Politics

a16z

AI
Key Takeaways:
  1. Find the "Death War." Cuban's biggest wins come from identifying industries where competitors are forced to spend billions to survive (like AI today or streaming media rights a decade ago). These moments create massive opportunities for suppliers and disruptors.
  2. Sell a Better Life, Not an Ideology. Whether in politics or business, success comes from solving people’s immediate, tangible problems. Abstract goals and ideological purity don't sell.
  3. The Real Moat is Domain Expertise + AI. The next generation of billion-dollar companies will be built by founders who can apply AI to specific, overlooked business processes, creating hyper-efficient, customized SaaS solutions.
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September 8, 2025

The Little Tech Agenda for AI

a16z

AI
Key Takeaways:
  1. Stop Regulating Ghosts. Policy should target concrete, illegal uses of AI under existing laws, not hypothetical future harms that require licensing regimes and kill startups before they can compete.
  2. Compliance is a Competitive Moat. Regulations designed for trillion-dollar companies are a death sentence for startups. A 50-state patchwork of rules would be the final nail in the coffin for a competitive AI ecosystem.
  3. Innovation Needs a Political War Chest. The pro-innovation camp has been outmaneuvered by well-organized "safetyism" advocates. Building political gravity through organized efforts like PACs is now essential to ensure America wins the AI race.
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September 5, 2025

Shakeel Hussein: Ridges Subnet 62, AI Agents Coding, Alpha to Equity, Future of Software | Ep. 61

Ventura Labs

AI
Key Takeaways:
  1. **The Agent is the Moat.** Ridges’ success with cheaper models demonstrates that the true differentiator in AI coding is the agent architecture, not just the underlying LLM. This focus on efficiency creates a sustainable business model where competitors burn cash.
  2. **Alpha-to-Equity Creates a Capital Bridge.** This model directly ties the token's value to profit-sharing equity, creating an arbitrage loop for crypto and traditional funds. It offers a powerful alternative to typical tokenomics by capturing the value of the underlying business.
  3. **The Future of Software is Supervisory.** The ultimate goal is not just a better coding autocomplete, but a tool that elevates developers and product managers to supervisors of AI engineering teams, fundamentally changing how software is created.
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Crypto Podcasts

August 18, 2025

One More Push Higher Before the Crash?

1000x Podcast

Crypto
Key Takeaways:
  1. The ETH Rally is an Illusion. Price action is dictated by treasury company flows, not fundamentals. Monitor their stock premium/discount to NAV as a leading indicator for the market top.
  2. Prepare for a "Stupid" Finale. The market is primed for one last FOMO-driven blow-off top. This is the signal to sell into strength, not add risk.
  3. Set Up the Next Home Run. The inevitable crash of treasury company stocks will present a massive opportunity. Prepare to buy these assets at deep discounts (30%+) to NAV when the market panics.
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August 18, 2025

What Liquid Funds Are Buying

Empire

Crypto
Key Takeaways:
  1. Concentrated Bets on Fundamentals Win. The era of "spray and pray" is over. The new meta is building highly concentrated portfolios (10-15 tokens) based on deep fundamental analysis of protocols with clear revenue models and product-market fit.
  2. Digital Asset Treasuries Are TradFi's On-Ramp. DATs are more than a short-term trade; they are the primary bridge for institutional capital to gain crypto exposure. Their marketing power is proving to be as crucial as their financial engineering.
  3. The 24/7 Market Is Coming. The tokenization of equities isn't a matter of *if* but *when*. This shift will create a fiduciary obligation for funds to move to on-chain assets, forcing a rapid, systemic evolution of financial markets.
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August 16, 2025

Why DATs Beyond BTC And ETH Are Risky

Empire

Crypto
Key Takeaways:
  1. **Concentrate on the Winners:** Bitcoin is the established store-of-value asset, and Ethereum is the dominant settlement layer for high-value digital assets. The data shows they have already won their respective categories.
  2. **The Rest is a Long Tail of Risk:** Investing outside of Bitcoin and Ethereum is a bet against powerful, gravity-like market forces. These alternatives are competing for a sliver of the market, increasing their risk of becoming obsolete.
  3. **Power Law is the Rule:** The market isn't about finding the "next" Ethereum; it's about recognizing that power laws are creating a duopoly where the vast majority of value will continue to accrue to the top two assets.
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August 16, 2025

Can ETH Keep Pumping Or Is It All Over?!

Steady Lads Podcast

Crypto
Key Takeaways:
  1. The New Game is Financial Engineering. The market's primary driver is the "Digital Asset Treasury" meta. Bitcoin leverages its "pristine collateral" narrative for debt financing, while Ethereum leverages native yield to justify its premium.
  2. Don't Expect a 2021 Redux. The institutional capital fueling this rally is not here to bid on your favorite altcoin. Their focus is on BTC, ETH, and treasury-related arbitrage, making a widespread, retail-driven altcoin season unlikely.
  3. De-Risk and Secure Profits. After a 3x run, seasoned traders are taking profits on ETH. The consensus is to refuse to round-trip your gains, pay down on-chain debt, and shift to scalping volatility rather than betting on a continued parabolic advance.
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August 15, 2025

The Best of Bell Curve

Bell Curve

Crypto
Key Takeaways:
  1. **Execution Guarantees Trump EVM Compatibility:** For complex financial products like derivatives, the ability to mathematically prove solvency outweighs the benefits of EVM compatibility, driving the rise of purpose-built L1s.
  2. **Memecoins Are a Macro Indicator:** Don't dismiss memecoins as a distraction. They are a direct, high-beta response to monetary debasement, signaling retail's desperation for returns in a broken financial system.
  3. **The Consumer War Is On:** While Ethereum solidifies its hold on institutional finance, the battle for consumer attention is just beginning. The success of its coordinated L2 strategy will determine if it can reclaim the narrative from chains like Solana.
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August 15, 2025

The Ether Machine Chairman: Real Risk of DATs, Who Wins From Stripe & Circle’s Chains | Roundup

Empire

Crypto
Key Takeaways:
  1. Structure Over Speed: In the DAT gold rush, avoid the shells. Reverse takeovers are fraught with hidden liabilities; cleaner de-novo SPACs are built for long-term institutional trust and better financing.
  2. Stick to the Winners: The DAT market will consolidate. Bet on pure-play vehicles for top-tier, liquid assets like ETH, as "Frankenstein" and illiquid-token DATs are destined for M&A or failure.
  3. Distribution is Destiny: In the payments war, Stripe’s direct ownership of millions of merchants gives it a crushing advantage over Circle’s middleware approach. Owning the customer is the only moat that matters.
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