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AI Podcasts

August 21, 2025

Can AI Fix Housing and Healthcare Affordability?

a16z

AI
Key Takeaways:
  1. AI is the deflationary force for stagnant sectors. While software ate the world, it skipped housing and healthcare. AI is finally tackling the operational drag that has caused costs to balloon for decades.
  2. To solve the housing crisis, make it profitable. The path to more housing supply runs through better returns. By making property operations radically more efficient, AI attracts the capital required to build.
  3. The future of work is human + AI. Automation won't eliminate jobs; it will transform them. As AI handles the administrative grind, human roles will shift to higher-value work like community engagement and complex problem-solving.
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August 19, 2025

Hash Rate - Ep 129 - Macrocosmos IOTA (sn9) and DataUniverse (sn13)

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

AI
Key Takeaways:
  1. DTO Means Business: Dynamic TAO has forced a Darwinian shift. Subnets must now achieve product-market fit and generate real revenue to survive, transforming from research projects into self-sustaining businesses.
  2. IOTA’s Grand Ambition: IOTA (SN9) isn't just another model trainer; its architecture aims to train trillion-parameter models on decentralized, consumer-grade hardware, directly challenging the dominance of centralized AI labs.
  3. Time to Garden: The protocol's long-term health hinges on active governance. A strong sentiment is emerging to prune low-effort or malicious subnets to focus emissions on projects capable of creating real, lasting value.
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August 19, 2025

Hash Rate - Ep 128 - Ridges ($TAO Subnet 62)

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

AI
Key Takeaways:
  1. AI Is Moving from Copilot to Pilot. Ridges is betting that the future isn't AI assisting humans, but AI replacing them for specific tasks. Their goal is to make hiring a software engineer as simple as subscribing to a service.
  2. Decentralized Economics Are a Moat. By leveraging Bittensor's incentive layer, Ridges outsources a $15M/year R&D budget to a global pool of competing developers, achieving a cost structure and innovation velocity that centralized players cannot match.
  3. The Breakout Subnet Is Coming. Ridges showcases how a Bittensor subnet can solve real-world business problems—privacy, cost, and quality degradation—to build a product that is not just cheaper, but fundamentally better than its centralized counterparts.
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August 18, 2025

Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization

a16z

AI
Key Takeaways:
  1. From Performance to Profit: The AI industry is pivoting from a war of benchmarks to a game of unit economics. Features like GPT-5’s router signal that cost management and monetization are now as important as model capabilities.
  2. Hardware is a Supply Chain Game: Nvidia’s true moat is its end-to-end control of the supply chain. Competitors aren't just fighting a chip architecture; they're fighting a logistical behemoth that consistently out-executes on everything from memory procurement to time-to-market.
  3. The Grid is the Limit: The biggest check on AI’s expansion is the physical world. The speed at which new power infrastructure and data centers can be built will dictate the pace of AI deployment in the US, creating a major advantage for those who can build faster.
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August 18, 2025

Subnet 56 :: Gradients :: Bittensor End-to-end AI Model Training Suite

Opentensor Foundation

AI
Key Takeaways:
  1. Performance is Proven, Not Promised. Gradients isn't just making claims; it’s delivering benchmark-crushing results, consistently outperforming centralized incumbents and producing state-of-the-art models.
  2. Open Source Unlocks the Enterprise. The shift to verifiable, open-source training scripts is a direct solution to customer data privacy concerns, turning a critical vulnerability into a competitive advantage.
  3. The AutoML Flywheel is Spinning. The network's competitive, tournament-style mechanism creates a self-optimizing system that continuously aggregates the best training techniques, ensuring it remains at the cutting edge.
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August 16, 2025

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

a16z

AI
Key Takeaways:
  1. **World Models Are a New Modality.** Genie 3 is not just better video; it's an interactive environment generator. This divergence from passive, cinematic models like Veo signals a new frontier focused on agency and simulation, creating a distinct discipline within generative AI.
  2. **Simulation Is the Key to Embodied AI.** The biggest hurdle for robotics is the lack of realistic training environments. Genie 3 tackles this "sim-to-real" gap head-on, providing a scalable way to train agents on infinite experiences before they ever touch physical hardware.
  3. **Emergent Properties Will Drive the Future.** Key features like spatial memory and nuanced physics weren't explicitly coded but emerged from scaling. The next breakthroughs in world models will come from discovering these unexpected capabilities, not just refining existing ones.
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August 15, 2025

Greg Brockman on OpenAI's Road to AGI

Latent Space

AI
Key Takeaways:
  1. AGI is a Compute Game. The primary bottleneck is compute. The process is one of "crystallizing" energy into compute, then into the potential energy of a trained model. More compute means more intelligence.
  2. The Future is a "Manager of Models." AGI won't be a single entity. It will be an orchestrator that delegates tasks to a fleet of specialized models, from fast local agents to powerful cloud reasoners.
  3. Build for Your AI Coworker. To maximize leverage, structure codebases for AI. This means self-contained modules, robust unit tests, and clear documentation—treating the AI as a team member, not just a tool.
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August 15, 2025

Novelty Search August 14, 2025

taostats

AI
Key Takeaways:
  1. Performance is a Solved Problem. For post-training tasks, Gradients has established itself as the best in the world. Developers should stop writing custom training loops and leverage the platform to achieve superior results faster and cheaper.
  2. Open Source Unlocks Trust and Revenue. The pivot to open source directly addresses the biggest enterprise adoption hurdle—data privacy. This move positions Gradients to capture significant market share and drive real revenue to the subnet.
  3. The Bittensor Flywheel is Real. Gradients didn't just beat a major AI lab; its incentive mechanism ensures it will continue to improve at a pace traditional companies cannot match. Miners who don’t innovate are automatically replaced, creating a relentless drive toward optimization.
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August 15, 2025

Subnet 56 :: Gradients :: Bittensor End-to-end AI Model Training Suite

Opentensor Foundation

AI
Key Takeaways:
  1. **Training is a Solved Problem.** For users and developers, the message is clear: stop building custom training loops. Gradients offers superior performance out-of-the-box, turning the complex art of model training into a simple API call.
  2. **Open Source is the Ultimate Competitive Moat.** By making top training scripts public, Gradients accelerates its own innovation flywheel, creating a continuously compounding advantage that closed-source competitors cannot replicate.
  3. **The Best 8B Model is Now from Bittensor.** Gradients has moved beyond theoretical benchmarks to produce a state-of-the-art model that beats a leading industry player. This is a powerful proof-of-concept for the entire Bittensor ecosystem.
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Crypto Podcasts

March 7, 2025

Amanda Cassatt on Crypto’s Branding Problem, Scaling Serotonin, and Yapping

The Rollup

Crypto

Key Takeaways:

  • 1. Crypto projects must prioritize genuine market needs and avoid hype-driven strategies to achieve long-term success.
  • 2. Empowering senior leaders and fostering a culture of trust and delegation are crucial for scaling a marketing firm like Serotonin.
  • 3. Token launches should focus on engaging committed holders and navigating the evolving regulatory landscape to ensure sustainability.
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March 6, 2025

Beyond Bitcoin: What Tokens Should Be in the U.S. Crypto Reserve?

Unchained

Crypto

Key Takeaways:

  • 1. Bitcoin and Ethereum are prime candidates for a U.S. crypto reserve due to their size and decentralization.
  • 2. The U.S. must address regulatory clarity to retain and attract top crypto talent.
  • 3. Prioritizing U.S.-made crypto assets can bolster domestic innovation and maintain technological leadership.
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March 5, 2025

Bits + Bips: Why a US Strategic Crypto Reserve Doesn’t Even Make Sense

Unchained

Crypto

Key Takeaways:

  • 1. Trump's crypto reserve proposal has united the crypto community in skepticism, questioning its strategic and economic rationale.
  • 2. Economic indicators point to a potential slowdown, with geopolitical tensions further complicating market outlooks.
  • 3. Stablecoins and institutional adoption are pivotal in the evolving crypto landscape, offering both opportunities and challenges.
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March 5, 2025

Jim Bianco: Is Trump Trying to Wreck the Economy?

Bankless

Crypto

Key Takeaways:

  • 1. Trump's policies are reshaping the economic landscape, with significant implications for both traditional and crypto markets.
  • 2. The creation of a crypto strategic reserve introduces new dynamics, but also risks undermining the decentralized ethos of crypto.
  • 3. Tariffs are a double-edged sword, offering potential benefits in trade negotiations but posing risks to economic stability.
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March 5, 2025

Yat Siu on East vs. West Culture, Neo-Capitalism, and Onchain Property Rights

The Rollup

Crypto

Key Takeaways:

  • 1. The cultural divide between East and West impacts the adoption and perception of crypto and digital ownership.
  • 2. Institutional involvement is reshaping the crypto landscape, offering new opportunities for growth and stability.
  • 3. The gaming industry is poised for a resurgence, driven by major releases and the integration of blockchain technology.
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March 4, 2025

How Berachain Became One of the Most Popular Blockchains

Unchained

Crypto

Key Takeaways:

  • 1. Berachain's innovative Proof of Liquidity model aligns incentives for liquidity and security, driving ecosystem growth.
  • 2. The blockchain's culture and community engagement are central to its success, creating a unique and appealing environment.
  • 3. Despite initial criticisms, Berachain's focus on long-term value and community-driven growth positions it for continued success.
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