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AI Podcasts

December 12, 2025

Moving away from Agile: What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The "Agile" era is ending. AI demands a new, more fluid, and context-aware operating model for software development.
  2. Builder/Investor Note: Look for (or build) companies that are fundamentally redesigning their SDLC, team structures, and roles around AI, not just bolting on tools. This includes robust, outcome-based measurement.
  3. The "So What?": The next 6-12 months will separate the AI-native leaders from the laggards. Those who embrace this human and organizational transformation will unlock exponential value; others will be stuck with marginal gains.
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December 13, 2025

Proactive Agents – Kath Korevec, Google Labs

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The market is moving beyond basic "copilot" functionality. The next frontier is proactive, context-aware AI that reduces cognitive load and integrates seamlessly into existing workflows.
  2. Builder/Investor Note: Focus on building or investing in multi-agent architectures that converge context across the entire product lifecycle (code, design, data) and prioritize human-in-the-loop alignment over pure autonomy.
  3. The "So What?": The fundamental patterns of software development (Git, IDEs, even code itself) are ripe for disruption. Don't be afraid to question old ways; the future of how software is built is being invented right now.
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December 13, 2025

Minimax M2 – Olive Song, MiniMax

AI Engineer

AI
Key Takeaways:
  1. **The "Small is Mighty" Paradigm:** Don't underestimate smaller, specialized models. M2 proves that smart engineering, real-world feedback, and iterative reasoning can outperform larger models in specific, high-value domains.
  2. **Builders, Embrace Iteration:** Design your agents with "interleaved thinking." The ability to self-correct and adapt to noisy environments is critical for real-world utility.
  3. **The "So What?":** The next wave of AI agents will be defined by their robustness, cost-effectiveness, and ability to generalize across dynamic environments. M2 is a blueprint for building practical, scalable AI that developers will actually integrate into their daily workflows.
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December 11, 2025

No Priors Ep. 143 | With ElevenLabs Co-Founder Mati Staniszewski

No Priors: AI, Machine Learning, Tech, & Startups

AI
Key Takeaways:
  1. Strategic Shift: The future of human-computer interaction is voice-first, moving from static content to dynamic, personalized, and agentic experiences.
  2. Builder/Investor Note: Defensibility in AI is increasingly found in deep product layers, specialized architectural breakthroughs (especially in audio), and robust ecosystems, not just raw model scale.
  3. The "So What?": Over the next 6-12 months, expect to see significant advancements in proactive AI agents, immersive media, and personalized education, with voice as the core interface.
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December 10, 2025

The Unicorn Founder Who Delegated Everything.

a16z

AI
Key Takeaways:
  1. The AI-Delegation Revolution is Here: Start experimenting with AI tools like ChatGPT for delegation now. The future involves proactive machine assistants deeply integrated into your workflow.
  2. Builders & Investors: Focus on "How to Delegate": The biggest constraint isn't finding assistants, but teaching clients how to delegate effectively. Tools and services that educate delegators will win.
  3. Reclaim Your Ambition: By offloading the mundane, you free up mental bandwidth to think bigger, pursue more ambitious goals, and ultimately, control your most valuable asset: time.
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December 12, 2025

AI Eats the World: Benedict Evans on the Next Platform Shift

a16z

AI
Key Takeaways:
  1. Strategic Implication: The AI bubble is inevitable. Focus on defensible positions: deep product integration, proprietary data, and distribution, rather than just raw model performance.
  2. Builder/Investor Note: The opportunity lies in productizing AI for specific "jobs to be done" within niche industries, creating intuitive UIs, and building in validation, not just building another foundational model.
  3. The "So What?": We're about to figure out the true "job to be done" for many industries. AI will unbundle existing businesses by exposing their hidden inefficiencies or non-obvious defensibilities.
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December 13, 2025

The Mathematical Foundations of Intelligence [Professor Yi Ma]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Embrace Parsimony and Self-Consistency: Adopt these principles as guiding forces in AI design. Build models that not only compress data efficiently but also maintain a high degree of self-consistency to ensure accurate and reliable world models.
  2. Focus on Abstraction, Not Just Memorization: Prioritize developing systems that can abstract knowledge beyond mere memorization. Move beyond surface-level compression and aim for models that can discover and reason about the underlying principles of the world.
  3. Understand and Reproduce the Brain’s Mechanisms: Focus on understanding and reproducing the mechanisms in the human brain that enable deductive reasoning, logical thinking, and the creation of new scientific theories to truly push AI to the next level.
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December 10, 2025

Nav Kumar: Trishool, AI Alignment, Subnet 23, Mechanistic Interpretability, Rogue LLMs | Ep. 75

Ventura Labs

AI
Key Takeaways:
  1. **Prioritize AI Safety Research:** Invest aggressively in understanding and mitigating AI risks to safeguard humanity against potential rogue LLMs.
  2. **Support Decentralized AI Alignment:** Champion decentralized platforms like Bit Tensor and initiatives like Trishool that promote open and transparent AI alignment research.
  3. **Embrace Mechanistic Interpretability:** Drive the development of tools that enable us to understand and control the internal workings of AI models, ensuring alignment with human values.
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December 10, 2025

Everyone Needs an Assistant. Here’s Why.

a16z

AI
Key Takeaways:
  1. Embrace Delegation as a Foundational Skill: Whether you leverage AI or human support, mastering delegation is paramount for unlocking personal and professional potential.
  2. Prioritize Time Ownership: Recognize time as your most valuable asset and design your life and calendar around your highest goals.
  3. Start Small, Scale Intentionally: Begin with affordable AI tools and gradually incorporate human assistance as your budget and needs evolve, building trust and compounding leverage over time.
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Crypto Podcasts

February 16, 2026

Does Bitcoin Win or Lose In The Great AI-Tech Shakeout?

Unchained

Crypto
Key Takeaways:
  1. Bitcoin, once digital gold, is now frontier tech, vulnerable to broader tech sell-offs.
  2. Reallocate capital towards crypto assets benefiting from regulatory clarity and innovation: stablecoins, tokenized assets, privacy, prediction markets, perpetual futures.
  3. Bitcoin's short-term narrative is challenged, but its long-term tech thesis holds.
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February 17, 2026

Soft Jobs, AI CapEx Surge, and Institutions Move Onchain: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Real-time data platforms are supplanting traditional economic reporting, forcing investors to re-evaluate their information sources, while AI's capital expenditure is creating a bifurcation between infrastructure providers and speculative model companies.
  2. Prioritize investments in blockchain infrastructure and stablecoin-centric payment solutions that cater to the emerging agentic economy, and leverage real-time data for a competitive information advantage.
  3. The convergence of real-time data, AI agents, and blockchain rails will fundamentally alter market dynamics and value capture over the next 6-12 months, rewarding those who understand the shift from centralized, lagging systems to decentralized, optimized ones.
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February 17, 2026

Bitcoin Is Either Going To Zero Or A Million

1000x Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: AI is fundamentally reshaping corporate IT spending, driving a strategic pivot from external SaaS subscriptions to internal development, which will consolidate profits within mega-cap tech and pressure traditional software vendors.
  2. The Tactical Edge: Identify and invest in vertically integrated tech giants that can leverage AI for internal cost savings and new product development, while selectively shorting asset-heavy, midstream, or non-essential SaaS providers during strength.
  3. The Bottom Line: The current market is a re-evaluation of fundamental value across tech and crypto. Focus on companies with strong internal demand for compute and real-world utility, and understand that crypto's speculative cycles, while volatile, are driven by a unique social dynamic that will persist.
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February 16, 2026

MegaETH in 2026 & Ethereum's L2 End Game | Brett DiNovi & Lei Yang

Empire

Crypto
Key Takeaways:
  1. High-performance L2s are carving out new market segments by prioritizing user experience and speed over strict L1 equivalence, challenging traditional value accrual models.
  2. Builders should target L2s offering ultra-low latency and predictable costs for consumer-facing DeFi and gaming, as these environments enable novel, sticky applications.
  3. The next wave of crypto adoption hinges on L2s that can deliver real-time, seamless experiences, shifting value capture from L1 monetary premium to execution premium and innovative tokenomics.
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February 16, 2026

Lyn Alden: How to Survive The Gradual Print Era — Fed Chair Warsh, Gold & Bitcoin

Bankless

Crypto
Key Takeaways:
  1. The global monetary order is transitioning from a unipolar, dollar-dominant system to a multipolar one, driven by sovereign debt and geopolitical competition. This change elevates neutral reserve assets and challenges traditional financial institutions.
  2. Diversify your portfolio across high-quality equities (with an international and value tilt), hard assets (gold, silver, platinum, Bitcoin), and real-world assets like energy infrastructure. Maintain 5-10% cash for opportunities.
  3. The "gradual print" and ongoing monetary reordering mean sustained debasement of fiat currencies. Positioning in hard assets and resilient, undervalued real-world businesses is crucial for preserving and growing wealth over the next 6-12 months.
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February 16, 2026

As the AI Trade Cools Off, Are Bitcoin Miners Still a Buy?

Unchained

Crypto
Key Takeaways:
  1. The relentless demand for AI compute is transforming Bitcoin miners from speculative, commodity-dependent entities into stable, infrastructure-as-a-service providers. This pivot leverages their core asset—cheap power—to capture predictable, high-margin revenue streams.
  2. Evaluate Bitcoin mining stocks based on their AI contract pipeline, execution capabilities, and access to consistent power, rather than solely on Bitcoin price correlation. Prioritize those with colocation leases to minimize GPU capex risk.
  3. The strategic shift to AI offers a compelling de-risking narrative for Bitcoin miners, potentially leading to higher valuations and more stable cash flows. However, investors must monitor execution risks and political headwinds around power access over the next 6-12 months.
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