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AI Podcasts

December 11, 2025

Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study) – Yegor Denisov-Blanch, Stanford

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: AI ROI isn't about adoption, it's about intelligent adoption. The gap between top and bottom performers will widen based on measurement sophistication and codebase health.
  2. Builder/Investor Note: For builders, prioritize codebase hygiene and engineer training before or concurrently with AI rollout. For investors, scrutinize AI productivity claims; ask about code quality, rework rates, and specific measurement frameworks beyond simple usage.
  3. The "So What?": In the next 6-12 months, companies that master AI integration by focusing on quality, measurement, and environment will compound their gains, while those chasing superficial metrics risk significant tech debt and negative ROI.
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December 11, 2025

The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The next frontier of AI in software isn't just *generating* code, but *governing* its quality. This shift will redefine competitive advantage.
  2. Builder/Investor Note: Prioritize investments in AI-powered quality gates, intelligent code review, and dynamic testing. For builders, feed your AI tools rich, comprehensive context. For investors, look for companies building these "picks and shovels."
  3. The "So What?": The promised 2x-10x productivity gains are real, but they won't come from raw code generation alone. The next 6-12 months will see a scramble to implement agentic, context-aware quality workflows to unlock AI's true potential across the SDLC.
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December 12, 2025

Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: The competitive edge in AI agents is moving from clever architecture to superior model training data and robust RL environments.
  2. Builder/Investor Note: Prioritize raw model capability over complex agent stacks. Builders should contribute to open-source RL environments; investors should seek companies focused on generating and leveraging high-quality training data.
  3. The "So What?": The next 6-12 months will see a race to build and utilize real-world, outcome-driven benchmarks. Open initiatives like Client Bench could democratize model improvement and accelerate AI development significantly.
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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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Crypto Podcasts

May 27, 2025

Travis Millott: Tao Templar, Bittensor Subnets, Dynamic Tao, Mining, Crypto Education | Ep. 44

Ventura Labs

Crypto
Key Takeaways:
  1. Dynamic Tao is High-Risk: Approach investments with extreme caution; the market is volatile, and significant capital loss is a tangible risk.
  2. Embrace Unpredictable Innovation: Bittensor's core value lies in its capacity to generate unforeseen, groundbreaking solutions from a global, permissionless, and competitive talent pool.
  3. Substrate Chain Decentralization is Critical: The successful decentralization of Bittensor's foundational layer is a paramount upcoming milestone for its long-term viability, security, and censorship resistance.
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May 26, 2025

The Bitcoin Treasury Playbook With Tyler Evans & Josh Solesbury

Empire

Crypto
Key Takeaways:
  1. Global Takeover: Bitcoin treasury strategies are rapidly globalizing, creating new Bitcoin-proxy investment vehicles in numerous capital markets.
  2. Investor Vigilance: While "Bitcoin plus" returns are alluring, investors must critically assess MNAV multiples and beware of highly leveraged companies lacking strong, transparent leadership.
  3. Reverse Tokenization is Real: Crypto assets are increasingly entering traditional finance via these public companies, fundamentally changing institutional access and perception.
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May 26, 2025

Why Analysts Are Valuing ETH All Wrong

Bankless

Crypto
Key Takeaways:
  1. **L1s are Money, Not Stocks:** Stop trying to fit square pegs (L1s) into round holes (DCF models for companies). Their value accrues like money, through network effects and demand for their monetary properties.
  2. **RSOV is Your New Lens:** Use RSOV to gauge the "stickiness" of capital in an L1 ecosystem. A growing RSOV suggests a strengthening monetary base and potentially a rising valuation floor.
  3. **ETH's RSOV Story:** ETH, when viewed through the RSOV lens, appears undervalued relative to assets like Bitcoin, especially considering catalysts like EIP-4844 ("proto-danksharding") and the growth of its L2 ecosystem, which drives ETH's use as a store of value.
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May 23, 2025

Entering Ethereum’s New Era | Tomasz Stańczak

Bell Curve

Crypto
Key Takeaways:
  1. Aggressive Scaling is Non-Negotiable: The EF is committed to exponential L1 scaling to support a vastly larger on-chain economy.
  2. TradFi Integration is Here: Ethereum is the prime venue for tokenizing real-world assets, bridging traditional finance with decentralized systems.
  3. A Renewed "Winning" Culture: The EF is adopting a more proactive, delivery-focused approach to ensure Ethereum's continued leadership and impact.
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May 23, 2025

Entering Ethereum’s New Era | Tomasz Stańczak

Empire

Crypto
Key Takeaways:
  1. Aggressive Execution: The Ethereum Foundation is adopting a "winning" mindset, prioritizing product delivery, engineering excellence, and rapid scaling (e.g., 3x annual gas limit increases).
  2. Deepening Capital Markets: Ethereum is solidifying its position as the primary settlement layer for RWAs and the burgeoning on-chain finance sector, attracting significant institutional interest.
  3. Innovation Frontier: Expect new waves of innovation in NFTs (tied to RWAs and AI) and enhanced L2 interoperability, driven by advancements like real-time ZK proofs.
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May 23, 2025

What’s Next for Our Precious Stablecoins?

blocmates.

Crypto
Key Takeaways:
  1. Stablecoin Shake-Up Looms: Circle's potential sale to Coinbase or Ripple could either fortify Tether's dominance or usher in a new, more controlled USDC, fundamentally altering the competitive landscape.
  2. Decentralization vs. Control: The Sui network freeze post-hack forces a hard look at crypto's soul—is absolute decentralization viable, or will pragmatic interventions become the norm?
  3. Institutional Inflows Demand Real Value: Beyond Bitcoin, the survival and growth of stablecoins and altcoins hinge on delivering tangible utility and robust security, not just speculative narratives.
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