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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

June 22, 2025

Yano On What The New Token Transparency Framework Looks Like

Empire

Crypto
Key Takeaways:
  1. **Standardized Scrutiny Arrives:** The Token Transparency Framework introduces a systematic, 18-criteria evaluation, offering a clear benchmark for assessing token projects beyond hype.
  2. **Rewards & Repercussions:** By first celebrating transparent projects (like Jito and Jupiter) and then planning to rate less forthcoming ones, the framework aims to incentivize industry-wide improvements in disclosure.
  3. **Investor Toolkit Boost:** This framework provides investors with a concrete tool for due diligence, moving towards a more informed and transparent crypto investment landscape.
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June 21, 2025

0xResearch | June 20th, 2025

0xResearch

Crypto
Key Takeaways:
  1. CEXs Go Lean: Exchanges are increasingly opting for lighter on-chain footprints, prioritizing app development on existing chains over building new L1s/L2s, signaling a focus shift to direct user value.
  2. Transparency is Non-Negotiable: The 0xResearch Token Transparency Framework highlights a critical industry need for standardized disclosures, aiming to build trust and attract serious capital by demystifying token projects.
  3. Utility Drives Valuation: Projects like Kamino, despite strong fundamentals and growth, underscore that clear token utility and value accrual mechanisms are essential for market recognition and valuation.
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June 20, 2025

Macro Uncertainty, Circle’s Surge, and Prediction Market Utility | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Selective Bets Over Broad Sprees: Forget throwing darts; the crypto market now rewards surgical precision. Focus on projects with strong fundamentals and demonstrable traction, as "hyper dispersion" is the new norm.
  2. Public Equities as a Crypto Proxy: With limited direct, high-quality crypto IPOs, existing listed entities like Circle and Coinbase are soaking up institutional and retail interest, mimicking "alt season" dynamics in traditional markets.
  3. Pragmatism Pays: The industry is shedding ideological baggage. Successful projects will meet existing market needs, provide clear disclosures, and avoid outdated tokenomic "tricks." Prediction markets are an emerging utility to watch.
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June 20, 2025

Token Transparency and The Hot Ball of Money (Hyperliquid/Circle) | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **Transparency is Now Table Stakes:** Projects neglecting robust disclosure standards, like those promoted by the new Token Transparency Framework, will face escalating investor scrutiny and skepticism.
  2. **Public Markets: Crypto's Current Darling (But For How Long?):** Expect continued capital inflow and outperformance from regulated, publicly traded crypto entities before a potential, broader token market resurgence.
  3. **Real Value is Built on Fundamentals & Community:** Platforms like Hyperliquid, showcasing operational efficiency, potent tokenomics, and community wealth creation, are forging lasting value that transcends fleeting market trends.
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June 20, 2025

How the GENIUS Act Brings Stablecoins Mainstream | JP Morgan JPMD

Bankless

Crypto
Key Takeaways:
  1. Stablecoin Surge: The GENIUS Act is set to unleash trillions in stablecoin value, positioning dollar-backed digital assets as a global financial linchpin and reinforcing US dollar networks.
  2. ETF Explosion Imminent: Prepare for a diversified crypto ETF market in 2025, as assets like Solana and Dogecoin likely gain approval, testing the true depth of institutional appetite.
  3. Super App Showdown: The battle for your financial future is on, with Coinbase and Robinhood racing to build all-in-one platforms blending traditional finance with on-chain crypto services.
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June 20, 2025

The Rise Of Crypto's App Ecosystem Mike Dudas

Lightspeed

Crypto
Key Takeaways:
  1. **Revenue is King**: The "revenue meta" isn't a meme; it's the future. Invest in applications and protocols generating real cash flow.
  2. **Solana's DeFi Gap is an Opportunity**: Solana needs robust, user-friendly DeFi, especially perps. Building best-in-class products here is a massive opportunity, even if not unseating current L2 leaders.
  3. **IPOs & M&A Signal Maturation**: The success of Circle’s IPO and increasing M&A activity point to a maturing industry where equity value is re-emerging, offering alternative liquidity paths beyond token launches.
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