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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 9, 2025

Is Joe Lubin the Michael Saylor of Ethereum?

Bankless

Crypto
Key Takeaways:
  1. Regulatory Renaissance: The SEC's stance has softened, creating a more favorable U.S. environment for crypto; Ether's non-security status (for the scope of the past investigation) is a major win.
  2. Ether as a Productive Treasury Asset: ESBET's strategy of acquiring and actively yielding Ether could set a new standard for corporate treasuries, showcasing Ether's utility beyond just holding.
  3. The "Trust Commodity" Narrative: Expect a strong push to frame Ether's value around its ability to provide programmable trust and facilitate economic activity, with Lubin championing this.
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June 6, 2025

Could Crypto Treasury Companies Create Systemic Risk for the Industry?

Unchained

Crypto
Key Takeaways:
  1. High Premiums are a Red Flag: The massive premiums (some at 80x NAV) on many new crypto treasury stocks are likely unsustainable and warrant extreme investor caution.
  2. Collateralization is the Catalyst: The primary systemic risk emerges if these shares become widely accepted as collateral, creating a leveraged ecosystem vulnerable to market shocks.
  3. History as a Guide: The industry must heed the lessons from GBTC's collapse to prevent irresponsible risk-taking and a potential repeat of cascading failures.
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June 6, 2025

0xResearch | Friday, June 6th

0xResearch

Crypto
Key Takeaways:
  1. Fiscal Reality Bites: Government spending, not just Fed moves, dictates the macro game; hedge accordingly.
  2. Structure Matters, Massively: Demand for "pure play" crypto assets is immense; projects clarifying token value accrual (a la Morpho) will win.
  3. Show, Don't Just Tell: For L1s and protocols, delivering tangible results and clear revenue paths to token holders trumps theoretical brilliance.
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June 6, 2025

PumpFun’s Impact on Solana, Circle’s IPO, and Elon and Trump’s Feud | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. PumpFun's Token Looms Large: With its massive user base and revenue, PumpFun's upcoming token is a critical event for Solana and the broader memecoin market, offering a direct investment into crypto's consumer wave.
  2. IPO Window is Open: Circle's successful IPO signals renewed investor interest in publicly traded crypto companies, potentially paving the way for more listings and providing liquidity events for equity holders.
  3. Regulatory Clarity is King: The future of crypto innovation, from token launches to organizational structures, hinges on clear market structure legislation to move beyond current cumbersome models.
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June 6, 2025

Don’t Midcurve Circle and PumpFun | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Don't Midcurve Success: Circle’s IPO triumph, despite online skepticism, shows that strong fundamentals and clear value propositions (like stablecoin infrastructure) attract serious capital.
  2. Ambition Attracts Capital (and Scrutiny): Pump.fun's massive raise, while controversial, signals a drive to leverage its huge user base for something much bigger than memecoins. Profitability plus vision equals investor interest.
  3. IPO Pipeline Primed: Circle’s success is a catalyst, likely opening the IPO floodgates for other mature crypto companies sooner than anticipated.
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June 6, 2025

How Will Pump Fun's Token Impact Solana? | Weekly Roundup

Lightspeed

Crypto
Key Takeaways:
  1. Cash is King (Again): Pump Fun's $1B target underscores a potential shift back to ICOs for well-capitalized projects, offering a war chest for aggressive expansion, M&A, and de-risking beyond what current revenues allow.
  2. Distribution is Destiny: Pump Fun's long-term viability hinges on owning its front-end and user discovery to avoid disintermediation, making moves into wallets or even exchanges critical.
  3. Solana Symbiosis Likely: Despite L1/L2 speculation, Pump Fun’s incentives align more with growing the existing memecoin market on Solana rather than fragmenting its user base by launching a new chain, especially given Solana's ongoing performance enhancements.
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