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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

February 2, 2026

The Last Companies That Will Ever Exist

Bankless

Crypto
Key Takeaways:
  1. The global economy is transitioning from a "bits" era of digital innovation to an "atoms" era, driven by AI and robotics, where control over physical resources and their efficient deployment becomes the ultimate competitive advantage.
  2. Prioritize investments in companies demonstrating vertical integration across intelligence, energy, and labor, especially those building physical infrastructure and manufacturing capabilities at scale.
  3. The race to acquire the "Infinity Gauntlet" of capitalism is on. Companies that achieve self-sufficiency in intelligence, energy, and labor will redefine economic power, making traditional capital almost irrelevant and creating a new class of unassailable monopolies.
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February 2, 2026

Logan Jastremski: Solana vs Hyperliquid - Who Wins The Global Exchange Race?

Delphi Digital

Crypto
Key Takeaways:
  1. The global financial system demands 24/7, credibly neutral price discovery. This pushes blockchain architecture beyond raw throughput to geographically optimized, low-latency transaction inclusion, creating a truly global market.
  2. Invest in infrastructure and applications on chains pursuing multi-leader consensus and proprietary AMMs. These designs offer superior price discovery and execution for the next generation of global trading.
  3. The global exchange race is an engineering marathon, not a sprint. While Hyperliquid excels regionally, Solana's architectural bet on physics-defying global fairness aims to become the world's true price oracle, unlocking trillions in new trading volume.
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February 2, 2026

How to Fix Tokenized Securities with Olivia Olivia Vande Woude from Ava Labs

The Rollup

Crypto
Key Takeaways:
  1. Trust is moving from opaque balance sheets to verifiable, cryptographically enforced infrastructure. This means financial protocols, not just institutions, will increasingly dictate settlement, custody, and compliance.
  2. Prioritize tokenized assets and investment vehicles that offer direct legal claims and verifiable on-chain mechanics. For builders, focus on creating infrastructure that eliminates intermediaries and provides transparent, programmable utility, like vaults.
  3. The future of finance is about verifiable infrastructure and programmable ownership. Understanding the nuances of tokenized security structures and the rise of on-chain vaults will be critical for investors and builders navigating the convergence of traditional finance and DeFi over the next 6-12 months.
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February 2, 2026

The 1010 Exploit and other broken market structures

The Gwart Show

Crypto
Key Takeaways:
  1. The market is demanding verifiable, transparent, and capital-efficient trading venues that eliminate the hidden risks of centralized intermediaries. This pushes innovation towards fully onchain, unified risk engines.
  2. Explore platforms that integrate multiple DeFi primitives (spot, perp, lending) under a single, onchain risk engine. These venues offer superior capital efficiency and potentially higher risk-adjusted returns for sophisticated strategies like basis trades.
  3. The next wave of DeFi success will come from platforms that solve for capital productivity and verifiable safety, attracting institutional and sophisticated retail capital by offering returns previously unattainable in fragmented or opaque markets.
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February 1, 2026

Crypto is so Cooked.

Taiki Maeda

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional capital flow dictates market cycles; the current downturn purges weak projects, paving the way for a value-driven recovery.
  2. The Tactical Edge: Identify projects with genuine value accrual, strong fundamentals, and potential for buybacks, preparing to dollar-cost average into these "Carvana" plays.
  3. The Bottom Line: The current "gross" feeling is a signal to strategically deploy capital into long-term, high-conviction assets, rather than short-term trading.
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February 1, 2026

Looking for Gains Right Now? Crypto Isn’t the Trade — This Is: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Capital is migrating from speculative, long-tail crypto assets to tokenized real-world assets and sophisticated derivatives. This reflects a broader market demand for yield, hedging, and perceived stability.
  2. Explore tokenized commodities (gold, silver) and equity perpetuals for new leverage and yield opportunities. Exercise extreme caution with prediction markets and weekend tokenized equity trading due to information asymmetry and manipulation risks.
  3. The crypto market is maturing beyond pure digital assets, integrating with traditional finance through tokenization and derivatives. Position your portfolio to capture value from this convergence, prioritizing robust liquidity and verifiable information over pure speculation.
See full notes