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AI Podcasts

December 19, 2025

Paying Engineers like Salespeople – Arman Hezarkhani, Tenex

AI Engineer

AI
Key Takeaways:
  1. Compensation Innovation: The traditional compensation playbook for engineers is outdated. New models that directly reward AI-augmented output will attract top talent and drive efficiency.
  2. Builder/Investor Note: Founders should re-evaluate their incentive structures. Investors should seek companies experimenting with these models, as they may achieve outsized productivity.
  3. The "So What?": The productivity gap between AI-augmented and non-AI-augmented engineers will widen. Companies that adapt their incentives will capture disproportionate value in the next 6-12 months.
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December 19, 2025

Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: Successful AI integration means identifying and solving *your* organization's specific SDLC bottlenecks, not just boosting code completion.
  2. Builder/Investor Note: Prioritize psychological safety and invest in AI skill development. For builders, this means dedicated learning time; for investors, look for companies that do this well.
  3. The "So What?": The next 6-12 months will separate organizations that merely *adopt* AI from those that *master* its strategic application and measurement, driving real competitive advantage.
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December 19, 2025

From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: AI integration is a company-wide transformation, not a feature. Organizations must re-architect processes, tools, and culture to compete.
  2. Builder/Investor Note: Prioritize internal tooling that democratizes AI experimentation. Look for companies establishing "model behavior" as a distinct, cross-functional discipline.
  3. The "So What?": The next 6-12 months will reward builders who bake AI security and user control into product design from day one, recognizing that technical mitigations alone are insufficient.
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December 19, 2025

No Priors Ep. 144 | The 2026 AI Forecast with Sarah & Elad

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

AI
Key Takeaways:
  1. AI's real-world impact will accelerate in 2026, particularly in "conservative" professional services and fundamental sciences, despite market volatility.
  2. Builders should focus on truly novel consumer agent experiences and niche robotics applications, while investors should eye AI IPOs with caution and consider energy efficiency plays.
  3. The next 6-12 months will clarify the geopolitical AI race and expose the true infrastructure bottlenecks, shaping the industry's long-term trajectory.
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December 19, 2025

How AI Will Transform Fintech In 2026

a16z

AI
Key Takeaways:
  1. Strategic Shift: The fintech market is moving from "digitizing everything" to "optimizing everything with AI." This means a focus on efficiency, personalization, and solving deep-seated financial problems.
  2. Builder/Investor Note: Opportunities abound in B2B AI software for financial institutions and in consumer fintechs that prioritize "excellence" over mere access. However, the escalating AI fraud threat demands significant investment in defensive technologies.
  3. The "So What?": Over the next 6-12 months, expect a surge in AI-powered financial products and services, but also a corresponding increase in the sophistication and volume of financial fraud. The battle for trust and security will define the winners.
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December 20, 2025

Are AI Benchmarks Telling The Full Story? [SPONSORED]

Machine Learning Street Talk

AI
Key Takeaways:
  1. Strategic Shift: The market will increasingly demand AI models evaluated on human-centric metrics, not just technical benchmarks. Companies prioritizing user experience and safety will gain a competitive edge.
  2. Builder/Investor Note: Investigate companies developing or utilizing advanced, demographically representative human evaluation frameworks. These are crucial for building defensible, user-aligned AI products.
  3. The "So What?": Over the next 6-12 months, expect a growing focus on AI safety, ethical alignment, and nuanced human preference data. The "Wild West" of AI evaluation is ending, paving the way for more robust, trustworthy systems.
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December 17, 2025

Rethinking Pre-Training for Agentic AI [Aakanksha Chowdhery] - 759

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Strategic Implication: The next frontier in AI is agentic, and progress hinges on fundamental pre-training innovation, not just post-training optimizations.
  2. Builder/Investor Note: Focus on teams with deep experience in scaling and debugging large models, as this is a high-capital, high-risk endeavor. Builders should prioritize developing new benchmarks for agentic capabilities.
  3. The "So What?": The industry needs to move beyond next-token prediction and static benchmarks to unlock truly capable, self-correcting AI agents in the next 6-12 months.
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December 17, 2025

Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

AI Engineer

AI
Key Takeaways:
  1. Shift in AI Development: The focus moves from syntax-aware code generation to execution-aware reasoning, enabling more robust and intelligent code agents.
  2. Builder/Investor Note: Prioritize tools and platforms that support explicit execution modeling and highly asynchronous, high-throughput RL training for agentic systems.
  3. The "So What?": AI that can simulate complex systems internally will drastically reduce development and testing costs, accelerating innovation in software and distributed systems over the next 6-12 months.
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December 17, 2025

AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: AI-driven kernel generation is not replacing human genius but augmenting it, allowing experts to focus on novel breakthroughs while AI automates the application of known optimizations across a complex hardware landscape.
  2. Builder/Investor Note: Focus on robust validation and hardware-in-the-loop systems. Claims of "AI inventing new algorithms" in this domain are premature. The real value is in automating the "bag of tricks" for heterogeneous compute.
  3. The "So What?": This technology is critical for scaling agentic AI workloads. Expect significant investment in tools that abstract hardware complexity and enable efficient, automated optimization, driving down the cost of AI inference in the next 6-12 months.
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Crypto Podcasts

December 23, 2025

Is Now a Good Time to Buy BTC? Or Should You Wait for THIS Setup? - Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: Deregulation is the new meta-theme. As the "Empire Strikes Back," traditional giants like Visa and Stripe will integrate crypto rails and turn the tech into invisible "TCP/IP" for finance.
  2. The Tactical Edge: Monitor M&A activity during holiday periods. Look for "quality supply" consolidation where winners absorb the IP of failing projects.
  3. The Bottom Line: 2026 is the target for a high-quality rally. The current shakeout is a feature designed to filter out the "nonsense supply" before the $40 trillion RIA channel arrives.
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December 24, 2025

How Crypto Users Get Rekt and How You Can Stay Safe

Unchained

Crypto
Key Takeaways:
  1. The Human Layer Exploit. As code becomes more robust, the attack surface moves to the people managing it. Security is now an HR and psychology problem as much as a technical one.
  2. Deploy YubiKeys. Replace SMS and app-based 2FA with hardware keys to stop phishing. If a site cannot talk to your physical key, the attacker cannot steal your session.
  3. Security is a process of adding layers, not a one-time audit. If you do not have a "blast radius" strategy to isolate your funds, you are one bad click away from a total loss.
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December 24, 2025

Regulation Shifts as Security Becomes the Real Risk

Unchained

Crypto
Key Takeaways:
  1. The Macro Evolution: The Institutional Osmosis. Crypto is no longer a parallel universe but a high-speed rail for traditional assets.
  2. The Tactical Edge: Audit Your Humans. Implement "Camera-On" policies and cross-verify identities via physical meetups to neutralize remote infiltration.
  3. The Bottom Line: Survival in the next 12 months depends on moving from "Degen" security to "Enterprise" resilience as the lines between Coinbase and BlackRock vanish.
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December 23, 2025

The End of Forever Games Is Closer Than You Think

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: Content Abundance vs. Attention Scarcity. As AI makes the "what" of gaming cheap, the "where" (distribution) and "who" (high-LTV users) become the only defensible assets.
  2. The Tactical Edge: Skin the Game. Use AI to rapidly iterate on visual assets for existing mechanics to capture trending subcultures within crypto communities.
  3. The Bottom Line: The future of gaming isn't about building a 10-year world; it's about building high-fidelity, ephemeral experiences that drive value to on-chain ecosystems.
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December 23, 2025

Ben Cowen on Where Crypto is Going in 2026

Bankless

Crypto
Key Takeaways:
  1. The Macro Shift: Macro gravity is currently winning as high interest rates suppress risk-on assets while AI captures the remaining speculative energy.
  2. The Tactical Edge: Accumulate Ethereum only when it enters the regression band and Bitcoin when it touches the 200-week moving average.
  3. The Bottom Line: The next major opportunity likely arrives in the summer of 2026 when monetary policy finally turns accommodative and the labor market stabilizes.
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December 23, 2025

How Kamino Became Solana's Largest Lending Protocol | Marius Ciubotariu

Lightspeed

Crypto
Key Takeaways:
  1. The transition from utilization-based pools to intent-based matching engines is the next evolution of DeFi. This movement mirrors the move from AMMs to order books in spot trading.
  2. Monitor the rollout of Kamino’s fixed-rate products to lock in borrowing costs for geared positions. This move protects against the volatility of variable rate markets during high-activity periods.
  3. Kamino is positioning itself as the back-end for the next generation of fintech. If they successfully bridge off-chain collateral, the protocol moves from a crypto-native tool to a global financial utility.
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