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AI Podcasts

December 26, 2025

What I learned at the frontier of tech in 2025 (Kelly, Cowen, Wang, Prince)

Azeem Azhar

AI
Key Takeaways:
  1. The Macro Pivot: The transition from weightless software to energy-heavy hardware.
  2. The Tactical Edge: Stop building "wrappers" for model weaknesses.
  3. The Bottom Line: AI value is moving from the model to the grid and the individual reputation.
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December 26, 2025

How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The Macro Shift: The Great Re-architecting. As legacy software moats evaporate and industrial supply chains reshore, value is migrating from passive data storage to active execution layers.
  2. The Tactical Edge: Target Archaic Verticals. Identify high-friction industries like mortgage servicing or IT support where the distance between intent and execution is currently measured in days.
  3. The Bottom Line: The next two years will reward those who build systems of action that replace human labor with autonomous agents and software-defined hardware.
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December 27, 2025

Why Scientists Can't Rebuild a Polaroid Camera [César Hidalgo]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Trend: Economic complexity predicts growth better than current GDP. Capital will move toward "high-letter" economies like India and Indonesia.
  2. The Tactical Edge: Prioritize team retention over documentation. Since knowledge is embodied, losing a core team is equivalent to deleting the source code.
  3. The Bottom Line: Success in the next decade belongs to those who treat knowledge as a living network rather than a digital asset.
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December 26, 2025

⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI

Latent Space

AI
Key Takeaways:
  1. The Macro Shift: Agentic Abstraction. We are moving from Model-as-a-Service to Agent-as-a-Service where the harness is as important as the weights.
  2. The Tactical Edge: Standardize your CLI. Use tools like ripgrep (RG) that models already have "habits" for to see immediate performance gains.
  3. The Bottom Line: The next 12 months will see the end of manual integration engineering as agents become capable of navigating UIs and legacy terminals autonomously.
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December 26, 2025

Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE

Latent Space

AI
Key Takeaways:
  1. The commoditization of syntax means architectural judgment is the only remaining moat. As the cost of code hits zero the value of intent skyrockets.
  2. Replace your manual refactoring workflows with a burn and rebuild strategy. Use agents to generate entirely new modules instead of patching old ones.
  3. Seniority is no longer a shield against obsolescence. You must spend the next six months building your agentic intuition or risk being replaced by a PhD student with a prompt.
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December 28, 2025

One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation

Latent Space

AI
Key Takeaways:
  1. The Macro Evolution: Standardized communication layers are replacing custom API integrations. This commoditizes the connector market and moves value to the models that best utilize these tools.
  2. The Tactical Edge: Standardize your internal data tools using MCP servers today. This ensures your company is ready for autonomous agents that can discover and use your resources without manual API integration.
  3. The Bottom Line: The agentic stack is consolidating around MCP. Interoperability is no longer a feature; it is the foundation for the next decade of AI utility.
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December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The transition from Prompt Engineering to Context Engineering where the goal is keeping the model's workspace small and relevant.
  2. Replace your complex classification prompts with a single Bash tool. Let the agent write its own Python scripts to handle data transformations.
  3. The winners in the agent space will not be those with the most complex logic. They will be the ones who build the best tools for the model to use.
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December 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: From Model-Centric to Eval-Centric. The value is moving from the LLM itself to the proprietary evaluation loops that keep the LLM on the rails.
  2. The Tactical Edge: Export production traces and build a "Golden Set" of 50 hard examples. Use these to run A/B tests on every prompt change before hitting production.
  3. The Bottom Line: Reliability is the product. If you cannot measure how your agent fails, you haven't built a product; you've built a demo.
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December 26, 2025

How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The transition from passive data storage to active agentic execution across both financial and industrial sectors.
  2. Target unsexy legacy industries like mortgage servicing or rare earth processing where the margin for improvement is highest.
  3. 2026 marks the year where software eating the world moves from the screen to the physical supply chain and the autonomous agent.
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Crypto Podcasts

February 2, 2026

Gavin Zaentz & Pranav Ramesh: Leadpoet, Lead Generation, Intent-Driven Sales Automation | Ep. 79

Ventura Labs

Crypto
Key Takeaways:
  1. The shift from centralized, static data aggregation to decentralized, real-time, incentivized intelligence networks is fundamentally changing how data-intensive industries operate.
  2. Investigate subnet opportunities where incumbent data quality is low and validation is a core challenge.
  3. The future of sales is not just about more leads, but smarter, fresher, and more relevant ones.
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February 3, 2026

Gold Crashes, Bitcoin Slides, and the Fed Shock Markets

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: As trust erodes in traditional financial systems and geopolitical risks rise, capital is flowing towards more efficient, permissionless DeFi markets. This is forcing traditional finance to adapt or lose market share.
  2. The Tactical Edge: Evaluate DATs trading below NAV for potential M&A or activist plays, as these discounts often reflect management misalignment rather than fundamental asset weakness.
  3. The Bottom Line: The current market volatility, Fed policy shifts, and the rise of DeFi are not just noise; they are reshaping capital allocation. Investors and builders must understand these structural changes to position for the next cycle of institutional adoption.
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February 2, 2026

Metals Crash & Bitcoin Breaks $80k

1000x Podcast

Crypto
Key Takeaways:
  1. Global economic uncertainty and tariff threats are triggering a broad risk-off sentiment, creating dislocations where fundamentally strong assets are sold indiscriminately.
  2. Reallocate capital from speculative metals positions into Bitcoin at current levels and high-conviction, revenue-producing crypto platforms like Hyperliquid.
  3. The current market turbulence is separating the signal from the noise. Focus on assets with strong fundamentals and organic usage, as they are poised for significant gains once the broader market stabilizes.
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February 3, 2026

Is BTC A Buy, Metals Crash, Hyperliquid RWAs, New Fed Chair

1000x Podcast

Crypto
Key Takeaways:
  1. Global market indigestion is creating a flight to quality and a re-evaluation of speculative assets. This environment favors fundamentally strong assets and platforms with clear utility over pure FOMO plays.
  2. Consider tax-loss harvesting Bitcoin positions that are out of the money and reallocate to high-conviction, revenue-producing crypto assets like Hyperliquid.
  3. The "crypto portfolio" concept is evolving; focus on individual assets with strong organic usage and mega-trend tailwinds. This strategic shift will differentiate winners from losers in the coming market cycles.
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February 2, 2026

Why BitGo Went Public | Mike Belshe

Empire

Crypto
Key Takeaways:
  1. Regulatory clarity and institutional demand are converging, driving a fundamental re-architecture of financial market infrastructure. This shift will see traditional finance increasingly rely on regulated crypto-native service providers.
  2. Builders and investors should prioritize infrastructure providers that offer robust regulatory compliance and fiduciary protection, as these are the non-negotiable requirements for the next wave of institutional capital.
  3. The digital asset industry is poised for massive growth, driven by Wall Street's entry. Companies like BitGo, by building transparent, regulated infrastructure, are not just participating in this growth; they are actively shaping the future of finance, making now the time to understand these foundational shifts.
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February 2, 2026

Curated Credit: How Maple and Morpho Approach DeFi Lending | Sid Powell & Merlin Egalite

0xResearch

Crypto
Key Takeaways:
  1. Institutional capital is eyeing DeFi, pushing for tokenized real-world assets like private credit and bonds to diversify yield sources beyond crypto-backed loans. This requires robust risk isolation at the smart contract level and a new generation of independent risk assessors to bridge TradFi and DeFi.
  2. Prioritize protocols that offer explicit risk profiles and transparent fee structures, especially those building towards intent-based lending. For builders, focus on creating infrastructure that supports isolated risk and attracts independent rating agencies.
  3. The future of DeFi lending hinges on transparency and sophisticated risk management. As institutions enter, the demand for clear, independently verified risk assessments will intensify, making protocols that embrace these principles the winners in the next market cycle.
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