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AI Podcasts

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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December 26, 2025

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

Latent Space

AI
Key Takeaways:
  1. The transition from chatbots with tools to agents that build tools marks the end of the manual integration era.
  2. Stop building custom model scaffolding and start building on top of opinionated agent layers like the Codex SDK.
  3. In 12 months, the distinction between a coding agent and a general computer user will vanish as the terminal becomes the primary interface for all digital labor.
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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. Software is moving from a scarce resource produced by humans to a commodity generated by agentic swarms.
  2. Move beyond simple chat interfaces and start experimenting with agentic loops plus MCP servers to automate entire workflows.
  3. The AI Engineer is the new F1 driver of tech. Mastery of the tool belt matters more than the ability to build the car from scratch.
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December 24, 2025

METR's Benchmarks vs Economics: The AI capability measurement gap – Joel Becker, METR

AI Engineer

AI
Key Takeaways:
  1. The Capability-Utility Gap is widening. We see a divergence where models get smarter but the friction of human-AI collaboration keeps productivity flat.
  2. Deploy AI for mid-level engineers or low-context tasks. Avoid forcing AI workflows on your top seniors working in complex legacy systems.
  3. The next year will focus on reliability over raw intelligence. The winners will have models that require the least amount of human babysitting.
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December 24, 2025

PhD Bodybuilder Predicts The Future of AI (97% Certain) [Dr. Mike Israetel]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Shift: Scaling laws are hitting a diminishing return on raw data but a massive acceleration in reasoning. The shift from statistical matching to reasoning agents happens when models can recursively check their own logic.
  2. The Tactical Edge: Build for the agentic future by prioritizing high-context data pipelines. Models perform better when you provide massive context rather than relying on zero-shot inference.
  3. The Bottom Line: We are 24 months away from AI that makes unassisted human thought look like navigating London without a map. Prepare for a world where the most valuable skill is directing machine agency rather than performing manual logic.
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December 23, 2025

Continual System Prompt Learning for Code Agents – Aparna Dhinakaran, Arize

AI Engineer

AI
Key Takeaways:
  1. The transition from model-centric to loop-centric development. Performance is now a function of the feedback cycle rather than just the weights of the frontier model.
  2. Implement an LLM-as-a-judge step that outputs a "Reason for Failure" field. Feed this string directly into a meta-prompt to update your agent's system instructions automatically.
  3. Static prompts are technical debt. Teams that build automated systems to iterate on their agent's instructions will outpace those waiting for the next model training run.
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Crypto Podcasts

July 3, 2025

How Stablecoins Are Hijacking The Yield Curve

Forward Guidance

Crypto
Key Takeaways:
  1. Exporting US Monetary Policy. Stablecoins are extending the US financial system's reach by creating a global on-ramp to dollar assets. Demand from emerging markets now directly impacts US Treasury yields.
  2. The Repo Market is the Epicenter. The crucial arena for stablecoin reserves is shifting from T-bills to the reverse repo market. This creates a massive, structural demand for overnight lending against Treasury collateral.
  3. A Permanent Weight on the Yield Curve. This constant, inelastic demand from stablecoin issuers will act as a permanent force suppressing Treasury funding rates, creating a powerful and lasting influence on the entire US yield curve.
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July 2, 2025

Is Robinhood Unlocking Crypto’s Next Frontier?

1000x Podcast

Crypto
Key Takeaways:
  1. Robinhood is the Blueprint. Its plan to launch tokenized assets on its own future Layer-2 is the new model for financial institutions, creating a direct challenge to the supremacy of existing public blockchains.
  2. Become a Trader, Not a "Crypto Trader". The most successful investors will be those who treat crypto as one of several asset classes, moving capital opportunistically based on macro trends, political shifts, and emerging frontiers like prediction markets.
  3. Politics Will Drive Your Portfolio. While both US political parties are expected to debase the dollar through spending, they present different risks. The Republican party is seen as bullish for risk assets via deregulation, while a progressive Democratic shift could introduce bearish headwinds through redistributionist policies.
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July 2, 2025

Sideways Crypto Markets? How Much Longer? Onchain Data Explained

Bankless

Crypto
Key Takeaways:
  1. Don't Mistake Sideways for Collapse. The market is in a period of accumulation. On-chain data shows long-term Bitcoin holders are at all-time highs, forming a powerful price floor.
  2. Buy the Hate. Abysmal sentiment in altcoins is a strong contrarian signal. "Fair value" metrics like MVRV for ETH and SOL indicate a prime buying window is open now, ahead of a potential rally.
  3. Watch the Fed. The ultimate catalyst is global liquidity. A cut in the Fed funds rate, which markets price with a ~75% chance for September, is the primary trigger for crypto's next major leg up.
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July 1, 2025

How to Build Through Bull & Bear Markets | Permissionless IV Fireside Chat | Bonus Episode

Empire

Crypto
Key Takeaways:
  1. Ignore the Noise: Founder success is judged by market cycles, not actual progress. The primary challenge is maintaining conviction in a long-term vision while resisting the pressure to chase short-term narratives.
  2. Institutions Play the Long Game: The institutional floodgates are opening, but it's a slow trickle, not a tidal wave. The immediate future is stablecoins and basic yield products, not a full-scale DeFi revolution within banks. Patience is the ultimate competitive advantage.
  3. The Future is a Tokenized IPO: The most aligned path to liquidity for a crypto company is to tokenize its own equity and list on-chain. This is the endgame, and projects are already experimenting with precursor products like liquid staking tokens to pave the way.
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July 1, 2025

Robinhood Announces Tokenized Stocks! LIVE with CEO Vlad Tenev, Johann Kerbrat, and AJ Warner

Bankless

Crypto
Key Takeaways:
  1. Private Markets Unleashed: Robinhood is weaponizing tokenization to give retail investors access to previously unobtainable private giants like OpenAI, tackling a core inequity of modern finance.
  2. A Purpose-Built RWA Chain: The "Robinhood Chain" on Arbitrum is a strategic moat, designed specifically for real-world assets by prioritizing regulatory compliance and military-grade robustness over speculative hype.
  3. The New Financial Stack: By combining its app (distribution), chain (settlement), and Bitstamp (24/7 liquidity), Robinhood is building a powerful, integrated machine to challenge both crypto exchanges and legacy stock markets.
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July 1, 2025

a16z's Crypto Thesis With Ali Yahya

Lightspeed

Crypto
Key Takeaways:
  1. Financials First, Consumer Later: Bet on financial primitives like stablecoins and DeFi today. They are most likely to gain traction first, paving the way for consumer apps once crypto's brand is repaired.
  2. Solana's Mandate is Stablecoins: Solana’s technical achievements are a means to an end. Its success now hinges on aggressively capturing the stablecoin market to anchor its ecosystem and drive network effects.
  3. Proof of Humanity is the AI Counterweight: In an internet flooded with AI, decentralized identity solutions like Worldcoin become critical infrastructure, representing a powerful synergy between crypto and AI.
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