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AI Podcasts

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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December 23, 2025

Developer Experience in the Age of AI Coding Agents – Max Kanat-Alexander, Capital One

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from writing to reviewing as the primary engineering activity. As agents generate more code, the human role moves from creator to editor.
  2. The Tactical Edge: Build CLIs for every internal tool to give agents a native text interface. This increases accuracy and speed compared to visual automation.
  3. The Bottom Line: Developer experience is the infrastructure for AI. Investing in clean code and fast feedback loops is the only way to ensure AI productivity gains do not decay over the next 12 months.
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Crypto Podcasts

October 20, 2025

How Futarchy Ends the Rug Pull Era

Bankless

Crypto
Key Takeaways:
  1. From Voting to Value: Futarchy transforms governance from a popularity contest into a pure value-maximization engine, where the only thing that matters is whether a decision increases the token's price.
  2. Investor Protection on-Chain: By locking funds in a market-governed treasury, Futarchy offers automated, code-enforced investor protections that mimic—and may even surpass—traditional shareholder rights.
  3. The End of the Rug Pull Era: Platforms like MetaDAO create a new asset class of "ownership coins" where the incentive to rug is eliminated, signaling a potential turning point for the quality and reliability of crypto investments.
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October 17, 2025

Inside the Minds Shaping the Next Internet

The DCo Podcast

Crypto
Key Takeaways:
  1. **Invisible Blockchain is the Endgame.** The biggest barrier to mass adoption is user experience. The ultimate winners will make crypto so seamless that users don't even realize they're using it.
  2. **Revenue Beats Hype.** The industry is maturing from extractive schemes to sustainable businesses. Valuations must follow suit, focusing on ecosystem health, attention, and earned revenue—not just mints.
  3. **Coordination Creates Wealth.** Crypto's core innovation is "human coordination on steroids," a force powerful enough to potentially trigger the largest single wealth creation event in the internet's history.
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October 17, 2025

Gold Hits All-Time Highs, Stablecoin Adoption, and Historic Liquidations | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. **The Four-Year Cycle Is Dead.** The absence of a parabolic, post-halving rally confirms a new paradigm. Investors should expect more sustained, multi-year growth fueled by institutional adoption and macro trends, pointing to a strong 2026.
  2. **Stablecoins Are Capital Formation Engines.** The primary use case isn't peer-to-peer payments; it's a new financial primitive for funding real-world assets. This is crypto’s killer app for institutions.
  3. **DeFi's Transparency Wins.** The recent liquidations proved that while CeFi remains a house of cards with opaque risks and preferential treatment for insiders, DeFi’s transparent, on-chain systems offer superior resilience.
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October 17, 2025

DAS Takeaways, Crypto’s Largest Liquidation Ever & Have We Peaked? | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **The Great Bifurcation Is Here.** Institutional capital is flowing into Bitcoin and Ethereum, but the flash crash proved the altcoin market is a liquidity desert. Do not mistake ETF inflows for broad market support.
  2. **DeFi Won the Battle, CeFi Won the War (For Now).** Protocols like Aave performed perfectly, but the system's reliance on centralized exchange oracles was the critical point of failure. The future is hybrid, but the current integration is dangerously fragile.
  3. **Cash Flow Is King.** The era of vaporware is ending. From DATs to new tokens, the market will no longer tolerate projects without a clear path to revenue. The music has stopped for assets without a viable business model.
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October 17, 2025

Is the Crypto Bull Market Over? Gold All-Time Highs, Crypto Whipsaws: Are We Topping or Resetting?

Bankless

Crypto
Key Takeaways:
  1. Leverage is the market's double-edged sword. The $19B flash crash was a cascade failure driven by leverage, not fundamentals. It exposed the fragility of perpetual exchanges and the critical risk of Auto-Deleveraging (ADL) even for sophisticated traders.
  2. Wall Street is tokenizing everything. Larry Fink and BlackRock are building the operating system to move trillions in traditional assets on-chain. This isn't a speculative bet; it's a core strategy to capture a massive, untapped global market.
  3. Infrastructure is maturing, but risks are shifting. While core DeFi protocols proved bulletproof under stress, centralized exchanges and their oracle dependencies remain a systemic weak point, as shown by Binance's API failures and the resulting market chaos.
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October 17, 2025

Crypto Has Topped.

Taiki Maeda

Crypto
Key Takeaways:
  1. Altcoins Are Cooked. A decimated retail buyer base combined with relentless selling pressure from insider token unlocks creates a structurally bearish environment for the entire altcoin complex.
  2. Farm, Don't Buy. Stop being exit liquidity. The winning strategy is to farm airdrops to acquire tokens for free and become the one who sells at launch.
  3. Capital Preservation is King. The "one more 2x" mentality is a trap. Protect your gains by holding significant stablecoin reserves and acting quickly to de-risk. Take care of the downside, and the upside will take care of itself.
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