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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

December 2, 2025

Crypto Dumps on BOJ Pivot Signal as Tether, Strategy Turmoil Hit Markets: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Leverage is the Accelerant: The market's violent reaction to predictable macro news reveals a system still prone to painful, cascading deleveraging events driven by over-leveraged players.
  2. Narratives are Fragile Assets: MicroStrategy’s stumble shows that in crypto, narrative integrity is as critical as financial solvency. A violation can trigger sell-offs regardless of underlying fundamentals.
  3. Old Systems Break While New Ones are Built: The CME outage is a powerful, real-time advertisement for decentralized alternatives, underscoring TradFi's fragility even as its gatekeepers resist change.
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December 2, 2025

Crypto Dumps on BOJ Pivot Signal as Tether, Strategy Turmoil Hit Markets: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Macro is Back in Charge. The era of cheap leverage is facing a global reckoning, with the unwind of the Yen Carry Trade serving as a key trigger. High-beta assets like crypto are the first to feel the pain.
  2. Narrative Trumps Numbers. MicroStrategy's dip wasn't about math; it was about breaking a story. In crypto, violating a core community belief can be more damaging than a weak earnings report.
  3. TradFi's Fragility is Crypto's Calling Card. While crypto fends off FUD, a major institution like the CME went offline for 10 hours due to a failed air conditioner. This is a powerful, real-world advertisement for decentralized resilience.
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December 2, 2025

Crypto Dumps on BOJ Pivot Signal as Tether, Strategy Turmoil Hit Markets: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. High-Beta is a Crowded Trade: Crypto, alongside assets like uranium and quantum stocks, is being sold off in unison as investors rotate into value stocks. In this defensive environment, expect Bitcoin to outperform altcoins.
  2. Narrative Trumps Fundamentals (For Now): MicroStrategy’s stock plunged not on a fundamental crisis but on the CEO admitting they *might* sell Bitcoin in a corner case—a direct violation of their "never sell" narrative.
  3. Don't Fight the Central Banks: The BOJ’s tightening signal was the trigger for the dump. Conversely, the Fed's expected rate cuts and potential for future dovish leadership remain the key bullish catalysts to watch.
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December 2, 2025

LIVE | CRYPTO TRENDS WITH ALANA FROM VARIANT | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. DEXes Are Winning by Default: The sheer volume of new, on-chain-only tokens is an unstoppable force driving users to DEXes. Centralized exchanges can either integrate or become irrelevant for the long tail of assets.
  2. The Real Money is in the Rails: Don't focus on who will issue the next dominant stablecoin. The biggest opportunity lies in building the interoperability infrastructure that will connect the coming flood of branded, corporate, and national stablecoins.
  3. Bitcoin's Ultimate Bull Case is Geopolitical: In a world of fragmenting currencies and rising geopolitical tensions, Bitcoin's status as a non-sovereign, politically neutral asset makes it the ultimate contender for a global reserve currency.
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December 2, 2025

LIVE | CRYPTO TRENDS WITH ALANA FROM VARIANT | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. **Memecoins Were a Trojan Horse:** The speculative frenzy was a catalyst that massively accelerated DEX adoption and forced millions of users to finally learn how to use self-custody wallets and on-chain tools.
  2. **Prepare for Thousands of Stablecoins:** Every company with deposits will likely issue its own "branded money." The next major infrastructure battle will be building the interoperability layers—the "Visa for stablecoins"—to manage this fragmented liquidity.
  3. **The Real Stablecoin Opportunity is Global:** The next frontier isn't another USD competitor, but non-USD stablecoins tied to high-yield foreign currencies, which will unlock the creation of on-chain foreign exchange (FX) markets.
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December 2, 2025

LIVE | CRYPTO TRENDS WITH ALANA FROM VARIANT | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. DEXs are Eating the World. The on-chain asset explosion has permanently shifted trading gravity. Centralized exchanges must now integrate with DeFi or risk becoming irrelevant islands.
  2. Stablecoins are the New Gift Cards. The move to "branded money" will create a fragmented landscape. The next billion-dollar opportunity is not in issuing another stablecoin, but in building the interoperability rails that make them all work together seamlessly.
  3. Distribution is the New Defensibility. As stablecoin issuance becomes commoditized, the winners will be those with massive distribution networks (like Stripe) who can embed their currency into everyday user flows.
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