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AI Podcasts

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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December 23, 2025

Small Bets, Big Impact Building GenBI at a Fortune 100 – Asaf Bord, Northwestern Mutual

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from "Human-in-the-loop" to "Agent-as-the-interface" for enterprise data.
  2. The Tactical Edge: Audit your metadata quality now because LLM accuracy is a direct function of your documentation.
  3. The Bottom Line: Success in enterprise AI is not about the biggest model but about the smallest, most frequent wins that build institutional trust.
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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-Productivity Gap. We are entering a period where model intelligence outpaces our ability to integrate it into high stakes production.
  2. Audit your stack. Identify tasks where "good enough" generation is a win versus high context tasks where AI is currently a net negative.
  3. Do not mistake a climbing benchmark for a finished product. For the next year, the biggest wins are not in smarter models but in better verification loops.
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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 transition from simple Large Language Models to Reasoning Models marks the end of the stochastic parrot era.
  2. Build agentic workflows that utilize high-context windows for recursive problem solving.
  3. We are moving toward a world where intelligence is a commodity. Your value will shift from knowing things to directing outcomes over the next 12 months.
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Crypto Podcasts

November 5, 2025

Why the Crypto Markets Seem Down Bad as Bitcoin Dips Below $100K

Unchained

Crypto
Key Takeaways:
  1. Despite the brutal sentiment, both speakers remain bullish, predicting a sharp reversal and a new all-time high for Bitcoin by the end of the year once macro clarity emerges.
  2. Macro is King. Bitcoin's fate is now tied to the broader economy. Forget four-year cycles; the key catalyst is a resolution to the government shutdown, which could unlock pent-up energy in the market.
  3. The Treasury Trade is Toast. The era of companies boosting their stock by simply buying Bitcoin is over. Expect a painful shakeout as the market demands real utility and revenue, leading to more forced selling.
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November 5, 2025

Play to Earn Crypto Games: $65B Opportunity | Open Game Protocol & Zynga Founder

The DCo Podcast

Crypto
Key Takeaways:
  1. Distribution is the prize, not payments. The real money in gaming isn't in payment rails, which are being competed down to zero. The scarcest and most valuable asset is user attention, and Open Game Protocol is designed to monetize distribution.
  2. Decouple to survive. Tying a single game to a single token creates a fatal dependency. A flexible, many-to-many protocol allows ecosystems to thrive by spreading risk and aligning incentives across multiple games and communities.
  3. Content abundance requires new discovery. As AI makes game creation cheap and fast, the bottleneck shifts from production to discovery. Integrating games directly into high-intent surfaces like crypto wallets creates a powerful, non-advertising-based discovery channel.
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November 4, 2025

Bits + Bips LIVE

Unchained

Crypto
Key Takeaways:
  1. **Follow the Suits, Not the Shouts.** The market’s real signal is the massive disconnect between gloomy retail sentiment on social media and the unprecedented optimism from financial advisors and institutional platforms.
  2. **Distribution is the New Kingmaker.** From Ripple buying prime brokerages to Tether leveraging its global south dominance, the primary battle is for distribution channels. The technical "best" solution is irrelevant if it can't reach users.
  3. **Regulation Will Be a Slow Grind, Not a Big Bang.** Comprehensive crypto legislation is politically gridlocked. The industry’s integration into legacy finance will continue brick-by-brick through regulated products like ETFs, not sweeping bills from Congress.
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November 4, 2025

LIVE: BOCCACCIO EXPLAINING TO HIS WIFE THAT THEY LOST IT ALL | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. Tokenized Funds Are a Real-World Unlock. Unlike many crypto narratives, bringing funds on-chain solves a tangible, expensive problem in traditional finance, creating massive operational efficiencies and new financial primitives.
  2. The Bitcoin Holder Base Is Shifting. The ongoing "Bitcoin IPO" via ETFs means the asset is moving from the hands of early adopters to institutional portfolios. This structural shift will define its future trajectory.
  3. Cash Is Your Best Hedge. In a market with fewer winners, holding cash is a strategic imperative. It prevents forced liquidation and provides the dry powder needed to seize high-conviction opportunities as they arise.
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November 3, 2025

War Stories From a Crypto Founder | Kain Warwick

Empire

Crypto
Key Takeaways:
  1. Airdrops Are Now Protection Money: Stop viewing airdrops as a tool for buying loyalty. The modern meta is about paying the community to prevent negative campaigns. Consider models that require financial commitment, not just clicks.
  2. Decentralization is a Journey, Not a Destination: The path to unseating CEXs is paved with compromises. Prioritize a seamless user experience, even if it means starting with a more centralized architecture, and iterate towards permissionlessness over time.
  3. Surviving is the Ultimate Edge: In a space where most participants wash out after one cycle, consistency is a superpower. The founders and investors who can endure the brutal bear markets and avoid personal burnout are the ones who ultimately win.
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November 3, 2025

“The Debasement Trade” - Luke Gromen on Gold, Bitcoin & The 100 Year Reset

Bankless

Crypto
Key Takeaways:
  1. The Debasement is Permanent. The US fiscal position makes currency debasement a permanent feature, not a bug. The winning strategy is to treat hard assets like gold and Bitcoin as long-term holdings, buying on dips rather than timing a temporary "trade."
  2. Watch Central Banks, Not Pundits. The most significant signal is that foreign central banks are systemically divesting from US Treasuries into gold. This is not market noise; it's a structural realignment of the global financial order.
  3. Own the Physical Asset. Paper gold (like ETFs) carries a critical tail risk. In a true crisis, governments could seize the underlying physical gold and cash-settle ETF holders at a pre-crisis price. If you don't hold it, you don't own it.
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