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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

September 17, 2025

FinTech Meets Crypto: The Future of Global Payments

Bankless

Crypto
Key Takeaways:
  1. **Stablecoins Are Rebranding Crypto.** The FinTech industry is adopting stablecoin technology not as a niche crypto asset, but as the foundational layer for "FinTech 3.0," poised to overhaul global payments.
  2. **The EVM Is The New COBOL.** Specialized payments chains are standardizing the EVM as the backend for modern finance, creating high-throughput, compliant on-ramps that will bring trillions in TradFi volume on-chain.
  3. **Payments Are Just The Beginning.** Once the world rebuilds its payments infrastructure on stablecoins, the floodgates will open for the complete tokenization of all financial assets, forever blurring the line between crypto and finance.
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September 16, 2025

Collector Crypt: Onchain Capital Markets On Solana | Tuomas Holmberg

Lightspeed

Crypto
Key Takeaways:
  1. Onchain Rails Create New Economies. By digitizing physical assets on high-performance chains like Solana, you eliminate friction around custody, settlement, and global access, unlocking novel business models like the Gotcha Machine.
  2. Real-World Logistics Are the Ultimate Moat. While anyone can build a smart contract, Collector Crypt’s defensibility comes from its physical supply chain—dealer relationships and automated acquisition tools that secure inventory below market price.
  3. Novel Oracles Unlock the Next Wave of DeFi. The future of onchain finance depends on reliably pricing illiquid, real-world assets. Developing proprietary oracles, like Collector Crypt’s, is the first step to building DeFi for everything.
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September 15, 2025

Is It Time to Rotate Out of Crypto?

1000x Podcast

Crypto
Key Takeaways:
  1. **De-Risk Your Alts.** Crypto is showing significant weakness by failing to rally with equities. Ethereum's lower high is a major red flag for the altcoin market; it's time to reduce leverage and concentrate into Bitcoin or cash.
  2. **Hunt for Value in TradFi.** Traditional markets are offering powerful narrative-driven plays with crypto-like upside. Focus on assets like Tesla (robotics), Robinhood (gambling culture), and commodities like uranium (energy independence).
  3. **Fade the ETF Narrative.** The institutional "sugar high" from ETFs is wearing off as the front-running trade becomes crowded and inflows wane. The market needs a new, more durable catalyst to move higher.
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September 15, 2025

Bittensor TAO :: Community Q+A :: Sub-Subnets, Deregistration, Yuma Consensus + more

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways
  1. Subnets are becoming more complex. The introduction of sub-subnets will allow for more sophisticated, multi-faceted incentive mechanisms within a single subnet, effectively turning them into "mixtures of experts."
  2. Performance is now paramount. Subnet deregistration creates a "perform or perish" dynamic. Underperforming subnets risk being automatically removed, with their assets returned to token holders as TAO.
  3. Decentralization is on the horizon. The shift to Proof-of-Stake and a formal on-chain governance structure are actively being developed, marking a deliberate move toward placing control in the hands of the community.
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September 15, 2025

How to Invest in The Debasement Era

Bankless

Crypto
Key Takeaways:
  1. Recessions Are Canceled, Inflation Is Not: Perpetual government stimulus will prevent deep downturns, but it locks in higher inflation. Plan for a ~3% floor and a market that swings between boom and stagflation.
  2. The US Super Cycle Is Over: After a historic 15-year run, US market dominance has peaked. The next decade’s alpha will be found in undervalued international markets benefiting from a weakening dollar.
  3. Build a Debasement-Proof Portfolio: Ditch long-duration bonds. Hold cash for opportunity, stay invested in global equities, and overweight hard assets like gold and crypto to preserve purchasing power.
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September 14, 2025

Can Prediction Markets Outpace Securities Trading? With Farrokh and Carlos Domingo

The Rollup

Crypto
Key Takeaways:
  1. **Prediction markets are not a niche crypto game; they are a multi-trillion dollar industry gunning for the securities market** by financializing the world's most valuable asset: information.
  2. **True tokenization will be won on open, permissionless blockchains** that enable new market structures, not closed systems offering mere efficiency gains. Institutions like BlackRock are already betting on this "open internet" thesis.
  3. **Creator tokens are a flawed model with a built-in expiration date tied to relevance.** The smarter trade is to own the casino (the platform's token), not the individual player's chips.
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