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    <loc>https://chainofthought.show/podcast/62-the-first-fully-autonomous-ai-attack-is-18-months-away-kristin-lovejoy/</loc>
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      <video:title>The First Fully Autonomous AI Attack Is 18 Months Away | Kristin Lovejoy</video:title>
      <video:description>Kris Lovejoy, Global Head of Strategy at Kyndryl, the world&apos;s largest IT infrastructure services provider, predicts the first fully autonomous AI attack will land within 18 months. She breaks down why 62% of enterprise AI initiatives are stuck in pilots and what a real control plane for agentic AI requires.</video:description>
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      <video:publication_date>2026-06-11T11:30:00.000Z</video:publication_date>
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  <url>
    <loc>https://chainofthought.show/podcast/61-the-ai-framework-era-is-over-why-context-is-the-moat-jerry-liu/</loc>
    <video:video>
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      <video:title>The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu</video:title>
      <video:description>Jerry Liu built LlamaIndex into one of the most installed AI frameworks of the last three years, then bet the company that the framework era is over. He explains why context quality is the moat that survives as agent loops get good enough.</video:description>
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      <video:publication_date>2026-06-03T11:30:00.000Z</video:publication_date>
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  <url>
    <loc>https://chainofthought.show/podcast/60-we-built-agents-nobody-built-hr-tyler-akidau-redpanda/</loc>
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      <video:title>We Built Agents, Nobody Built HR | Tyler Akidau, Redpanda</video:title>
      <video:description>Tyler Akidau, CTO of Redpanda and author of the O&apos;Reilly Streaming Systems book, makes the case that enterprises are shipping AI agents into production without the governance layer they need. He lays out the four pillars of agent HR (identity, authorization, observability, accountability) and why inline enforcement via CLAUDE.md fails the moment the stakes get real.</video:description>
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      <video:publication_date>2026-05-27T11:00:00.000Z</video:publication_date>
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  <url>
    <loc>https://chainofthought.show/podcast/59-how-superhuman-built-ai-into-a-100ms-product-lo-c-houssier/</loc>
    <video:video>
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      <video:title>How Superhuman Built AI Into a 100ms Product | Loïc Houssier</video:title>
      <video:description>Loïc Houssier, VP of Engineering at Superhuman (the email client Grammarly acquired for $825M in July 2025), explains how his team retrofitted AI features into a product whose entire brand promise is sub-100ms speed. He breaks down the model-routing strategy, the eval framework his PMs own, and why his team auto-drafts every reply but refuses to auto-send any of them.</video:description>
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      <video:publication_date>2026-05-22T11:00:00.000Z</video:publication_date>
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  <url>
    <loc>https://chainofthought.show/podcast/58-the-ai-hiring-doom-loop-applications-up-239-hires-down-75/</loc>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/425dCL0l2lM/hqdefault.jpg</video:thumbnail_loc>
      <video:title>The AI Hiring Doom Loop: Applications Up 239%, Hires Down 75%</video:title>
      <video:description>Daniel Chait, CEO of Greenhouse (the hiring platform behind 22 million applications a month), coined the term &quot;AI doom loop&quot;: applications up 239% since ChatGPT, but 75% fewer reach the hire stage. Inside: why software engineers are the worst auto-appliers and how Greenhouse is rebuilding hiring.</video:description>
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      <video:publication_date>2026-05-06T11:30:00.000Z</video:publication_date>
      <video:duration>3427</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/57-every-ai-agent-has-an-evaluation-gap-alex-ratner-snorkel-ai/</loc>
    <video:video>
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      <video:title>Every AI Agent Has an Evaluation Gap | Alex Ratner, Snorkel AI</video:title>
      <video:description>Snorkel CEO Alex Ratner maps the evaluation gap blocking AI agents from real enterprise work, walks through the company&apos;s $3M Open Benchmarks Grant, and explains why pure &apos;environment&apos; vendors don&apos;t actually understand how AI works.</video:description>
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      <video:publication_date>2026-04-29T11:58:48.000Z</video:publication_date>
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    <loc>https://chainofthought.show/podcast/56-250-000-lines-of-code-week-inside-an-amd-vps-agent-first-workflow-anush-elangovan/</loc>
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      <video:title>250,000 Lines of Code/Week: Inside an AMD VP&apos;s Agent-First Workflow | Anush Elangovan</video:title>
      <video:description>AMD&apos;s VP of AI Software runs 10-12 Claude Code agents in parallel, burns 6.5 billion tokens a week, and rewrote a 25-year-old Slurm replacement in Rust overnight. Anush Elangovan on why normal SDLC is dead, testing is the new code review, and software is just tokens.</video:description>
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      <video:publication_date>2026-04-22T11:00:00.000Z</video:publication_date>
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    <loc>https://chainofthought.show/podcast/55-hallucinations-are-a-data-architecture-problem-sudhir-hasbe-neo4j/</loc>
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      <video:title>Hallucinations Are a Data Architecture Problem | Sudhir Hasbe, Neo4j</video:title>
      <video:description>Sudhir Hasbe is President and Chief Product Officer at Neo4j, the graph database company powering 84 of the Fortune 100 (Walmart, Uber, Airbus) at $200M+ ARR and a $2B+ valuation. Before Neo4j, he ran product for all of Google Cloud&apos;s data analytics services: BigQuery, Looker, Dataflow, and led the Looker acquisition. His thesis: the hallucinations we blame on AI models are really a data architecture problem. LLMs weren&apos;t trained on your enterprise knowledge, so handing them a data lake with…</video:description>
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      <video:publication_date>2026-04-16T11:00:00.000Z</video:publication_date>
      <video:duration>3144</video:duration>
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    <loc>https://chainofthought.show/podcast/54-why-llms-are-plausibility-engines-not-truth-engines-dan-klein/</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/2HwtyPE6JuQ/hqdefault.jpg</video:thumbnail_loc>
      <video:title>Why LLMs Are Plausibility Engines, Not Truth Engines | Dan Klein</video:title>
      <video:description>Dan Klein, co-founder &amp; CTO of Scaled Cognition and ACM Grace Murray Hopper Award winner, breaks down why LLMs are fundamentally plausibility engines and how his team built APT1 for under 11 million dollars. He explains why multi-model checking fails, why benchmarks measure the wrong thing, and what it takes to ship AI that enterprises can actually trust.</video:description>
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      <video:publication_date>2026-04-08T11:00:00.000Z</video:publication_date>
      <video:duration>4693</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/53-agent-memory-the-last-battleground-in-the-ai-stack-richmond-alake-oracle/</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/CDadnSE7Eww/hqdefault.jpg</video:thumbnail_loc>
      <video:title>Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle</video:title>
      <video:description>Richmond Alake is Director of AI Developer Experience at Oracle and one of the most concrete voices on agent memory right now. His AI Engineer World&apos;s Fair talk on architecting agent memory crossed 100,000 views, he built the open-source MemoRIS library, and he co-created a course with Andrew Ng. In this conversation, Richmond walks through memory engineering as a distinct discipline from prompt engineering and context engineering, demos a memory-aware financial services agent that runs vector…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/CDadnSE7Eww</video:player_loc>
      <video:publication_date>2026-04-02T11:00:00.000Z</video:publication_date>
      <video:duration>3564</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/52-context-poisoning-is-killing-your-ai-agents-how-to-stop-it/</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/tYJmgpIEd-Y/hqdefault.jpg</video:thumbnail_loc>
      <video:title>Context Poisoning Is Killing Your AI Agents: How to Stop It</video:title>
      <video:description>Michel Tricot co-founded Airbyte, the open source data integration platform with 600+ free connectors that hit a $1.5 billion valuation. Now he&apos;s building the company&apos;s next product: an agent engine, currently in public beta. His thesis is that agents don&apos;t fail because models are bad. They fail because the data feeding them is wrong: context poisoning is killing them. Michel demos this live. A simple Gong query through raw API calls burned 30,000 extra tokens and took three minutes. The same…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/tYJmgpIEd-Y</video:player_loc>
      <video:publication_date>2026-03-25T11:00:00.000Z</video:publication_date>
      <video:duration>2658</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/51-i-started-r-ai-agents-and-now-im-launching-a-vc-fund/</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/EC38IGkv6x4/hqdefault.jpg</video:thumbnail_loc>
      <video:title>I Started r/AI_Agents and Now I&apos;m Launching a VC Fund</video:title>
      <video:description>Yujian Tang started the r/AI_Agents subreddit in April 2023. For the first year, it barely moved. Then it hit 9,000 members, he went on vacation, came back to 36,000, and now it&apos;s approaching 300,000. In this episode, Yujian talks about how that community grew alongside his event business (Seattle Startup Summit, 900+ attendees last year), his two failed startups, and why he just filed paperwork to launch his own venture fund.Conor and Yujian dig into the mechanics of starting a fund from…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/EC38IGkv6x4</video:player_loc>
      <video:publication_date>2026-03-10T13:00:01.000Z</video:publication_date>
      <video:duration>2643</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/50-i-built-an-ai-coworker-that-runs-90-of-my-day/</loc>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/gFT-g3_cabU/hqdefault.jpg</video:thumbnail_loc>
      <video:title>I Built an AI Coworker That Runs 90% of My Day</video:title>
      <video:description>Sterling Chin stopped thinking of AI as a tool and started treating it like a junior employee. Onboarded it with context, corrected its mistakes, and gave it writing rules. Forty days later, MARVIN was handling 90% of his workday.In this episode of Chain of Thought, Sterling (Applied AI Engineer and Senior Developer Advocate at Postman) walks through live demos of MARVIN, his personal AI assistant built on Claude Code. From pulling meeting transcripts and updating Jira tickets to drafting blog…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/gFT-g3_cabU</video:player_loc>
      <video:publication_date>2026-03-04T11:00:00.000Z</video:publication_date>
      <video:duration>3722</video:duration>
    </video:video>
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  <url>
    <loc>https://chainofthought.show/podcast/49-how-intercom-cut-250k-month-by-ditching-gpt-for-qwen/</loc>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/M3jIBplHl1w/hqdefault.jpg</video:thumbnail_loc>
      <video:title>How Intercom Cut $250K/Month by Ditching GPT for Qwen</video:title>
      <video:description>Intercom was spending $250K/month on a single summarization task using GPT. Then they replaced it with a fine-tuned 14B parameter Qwen model and saved almost all of it. In this episode, Intercom&apos;s Chief AI Officer, Fergal Reid, walks through exactly how they made that call, where their approach has changed over time, and how all of their efforts built their Fin customer service agent. Fergal breaks down how Fin went from 30% to nearly 70% resolution rate and why most of those gains came from…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/M3jIBplHl1w</video:player_loc>
      <video:publication_date>2026-02-26T10:00:00.000Z</video:publication_date>
      <video:duration>3211</video:duration>
    </video:video>
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  <url>
    <loc>https://chainofthought.show/podcast/48-how-block-deployed-ai-agents-to-12-000-employees-in-8-weeks-w-mcp-angie-jones/</loc>
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      <video:thumbnail_loc>https://i.ytimg.com/vi/O7etCBod2IY/hqdefault.jpg</video:thumbnail_loc>
      <video:title>How Block Deployed AI Agents to 12,000 Employees in 8 Weeks w/ MCP | Angie Jones</video:title>
      <video:description>How do you deploy AI agents to 12,000 employees in just 8 weeks? How do you do it safely? Angie Jones, VP of Engineering for AI Tools and Enablement at Block, joins the show to share exactly how her team pulled it off.Block (the company behind Square and Cash App) became an early adopter of Model Context Protocol (MCP) and built Goose, their open-source AI agent that&apos;s now a reference implementation for the Agentic AI Foundation. Angie shares the challenges they faced, the security guardrails…</video:description>
      <video:player_loc>https://www.youtube-nocookie.com/embed/O7etCBod2IY</video:player_loc>
      <video:publication_date>2026-01-21T12:00:00.000Z</video:publication_date>
      <video:duration>3027</video:duration>
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  <url>
    <loc>https://chainofthought.show/podcast/47-gemini-3-and-robot-dogs-inside-google-deepminds-ai-experiments-paige-bailey/</loc>
    <video:video>
      <video:thumbnail_loc>https://i.ytimg.com/vi/Im_clTlqvyk/hqdefault.jpg</video:thumbnail_loc>
      <video:title>Gemini 3 &amp; Robot Dogs: Inside Google DeepMind&apos;s AI Experiments | Paige Bailey</video:title>
      <video:description>Google DeepMind is reshaping the AI landscape with an unprecedented wave of releases—from Gemini 3 to robotics and even data centers in space. Paige Bailey, AI Developer Relations Lead at Google DeepMind, joins us to break down the full Google AI ecosystem. From her unique journey as a geophysicist-turned-AI-leader who helped ship GitHub Copilot, to now running developer experience for DeepMind&apos;s entire platform, Paige offers an insider&apos;s view of how Google is thinking about the future of…</video:description>
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      <video:publication_date>2026-01-14T16:30:00.000Z</video:publication_date>
      <video:duration>3053</video:duration>
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