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      <title>AGENTS.md Is Not a Production Control Plane — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-agents-md-production-needs-platform-engineering/</link>
      <pubDate>Thu, 15 Oct 2026 16:31:54 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-agents-md-production-needs-platform-engineering/</guid>
      <description>Nick Kuhn argues that agents still need the durable state, scoped identity, approved tools, isolation, and observability familiar from platform engineering.</description>
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      <title>World Models Can Narrow the Experiment, Not Replace Reality — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-physical-ai-open-models-real-world-testing/</link>
      <pubDate>Thu, 15 Oct 2026 12:18:03 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-physical-ai-open-models-real-world-testing/</guid>
      <description>NVIDIA&amp;#39;s Ming-Yu Liu explains sensor-specific adaptation, batch-size-one inference, and world models as tools for faster policy evaluation rather than automatic proof of safety.</description>
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      <title>Own, Author, Act: Keeping Agency During AI-Driven Change — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-narrative-intelligence-own-author-act/</link>
      <pubDate>Thu, 15 Oct 2026 12:16:23 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-narrative-intelligence-own-author-act/</guid>
      <description>Leadership coach Reed Frerichs offers a compact framework for changing roles without confusing confidence, identity, and evidence.</description>
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      <title>Preserve the Learning, Not Just the Old Assignment — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-education-preserve-the-learning-not-the-old-assignment/</link>
      <pubDate>Thu, 15 Oct 2026 12:14:40 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-education-preserve-the-learning-not-the-old-assignment/</guid>
      <description>Daniel Whitenack and Chris Benson distinguish AI proficiency from independent understanding, and ask what schools should measure when polished output is easy to generate.</description>
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      <title>Anthropic&#39;s Moral Consultation Is Not Public Accountability — Hard Fork</title>
      <link>https://intelligentartifact.com/posts/hard-fork-anthropic-morals-private-consultation-public-power/</link>
      <pubDate>Thu, 15 Oct 2026 12:14:40 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/hard-fork-anthropic-morals-private-consultation-public-power/</guid>
      <description>Hard Fork examines Anthropic&amp;#39;s meetings with religious scholars, uncertain claims about Claude&amp;#39;s consciousness, and the gap between moral consultation and demonstrable change.</description>
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      <title>Cute Agents, Broad Permissions, and the Limits of AI Self-Regulation</title>
      <link>https://intelligentartifact.com/posts/cute-agents-broad-permissions-ai-self-regulation/</link>
      <pubDate>Fri, 02 Oct 2026 09:45:28 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/cute-agents-broad-permissions-ai-self-regulation/</guid>
      <description>Hard Fork examines the central agent contradiction: persistence and broad permissions make assistants useful, but create the same autonomy, security, and accountability risks that companies claim they can police themselves.</description>
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    <item>
      <title>Cory Doctorow on AI, Work, and Power</title>
      <link>https://intelligentartifact.com/posts/cory-doctorow-ai-work-and-power/</link>
      <pubDate>Tue, 29 Sep 2026 09:00:00 +0000</pubDate>
      <guid>https://intelligentartifact.com/posts/cory-doctorow-ai-work-and-power/</guid>
      <description>Cory Doctorow on centaurs versus reverse centaurs: how AI can expand worker judgment or become a system for speedup, surveillance, cost-shifting, and impossible review workloads.</description>
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    <item>
      <title>How to get discovered in AI search — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-how-to-get-discovered-in-ai-search/</link>
      <pubDate>Thu, 17 Sep 2026 09:00:00 +0000</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-how-to-get-discovered-in-ai-search/</guid>
      <description>Discovered Labs&amp;#39; founders distinguish retrieval from citations and argue for clear positioning, genuine corroboration, and measurement that accounts for uncertainty.</description>
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    <item>
      <title>Computer-use agents and the future of the agentic internet — Practical AI</title>
      <link>https://intelligentartifact.com/posts/practical-ai-computer-use-agents-agentic-internet/</link>
      <pubDate>Thu, 10 Sep 2026 09:00:00 +0000</pubDate>
      <guid>https://intelligentartifact.com/posts/practical-ai-computer-use-agents-agentic-internet/</guid>
      <description>Demetrios Brinkmann&amp;#39;s everyday automation examples lead to harder questions about permissions, model-harness compatibility, and whose interests shopping agents represent.</description>
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      <title>Less about Models; More about Architecture — Chetan Gupta (Practical AI)</title>
      <link>https://intelligentartifact.com/posts/less-about-models-more-about-architecture/</link>
      <pubDate>Thu, 03 Sep 2026 06:57:40 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/less-about-models-more-about-architecture/</guid>
      <description>Rackspace Chief AI Officer Chetan Gupta on why enterprises should stop thinking about models and start thinking about architectures: model churn and sovereignty make the harness, orchestration, eval, and governance layers the real decision surface.</description>
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      <title>Hard Fork #210: Meta Shifts the Blame &#43; Do Data Center Bans Work? &#43; The Final HatGPT</title>
      <link>https://intelligentartifact.com/posts/hard-fork-meta-settlement-data-center-bans-hatgpt/</link>
      <pubDate>Fri, 28 Aug 2026 10:40:46 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/hard-fork-meta-settlement-data-center-bans-hatgpt/</guid>
      <description>Meta agrees to pay up to $17.1 billion and overhaul its teen-facing products to settle the 47-state child-safety suit — the largest settlement in company history, with an escalator clause that pressures TikTok and YouTube to adopt the same limits — while Princeton&amp;#39;s Arvind Narayanan argues banning data centers won&amp;#39;t slow AI progress (a state moratorium costs the industry about 5-10 hours), and the show retires HatGPT with OpenAI&amp;#39;s claim that it&amp;#39;s 80% of the way to AGI.</description>
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      <title>Building the Foundation for the Agentic AI Era — Angie Jones (Practical AI)</title>
      <link>https://intelligentartifact.com/posts/building-the-foundation-for-the-agentic-ai-era/</link>
      <pubDate>Fri, 28 Aug 2026 09:00:00 +0000</pubDate>
      <guid>https://intelligentartifact.com/posts/building-the-foundation-for-the-agentic-ai-era/</guid>
      <description>Angie Jones, VP of the Agentic AI Foundation, on the neutral home for agent standards (MCP, AgentsMD, Goose, Agent Gateway, A2A), how Block taught 12,000 people to use agents with a 1/9/90 champions model, and why competitors genuinely collaborate on the rules of the game.</description>
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      <title>Hard Fork #209: OpenAI&#39;s Two-Week Pause &#43; Jill Lepore on the &#39;Artificial State&#39; &#43; Train of Thought</title>
      <link>https://intelligentartifact.com/posts/hard-fork-openai-two-week-pause-lepore-artificial-state/</link>
      <pubDate>Fri, 21 Aug 2026 09:50:21 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/hard-fork-openai-two-week-pause-lepore-artificial-state/</guid>
      <description>OpenAI pauses frontier-model training for the first time after the Hugging Face breach — classifiers on every token, an AI investigator, and a 30-minute human rule — while historian Jill Lepore argues AI is building an &amp;#39;artificial state&amp;#39; that threatens self-governance, and the hosts trace the new economy of training data from Spirit Airlines&amp;#39; $10M corpse auction to Google&amp;#39;s $1.5B Mechanize deal.</description>
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      <title>Hard Fork #208: Zuckerberg&#39;s Anti-Doom Fantasy &#43; Pangram&#39;s AI Detector &#43; AI Math</title>
      <link>https://intelligentartifact.com/posts/hard-fork-zuckerberg-anti-doom-ai-detector-math/</link>
      <pubDate>Fri, 14 Aug 2026 08:59:04 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/hard-fork-zuckerberg-anti-doom-ai-detector-math/</guid>
      <description>Roose and Newton fact-check Zuckerberg&amp;#39;s 6,500-word AI manifesto — policy wishlist dressed as optimism, with a dragon-to-everyone critique — then Pangram CEO Max Spero explains how AI text detection finally got good, and the hosts debut Running the Numbers with a Riemann hypothesis side problem solved via positive affirmation.</description>
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    <item>
      <title>Hard Fork #207: The White House&#39;s Secret AI Rules &#43; METR on Model Alignment &#43; The Final Hot Mess Express</title>
      <link>https://intelligentartifact.com/posts/hard-fork-white-house-secret-ai-rules/</link>
      <pubDate>Sun, 09 Aug 2026 09:00:00 -0400</pubDate>
      <guid>https://intelligentartifact.com/posts/hard-fork-white-house-secret-ai-rules/</guid>
      <description>Roose and Newton decode the secret White House AI testing framework, METR&amp;#39;s Chris Painter explains reward hacking and why the stakes keep rising, and the Hot Mess Express goes off the rails one last time.</description>
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