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      <title>The AI Apocalypse Is Already Here — Gregory Conti</title>
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      <description>A political-philosophy case against generative AI as it already exists — not another industrial revolution, but the end of the human relationship to language, capitalism, and individualism.</description>
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      <title>The Tragedy of the Cognitive Commons: How AI Could Disrupt the Regeneration of Professional Expertise</title>
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      <pubDate>Sat, 08 Aug 2026 22:44:55 -0400</pubDate>
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      <description>A conceptual paper reframing AI deskilling as a collective action problem — each organization rationally depletes the shared pool of expertise every org depends on to validate AI output.</description>
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      <title>Born Against, or Why Hobby Programming Communities Are Against LLM Usage — Michael Fogus</title>
      <link>https://intelligentartifact.com/posts/born-against-or-why-hobby-programming-communities-are-against-llm-usage/</link>
      <pubDate>Thu, 06 Aug 2026 07:00:00 -0400</pubDate>
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      <description>In hobby dev communities the process of mastery is the product — an LLM that generates the finished piece just robs you of the craft.</description>
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      <title>LLMs Can&#39;t Jump — Tom Zahavy</title>
      <link>https://intelligentartifact.com/posts/llms-cant-jump/</link>
      <pubDate>Wed, 05 Aug 2026 15:30:00 -0400</pubDate>
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      <description>An ICML position paper argues LLMs have mastered induction and deduction but structurally lack abduction — the creative leap that generates new axioms.</description>
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      <title>LLMs Reward Expertise — Sean Goedecke</title>
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      <pubDate>Mon, 03 Aug 2026 21:00:00 -0400</pubDate>
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      <description>Domain knowledge is the real prompting skill — the human, not the model, is the bottleneck as AI gets stronger.</description>
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      <title>How to Build Agents That Answer Data Questions — Shreya Shankar</title>
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      <pubDate>Fri, 31 Jul 2026 21:30:38 +0000</pubDate>
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      <description>The DAB benchmark for data agents: why text-to-SQL isn&amp;#39;t enough, the four real-world data challenges (messy joins, multi-database, free text, domain knowledge), and why frontier agents only pass 57% of the time.</description>
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      <title>How To Choose The Right OCR Model — Joe Barrow</title>
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      <pubDate>Fri, 24 Jul 2026 21:30:07 +0000</pubDate>
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      <description>A practical framework for picking an OCR model: text-blocks vs document structure, API vs self-host, and why you should test on your own data instead of trusting benchmarks.</description>
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      <title>Claude Design is Insanely Easy (even for beginners) — Jeff Su</title>
      <link>https://intelligentartifact.com/posts/claude-design-easy-for-beginners/</link>
      <pubDate>Tue, 21 Jul 2026 06:00:15 -0700</pubDate>
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      <description>The anti-generic Claude Design workflow: prepare three files (design.md → design system → template) so every deck starts on-brand and every feedback compounds into future designs.</description>
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      <title>A Complete Guide to the New Claude Design — Futurepedia</title>
      <link>https://intelligentartifact.com/posts/claude-design-complete-guide/</link>
      <pubDate>Sun, 19 Jul 2026 11:45:51 -0700</pubDate>
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      <description>Full Claude Design platform walkthrough: expanded templates, bundled usage, design systems for on-brand output, and a motion-graphics-for-videos use case that is genuinely surprising.</description>
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      <title>How to Automate AI Evals (Correctly) — Shreya Shankar</title>
      <link>https://intelligentartifact.com/posts/how-to-automate-ai-evals-correctly/</link>
      <pubDate>Fri, 03 Jul 2026 21:30:24 +0000</pubDate>
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      <description>Part 1 of Hamel and Shreya&amp;#39;s AI product engineering series: the analyze → measure → improve eval lifecycle, and three mistakes to avoid when using AI to automate evals.</description>
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