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      <title>Classic of the Week: Inventing on Principle — Bret Victor</title>
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      <description>Bret Victor&amp;#39;s 2012 CUSEC talk argues that creators need an immediate connection to what they create, then reframes technical work as a form of activism.</description>
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      <title>Reliability Lessons From SQLite</title>
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      <description>Richard Hipp explains how avionics-grade MC/DC test coverage, fault injection, and simulated power loss let three committers maintain the most widely deployed software on Earth.</description>
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      <title>Stanford CS329A: Self-Improving AI Agents — Course Overview</title>
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      <description>Akanksha Chowdhery and Azalia Mirhoseini trace the arc from pre-training scaling laws through inference-time scaling to agentic workflows, and explain why verification is the bottleneck for self-improvement.</description>
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      <title>Classic of the Week — Dynamo: Amazon&#39;s Highly Available Key-Value Store</title>
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      <pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate>
      
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      <description>A Papers We Love Tokyo walkthrough of the 2007 Dynamo paper — consistent hashing, virtual nodes, sloppy quorums, vector clocks, Merkle trees — and how much modern DynamoDB quietly abandoned.</description>
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      <title>Scaling to Long Horizons: What Galactica Taught Us About RL</title>
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      <pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate>
      
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      <description>Ross Taylor and Chengxi Taylor of General Reasoning trace the line from Galactica&amp;#39;s failure to the long-horizon RL frontier — and why compaction, value models, and open-ended environments are the next bottleneck.</description>
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      <title>The Misaligned Incentives Behind AI Coding Agents</title>
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      <pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate>
      
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      <description>Cognition president Russell Kaplan on why &amp;#39;best model&amp;#39; is now the wrong question, how Frontier Code measures mergeability instead of correctness, and why Cognition underwrote a $10M productivity guarantee.</description>
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