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      <title>Bjarne Stroustrup on C&#43;&#43;: Bell Labs, Negative-Overhead Abstraction, and the Mistakes He&#39;d Undo</title>
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      <description>Notes from a two-hour interview with the creator of C&#43;&#43; — what Bell Labs was actually like, why he insists abstraction can have negative overhead, the politics of memory-safety profiles, and the mistakes he wishes he&amp;#39;d fought harder against.</description>
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      <title>Co-Scientist: DeepMind&#39;s Multi-Agent Engine for Novel Scientific Hypotheses</title>
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      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>DeepMind&amp;#39;s six-minute overview of Co-Scientist — a multi-agent system that reads across the scientific literature, generates and ranks hypotheses, and gives working scientists an on-demand team of expert collaborators.</description>
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      <title>Inside Jane Street&#39;s GP300 Training Data Center</title>
      <link>https://sparsenotes.com/posts/2026/05/jane-street-ai-datacenter/</link>
      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Notes on Dwarkesh Patel&amp;#39;s tour of Jane Street&amp;#39;s Texas training cluster with Ron Minsky and Daniel Pontecorvo — 140 kW liquid-cooled GB300 racks, retrofit chillers, leak ropes, bus-bar power balancing, 8,000 km of fiber, and why opportunity cost dominates.</description>
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      <title>Let&#39;s Build GPT From Scratch: Karpathy&#39;s Classic, Re-read in 2026</title>
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      <description>Notes on Andrej Karpathy&amp;#39;s 2023 classic &amp;#39;Let&amp;#39;s build GPT: from scratch, in code, spelled out.&amp;#39; — tokenization, the bigram baseline, the math of self-attention, multi-head, residual &#43; layernorm, and how the same ~200 lines scale to a real GPT.</description>
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      <title>Now More Than Ever: Building Reliable Software in the Age of Agents</title>
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      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Notes on Ron Minsky&amp;#39;s talk on how Jane Street&amp;#39;s long-standing bets — strong type systems, expect tests, library-level deterministic simulation, and serious code review — get more important, not less, in an agentic world, plus why the firm is suddenly interested in formal methods.</description>
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      <title>Pi to Pi: Two-Way Agent Orchestration with the Pi Coding Agent</title>
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      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Notes on IndyDevDan&amp;#39;s walkthrough of peer-to-peer, bidirectional agent-to-agent communication built on the Pi coding agent harness — what changes when you flatten the orchestrator/worker hierarchy, when to use it, and the four-tool primitive that makes it work.</description>
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      <title>The Agent Development Lifecycle: Build, Test, Deploy, Monitor</title>
      <link>https://sparsenotes.com/posts/2026/05/agent-development-lifecycle/</link>
      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Notes on Harrison Chase and Ankush Gola&amp;#39;s Interrupt 2026 keynote — why agent development needs its own lifecycle, and the LangChain stack built around it (Deep Agents 0.6, LangSmith Sandboxes, Context Hub, SmithDB, LLM Gateway, LangSmith Engine).</description>
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      <title>Transformer vs Post-Transformer: A Heavyweight Debate</title>
      <link>https://sparsenotes.com/posts/2026/05/transformer-vs-post-transformer/</link>
      <pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate>
      
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      <description>Notes from the Pathway-hosted &amp;#39;Transformer vs Post-Transformer&amp;#39; panel — Łukasz Kaiser defending attention, with Adrian Kosowski (BDH/Pathway), Matthias Lechner (Liquid AI) and Llion Jones (Sakana AI) arguing for what comes next. Scaling laws, latent reasoning, hardware lock-in, benchmarks, and whether transformers themselves will discover their successor.</description>
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