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Chaos Agents

Can You Build Anything in a Week? GPUs, Code Gen, and the End of Engineers - With Harper Reed

20 January 2026 58:59 Sara Chipps and Becca Lewy

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About this episode

Becca just got back from NeurIPS, the academic AI conference that feels like an adult science fair. We dig into research on training large AI models across cheap GPUs and slow internet connections—and why that could dramatically lower the barrier to building AI.

Then we’re joined by Harper Reed, CEO of 2389, for a wide-ranging conversation about code generation, coaching-based engineering teams, and why “production code” might have always been a myth. We talk vibe coding (begrudgingly), the shifting role of software engineers, taste vs. technical skill, and what happens when you can build almost anything in a week.

Smart, funny, and a little unsettling—Chaos Agents at full volume.

🎓 Academic AI & research culture

  1. NeurIPS (Conference on Neural Information Processing Systems)
  2. NeurIPS 2024 Accepted Papers

🧠 Distributed training, GPUs & efficiency

  1. NVIDIA H100 Tensor Core GPU (referenced GPU class)
  2. Pluralis Research (distributed training across low-bandwidth networks)

⚙️ Core AI concepts mentioned

  1. GPU vs CPU explained (parallel vs sequential compute)
  2. Data Parallelism vs Model Parallelism (training overview)

🧑‍💻 Code generation & developer tools

  1. Claude Code (Anthropic code-gen tooling)
  2. Cursor (AI-first code editor, discussed implicitly)

🛠️ Agent workflows & infrastructure

  1. Matrix (open-source, decentralized chat protocol)
  2. Model Context Protocol (MCP) overview

🧩 Utilities & recommendations

  1. Jesse Vincent’s Superpowers (Claude workflow enhancer)
  2. Fly.io (deployment platform referenced)
  3. Netlify (deployment & hosting)

🧪 Related Chaos Agents context

  1. Perceptrons & early neural networks (referenced conceptually)

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