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GLM

An open-weight AI model with no vision component.

z.ai1 source1 tips
At a glanceAnish Acharya learns each model by shipping on one low-stakes project
  1. 1Pick a low-stakes projectUse it as a chassis
  2. 2Add each new modelKeep building on the same project
  3. 3Make something with itTreat the model as a tool
  4. 4Intuition builds"That's how I build my intuition"

From Anish Acharya of a16z

What was said about GLM

  • Treat GLM as a precise, neurotic specialist and learn it by shipping. Anish Acharya of a16z describes GLM, an open-weight model with no vision, as "like this neurotic PhD you put in the corner": precise and well suited to product work. He builds intuition for it the way he does for every model, by making something with it.

    He contrasts it with Qwen, which he finds creative and strong on long-horizon tasks (Qwen ran 4 to 5 hours to produce a 5-minute documentary, with MiniMax for video and 11 for audio). His method is to pick a low-stakes project as a chassis, keep adding to it with each new model, and treat the model as a tool rather than a goal. Quote: "I just make something with every model, and that's how I build my intuition."

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