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AI, explained.

Short guides in plain English, for people who use AI but don't follow it closely. Each takes about three minutes, and every bit of jargon has its meaning one tap away.

  1. 01What is an AI model?The difference between an AI app and the model inside it, how models learn, and why your apps change when they switch models.3 min read
  2. 02Why are there so many models?How to read model names, why labs release several sizes at once, and what the specialist models are for.3 min read
  3. 03Open or closed: what's the difference?Why some AI models can only be used through their maker while others are free for anyone to download, and what that means for you.3 min read
  4. 04How to read AI rankingsWhat benchmarks and leaderboards measure, how far to trust them, and how to use them to choose a model.3 min read
  5. 05How image, video and voice AI workHow AI turns a description into a picture, a video clip, a voice or a song, and what to watch out for when you use it.3 min read
  6. 06How trckr spots new models earlyWhere trckr looks for new AI models, why it often finds them before the announcement, and what “Unconfirmed” means.3 min read

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