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    <title>Between Tokens</title>
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    <description>Between Tokens rebuilds the biggest questions in AI from first principles, following every assumption, calculation, and decision to a working answer.</description>
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      <title>The residual stream is the model</title>
      <link>https://betweentokens.com/questions/train-gpt-4/the-block/</link>
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      <category>You work at OpenAI. How would you train GPT-4?</category>
      <pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate>
      <description>Every explanation of transformers spends itself on attention, which is a third of the model. The other two thirds are MLPs — and the thing they all write into is where the model actually lives.
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      <title>Attention is a lookup table you learn</title>
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      <category>You work at OpenAI. How would you train GPT-4?</category>
      <pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate>
      <description>Before any of the scale questions, the mechanism. Attention is not &quot;the model focusing&quot; — it is a differentiable dictionary, and once you see it that way every design choice downstream stops being arbitrary.
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