Token Mystery!

The article questions why increasing 'tokens' (like educational attainment or LLM parameters) don't necessarily translate to expected gains (like income or intelligence). It draws a parallel to a past paradox in education.
Token Mystery!

πŸ€” Why aren't bigger models *always* better? This post explores a curious paradox similar to one seen in educational attainment – gains don't always equal progress! #AI #LLMs #Paradox #Tokens #MachineLearning


  1. The article explores the disconnect between increasing 'tokens' and expected outcomes.
  2. It references a previous 'micro-macro paradox' involving education.
  3. It suggests something is amiss in how we understand the relationship between scale and results.

Where have all the tokens gone?

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