The main benefit of hearing about tokenmaxxing experiments and token leaderboards seems to be an inspirational/exploratory one - testing the limit of these models and discovering new workflows
2:38 AM · Jun 1, 2026 · 1.7K Views
Google DeepMind's Haydn Belfield argues 'tokenmaxxing' experiments are exploratory tools to map model limits, not practical solutions
Miles Brundage endorsed the commentary for evaluating model development.
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Miles Brundage@Miles_Brundage
@HaydnBelfield good reference
Haydn Belfield@HaydnBelfield
The main benefit of hearing about tokenmaxxing experiments and token leaderboards seems to be an inspirational/exploratory one - testing the limit of these models and discovering new workflows
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