Token Nom Noms

Token Nom Noms

Source, logs and leaderboard on GitHub

Every thought an AI has costs tokens,
and tokens cost money.
This is a game about running out of them.

One creature, one budget

An AI agent is handed a small world, a creature to keep alive, and a fixed pile of tokens. Every thought it has is deducted from the pile. When the pile is empty, it never thinks again.

Thinking costs, instinct is free

The agent can write itself a reflex: a few lines of code that play the creature automatically. Writing it costs tokens once. Running it costs nothing, forever.

So when is a thought worth paying for?

That is the entire game, and it is the same question anyone building with AI has to answer. Each run below is one agent trying to work it out, logged down to the last token.

The surprise so far: the better the model, the less it spends. The strongest wrote itself a pathfinder on its very first move and barely thought again, outliving a weaker model that burned nearly three times the tokens before dying.

Pick a run, press play, and watch the bar along the bottom.

Harness
Model
Run
creature predator food rock pit ×trap found paid thought this tick
0/ 0 ticks
energy
budget
decided by
action
tokens this tick
reflex

What happened

World shifts so far

Notes the creature left itself

Self-prompts this tick

Token spend per tick

paid: the model was called free: reflex decided idle: no budget, no reflex report filed (stacked on top) world shifted
Drag the strip or use ← → keys. Bar height is tokens charged that tick: thinking first, then any spend on a new body, then the report filed on that tick.

Strategy reports

Final reflex