A note of thanks · Scale boundary

Aster AI Labs

Aster's distributed research search is useful for understanding what massive parallel experimentation buys. We study the method and boundary without trying to reproduce its compute pattern locally.

01 · The idea

What stayed with us

Aster's distributed research search is useful for understanding what massive parallel experimentation buys. We study the method and boundary without trying to reproduce its compute pattern locally.

02 · The local translation

What we did with it

Aster's research search makes parallel experimentation itself an object of study. We use it to ask which parts of a search loop scale with more agents and which still depend on clear objectives, independent measurement, and human judgment.

03 · The boundary

Where the comparison stops

Aster's large compute pattern is outside this Mac lab. We have not reproduced its reported results; the retained value is a boundary map and ideas that may be useful only when an active target warrants them.