#ai efficiency
3 stories

Bonsai 2 27B: 9x smaller, nearly full power
PrismML's new compressed model runs advanced AI on local devices without meaningful capability loss.
Prismml · 2m

New method shrinks AI models below the theoretical limit
Researchers break through a fundamental barrier in ternary AI compression by exploiting how weights actually distribute.
arXiv · 1m · 5 views

Arcee AI hits $1B valuation after $20M training bet
A startup trained four open-weight AI models for a fraction of what experts said was necessary, then raised $150M+ at a billion-dollar valuation.
Fortune · 2m