ldraw-nova: AI agents build LEGO models by writing Python geometry
In ldraw-nova, models write a plan and a Python generator instead of raw coordinates, but nothing checks physics or stability.
Nemotron 3 Diarization loses almost no accuracy at low latency, but its error roughly triples past four speakers, so test on your own audio.

Every meeting transcript tool hits the same wall: who said what.
NVIDIA released Nemotron 3 Diarization on Hugging Face yesterday. Open weights, 100M parameters, up to eight speakers, commercial use allowed.
The demo shows eight voices talking at once. The model card has the more useful number.
On the DIHARD III benchmark, shrinking the input buffer from 30 seconds to a third of a second adds under one point of error. Going from four speakers to five or more roughly triples it, from about 9% to about 28%.
Before you wire it into a product:
Latency got cheap. Crowded rooms didn't.