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The original was posted on /r/singularity by /u/Notrx73 on 2026-08-18 00:39:30+00:00.

1. Are scaling laws dead ? If a model this small is so intelligent, then what's the key to intelligence ?

2. Are the majority of today's biggest frontier models parameters just "fluff" that don't help a model reason, or don't hold knowledge, and are waiting to be compressed ?

3. how did they do it ? Is it distillation from a internal model, or is it because smaller models are faster to train with RL ?