Part 7/7:
This research, along with Open AI's recent 01 model release, demonstrates that by optimizing how and where computation is used, AI models can achieve high performance without needing to be excessively large. This allows for more efficient models that perform at or above the level of much bigger ones by being strategic about their computational power. The future of AI seems to be shifting away from the "scale is all you need" paradigm, towards more efficient ways to get smarter models.