top of page
![](https://static.wixstatic.com/media/11062b_c18db2b1461b46f2ad31bae61009fee1f000.jpg/v1/fill/w_1920,h_1080,al_c,q_90,usm_0.66_1.00_0.01,enc_avif,quality_auto/11062b_c18db2b1461b46f2ad31bae61009fee1f000.jpg)
![](https://static.wixstatic.com/media/ea5f86_fdb1b551c4d242eb927f591233474dc5~mv2.webp/v1/fill/w_250,h_250,al_c,q_30,blur_30,enc_auto/ea5f86_fdb1b551c4d242eb927f591233474dc5~mv2.webp)
![Q-STAR 2.0: Self-Evolving AI Models Are Breaking the Mold](https://static.wixstatic.com/media/ea5f86_fdb1b551c4d242eb927f591233474dc5~mv2.webp/v1/fill/w_454,h_341,al_c,q_90,enc_auto/ea5f86_fdb1b551c4d242eb927f591233474dc5~mv2.webp)
Rich Washburn
Nov 22, 20244 min read
Q-STAR 2.0: Self-Evolving AI Models Are Breaking the Mold
If you’ve been following AI’s rapid ascent, you’ve probably heard whispers about the so-called “LLM stagnation thesis” —the idea that...
21 views0 comments
bottom of page