Comment by adventured
15 days ago
With 3.8 Flash on High I noticed a huge upgrade in intricate discussions related to physics, material properties, real-world application, and so on. Things that I've had a hard time getting LLMs to be able to discuss accurately. They often discuss textbook knowledge fine but can't apply it properly or can't think outside the box at all. 3.8 High understands applied material sciences in a way that GPT Astra flunks at often. I asked Gemini to explain that result, and it said basically that GPT was merely book smart in a classical sense and that it was likely undertrained on more obscure material.
I have been rather impressed with the depth and breadth of knowledge in a Q8 of 3.8-flash-next which fits in under 200GB RAM, running, with a 16384MB extra cache size.
I've noticed the same thing with 3.8 Flash vs Opus for aero model generation.
Any examples ?