Open‑weight AI models are starting to carve out their own lane, especially outside of big tech. Stuff like LLaMA and Mistral is already running on‑prem or in private clouds, where companies care less about hitting state‑of‑the‑art benchmarks and more about things like cost, control, and being able to fine‑tune for their own workflows. That trade‑off looks pretty different compared to frontier models. For a lot of real‑world use cases - internal tools, niche assistants, or data‑sensitive setups, having the actual weights matters more than squeezing out the last fraction of benchmark performance. As more people get access to the actual model weights, it raises a bigger question: does this shift some of the power and influence in AI away from just a handful of big players? submitted by /u/simsirisic
Originally posted by u/simsirisic on r/ArtificialInteligence