AI should not be centralized and should be distributed. There can be no 1 provider to serve all of our needs. We would require both Open weights and Closed weights models for a lot of our use cases.

Open weights models can be leveraged to optimize the cost of Closed weights models. Open weights models can be leverage to defend cyberattacks as HF has shown. Closed weights models can too act as a better cyberattack defender provided separate subscription exists for those.

More efforts are required on LLM distillation for several edge cases. LLM weights should be optimized and compressed to run on edge devices (K3 on Pi3 :). Distillation should be seen as a cost optimization strategy rather than as a competition. You cannot prevent a teacher from teaching to students. If not from teacher A, I will learn from teacher B, you cannot prevent my continuous learning.