For a while, the most capable AI models were only available through a handful of companies' paid APIs. That's changed: researchers and companies now regularly release "open weight" models — the trained parameters themselves — that anyone can download and run on their own hardware or cloud account.
This matters for a few reasons. Developers can fine-tune an open model on their own private data without sending that data to a third party. Researchers can inspect how a model behaves instead of treating it as a black box. And smaller companies can build products without being dependent on one vendor's pricing and availability.
The trade-off is that open models require more technical effort to deploy well, and the very openness that enables customization also makes safety guardrails easier to strip out. It's a genuine trade between accessibility and control, and different projects will reasonably land in different places on that spectrum.