[j-wang]

"But this logic breaks down for advanced models, and badly so. At high performance, fine-tuning isn’t merely adding new data — it’s overwriting existing knowledge. Every neuron updated risks losing information that’s already intricately woven into the network. In short: neurons are valuable, finite resources. Updating them isn’t a costless act; it’s a dangerous trade-off that threatens the delicate ecosystem of an advanced model."

Mainly including this article to spark discussion—I agree with some of this and not with all of it. But it is an interesting take.