Userbase and customer relationships are valuable. If someone else creates GPT5, but doesn't have a large user base, then OpenAI the company could buy that invention. Or, as we saw with deepseek in January, fast-follow with a comparable model within a reasonable amount of time.
Brands have value. If someone has logged into ChatGPT for two years daily, they have built a habit. That habit certainly can be disrupted, but there's a level of inertia and barrier -- something else has to be 10x better and not just 2x better.
When DeepSeek came out, I tried it out but didn't fundamentally switch my habit. OpenAI + Claude + Gemini instead caught up.
Following that logic, they’ll have to keep spending quite a bit to get to the user base of the current hyperscalers, some of which are already ahead of OpenAI in terms of LLM performance.
I’ve been saying this for years, but there’s no reason you couldn’t make a crdt which emitted conflict ranges like git does. CRDTs have strictly more information than git when merging branches. It should be pretty easy to make a crdt which has a “merge and emit conflicts” mode for merging branches. It’s just nobody has implemented it yet.
(At this point I’ve been saying this for about 5 years. Maybe I need to finally code this up if only to demonstrate it)