3. Some applications are going to work just fine with smaller models on local hardware. If people still have machines with the memory to run those models laying around, that will cost OpenAI business. Also, once RAM suppliers catch up and Moore's law resumes operation, the capability of local hardware is going to steadily improve. Were it not for the AI build-out, typical configurations for new PC's would likely have moved on from 32GB by now.
4. Everything is training data. If that data isn't going to OpenAI, they're not training on it.
Also, it's important to remember OpenAI's failure might actually be the best thing for everyone else in the AI field. e.g. Some new innovation/approach could come out of left field and eat OpenAI's lunch. They've bet the farm (and a lot of other peoples' farms) on a brute force approach. Altman needs your RAM because, if he doesn't control the brute force, the brute force approach might not work only for him.
4. Everything is training data. If that data isn't going to OpenAI, they're not training on it.
Also, it's important to remember OpenAI's failure might actually be the best thing for everyone else in the AI field. e.g. Some new innovation/approach could come out of left field and eat OpenAI's lunch. They've bet the farm (and a lot of other peoples' farms) on a brute force approach. Altman needs your RAM because, if he doesn't control the brute force, the brute force approach might not work only for him.