I always leave room open for failure, and that approach has generally served me well personally and professionally. I have never been punished for having an exit strategy.

Besides, the marketplace is still in its infancy for LLMs, with a lot of unanswered questions. A lot of those questions surround the commercial viability of frontier models on bespoke hyperscaler data centers with limited usage outside of LLMs specifically should those economics be non-viable. Since that's where the memory is being tied up into, that means it's a critical question to answer in order to determine long-term investment needs into further memory fabrication.

They work well functionally, but financially anything can still happen.

> Haven't they already proven to be extremely useful?

Most certainly not. The accuracy issues mean that they can't really be used effectively for coding or search, the two things you mentioned.