This frame seems useful, but might obscure some nuance:
The systems we should be most worried about are the AIs of tomorrow, not the AIs of today. Hence, some critical problems might not manifest at all in today’s AIs. You can still say it’s a sort of “illegible problem” of modern AI that it’s progressing towards a certain failure mode, but that might be confusing.
While it’s true that deployment is the relevant threshold for the financial goals of a company, making it crucial for the company’s decision-making and available resources for further R&D, the dangers are not necessarily tied to deployment. It’s possible for a world-ending event to originate during testing or even during training.
This frame seems useful, but might obscure some nuance:
The systems we should be most worried about are the AIs of tomorrow, not the AIs of today. Hence, some critical problems might not manifest at all in today’s AIs. You can still say it’s a sort of “illegible problem” of modern AI that it’s progressing towards a certain failure mode, but that might be confusing.
While it’s true that deployment is the relevant threshold for the financial goals of a company, making it crucial for the company’s decision-making and available resources for further R&D, the dangers are not necessarily tied to deployment. It’s possible for a world-ending event to originate during testing or even during training.