I think it a problem of size. Having worked in a big tech company before, I saw first hand how sometimes inefficacy can creep in. It's very hard to execute quic

I think it a problem of size. Having worked in a big tech company before, I saw first hand how sometimes inefficacy can creep in. It's very hard to execute quickly in new areas once a company gets too big. Size, bureaucracy and politics can reduce the speed of decision making. Another issue is sometimes big companies don't feel the need to push too hard in one area. Open AIs survival depended entirely on their execution and delivery of GPT. It's very possible that Google would have killed off a GPT like project in it's early stages because it has many other streams of revenue. They can afford to kill of a 1M revenue business cause its merely a rounding error. See https://killedbygoogle.com/ https://killedbygoogle.com/