This isn’t the problem people think it is. Chain-of-Verification, Process Supervision, encoder/decoder and a plethora of other models are quickly maturing, AND

This isn’t the problem people think it is. Chain-of-Verification, Process Supervision, encoder/decoder and a plethora of other models are quickly maturing, AND it’s important to remember the current systems ARE NOT particularly optimized in any way for objective accuracy but instead to carry on conversation. It’s a conversation bot. It’s also important to understand that most systems out there are building on top of the same AI APIs. There isn’t actually that much diversity in the ecosystem that’s broadly deployed yet, so problems with ChatGPT and Bard are “AI problems” and not limited in scope. As the market matures, solution diversity will increase dramatically and systems that solve these major challenges will emerge and not necessarily from the incumbents. That’s been the pattern in tech waves of the past and why Apple always takes the wait and see and implement the winning solution in the product strategy so often. These are early days and it’s important not to see the current generation as anything greatly exceeding the first demonstration level technology wave, hard as that is to imagine. It’s 2000, and we are looking at something like a Nokia 3210 (gpt 3.5) and 3310 (gpt 4) talking about how it has problems. Yep. It’s not a iPhone yet. And we still think Nokia is going to dominate. And the current systems just have problems that are kinda holding them back… but this is the way technology waves break…