Tag Archives: DOAC

AI, Content and Context

I found this quote very interesting. On his podcast, Diary of a CEO, Steven Bartlett is talking to Daniel Priestley and Steven mentions that Open AI’s Sam Altman believes we are not far away from a 1 person company making a billion dollars, using AI rather than other employees. Daniel pushes back and says while that might happen, a more likely and more repeatable scenario would be a 5 person team. Then he says this:

“AI is very good at content but not context. And having 5 people who share a context and create a context, together… then the content can happen using AI. AI without that context, it doesn’t know what to do, so it doesn’t have any purpose.”

Daniel Priestley

Like I shared before, “The true power and potential of AI isn’t what AI can do on its own, it’s what humans and AI can do together.

This idea of context versus content seems to be the ingredients that make this marriage so ideal. This is noticeable when generating AI images, as I’ve done for quite some time, creating images to go with this blog. For example, I’ll describe something like a guy on a treadmill and maybe one of the four images created would have the guy backwards on the treadmill – content correct, but not context. As well, AI is really unaware of its’ own biases that humans can more easily see. These context errors are common.

But just as AI will be better teaming with humans, humans are also better when they team with other humans, rather than being solo. We miss context too, we struggle to see our own biases, unless we have people around us to both share and create the context.

The best innovations of the future are going to come from small teams of people providing rich contexts for AI. And while AI will get better at both context and content, it’s going to be a while before AI can do both of these really well. It’s what AI and humans can do together that will be really exciting to see.