7 Ways How We Use AI Is Changing

The way we use AI is changing. First, we were prompt engineers, then context engineers, then harness engineers, then loop engineers. And while it's tempting to view all of these things as just one silly buzzword giving way to the next, The reality is that we are all together on this journey figuring out just the best way to use a completely new technology that is changing both how we do our current work and opening up new possibilities of what work we can even do. Today, we're talking about seven ways that how we use AI is changing. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. Alright, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, Blitzy, robots and pencils, Harbor, and HyperAgent. To get an ad free version of the show, go to patreon.com/aidailybrief, or you can subscribe on Apple Podcasts. To learn more about sponsoring the show, send us a note at sponsors@aidailybrief.ai. Today's episode is about a bunch of patterns that are shifts, I think, in how, on average, we interact with AI on a daily basis. One thing that's been true since the very beginning of ChatGPT is that our patterns of interaction with AI have never been static for long. At the beginning, it was people discovering new ways to prompt the AI that had better or worse results, which was then communicated through hundreds of articles, posts, YouTube videos, podcasts, and courses. But over time, the interaction pattern shifts have gotten more significant and more substantive. Over the last week or so, I saw a number of announcements that really reinforce some fairly big shifts in these interaction patterns. And while I don't think that how we use AI will ever be truly static, I do think that some of these shifts, which I'm going to cover in this show, are fairly fundamental and likely to stick. And thus, of course, if one is trying to be efficient with their time, may be more worthy of attention. So first up is an interaction pattern that is not so much us changing how we interact with AI, but product design decisions that are shifting the options that we have to interact with AI. Very clearly, there is a push towards simplification and integration, and user experiences that have less rather than more cognitive decision making for the end user. One thing that's been interesting for me sitting in this seat that I have is the extent to which early AI has tended to defy traditional Silicon Valley logic that users won't show up unless you give them an incredibly simple and clear experience. In fact, quite to the contrary of that, a lot of the early adopters, not just from tech circles but from broader knowledge work circles, have, rather than resisting complexity, thrown themselves in head first. A great example of this for me was when …