|
What scares me about this new AI mode thingy is that every answer sounds like a systematic literature review, but only for the results. For example, if I look for users feedback about a specific product, it says "People think that..., but also that...; It's important to notice that some people ..." where with 'people' it means just a random comment on a random website just because it thought it was a good contribution to the results. Sounds like it's giving a ground truth from "multiple" data, when instead it's just aggregating almost random stuff. In the context of a systematic review, the feature that I would love the most is augmenting my initial query, so that I can just get more results that I could find interesting. I am 100% sure they thought about this, but ignored it for the most profitable option. |
What scares me is the rampant inaccuracy. In my experience, the AI responses are wrong about 65% of the time. I just did a search today about an error talking about a disconnected link between apps, and Google AI result summary told me that the error was related to my pulling a USB drive too quickly in windows. The ONLY word similar to my query and that AI response was the word "disconnect". Everything else was clearly about the SaaS apps.
I have people coming to me, asking me questions, then telling my Google told them something else, so now I have to waste time convincing them that it's wrong. Over the past 2 years AI has done nothing for me but complicate my work life.
And of course, this could be because the model is crap, but it could be because they want me to keep refining my query over and over for more ad views. Either way, it's a terrible experience.