Reading through the comments on the original post, this sounds like a nightmare for everyone involved. Someone suggested that this just levels the playing field by using automation to get past automation and will in theory force companies to review manually, but what company is going to see 1000 to 10,000 applications to a single job in a day and think, “Wow, my automated application reviewer isn’t up to this task. Time to look at these all one by one!”? No, they’re going to be glad they have an automaton tool and double down on using it.

To answer your original question, I don’t know how real it is or if any of those fifty interviews are for positions the candidate is well suited for. I’m just glad I’m not a recent/upcoming graduate trying to get my foot in the industry’s metaphorical door.

It looks like you want an AI summary of what users thought about your comment, is that right? Here you go!

Open EVSE is the only open source charger I’ve heard about, but I haven’t used their products before.

Isn’t paraphrasing/summarizing the top result a pretty good use case for LLMs? If I search “what temperature should I bake cupcakes at?” I really just want a simple answer, not dozens of links to life story style recipe blogs.

DDG didn’t provide a summary, but Google did (and it was very long). I assumed the answer was 350F, but the summary suggested 325-375. Lower for flatter cupcakes, higher for more domed. Interesting.

This type of summary wouldn’t be nearly as helpful for a technical programming question, but I doubt that describes the bulk of search queries.