rabbits_unite

I know avid users of ChatGPT who say their clients can't tell the difference between human vs bot generated content/conversations.

It can be argued that a system can be said to "pass the test" only if it was interrogated by an expert, and the expert still failed to distinguish it.

But the systems continue to improve at a fast pace. And at this point it seems like we are in the beginning of a "post-Turing" world.

Do you think we crossed that mark? If not, what specific advancement would convince you? Does it even matter, as we embrace the brave new world?

3 years ago I quit my job at a big tech company in order to attend to a family issue. And after that and with the pandemic, I realized I needed some time away from work to try and catch up to my life as a person, as I used to work a lot, and use some of my savings early.

I was hoping to get back to working later this year or early next year, but the news looks more and more grim by the day, with all those tech layoffs in the tens of thousands, and the warnings of recession.

I worked as an IC lead for many years, as well as a technical manager. And I mostly specialized in backend algorithmic and machine learning systems.

I kept myself sharp in some areas, but I'm also realistic that someone who has been away for that long is not a desirable resume.

I'm looking for some observations, big and small, on where the tech community is at right now, what are the top required skillsets now, what's different in the hiring processes today, and any relevant personal experiences from anyone who left the field for a few years and succeeded in coming back.

Example of a "small observation": back in the time when I last interviewed for a job, we used to do a phone screen first. But it appears that nowadays everyone wants to get you on a video call instead.