> Try posting each question from the list to ChatGPT.
I tried it with the poetry question. I had to change the prompt a bit otherwise ChatGPT just gives a typical midwit answer.
Q: Why do most people seem to hold poetry and poets in high esteem yet have approximately zero interest in reading any poetry ever? Give me a humorous response
ChatGPT Response: Well, perhaps it's because people just love the idea of poetry more than the actual act of reading it. You know, it's kind of like how people love the idea of exercising and eating healthy, but actually doing it is another matter entirely. Or maybe it's because people just love the way that poets look in their berets and turtleneck sweaters, all brooding and deep in thought. Or maybe it's because people just love the way that poetry sounds when it's being read aloud by someone with a really pretentious accent. Who knows? The mysteries of human behavior can be strange and elusive at times.
Out of curiosity: Why do such laws happen at state-level and not at federal level? Most jobseekers would be looking at jobs all over the country, correct?
> Most jobseekers would be looking at jobs all over the country, correct?
Inside the HN tech bubble possibly. But outside of that the overwhelming majority of jobs are not in white-collar/remote-friendly work (and people change jobs far more often than they're willing to relocate so moving to a new state, or even city, for each new non-remote job isn't common either).
So no the majority of jobseekers are not looking for work "all over the country" - most are looking for jobs within a reasonable commuting distance of where they live.
Probably because the United States Congress is completely off the rails. Or, somewhat more charitably, there's no way in hell any bill that shifts the balance of power away from employers would make it through the Senate.
This is a great initiative. I hope the next phase of the website also has job openings for non-technical positions. All the best for this great initiative :)
Maybe Microsoft can actually use the data to create a feature to show if an employee is overworked or burnt out. That would be some good use of that tool.
Yeah exactly. How long before this goes into a predictive model where employers can identify which employees are likely to start producing less in the near future?
