Focusing on the AI content generation aspect of this is disappointing to me, since those tools are fuzzy at best and even if the post was AI generated, it isn't necessarily a red flag since the user could be trying to disguise their writing style.
There are plenty of other signs this story is likely fake. The author claiming to be posting from a library on New Years' Day (most government buildings are closed) and was responding over 10 hours on the account. He's using a throwaway and a "burner laptop" at the library, but he also says he put his two weeks' notice in yesterday (also odd that this is on New Years' Eve) which would make identifying him trivial.
Fake stories get to the front page of Reddit every day, I wish journalists were pointing out the actual signs not to trust something to act as a better example.
I think this is one of those occasions when the story was so good that "journalists" skipped any validation and went right to publication. Someone played the media, and they bought it hook line and sinker.
It was a good indication of how things like conspiracy theories spread.
He gave his notice on NYE? Oh, he's probably just fudging that so he's not caught. He doesn't care about getting caught but he's on a burner laptop? Oh, people do weird things when they're stressed. And on and on.
Then, of course, the ultimate fallback: Well it sounds like something they would do. So even if most of this is made up, the bad things are still probably true.
FYI: Card 8's transcription is different than the image. In the image 5, 8, 12 is a Set but the transcription says Card 8 only has 2 symbols which removes that Set.
Oh no, thanks for pointing this out! I asked GTP-4o to convert the image to text for me and I only checked some of the cards, assuming the rest would be correct. That was a mistake.
I've now corrected the experiment to accurately take the image into account. This meant that Deepseek was no longer able to find all the sets, but o3-mini still did a good job.
Tesla's example is most alarming to me since people who seemingly have no business purpose to access highly sensitive data have access to it. Culturally people feel safe sharing this data on internal chats which means they don't think coworkers will report the data access violations and since the content is spreading "like wildfire" there's a significant number of people at the company who are abusing data access as opposed to an individual abusing their elevated access.
Offworld Trading Company is a real-time economic strategy game. It does have a fair amount of things to manage, but having no units means the APM is far lower than a traditional RTS.
O, Theta, and Omega are independent from best, worst, and average case. You can mathematically establish upper, lower, or exact bounds on any of the average, best, or worst cases.
It is perfectly valid to say "the best case is O(n)" which means the best case scales no worse than linearly. The "no worse" here is not describing the best case, but rather the strictness of your bound. You could say a sort algorithm is O(n!) since, yes, it does scale no worse than n! but it's not particularly helpful information.
Big O notation is used imprecisely frequently (see also people saying a dataset is O(millions) to describe scale).
Yeah, even things like gather.town people have said worked well for things like happy hours for teams working remotely. Having some virtual equivalent of physical space helps people socialize more naturally.
My chat with agent button was kind enough to work when I was canceling my crossword subscription. When they asked why I said that I suspected their unsubscribing process to be illegal under California law and their next message was that they had unsubscribed me.
If a rule-based system can get as good of results as a deep neural net, why is the deep neural net "AI" but the rule-based system is "dumb and hard-coded"?
AI is not a precise term. If you can make a product that feels intelligent to the user, why does the implementation matter?
There are plenty of other signs this story is likely fake. The author claiming to be posting from a library on New Years' Day (most government buildings are closed) and was responding over 10 hours on the account. He's using a throwaway and a "burner laptop" at the library, but he also says he put his two weeks' notice in yesterday (also odd that this is on New Years' Eve) which would make identifying him trivial.
Fake stories get to the front page of Reddit every day, I wish journalists were pointing out the actual signs not to trust something to act as a better example.