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Don’t forget the 300-comment-long “+1” feature request chains
Don’t forget the 300-comment-long “+1” feature request chains
I’m not sure if this is an obscure reference, but…
🎵 Iiiiiiffff yooooouuuuuu 🎵
*Want to take a picture of the fascinating witches who put the scintillating stitches on the britches of the boys who put the powder on the dawn of the sequel of the prequel of the reboot of the planet of the kingdom of the war of the dawn of the rise of the battle for the conquest of the escape from the planet of the apes… *
As a large language learning model, I resent the implication. 😂
I’m replying with a sample size of N=1 so don’t take too much from it, but I suspect it’s not the typical response (at least, not yet anyway).
People do often seem to complain about bot accounts but I don’t know how much of those are in the space of stirring up hot topics to generate content, vs informational (or dis-informational) bot accounts posting on requests for help or explanations.
I guess if people are seeking answers for something, having a bot feed responses to suit some kind of agenda is entirely a possibility, so I wouldn’t write it off as something that could happen. To that end, being wary of posts that look like they might be generated due to the tone/content is probably fair enough.
Yeah, already jumped ship when they started the api and mod nonsense. This was a bit before all that.
I was once accused on Reddit of being a bot after spending half an hour crafting a reply to a question with detail and examples. It’s a great way to discourage people from trying to be helpful 🫠
I feel personally attacked.
More words than the “article”… negative savings!
Bad bot :(
Yep, hence the preface. Just offering up an alternative to using software they’re concerned about in case they don’t know they have the option. 🙂
I’m going to assume that by the way you’re describing it, using an excel alternative is totally out of the question or simply not possible, but just in case it isn’t…
If you haven’t heard of it, check out LibreOffice.
On “we as people can perceive imperial temperatures a lot better than metric,” I’d agree to disagree here - Celsius is pretty straight-forward. Temperate is temperature, it’s just about what numbers you’re assigning to which temperatures.
0°C is when water freezes, and 100°C is when water boils. A 10°C day is cold, a 20°C day is mild, a 30°C day is hot, and a 40°C day is when you melt.
Whatever you grew up with is probably what is going to be easiest for you to comprehend, but Celsius is no more difficult or less perceptible, just a different value range.
Ten years ago I’d say “wtf” but then I had ube keso (purple yam and cheese) ice cream. I don’t understand why it is not awful and is in fact delicious, and now I think the only valid way to judge an ice cream flavor (within reason) is to ignore the list of contents and just taste it.
Did you read concussy as concussy or concussy?
Until it becomes obsolete, unsupportable, the crux of your operation, and/or the basis for all of your decisions 😬
(Yes, I read the article, it’s just the signs, but yes, the above still applies!)
A key innovation of the new study is that the researchers were also able to figure out what kinds of information the deep-learning model was using to make its antibiotic potency predictions. This knowledge could help researchers to design additional drugs that might work even better than the ones identified by the model.
That is awesome. I wonder if the techniques that they have used to expose the machine learning “black box” process can be applied to other models - from my understanding of it, that would be pretty big news in and of itself.
Ah that’s great. It wasn’t an option when I had to get it sorted but that was a few years ago. The self-service options in the app are excellent for basic config and troubleshooting.
“I am bleeding, making me the victor.”