I prefer my tutorials without reading someone’s life story at the beginning. The intro contains so little info compared to the number of words being used. This reminds me of looking up a recipe and having to scroll past an essay on the history of someone’s grandmother. I like it when documentation is as dense as possible, and ideally formatted in a logical way so it’s easy to skim. Big paragraphs of English do not achieve this.
I got the same sort of impression in the “Write for beginners” section. The “good” example is like 3x as long but contains less actual information. The reader is already looking up a tutorial, you don’t need to sell them on what they’re about to do with marketing speak. I’ve really come to value conciseness in recent years.
Also, a key part of how GPT-based LLMs work today is they get the entire context window as their input all at once. Where as a human has to listen/read a word at a time and remember the start of the conversation on their own.
I have a theory that this is one of the reasons LLMs don’t understand the progression of time.
The context window is a fixed size. If the conversation gets too long, the start will get pushed out and the AI will not remember anything from the start of the conversation. It’s more like having a notepad in front of a human, the AI can reference it, but not learn from it.
the kind of stuff that people with no coding experience make
The first complete program I ever wrote was in Basic. It took an input number and rounded it to the 10s or 100s digit. I had learned just enough to get it running. It was using strings and a bunch of if statements, so it didn’t work for more than 3 digit numbers. I didn’t learn about modulo operations until later.
In all honesty, I’m still pretty proud of it, I was in 4th or 5th grade after all 😂. I’ve now been programming for 20+ years.
I think part of the problem is that LLMs stop learning at the end of the training phase, while a human never stops taking in new information.
Part of why I think AGI is so far away is because to run the training in real-time like a human, it would take more compute than currently exists. They should be focusing on doing more with less compute to find new more efficient algorithms and architectures, not throwing more and more GPUs at the problem. Right now 10x the GPUs gets you like 5-10% better accuracy on whatever benchmarks, which is not a sustainable direction to go.
And this is why the WSL1 filesystem was so damn slow. WSL2 uses a native ext4 filesystem (usually, you can format it to whatever)
This is a bit different than MTBF like on harddrives. Batteries are usually warrantied to 80% capacity because it’s a wear thing, not a random chance of complete failure. A battery isn’t going to last twice as long as another one by chance, this is all about determining the average or worst-case operating range the battery will be in and using that to figure out a warranty period where they think all cars will fall within.
Somehow I feel like the cloudflare one is not in the same category. This is the first I heard about it, and end users don’t care about logs at all. I doubt there’s many businesses that even noticed or cared that they lost 4 hours of logs.
Why the fuck does an oven have a touch screen? That’s a horrible idea. Good luck cleaning your kitchen without accidentally hitting “buttons” on the oven! And heaven forbid food splatter turns on your oven broiler.
I think The Onion has better taste than to joke about this topic.
Ironically the one thing computers are normally good at.
I believe the lifecycle goes ExceptionLayer, ExceptionIncubator, ExceptionHatcher
It’s critical you don’t throw your exceptions too early, they need to learn to fly first 🤣
My biggest problem with it is that those aren’t verbs. You might have LegCount -> Countable and FleaCount -> Countable though.
I really enjoy programming, but generally I dislike cooking. I just want to eat, not spend time preparing to eat.
My experience with cooking has been that because I don’t do it enough, I’m constantly dealing with food expiration dates and having to plan carefully around them.
In comparison, I’ve got some servers that have been running maintenance free for 5+ years. (Probably not the most secure thing, but meh, I don’t have customers other than myself)
I think programmers often have hobbies that are more physical though. For me, I like working on my car because turning bolts and working with my hands lets my brain turn off for a while. I could see cooking and following a recipe being in the same category for others.
“I’m going to shoot you in the face” - Man who can’t stop lying if their life depended on it.
“I don’t believe you” - Last words of person shot in face.
shocked pikachu face
Maybe lets not risk it.
Trump has also tried to cut medicare several times, while Harris wants to put a cap on out-of-pocket prescription prices and actually improve things instead of blaming everything on immigrants.
I don’t appreciate your whataboutism. You’re arguing like it’s one or the other, bodily autonomy or better healthcare. The goal should be both. They’re not conflicting issues.
It really depends on what you’re measuring. Good luck measuring the distance from a corner if you can’t get 0 to touch the end.
Tape measures are almost always designed with this in mind, so you can hook the end over an edge, or butt it up against something and the measurement will be accurate both ways, since the metal end can slide in or out by just the right amount.
I have absolutely no clue what my highschool locker combination is, but I guarantee you if you handed me the lock, I could open it first or second try. That muscle memory is burned deep into my hands, and it’s been over 10 years.
These don’t seem to be particularly new panels. $600 and only 97% of the sRGB color space (= ~78% DCI-P3), meanwhile a similarly priced LG “QNED” can do 90-95% of DCI-P3. I’m not sure you can even call those TVs HDR if they’re only 8-bit color. None of these models can even remotely compare to a brand new OLED TV.