Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.
Spent many years on Reddit and then some time on kbin.social.
You’re welcome to try other methods but LLMs seem to be working best so far.
With a decompiler it should be pretty straightforward to automatically check for “hallucinations,” the compiled code is still right there and you can compare the decompiled logic to the original.
The time at which the source code was lost is irrelevant for decompilation, decompilation uses the binary files. Those are the files that are out there being played right now.
Until recently decompilers tended to produce rough and useless code for the most part, but I’m looking forward to seeing what modern LLMs will bring to decompilation. They could be trained specifically for the task.
This sort of thing always reminds me of the classic Louis CK bit from Conan O’Brien: Everything is amazing and nobody is happy.
I’ve mainly been using open-weight models I can run locally to back them, so it’ll last as long as personal computers do.
But I really do find them useful, so they are getting it right in at least some cases.
I actually want AI enhancements to many of the programs I use. I find them useful.
Now watch as I get tossed out the window.
Within IDEs people go out of their way to install Intellisense so that “shit randomly pops up while they’re typing.” There are companies whose whole existence depends on people wanting that to happen.
The example shown was specifically selected because it’s funny, not because it’s representative.
The fact that you called the tool “chatgpt4” suggests you’re not experienced with copilot. They’re not the same thing even if they’re using similar LLMs as a component.
To the contrary, I see code like that all the time in my career. I’ve written some.
Why hasn’t it been incorporated into IDEs until now?
I am becoming increasingly convinced that so is the human brain.
They’re not going to be maintaining literal atomic clocks on the Moon for this. They’ll apply a mathematical adjustment to UTC based on what the physics calculations say is happening. The details of that adjustment are what NASA has yet to develop. It could involve subtracting a “leap second” from lunar time at intervals, leap seconds are already used for keeping UTC in sync with the solar time so it’s an established process. Or maybe they’ll just let Lunar time continue drifting relative to Earth, in which case there’ll be a different “epoch” on each.
I suspect that won’t help. The reason the Moon needs a time zone is because of gravitational time dilation, time literally runs slower down here on Earth’s surface relative to the Moon’s surface. A computer on the Moon gains an extra 58.7 microseconds each Earth day, so if you’re programming something that’ll be running on Lunar time you’ll need to account for that.
Or, frankly, adults.
Though I should point out that the virtual neurons in LLMs are also noisy and sensitive, and the noise they use ultimately comes from tiny fluctuations of random atomic noise too.
I wouldn’t be surprised if someday when we’ve fully figured out how our own brains work we go “oh, is that all? I guess we just seem a lot more complicated than we actually are.”
He must have to apologize to her a lot.
Some people are so addicted to anger that they’ll shoot themselves in the foot just so they’ll have something to complain about.
“The gimp” is a character from Pulp Fiction. You’re imagining things and refusing to use a powerful tool in response to that imagined slight.