in the coming decades
Given that in the past 15 years we went from “solving regression problems a little bit better than linear models some of the time” to what we have now, it’s not unfounded to think 15 years from now people could be giving LLMs access to code execution environments
This is only true for steam keys sold on other platforms afaik
It’s not uncommon to see certain sites to only work on chromium because the dev used the filesystem APIs that don’t exist on FF
It’s not necessary but there is no reason not to.
Pros:
Cons:
venv/bin/python3 instead of just python3 in the run line of your dockerfileMore, but not way more - they would be licensing window IoT, not a full blown OS, and they wouldn’t be paying OTC retail rates for it.
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It’s unavoidable - once the cheese gets hot enough the steam will either force the liquid cheese out of existing holes, or it will make its own holes.
Make sure they are fresh out of the freezer when you put them in, as this lets the outside crisp up more before the inside becomes lava. Once you get close to the prescribed cooking time, you need to just sit in front of the oven door and watch them, and as soon as 2-3 break open, take the whole tray out
Too bad it still can’t figure out how to do dead ass simple things the old assistant had no problem with, like setting a reminder or alarm
Right? it screams wayyyy pre-y2k but MySQL was only release in 95
will it become a relic of the past?
Probably
why YEAR in the first place, who would actually make use of it?
Accounting systems in the 90s that needed to squeeze out every drop of performance imaginable
I expect it won’t
The year datatype is a 1 byte integer, but the engine adds/subtracts 1900 to the value under the hood and has special handling for zero.
If you need to store more than 255 years range, you can use a 2 byte integer, which doesn’t need that special handling under the hood, because with 2 bytes you can store 65000+ years
tl;dr
We find that men who are more dissatisfied with the size of their penises are less likely to personally own guns across outcomes
There are like 10,000 different solutions, but I would just recommend using what’s built in to python
If you have multiple versions installed you should be able to call python3.12 to use 3.12, etc
Best practice is to use a different virtual environment for every project, which is basically a copy of an existing installed python version with its own packages folder. Calling pip with the system python installs it for the entire OS. Calling it with sudo puts the packages in a separate package directory reserved for the operating system and can create conflicts and break stuff (as far as I remember, this could have changed in recent versions)
Make a virtual environment with python3.13 -m venv venv the 2nd one is the directory name. Instead of calling the system python, call the executable at venv/bin/python3
If you do source venv/bin/activate it will temporarily replace all your bash commands to point to the executables in your venv instead of the system python install (for pip, etc). deactivate to revert. IDEs should detect the virtual environment in your project folder and automatically activate it
The feature is explicit sync, which is a brand new graphics stack API that would fix some issues with nvidia rendering under Wayland.
It’s not a big deal, canonical basically said ‘this isn’t a bug fix or security patch, it’s not getting backported into our LTS release’ - so if you want it you have to install GNOME/mutter from source, switch operating systems, or just wait a few months for the next Ubuntu release
GNOME said this update is a minor bug fix (point release)
Canonical said this is actually a major feature update, and doesn’t want to backport it into its LTS repositories
It’s open source code that someone ran on their own computer, it’s not like he used paid OpenAI credits to generate the image.
It also would set a bad precedent - it would be like charging Solomons & Fryhle because someone used their (absolutely ubiquitous) organic chemistry textbook to create methamphetamine
You shouldn’t have to worry about tracking object lifetimes in a garbage-collected language like Python, but Tkinter is just…weird about it.
Don’t know if this is the case with TK, but this is 100% the cause of a lot of bugs working with Qt in python. If you don’t explicitly keep a reference to all your python objects, they can get GCd, and then when the Qt loop tries to access them you get a crash.
So the “biologists and pharmacologists” you are citing are just armchair scientists in the Lemmy comment section
That’s not really machine learning though. If you wanted to go way back, AI research goes back to implementations of hebbian learning in computer science back in the 1950s as a way of emulating human neurons. I was merely pointing out that AI was a computer science “dead end” until restricted Boltzmann machines were revisited by Hinton et al back in 2008 or so, and that 99% of the growth in the field has happened since the early 2010s when we reached a turning point where deep learning models could actually outperform classical statistical models like regression and random forests