I meant like births, as in even if you can enumerate every single individual, statistics can apply to future members that don’t yet exist.
And yeah, it’s been a while and I remembered that the proof didn’t depend on the population size but forgot that it assumed a large population size in the first place. I was wrong.
I think they meant all those coasts that are man made. Still think we should have said no when they wanted to extend Florida so far out.
Games rely on more than just the OS API and even variation between Linux flavours or installed libraries on the same flavours can make compatibility difficult. My success rate at running games with a Linux native version is maybe 50% before I fall back to proton and the windows version. The consistency helps, though kudos to the developers who put in the effort to get their games working on Linux in general rather than just their particular systems.
The gpu library is a big one. There’s OpenGL, DirectX, and Vulkan (which is the successor to OpenGL) that I know of. Linux and windows support all three, in some form or manner, but afaik mac only supports OpenGL, which really holds back game development, especially with DX being the most popularly targeted one.
Though my info might be a bit dated because I dgaf about macs generally, just wanted to point out that the shared roots between mac and Linux don’t necessarily mean targeting one would make targeting the other easier in a meaningful way.
Maybe one day they’ll sell a dongle to play games (which is really just a live boot linux install).
Then any statistics you measure on that population might be fully accurate for those 100 but might be less able to predict what the next 100 will look like.
You can still measure stats with smaller groups, it just means the confidence interval is smaller. With 300, there’s a 95% chance your test results are close to reality. With 100 it might be more like 66%.
Lmao, so the LLM framework falls back to similar shit to what ALICE used?
Lol I assumed OP meant mock as in “You want to go to tiktok? What a horrible site. You have bad taste.”
If I don’t like someone’s silly pictures and find them attractive in those, then I wouldn’t be dating them in the first place.
I stopped trusting those “good angles” when someone only had them on their tinder profile. If they didn’t include at least one pic showing a less than ideal angle, I assumed they were one of those skilled enough with makeup and photography that they could use their own pictures to catfish. Filters, too. Though these days, AI would also be in the mix.
Wait, sit and observe the voice in your head!? That’s just a part of the joke, right? Because that voice is you?
Ah you thought they did it like:
if ( date == target_date ) { \ do the thing }
But it was really:
time_to_target = convert_date_to_time_to( target_date ); // always returns the closest time to whatever date you specify (even if the date doesn’t exist (March 31st does exist))
do_thing_in_x_time( the_thing, time_to_target );
There were people that raged at others wearing masks because they felt entitled to see their faces or some stupid shit.
Ends up sick because instructions didn’t specify using clean dishes. Blames everyone else and cites it any time anyone tries to get him to do something for himself. This does not turn out well for him once his parents pass away.
Have you met people? There’s stupid fucks out there who take pride in being disgusting assholes who don’t wash their hands.
Not to mention his wow raiding consisted of a lot of screaming at people for fucking up and IMO any success was despite him not because of him.
Counter proposal: ban OP from this community along with anyone else who removes artist trademarks from comics they post.
Afaik in Canada, you aren’t even breaking any law until you try to leave the premises without paying. Perfectly legal to grab shit from the shelves and stuff it in your pockets as long as you take it out and pay for it before you leave. If you wanted to fuck with their loss prevention people, do that looking as shady as you can, like furtive looks around as you shove things in your clothes, then just pull it all out at the register.
Note that they can ask you to just leave and ban you from the store without needing to charge you with anything (after which returning at all could get you a trespass charge), so it’s more of a funny prank to think about and then not bother doing because there’s nothing to gain.
My point isn’t AI is good or bad, but that the difference is how much it gets leaned on.
In this case, it’s how AI is (assumed to be) used at MS vs how it was used in the OP.
MS appears to be heavily leaning on generative AI producing code. In my own experience, that is pretty good these days at responding to a prompt with a series of actions that achieves the desire of the prompt, but is bad at creating an overall cohesion between prompts. It’s like it’s pretty good at making lego blocks but if you try putting it all together, it looks like you built something from 50 different sets, plus the connections between the blocks are flawed enough that it’s liable to collapse the more you put it together.
In the OP, AI is being used to submit bug reports. This one can be thought of as using an AI to write a book report instead of using an AI to write the book in the first place. If the AI writes a shitty report, it has zero effect on the book itself. But the AI might just include a list of all the typos in its report, which is useful for correcting the errors in the book.
Also, game studios forgetting to replace placeholders is yet another issue more on the process itself, though it can also show a lack of attention to detail and maybe indicate that an AI was handling more of the process. A decent system would flag all assets for whether they are placeholders or final and then include a review of all flags before publishing to catch something like this.
So this isn’t a general defense of using AI, I’m just saying that it’s possible to use it without everything it touches turning to slop, but that it often isn’t used like that, resulting in slop.
And it’ll be easy to fall into the slop trap, what with how it’s always making leaps and bounds inprovements that help with instances of it fucking up but don’t resolve the fundamental issues that will probably mean LLMs will always produce some sort of slop (because everything boils down to some sort of word association, just with a massive set of conditional probabilities encoded into it that gives it the illusion of understanding).
The same reason any personal projects (and not using it to diminish what linux projects are but to say that the people working on them do it because they want the project to progress, not because of any financial incentive) can do better then commercial projects: where the passion is at.
Someone just looking to get paid is more likely to say “ok this is good enough” and move on to the next thing. They are more likely to have managers breathing down their necks to get something done by some arbitrary deadline, too.
It’s why indie games have been able to compete with AAA games. The latter are following a formula to get paid, plus are more willing to make compromises in the name of either saving costs or increasing revenue. The former just want to make their fun idea reality.
Also, MS has invested a ton of money into AI and seem to be getting desperate for a return on that. Which means there’s a certain amount of denial about the quality. It’s not just a tool to them, but a tool they desperately need to work and prove it’s worth throwing a ton of money at.
But for anyone that it’s simply a tool for, it can be useful. They are great rubber duckies. Like my last interaction with one was a case where it did horribly and was completely wrong about what “we were discussing”, but I still got to the right conclusion despite it because going through the conversation helped me think it through.
And though it makes a lot of mistakes, its feedback isn’t always wrong. The fact that it can rehash previous things from its history means its good at spotting new instances of problema that have already been solved. So accepting bug reports should be fine, just with the understanding that they each need to be looked at and some reports will need to be rejected because they are wrong.
Sorry aliens but you’ll need to go back to your science labs because we have since discovered how to compact discs themselves. No more data discs the size of records, we can fit an entire 70 minutes worth of full fidelity (to our ears) digital audio and then surpassed even that and managed to get it up to 74 minutes! 700 times 2 to the power of 23 bits of arbitrary data (or maybe it’s just 700 times 8,000,000, we never did figure out the concept of honestly describing things marketers want to sell), all within our outstretched fingers or around a single extended finger.
Oh also, if you’re thinking of listening to music inside a faraday cage, it won’t get rid of that interference because the music wasn’t likely recorded in a faraday cage, so the recording itself already has that interference noise, you just won’t be adding even more from your own setup if you did it in a faraday cage.
It really depends on your devices and what you want to do with them.
What I’ve noticed so far is that the generic drivers on Linux seem to cover more functionality (eg, my mouse didn’t show battery status on windows without the proprietary drivers but it shows up in Linux), but if it’s not covered by that, then odds are support will be more limited or none on Linux unless it’s commonly owned.
Though depending on what kind of data your devices are dealing with, it might not be that bad to get it working. Like audio data is just a time series of amplitudes (though codecs can complicate that if you’re dealing with some digital format), input devices are usually some combination of button press events and axis updates (and controller vibrate is pretty much just a lower bitrate audio signal). Video can be more complicated, but there’s likely software that can understand whatever stream of data it gives off. But this all depends on patience and skill, and if you were the type to gravitate to something like that, you probably would have already switched.