Like how did action game character end up in farming simulator?

But he read it after accepting the job. Right?

7000 achievements available, one for each specific RAM kit. 6344 of these achievements earned by 0 people.

But then how do your bones bone bonelessly?

It is and it isn’t. The hand you get dealt is random (assuming no funny business) but the people who do consistently well are playing their opponents more than their cards.

Poor lighting is no laughing matter.

Not sure how well that without work even if you could bridge them properly to share their vram, as the latency from the other gpu will be pretty high compared to the local vram. Frame times won’t be that great is my prediction. It works ok for LLMs because they aren’t a realtime compute task like gaming graphics is. If an LLM takes an extra 0.12s to compute its result, you don’t notice, but if a gpu misses a frame deadline by 0.12s, that’s a stutter that represents less than 10 fps.

I believe that’s why earlier attempts at dual gpu systems mostly fizzled out (plus cost concerns). You can get some pure acceleration if you can fit the entire working memory onto both GPUs’ vram (so your total vram is effectively min( GPUA_VRAM, GPUB_VRAM ) rather than GPUA_VRAM + GPUB_VRAM, though that also requires all pixels to be independent of anything calculated on the other GPU, other than maybe post processing effects that could be handled on whichever GPU is handling the display.

That’s not to say that you can’t get extra performance out of multi-gpu setups that don’t just mirror their RAM, but it’s more complicated than “sum of the capabilities of each GPU”.

Personally a big thing that holds me back from even seriously considering mobile gaming as an extension to normal gaming instead of “the best you can do when you don’t have access to better devices” is the input side. I hate touchscreen controls for anything with real time action because touching the screen obscures it from view, plus you don’t get the tactile feedback of buttons that makes it trivial to play without needing to readjust your finger positions constantly.

And I know there are external controllers you can use with phones, but if I’m making space (and remembering to bring) one of those, I might as well just bring my steam deck or even the switch instead.

It’s funniest when they act like their rage is justified. Or destroy their own things.

If you read the negative reviews on steam, you can often filter these shitty ones out. Also, be suspicious by default of free games. There are some that were made by some game dev just having fun but most want to make money some way or another and f2p monetization is often pretty toxic, like adding a long grind just to sell ways to avoid it or p2w mechanics.

I haven’t felt like I’ve gone wrong by generally just buying the cheapest well-reviewed games on my wishlist, occasionally stretching the budget to grab a mid-priced game I’m interested in and rarely going for a AAA priced game. Means that I get to some great games later (eg, Hollow Knight is one of the more recent ones, highly recommended btw) but it’s been a great way to experience a wide variety of games from today and the last 15 years for not that much money.

My not very generous guess is someone wanted to give the impression of something being really old without a clue of what really old is.

Like it wouldn’t surprise me if it turned out bread was accidentally invented when someone screwed up an attempt to make beer.

Maybe about the same sway but they are purchasing memory on a different market that is about future goods rather than goods currently sitting on shelves. So they will have more day to day visibility on RAM futures than your average consumer will. Price increases will happen there before they affect store shelves.

Doh, no such luck for me. Oh well, I still have my PS2 lol.

Python code:

results = {}
for ip0 in range(256):
  ip0_str = to_str( ip0 ) + '.'
  for ip1 in range(256):
    ip1_str = ip0_str + to_str( ip1 ) + '.'
    for ip2 in range(256):
      ip2_str = ip1_str + to_str( ip2 ) + '.'
      for ip3 in range(256):
        ip_vector = [ ip0, ip1, ip2, ip3 ]
        ip_str = ip2_str + to_str( ip3 )
        results[ ip_vector ] = ping( ip_str )

Might look a bit nicer using format strings instead. That map will contain on the order of 4 billion entries (one for each value of 2³²), and the actual size will depend on what format the ping function returns, 4 bytes for each key (optimized from my initial version that used the IPs as keys), plus all the internal structures for the map like key hashes and the hash table itself. Ie, this takes more memory to run than viewing OP’s full sized image and I wouldn’t suggest running it with less than 32GB of RAM. Though it would take less memory if it generated the image directly or at least making the keys implicit (which the image does, as they are encoded into the x, y coordinates rather than stored).

Edit: Let’s look at runtime, too, because why not. Assuming every single IP responds in 0.01 seconds (they’ll take longer, especially the ones that time out instead of respond), rounding the total to that nice 4 billion number get us 40 million seconds. An hour is less than 4000 seconds, so it would take over 100 hours to run this script.

Though it could be parallelized, since you can ping many targets at once. Not sure what the maximum number of pings you could have in flight is, but whatever it is, you’d be much better off using a script that did like 80% of that (to leave some margin for the rest of the system to use, also ISPs might not be happy with you maxing out your ICMP traffic).

Or more specifically, what is the sum of all latencies divided by the number of responses times the total numer of requests sent (to scale up for the ones that didn’t reply, assuming their average latency would have been similar to the total average)?

I mean, it’s a binary: either you like it or you don’t (plus the neutral option). The ratings in the meme were portion of people who liked it and didn’t. So you will either always fall with the majority or minority (or won’t care if you feel neutral about it). There is no wildly inaccurate for that, there’s just how many others you agree or disagree with.

Assuming their sample population is representative, at least, because what it says about the population can be inaccurate (but “my friend group all agrees with the minority side” doesn’t necessarily mean it’s inaccurate for the pop since your friend group probably doesn’t represent the entire pop).

Don’t feel too bad, Emu, Elmo made a similar mistake last week.

You have too many negatives there.

Should be “I didn’t say she did say they didn’t.”

Though… You also didn’t say that she didn’t say that they didn’t (that was the other commenter) so I guess you’re still accurate.

Remember when they started adding that shit and you could get kids who were running it kicked off the internet any time you said “fuck”?

Yeah, when my father died, there were a ton of old family photos, some were his, but others came from his parents or maybe even older than that. They were interesting to look through but no one really wanted them. I took some of them but they mostly just sit in a box now. Highly doubt my daughter will want them when I’m done, though maybe she will.

Memories are nice when looking through them, but it’s not like I’m often worrying about things I don’t remember without a reminder.

Though I should take more pictures of and with my daughter so she can have some memories. But I rarely even think about pulling out a camera most of the time.