Yeah, suuuuure you weren’t.
Note that the proof also generalizes to any form of creating an AI by training it on a dataset, not just LLMs. But sure, we’ll absolutely develop an entirely new approach to cognitive science in a few years, we’re definitely not boiling the planet and funneling enough money to end world poverty several times over into a scientific dead end!
You literally were LMAO
Other than that, we will keep incrementally improving our technology and it’s only a matter of time untill we get there. May take 5 years, 50 or 500 but it seems pretty inevitable to me.
Literally a direct quote. In what world is this not talking about LLMs?
Did you read the article, or the actual research paper? They present a mathematical proof that any hypothetical method of training an AI that produces an algorithm that performs better than random chance could also be used to solve a known intractible problem, which is impossible with all known current methods. This means that any algorithm we can produce that works by training an AI would run in exponential time or worse.
The paper authors point out that this also has severe implications for current AI, too–since the current AI-by-learning method that underpins all LLMs is fundamentally NP-hard and can’t run in polynomial time, “the sample-and-time requirements grow non-polynomially (e.g. exponentially or worse) in n.” They present a thought experiment of an AI that handles a 15-minute conversation, assuming 60 words are spoken per minute (keep in mind the average is roughly 160). The resources this AI would require to process this would be 60*15 = 900. The authors then conclude:
“Now the AI needs to learn to respond appropriately to conversations of this size (and not just to short prompts). Since resource requirements for AI-by-Learning grow exponentially or worse, let us take a simple exponential function O(2n ) as our proxy of the order of magnitude of resources needed as a function of n. 2^900 ∼ 10^270 is already unimaginably larger than the number of atoms in the universe (∼10^81 ). Imagine us sampling this super-astronomical space of possible situations using so-called ‘Big Data’. Even if we grant that billions of trillions (10 21 ) of relevant data samples could be generated (or scraped) and stored, then this is still but a miniscule proportion of the order of magnitude of samples needed to solve the learning problem for even moderate size n.”
That’s why LLMs are a dead end.
I gave up on it for now when the questline involving the NPC learning to write broke, and then I started crashing to desktop (without any logs anywhere, either in the Buffout directory or even in Windows’ Event Viewer) every time I left the Swan or fast traveled directly to it, even though traveling to another point literally fifty feet south worked just fine. And since there’s no logs describing the crash, I have no idea how to fix it.
I could probably fix it by uninstalling and re-downloading it again, but I have a goddamn data cap that my roommate already blows through every month with the fucking massive updates Fallout 76 has taken to pushing out, I have zero desire to download 60 GB of data (30 GB base game + 30 GB FOLON) every fucking time I sneeze wrong and make the game start crashing again. =|
It’s pretty okay. If you like the gameplay loop of scavenging parts to maintain and upgrade your car, and don’t mind the roguelite elements, it’s pretty fun, and it does a good job of creating tension–there’s been multiple occasions where I wanted to loot more but I was out of time and likely to die if I stayed much longer.
The world building is immaculate, but IMO unfortunately the plot doesn’t really pay off, and the ending isn’t… super satisfying. It does enough to drive you along (no pun intended). The best part of the game is easily the soundtrack, and the best song in the soundtrack is easily The Freeze.
Are you talking about the chibi models vs. more realistic models? I think that was an artifact of an FF trope left over from the NES era where the world sprites were limited to one tile due to NES hardware limitations while the battle sprites were more detailed 1x2 tiles, and this was kept all the way up to FF6 where they finally used the same sprite for world and battles.
I have no clue why they went back to using different/less detailed models for world exploration in FF7 (if I had to guess they were unfamiliar with the PSX hardware and the chibi models used fewer polygons), but that go a long way to explain why the FMVs sometimes used different models–IIRC, the FMVs with chibi models played directly from the field, and the ones with more detailed models had some kind of scene transition into them, or otherwise were used for major plot beats. It’s good they abandoned this entirely with FF8 onwards, though.
Basically, X11/Xorg doesn’t isolate programs from one another. This is horrible for security since malicious software can read every window, as well as all the input from mice and keyboards, just by querying the X server, but it’s also handy for screen reading software, streaming, etc. Meanwhile, Wayland isolates programs in their own sandbox, which prevents, say, a malicious browser tab from reading all of your keyboard inputs and logging your root password, but also breaks those things we like to use. To make matters worse, it looks like everyone’s answer for this and similar dilemmas wasn’t “let’s fix Wayland” but “let’s develop an extension to fix Wayland” and we wound up with that one fucking xkcd standards comic that I won’t bother linking because everyone has seen it a zillion times.
ETA: Basically, my (layman’s) understanding is that fixing this and making screen readers work in Wayland is hard because the core Wayland developers seem to have little appetite for fixing this themselves. Meanwhile, there’s 3-4 implementations of Wayland that do things differently, so fixing it via extensions means either writing multiple backends in your program to do the same damn thing (aka a giant pain in the ass) or getting everyone to agree on the same standard implementation (good fucking luck).
God, yes, I tried to get into the game twice and both times I bounced off right around the part where you go from Hell on Earth to a fucking high fantasy castle on some random planet. I’ll just replay Doom 2016 if I want to shoot some demons.
Funny, I thought of mentioning Crash Bandicoot, but when I put myself into the shoes of 12-year-old me, the single game that came to mind when I thought PlayStation was Final Fantasy 7 more than anything else.
I’m no game designer or coder so I’m just going off what I read on Wikipedia, but… Apparently the Saturn was a mostly 2D focused system, so it had a processor that could do warping and manipulation of sprites. So when it drew a “polygon” it was really drawing together a bunch of sprites and manipulating them.
…yeah.
Nobody wanted to develop for it because it had an insanely complex architecture (3x 32-bit processors and dual CPUs that shared a bus and couldn’t access RAM at the same time), and developers in the 90s were unaccustomed to multi-core programming. It also used quadrilaterals for the baseline polygon instead of triangles. All this was made worse by poor development tools around launch, leaving most coders stuck using raw assembly language until Sega wrote custom libraries.
Sega also never really had a killer app for it like Mario 64 was for the N64, or FF7 was for the PlayStation. They were developing a game called Sonic XTreme, but it wound up getting canceled.
This is gonna turn into the gamer version of “this is extremely dangerous to our democracy” isn’t it