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.
The problem is that there’s no incentive for employees to stay beyond a few years. Why spend months or years training someone if they leave after the second year?
But then you have to question why employees aren’t loyal any longer, and that’s because pensions and benefits have eroded, and your pay doesn’t keep up as you stay longer at a company. Why stay at a company for 20, 30, or 40 years when you can come out way ahead financially by hopping jobs every 2-4 years?
Holy crap, what a garbage ragebait article
Saving you a click: there’s no new info here, it’s just the same hullabaloo over the guy who made the accusations rescaling the models so they’re the same size, and the author treating it as proof they faked it all
Which, I don’t personally have a strong opinion on whether it’s faked (especially since it’s been pointed out that models made using different programs and for different platforms can import in drastically different sizes) but it feels kind of disingenuous to say that it’s faked just because of that, y’know? It’s like if an artist takes a 1440p resolution image, traces over it, and posts the traced image in 720p resolution. I wouldn’t consider blowing up the traced 720p to 1440p as “faking” it or altering the traced image.
It makes sense to judge how closely LLMs mimic human learning when people are using it as a defense to AI companies scraping copyrighted content, and making the claim that banning AI scraping is as nonsensical as banning human learning.
But when it’s pointed out that LLMs don’t learn very similarly to humans, and require scraping far more material than a human does, suddenly AIs shouldn’t be judged by human standards? I don’t know if it’s intentional on your part, but that’s a pretty classic example of a motte-and-bailey fallacy. You can’t have it both ways.
Hell, I’ve seen accusations that the author of this mod made literally that exact mod for BG3 that “fixed” Wyll and his father by turning them white. Shit’s disgusting.
The Sharrans’ Shadow Ambush ability will now only trigger on weapon attacks.
Son of a… I just did this stupid fight YESTERDAY and they nerfed it the very next day! The mages causing 10-20 AOE necrotic damage every time they cast Darkness was easily the single most BS part of the fight, I had to look up a cheese blade barrier/wall of fire strategy to eventually beat it.
Who even knows? For whatever reason the board decided to keep quiet, didn’t elaborate on its reasoning, let Altman and his allies control the narrative, and rolled over when the employees inevitably revolted. All we have is speculation and unnamed “sources close to the matter,” which you may or may not find credible.
Even if the actual reasoning was absolutely justified–and knowing how much of a techbro Altman is (especially with his insanely creepy project to combine cryptocurrency with retina scans), I absolutely believe the speculation that the board felt Altman wasn’t trustworthy–they didn’t bother to actually tell anyone that reasoning, and clearly felt they could just weather the firestorm up until they realized it was too late and they’d already shot themselves in the foot.
…So your metric of “too much AI safety” is that it won’t let you fuck the fish…?
The speculation I heard in the Ars Technica article is that the board was unhappy with how quickly he was pushing to commercialize OpenAI, and they were wary about all the AI side hustles he was starting, including an AI chip company to compete with nvidia.
The only game my 1060 truly struggled with was my pirated copy of Hogwarts Legacy, though there has been a few other games that would chug in parts like RDR2. I wound up replacing it with a 6950XTX I found on sale for less than some lower end cards like the 3070, so I think I made out okay.
(I really wish I’d picked a better game to upgrade over than fucking Hogwarts Legacy, though. Biggest disappointment in years.)
Yeah, as someone in a tech job whose primary function is “parsing and interpreting logs” sometimes even the repeated flood of seemingly useless logs can be helpful. If nothing else, they explain why there aren’t any useful logs and that can guide how I respond to the problem.
Yeah, I feel like having someone who can cast Magic Missile is almost mandatory for that fight, simply because the illusions have 1 HP, are very spread out, and Magic Missile can target multiple enemies and is guaranteed to hit. It’s perfect for killing almost all of the illusions in a single turn.
I think it’s sorta okay that the enemies don’t get too much stronger, especially since (at least for casters) a lot of the added power comes in the form of gaining access to stupidly OP spells like Hypnotic Pattern. I don’t think it would be very fun if enemies started using tactics that amounted to “Hahaha, I rolled higher initiative so now you don’t get to play for the next three rounds while I can do whatever I want.”
Not OP, but I think the point they’re making is that LTT screwed up the video, and that the drama sparked from LTT’s screwup gave Billet a lot of publicity they wouldn’t have had otherwise.
Personally, I’d trade the publicity for my only working prototype and $2,000 GPU back and a video that didn’t shit on me, but if you believe any publicity is good publicity…
This is admittedly REALLY pedantic, but there were some non-game cartridges released for the NES and SNES, such as Taboo: The Sixth Sense (a tarot card reading program), Miracle Piano (a program for teaching how to play the piano), Mario Paint (a basic music composition and drawing program), and a modem add-on for the Famicom that supported banking, stock trading, and horse race betting.
It’s very user friendly in terms of tooltips, and if you don’t make deliberately bad choices during level up (e.g. taking a feat that gives you a cantrip from the Wizard class… that scales off your INT score… while playing a Barbarian with 8 intelligence that can’t cast spells while raging) it’s fairly difficult to make an unplayably bad character.
There’s a few cases where some general knowledge of D&D is helpful, such as knowing to never take True Strike because it’s literally worse than just attacking twice and having some knowledge of good builds is useful, since it helps guide what you take when you level up. That said, there’s also entire categories of actions in BG3 that don’t really have an equivalent rule in TTRPG 5e, such as weapon proficiency attacks, so online cookie cutter builds don’t capture the full extent of what you can do.
I mean, even a cursory search on Google shows that smart TVs can gather a hell of a lot more data than just that, up to and including analyzing the actual video being displayed to figure out what you’re watching
Smart TVs will collect your personal info and viewing habits and send it to the manufacturer of they’re given half a chance
Some scummy brands will even configure their TVs to automatically and silently connect to open wifi networks to phone home
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!