There’s a pretty big difference between chatGPT and the science/medicine AIs.

And keep in mind that for LLMs and other chatbots, it’s not that they aren’t useful at all but that they aren’t useful enough to justify their costs. Microsoft is struggling to get significant uptake for Copilot addons in Microsoft 365, and this is when AI companies are still in their “sell below cost and light VC money on fire to survive long enough to gain market share” phase. What happens when the VC money dries up and AI companies have to double their prices (or more) in order to make enough revenue to cover their costs?

Good luck, I’m hoping that I can get a worker’s visa through my employer to move to the UK myself.

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This is gonna turn into the gamer version of “this is extremely dangerous to our democracy” isn’t it

Yup, being nice and polite to the people helping you is the single biggest way to get them to look the other way or have them bend the rules for you. The instant you start playing the asshole card, you usually get strict by-the-letter policy.

It’s amazing how many people forgot about the classical “get a rise out of everyone with shitty arguments” troll, or forgot that the way to deal with them was to ignore and ban on sight. Fuck, I was practically in diapers when Usenet and BBSes were a thing and I still remember “don’t feed the troll.”

Brought to you by the American National Automation Laboratory Corp?

Oh yes, let me just contact the manufacturer for this appliance and ask them to update it to support automated certificate renewa–

What’s that? “Device is end of life and will not receive further feature updates?” Okay, let me ask my boss if I can replace i–

What? “Equipment is working fine and there is no room in the budget for a replacement?” Okay, then let me see if I can find a workaround with existing equipme–

Huh? “Requested feature requires updating subscription to include advanced management capabilities?” Oh, fuck off…

I keep thinking of the anticapitalist manifesto that a spinoff team from the disco elysium developers dropped, and this part in particular stands out to me and helps crystallize exactly why I don’t like AI art:

All art is communication — dialogue across time, space and thought. In its rawest, it is one mind’s ability to provoke emotion in another. Large language models — simulacra, cold comfort, real-doll pocket-pussy, cyberspace freezer of an abandoned IM-chat — which are today passed off for “artificial intelligence”, will never be able to offer a dialogue with the vision of another human being.

Machine-generated works will never satisfy or substitute the human desire for art, as our desire for art is in its core a desire for communication with another, with a talent who speaks to us across worlds and ages to remind us of our all-encompassing human universality. There is no one to connect to in a large language model. The phone line is open but there’s no one on the other side.

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.

Or they’ll do shit like put Harris on full blast for not providing “detailed policies,” and then moving the goalposts to “but how do you pay for it” when she does, and nitpicking every word of every sentence she says. Meanwhile, Trump will cancel interviews, go up on stage at rally, spew a word salad response, and the NYT will bend over backwards to reword the salad to make him look better, while casting his decision to dodge a second debate as “smart” and avoiding any form of scrutiny as “efficient use of campaign funds.” At best, they’ll halfheartedly throw in a fact check like “his plan to fix inflation by levying tariffs will increase inflation” but they don’t dare portray him as the senile, hate-filled lunatic he is because they’re terrified of angering their right wing audience (who are already shifting away from legacy media anyway to reinforce their bubble). They also do this because virtually all forms of legacy media have been coopted by the billionaire sociopaths that would very much like a second Trump term to give them another tax cut and the “freedom” to pollute our world and grind the heel of their boot into the face of the working class so that they can race to become the first trillionaire.

When IT folks say devs don’t know about hardware, they’re usually talking about the forest-level overview in my experience. Stuff like how the software being developed integrates into an existing environment and how to optimize code to fit within the bounds of reality–it may be practical to dump a database directly into memory when it’s a 500 MB testing dataset on your local workstation, but it’s insane to do that with a 500+ GB database in production environment. Similarly, a program may run fine when it’s using a NVMe SSD, but lots of environments even today still depend on arrays of traditional electromechanical hard drives because they offer the most capacity per dollar, and aren’t as prone to suddenly tombstoning when it dies like flash media. Suddenly, once the program is in production, it turns out that same program’s making a bunch of random I/O calls that could be optimized into a more sequential request or batched together into a single transaction, and now it runs like dogshit and drags down every other VM, container, or service sharing that array with it. That’s not accounting for the real dumb shit I’ve read about, like “dev hard coded their local IP address and it breaks in production because of NAT” or “program crashes because it doesn’t account for network latency.”

Game dev is unique because you’re explicitly targeting a single known platform (for consoles) or targeting for an extremely wide range of performance specs (for PC), and hitting an acceptable level of performance pre-release is (somewhat) mandatory, so this kind of mindfulness is drilled into devs much more heavily than business software dev is, especially in-house dev. Business development is almost entirely focused on “does it run without failing catastrophically” and almost everything else–performance, security, cleanliness, resource optimization–is given bare lip service at best.

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. =|

The most jarring thing is when I was picking up a prescription for my cat, and on the way home I was driving next to a plain vanilla, factory-stock GMC truck whose hood was literally taller than my entire car. And I don’t drive a miata or some other sub-compact, I drive a freaking Nissan Leaf, so about the size of your average sedan.

Since then it’s like a switch flipped in my brain, and I can’t unsee just how insanely huge modern-day pickup trucks have gotten.

There was a period of blissful ignorance circa 2006 where the only thing I knew about him was that he was rich and starred in the apprentice. Then a black man became president and the world hasn’t been free of his stench ever since.

And now we’re in full mask-off accelerationist theory “it’s okay to let Trump win as long as Democrats are punished” bullshit. You’re unhappy with Democrats, so you’re okay with letting throwing literally everyone on the left in the US under the bus, along with the entire country of Ukraine, and throwing even more bombs at Gaza.

What an entitled, smug, self-righteous, holier-than-thou position, utterly divorced from real life consequences. Thanks for admitting that you’re a thoroughly unserious poster, though!

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.

Fine, you win, I misunderstood. I still disagree with your actual point, however. To me, Intelligence implies the ability to learn in real-time, to adapt to changes in circumstance, and for self-improvement. Once an LLM is trained, it is static and unchanging until you re-train it with new data and update the model. Even if you strip out the sapience/consciousness-related stuff like the ability to think critically about a scenario, proactively make decisions, etc., an LLM is only capable of regurgitating facts and responding to its immediate input. By design, any “learning” it can do is forgotten the instant the session ends.