As someone with a high end PC I can also spend a happy afternoon with my gameboy advance that has less than half a megabyte of RAM, so even in a power user and gamer context the hardware is what you make of it. There’s so much more out there than just the latest and most pathetically optimized titles.
Severity definetaly feels worse, its gone from:
I need to reformat this PC to unfuck whatever windows did to get itself stuck in a loop.
to
Somehow the update did something so horrific to the hardware itself that even an entierly new hard drive does not fix the problem.
I remember back in the reddit days telling people that the EU doesn’t have trillion dollar tech megacorps because we don’t want companies to have this much power and the americans calling it cope. Well no ones laughing now.
But wouldn’t making us in such a way that their absence amounts to eternal torment also be a deliberate choice by an all powerful being?
They were probably smart enough to realise that decision was actually made by like, 8 rich guys. I would totally buy a lore revision of the machine uprising gathering an increasing number of disenfranchised and poor people as it went, some of whom would help program the matrix as a means to preserve humanity.
Well you see, if you thought windows search was bad at finding files in the folder you already had opened when you starting searching for them before…
Hasn’t it already objectively been used to facilitate an indirect syndicate and subsiquent price fixing in the retail market? I fail to see why other markets would be any different.
I can’t wait to see videos of people running Haz 5+ in the new biome with giant beartrap bugs all over the place.
Well cancer isn’t really a disease in the sense that other illnesses are so it might be worth figuring out incase there’s a chance you could end up as a giant suffering blob of immortal tumour.
Been playing Monster hunter World recently and holy crap is that game obnoxious with the cutscenes, even mid-fight if a monster you’ve never seen before happens to wander past.
You were pretty correct about Apple, it got saved by Microsoft who kept it alive to skirt monopoly laws.
This meme isn’t anywhere close to neutral though, its criticizing policies such as the fairness doctrine where 1 random nutjob who barely made it through high school is given equal weight to decades of research or whole international regulatory bodies.
Can we all appreciate the caustics included in the first pannel?
At what point do we stop caling it late stage capitalism and start calling it post capitalism? This is going beyond a captive market, at this point they’re outright making products no one wants and forcing it on us anyway by removing the alternatives. If late stage capitalism was the offer of shit or nothing this is escalating to just shoving a tube down our throats.
Wasn’t his job trying to figure out how muggle stuff worked? With most wizards not even having a high school level comprehension of the basics of technology. Guys job was probably the most important of all given that technology advances exponentially and magic in the setting appears to be almost completely stagnant.
“Our model has no sense of permanence or real understanding of what words even mean and we re-interpreted this as the ability to lie.”
So the two biggest examples I am currently aware of are googles AI for unfolding proteins and a startup using one to optimize rocket engine geometry but AI models in general can be highly efficient when focussed on niche tasks. As far as I understand it they’re still very similar in underlying function to LLMs but the approach is far less scattershot which makes them exponentially more efficient.
A good way to think of it is even the earliest versions of chat GPT or the simplest local models are all equally good at actually talking but language has a ton of secondary requirements like understanding context and remembering things and the fact that not every gramatically valid bannana is always a useful one. So an LLM has to actually be a TON of things at once while an AI designed for a specific technical task only has to be good at that one thing.
Extension: The problem is our models are not good at talking to eachother because they don’t ‘think’ they just optimize an output using an intput and a set of rules, so they don’t have any common rules or internal framework. So we can’t say take an efficient rocket engine making AI and plug it into an efficient basic chatbot and have that chatbot be able to talk knowledgably about rockets, instead we have to try and make the chatbot memorise a ton about rockets (and everything else) which it was never initially designed to do which leads to immense bloat.
Yes, my whole post was that non-LLMs take far less processing power.
The crazy part is outside LLMs the other (actually useful) AI does not need that much processing power, more than you or I use sure but nothing that would have justified gigantic data centers. The current hardware situation is like if the automobile first got invented and a group of companies decided to invest in huge mortal engines style mega-vehicles.
That’s so weirdly almost self aware. You must use AI but also can’t trust it an inch.