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Who is upgrading a GPU for Diablo?! I played Diablo 3 on a MacBook...
Have noticed a couple of bits have ticked up a little. Like it's harder to find a 4070 for £560 now. Hadn't thought about diablo 4 being the specific culprit though! Probably a bit of AI hype driving sales to entry level hobbyists etc. as well.
i mean many gpu give you a free d4 code when you buy it so maybe they are doing it cause they want the game and have a potato gpu atm
Nvidia's market cap is 38 times their revenue, wrap your head around that and say it's not a bubble based on speculation.
I could see someone upgrading regardless if they found a GPU at a super low price, thanks to the bundle they save even more not having to buy D4 so it could be a fairly nice little win for a few individuals.
videocardz.com
I'm *inclined to agree but like i said based on recent conversations some people seem to actually believe it's because AI is the second coming and because Nvidia are at the forefront of that it's totally reasonable.
That was me last year, wasn't impressed by anything because of the pricing so bought a 65" Qd-Oled.
Like I said before... The higher the margins, the more incentives for more players to come back.
Sounds like bubble talk to me.I'm *inclined to agree but like i said based on recent conversations some people seem to actually believe it's because AI is the second coming and because Nvidia are at the forefront of that it's totally reasonable.
*As i said I'm not a financial expert, heck i wasn't even aware it was 38 times their revenue until you mentioned it, I'm just a layman who thinks they've seen something that walks and quacks like a duck.
AI in itself is not a bubble, high GPU prices very likely are.Sounds like bubble talk to me.
I think the AI stuff is sort of part real, part bubble. Clearly we're getting something of value at the moment out of e.g. GPT but at the same time I think it's being misunderstood/overhyped in itself.
Given the current development trend more than a wall it will be a steep incline of diminishing returns, GPT and generative AI are good but models cannot get much more massive before costing a space program worth of training (GPT3 training costed around $12 million just for datacenter fees!) and screening training data for quality is going to be *expensive*.
you just train another ai to screen for quality data and boom! ai all the way down till you get to step 4, profit!
And how do you define what quality data is? Training an effective large language model is a gargantuan task that goes beyond what most people can grasp, I do machine learning in my job and it would require me years of study before even attempting such a task.
I think our corporate overlords will have a quicker idea: decide on a rough set of vaguely good sounding principles and delegate the rest to an army of contractors who will label as much as the budget will allow as good or bad under a peer review process.
That works for generic content, the kind of contractors needed for high quality stuff have fees starting with several hundred dollars per day.
