Replying to @⁨Gork@sopuli.xyz⁩

Keep it as long as possible, the new shit suuuucks, is built to break & riddled with adware.

Back in my day ;) we had to worry about keeping up with the newest tech because you needed it for the best games or whatever.

These days, my desktop from 2014 can run all of the new games that I want to play (yes, even the demanding ones) It has 32 gigs ram and a 1660 Ti. That’s really all I need, especially since most of the games I enjoy AREN’T new.

Replying to @⁨extremeboredom@lemmy.world⁩

TechPowerUpASUS Z390 Motherboards Automatically Push Software into Your Windows InstallationDuring testing for our Intel Core i9-9900K review we found out that new ASUS Z390 motherboards automatically install software and drivers to your Windows 10 System, without the need for network access, and without any user knowledge or confirmation. This process happens in complete...

Replying to @⁨brem@lemmy.world⁩

well, that article disagrees with you though. That "feature" is only going to do anything to Windows installations.

Also, OS doesn't matter if it's a bios update.

The ASUS UEFI firmware exposes an ACPI table to Windows 10, called "WPBT" or "Windows Platform Binary Table". WPBT is used in the pre-built OEM industry, and is referred to as "the Vendor's Rootkit." Put simply, it is a script that makes Windows copy data from the BIOS to the System32 folder on the machine and execute it during Windows startup - every single time the system is booted.

also, https://github.com/Jamesits/dropWPBT

Disables the Windows Platform Binary Table (WPBT) in your UEFI firmware. - Jamesits/dropWPBTGitHubGitHub - Jamesits/dropWPBT: Disables the Windows Platform Binary Table (WPBT) in your UEFI firmware.Disables the Windows Platform Binary Table (WPBT) in your UEFI firmware. - Jamesits/dropWPBT

Replying to an earlier post

they really are horrible laptops, especially the ROG ones. Those things on day one you turn it on are like “alright, time to start killing myself”. you can keep all the fans constantly clean, repaste them every few months, and they’ll still cook themselves alive. and the AC adapter will die on you faster than the laptop itself. I had to replace the AC adapter on mine 3 times in 2 years.

Friends don’t let friends buy Asus laptops.

Replying to @⁨ScoffingLizard@lemmy.dbzer0.com⁩

Asus laptops are such trash. Same with Acer. I kept seeing people recommend them but every time I bought one it came with a major manufacturing defect or some important component failed almost immediately.

That happened to me three times and I had to return each laptop. So now when I buy a laptop, I only go for ThinkPads and MacBooks. And tbh it’ll only be macs going forward because Lenovo can’t be trusted.

Say what you will about apple but their hardware quality can’t be beaten and going forward there are people building Linux distros for them. So even when apple stops updating them you should have options.

Only thing that sucks is MacBooks are crazy expensive. So I buy them used/refurbed from good sellers on eBay. Haven’t had an issue yet.

Replying to @⁨Gork@sopuli.xyz⁩

Luckily two and a half years ago I decided it was time for a new computer. I go more than a decade between new PCs so it was just really dumb luck that I got a new computer when I did. And the reason I can go so long between computers is because I always get way more RAM than I need when I get a new one.

So given the current state of things, it’s a little awkward to admit how much RAM is in my computer.

Replying to @⁨CompactFlax@discuss.tchncs.de⁩

and they’ll just age out of usefulness.

Nah, we’ll stall on this generation. Even if a new one is released, very few will pay the extra when games would alreadyhave to start becoming RAM optimized again. Even Windows just dropped their 32GB recommendation.

Without the recommendation being met, people weren’t buying windows PCs, so lower the requirement and people will buy more computers and more copies of windows. Which means they always could have just optimized better if they felt pressure.

Games will 100% do the same.

Which could be a huge thing for rational companies right now.

The big hurdle to domestic production is you’ll spend billions and by the time it’s built it’s “last gen”.

Instead of useless data centers, we could be building up domestic chip production, confident it will still produce top of the line chips when it goes live.

A literal golden opportunity, more so if China goes after Taiwan finally, you’d be the only international supplier.

As far as I know, no country is doing it tho.

Replying to @⁨givesomefucks@lemmy.world⁩

I know you know this, but PC RAM is useful for a lot more than games. Workstation PCs are where I find this situation really hurts. I suppose that to an extent, some of what you describe might apply to development and design tools.

Before this shortage took off, I got a rock-5-itx (ARM computer) with a whopping 32GB of RAM which was definitely overkill for the home server I use it as, but now it feels insanely decadent. I’m looking for ways to utilize it, like running Immich with the full AI facial recognition features and whatnot, Nextcloud with the full text search, etc.

Replying to @⁨givesomefucks@lemmy.world⁩

You’re right about domestic production but I think the situation is much worse. We’ve tried to make advanced chips domestically and we can’t do it. Taiwan has had decades to perfect the resource allocation, supply chains, knowledge, and work culture to make those damn things.

It should be an executive order to make them domestically, and put up with the years of failure and low output. It’s a matter of national security to be able to create and maintain computers and other advanced tech.

Replying to @⁨Brkdncr@lemmy.world⁩

Taiwan has had decades to perfect the resource allocation, supply chains, knowledge, and work culture to make those damn things.

Uh, Apple taught them from scratch in less than 20 years.

Now they have a proven plan on how to do it, what to look out for.

Like, the on part Apple didn’t understand is that China was ok with Apple employees being treated as disposable, because they’d burn out, quit, (maybe) recover, and by then alreybe replaced.

Now an Apple trained employee needs a job and Apple won’t hire them back. Repeat that tens of thousands of times and before Apple releazied all they were doing was training their competition, it was too late.

It wouldn’t be “years of failure and low output”. It would be years of nothing to build the infrastructure and then flip a switch.

As a bonus this makes chips for weapons in parallel, something we desperately need to do.

This ain’t just a crackpot idea, and it’s not just mine.

It’s just any country that does it, risks kissing off the only manufacturer till up and running. It’s fucking with trillions of dollars. We need an arms race scenario with multiple countries trying to be first.

Replying to @⁨givesomefucks@lemmy.world⁩

Source on TSMC hiring ex-Apple employees lol

Apple uses TSMC’s services because there’s a huge difference between what Apple does (chip design) vs what TSMC does (chip manufacturing).

It wouldn’t be “years of failure and low output”. It would be years of nothing to build the infrastructure and then flip a switch.

No, the failure and low output come AFTER the switch is flipped, unless you get a TON of industry know-how from TSMC. First you have nothing, then you have low yields until you figure out the processes.

Replying to @⁨givesomefucks@lemmy.world⁩

None of the chips built for datacentres are useful for gaming. None of the RAM in these chips is useful for normal computing - even servers - much less home gaming.

AI compute believes it’s still in a “race” so they won’t want to be using previous gen chips unless forced to in some way.

This isn’t the “dark fibre” of the AI bubble. It’s just a future pile of trash.

Replying to @⁨CompactFlax@discuss.tchncs.de⁩

None of the chips built for datacentres are useful for gaming. None of the RAM in these chips is useful for normal computing - even servers - much less home gaming.

Yes, literally everyone knows that…

If you ask why the production of two different form factors that use the same infrastructure could effect the quantities produced, I can probably explain that for you.

But it’s like being surprised you have to wait in line at checkout despite being the only person in Costco buying a single can of grape soda, so hopefully you can figure it out from here.

Next time you feel like you’re missing something though, it’s easier to just ask first rather than hoping someone else takes all this time instead of just ignoring you and not explaining what you’re missing

Replying to an earlier post

My prediction:

  1. Investors continue to fuel demand, choking supply
  2. Plans to monetize LLMs don’t pan out
  3. Eventually, lenders call their margins
  4. Investors see the called margins and get spooked; demand fizzles
  5. AI companies desperately try to liquidate their positions. Seeing the price of components, there’s a rush to sell while prices are high.
  6. PC components flood the market
  7. Record high supply, record low prices
  8. PC gaming golden age

Replying to @⁨Dookieman12@piefed.social⁩

They aren’t PC components. They’re server GPUs.

They don’t even have ROPs anymore. There was a time when the Nvidia P100/A100 could technically game, but that’s generations ago.

FYI, during the crypto busts, Nvidia bought back GPUs and basically incinerated them to keep demand for new stuff up.

…I’m pretty sure that’s what they will do again.

Replying to an earlier post

OpenAI is likely to be the first domino to fall that causes the whole bubble to pop. They’re burning over $10-15 billion a year in losses, and have shown that any attempts to scale only increase that burn rate. They’re running out of investor money to toss into the fire.

And they just announced a last ditch free unlimited for everyone plan to…I dunno drum up interest or hope it converts to paying customers or something. So their costs are about to skyrocket even more, accelerating their death spiral

Replying to @⁨Haarukkateroitin@sopuli.xyz⁩

Softbank’s $40bn loan will be called on March 25, 2027. If they can’t roll this over it’s the banking equivalent of a margin call.

SoftBank Group Corp.Execution of Bridge Facility Agreement Primarily for the Follow-on Investments in OpenAI | SoftBank Group Corp.SoftBank Group Corp. today announced that it entered into a bridge facility agreement with a total facility amount of USD 40.0 billion (JPY 6,384.0 billion*1).

Replying to an earlier post

HBM and Vera Rubin are not useful for PC Gaming, at least not for current architectures. Main issue is that DDR5 production simply got cut to make more HBM. But there will be a huge amount of LPDDR, NVME / SSD drives and refurbished Hard Drives available, and hardware for running inference at home for pretty powerful models will become cheap as fuck, liberating us all from the hyperscalers; the open weights models from china are available for everyone.

At least i pray it will be this way.

Replying to @⁨poopkins@lemmy.world⁩

If the memory wafers are largely HBM, so they can’t be used for gaming hardware.

If you’re thinking of HBM gaming GPUs, the chip design pipeline is too long. If Nvidia/AMD/Intel started making one right now, and rushed it, it would still be many years away.

…However, a lot of LPDDR5 is being made too.

Hence the rumors of AMD hedging their bets and using LPDDR for some future GPUs.

Replying to @⁨PalmTreeIsBestTree@lemmy.world⁩

I’m not sure I worded this right before, but it takes ~half a decade to plan and produce a GPU.

They can’t just switch out the bus or memory on an existing design.

So they could make a HBM gaming GPU. But they would have had to have started ~2 years ago.

…That’s extremely unlikely.

It’s unlikely they’ll even plan one now.

AMD did indeed try making HBM gaming GPUs, and it turns out it’s supremely uneconomical; they immediately pivoted to the opposite extreme (narrow bus + larger cache).

However, LPDDR GPUs appear to already be in the pipe, so that will provide some GPU market relief.

Replying to an earlier post

I’ve never heard of uncut wavers hitting storage or the market. These things are made to be used for whatever is needed at the moment. If you hear this news regarding “Ram cap sold out”, it means all available wavers they expect to be produced for that year have been allocated to whoever paid for them. If 50% of the wavers go into HBM, 30% into DDR including LPDDR and 20% go into NAND storage (i do not have the exact numbers, but i know that HBM needs around 3x the amount of silicon compared to DDR), then you are done selling your capacity - whatever happens afterwards does not make DDR5 appear magically on the market.

Only thing that could change that would be that the AI bubble crashes before 2027, then the allocation numbers will be changed.

Replying to @⁨Wildmimic@anarchist.nexus⁩

Not sure what you mean with the wafers hitting the market. I was only referring to the specific deal that OpenAI made with Samsung and SK hynix to purchase a metric boatload of 900,000 undiced DRAM silicon wafers per month.

According to Tom’s Hardware it includes “DDR5 and LPDDR4/LPDDR5 as well as premium HBM.”

Honestly I’m not sufficiently familiar with how that works to understand if any of that is consumer grade stuff.

SamsungTom's HardwareOpenAI's Stargate project to consume up to 40% of global DRAM output — inks deal with Samsung and SK hynix to the tune of up to 900,000 wafers per monthWorking at scale.

Replying to an earlier post

That means they have bought out the wavers - with a specific allocation for HBM/DDR/LPDDR/NAND as they need it. they know what percentages of what they need to reach the balance they use in their racks, and that will be what was ordered in detail.

The DDR5 can be used in common PCs, but it’s a different story with LPDDR. I have heard of an adapter to make LPDDR useable in common PCs, while i haven’t seen anything like that for HBM - and i wouldn’t bet on such an teck being available for the consumer market amytime soon, the architecture is quite different.

Replying to @⁨turmacar@lemmy.world⁩

But isn’t it kind of a game of chicken then for the consumer markets? Whoever gambles the other way, can win in both volume and availability, being able to cut the others off market just by pricing, enabled by the prior two points, get brand points by the ladle while at it, and kind of become a staple of the consumer market. When the bubble pops and others return, the market isn’t the same and everyone else sits at a disadvantage?

Replying to @⁨jordanlund@lemmy.world⁩

So that you can’t.

You can’t organize against billionaires online if walled garden censored posting to the cloud is the only thing available to anyone. You can’t pirate media if you can’t store media locally. You can’t run a ad blocker if they’re not allowed on their app store. You can’t install linux if your tablet can’t be jailbroken.

You have too much freedom. They must have control back. We allowed them to have enough money to take it, they just had to fool the rubes with the promise of utopian robotic labor via addiction.

Replying to @⁨napkin2020@sh.itjust.works⁩

its nvidia and AI creating a bubble on the belief they’ll be able to get profit and get out before it pops.

But all it is… is imaginary money going around in circles. nvidia invests a trillion in AI, AI buys a trillion dollars of nvidia videocards from some nebulous point in the future where they arent made yet, nvidia invests that trillion back into AI, AI uses it to buy ridiculous amounts of ram that wont be made for years, RAM invests it back into AI, and on and on they go, generating imaginary money and value, by buying imaginary things.

under a sane government this would be investigated as raw stock manipulation and fraud

I really hope when this bubble pops nvidia is destroyed in the process along with the AI companies.

Replying to @⁨zbyte64@awful.systems⁩

Assembly code isn’t ”compiled”. To quote wikipedia:

Assembly code is converted into executable machine code by a utility program referred to as an assembler. […] The conversion process is referred to as assembly, as in assembling the source code. The computational step when an assembler is processing a program is called assembly time.

My point is that people are already trying to replace compilers with LLMs, and yes, it is stupid as shit, but still real.

Also, maybe see if an LLM can help you detect sarcasm without explicit content tagging.

Replying to @⁨leanleft@lemmy.ml⁩

Who cares about ugly-looking assembly ? No one’s gonna actually look at it, that’s, like, the whole point of C. And I really doubt the plagiarism machine can somehow do better than a compiler. I’m gonna look this up

Edit : is it this one ? arxiv.org/html/2505.11480v1

arxiv.orgImproving Assembly Code Performance with Large Language Models via Reinforcement Learning

Replying to @⁨Simulation6@sopuli.xyz⁩

OpenAI has a deal with Samsung and SK Hynix to purchase 900,000 DRAM wafers per month, or 40% of global DRAM output. These are just uncut wafers, accumulating in warehouses that serve two purposes:

  • Prepares them for the distribution to data centers,
  • Manipulates the supply chain to squeeze their competitors, who are left with slim pickings.

You and I are the victims of this until the bubble finally pops and the deal falls through.

Replying to @⁨poopkins@lemmy.world⁩

You and I are the victims

We’re way downstream. The “victims” are all the SaaS and smaller market cap firms that need business compute for accounting and commerce.

Case in point, I got a request for a new server delayed three months because we blew through our Q1 budget for new hardware faster than expected.

That’s not really hurting me, personally. But it means our server teams need to do more with less even as the business expands.

Replying to @⁨Simulation6@sopuli.xyz⁩

It’s because it’s a Ponzi scheme. Huge amounts of investment dollars are being dumped into AI and anything related to AI. If you build any kind of chips that are used in AI datacenters, you suddenly have a bunch of money invested in your company. What do you do with it? You make a deal with OpenAI (or one of the other ones) that you’ll invest that money into them if they agree to buy a bunch of chips from you. Now you have revenue on books and are showing a reasonable return on that investment.

If you were a chip manufacturer and actually believed that there was a big future in AI, you’d be using those investment dollars to build some more chip fabs. And some of these companies are doing that. But overall, moving money to another company so they will order chips for datacenters that aren’t built yet (and may never be built) is just bubble ponzi shenanigans.

Computer hardware depreciates in value very quickly. You don’t buy hardware today so you can install that hardware in a datacenter that won’t be online for another year.

Replying to @⁨SpaceCowboy@lemmy.ca⁩

If you were a chip manufacturer and actually believed that there was a big future in AI, you’d be using those investment dollars to build some more chip fabs.

Major new semiconductor fabrication plant projects are expanding across the United States, led by a $16.8 billion SpaceX and Tesla “Terafab” project in Grimes County, Texas, massive expansions by TSMC in Arizona, and Samsung’s ongoing fab development in Taylor, Texas.

Computer hardware depreciates in value very quickly. You don’t buy hardware today so you can install that hardware in a datacenter that won’t be online for another year.

Hardly unusual for speculators to buy up a hot commodity the day of release and then resell it into an inflated secondary market a few days or weeks later.

Replying to @⁨Smoogs@lemmy.world⁩

I can’t tell if you’re actually asking or if your question was rhetorical but I’ll go ahead and answer. This is over simplified but this is basically what is being reported:

The RAM companies know how much RAM each of their factories can make in a given hour, day, month, year, etc.

To keep math simple, let’s say the RAM company owns 1 factory. They can make 100 chips in that factory per year. In January 2026, Company A orders 50 chips, Company B orders 50 chips, Company C orders 50 chips, and Company D orders 50 chips. It’ll take 2 years to complete those orders. Maybe each company gets some chips every month for 2 years or maybe it’s first come first serve. Regardless, 2 years. The factories are at max capacity, they physically can’t make them faster.

The only way to make more chips is to build another factory which takes time. But what if you make a lot of money overcharging customers? What if you think AI might be a bubble and demand will go down? Speaking as a company, building a new factory might not be worth the investment.