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Comment on So Far, AI Is a Money Pit That Isn't Paying Off
WrittenWeird@lemmy.world 11 months agoThe current breed of generative “AI” won’t ‘die out’. It’s here to stay. We are just in the early Wild-West days of it, where everyone’s rushing to grab a piece of the pie, but the shine is starting to wear off and the hype is juuuuust past its peak.
What you’ll see soon is the “enshittification” of services like ChatGPT as the financial reckoning comes, startup variants shut down by the truckload, and the big names put more and more features behind paywalls. We’ve gone past the “just make it work” phase, now we are moving into the “just make it sustainable/profitable” phase.
lurch@sh.itjust.works 11 months ago
Sanctus@lemmy.world 11 months ago
Flash games did not die out because people stopped playing them. The smart phone was created and this changed the entire landscape of small game development.
o0joshua0o@lemmy.world 11 months ago
Steve Jobs killed Flash. It was premeditated.
FaceDeer@kbin.social 11 months ago
If it had been killed without an adequate replacement (mobile gaming) then people wouldn't have let Flash die. There are open-source flash players.
iwenthometobeafamilyman@lemmy.world 11 months ago
Porn will keep 2D graphic generative AI alive, at least.
deranger@sh.itjust.works 11 months ago
It doesn’t even existing in the medical field, stop lying
iwenthometobeafamilyman@lemmy.world 11 months ago
fda.gov/…/artificial-intelligence-and-machine-lea…
You’re the one who’s lying. Your job ain’t safe and you ain’t special.
Szymon@lemmy.ca 11 months ago
Flash games didnt die on their own, the technology was purposefully killed off via similar corporate requirements to maximize profits.
kirklennon@kbin.social 11 months ago
It died because Safari for iPhone supported only open web standards. Flash was also the leading cause of crashes on the Mac because it was so poorly-written. It was also a huge security vulnerability and a leading vector for malware, and Adobe just straight up wasn't able to get it running well on phones. Flash games were also designed with the assumption of a keyboard and mouse so many could never work right on touchscreen devices.
Szymon@lemmy.ca 11 months ago
There you go, lots of reasons care of this person here
_number8_@lemmy.world 11 months ago
GPT already got way shittier from the version we all saw when it first came out to the heavily curated, walled garden version now in use
GenderNeutralBro@lemmy.sdf.org 11 months ago
This is why I, as a user, am far more interested in open-source projects that can be run locally on pro/consumer hardware. All of these cloud services are headed down the crapper.
My prediction is that in the next couple years we’ll see a move away from monolithic LLMs like ChatGPT and toward programs that integrate smaller, more specialized models. Apple and even Google are pushing for more locally-run AI, and designing their own silicon to run it. It’s faster, cheaper, and private. We will not be able to run something as big as ChatGPT on consumer hardware for decades (it takes hundreds of gigabytes of memory at minimum), but we can get a lot of the functionality with smaller, faster, cheaper models.
WrittenWeird@lemmy.world 11 months ago
Definitely. I have experimented with image generation on my own mid-range RX GPU and though it was slow, it worked. I have not tried the latest driver update that’s supposed to accelerate those tools dramatically, but local AI workstations with dedicated silicon are the future. CPU, GPU, AIPU?
FaceDeer@kbin.social 11 months ago
Hundreds of gigabytes of memory in consumer PCs is not decades away. There are already motherboards that accept 128 GB.
GenderNeutralBro@lemmy.sdf.org 11 months ago
You’re right, I shouldn’t say decades. It will be decades before that’s standard or common in the consumer space, but it could be possible to run on desktops within the next generation (~5 years). It’d just be very expensive.
High-end consumer PCs can currently support 192GB, and that might increase to 256 within this generation when we get 64GB DDR5 modules. But we’d need 384 to run BLOOM, for instance. That requires a platform that supports more than 4 DIMMs, e.g. Intel Xeon or AMD Threadripper, or 96GB DIMMs (not yet available in the consumer space). Not sure when we’ll get consumer mobos that support that much.
nodsocket@lemmy.world 11 months ago
Wait, you guys don’t already have hundreds of gigabytes of memory?
GenderNeutralBro@lemmy.sdf.org 11 months ago
Technically I could upgrade my desktop to 192GB of memory (4x48). That’s still only about half the amount required for the largest BLOOM model, for instance.
To go beyond that today, you’d need to move beyond the Intel Core or AMD Ryzen platforms and get something like a Xeon. At that point you’re spending 5 figures on hardware.
I know you’re just joking, but figured I’d add context for anyone wondering.
p03locke@lemmy.dbzer0.com 11 months ago
Don’t worry about the RAM. Worry about the VRAM.
nodsocket@lemmy.world 11 months ago
Google drive is my swap space