Hopefully this means the haters will shut up and we can get on with using it for useful stuff
I mean, machine learning and AI does have benefits especially in research in the medical field. The consumer AI products are just stupid though.
It’s help me learn coding, Spanish, and helped me build scripts of which I would never have been able to do by myself or with technical works alone.
If we’re talking specifically about the value I get out of what Gpt is right now, its priceless to me. Like my second, albeit braindead, systems administrator on my shoulder when I need something I don’t want to type out myself. And what ever mistakes it makes is within my abilities to repair on my own without fighting for it.
No, no, and also no. Try again? Or cram your face into a blender? Either is good with me
That would be absolutely amazing. How can we work out a community effort that is designed to teach, you some crowdsource tests maybe we can bring education to the masses for free…
That would indeed be great but completely unrelated to what I said so I suspect you may have answered the wrong person
It’s like the least popular opinion I have here on Lemmy, but I assure you, this is the begining.
Yes, we’ll see a dotcom style bust. But it’s not like the world today wasn’t literally invented in that time. Do you remember where image generation was 3 years ago? It was a complete joke compared to a year ago, and today, fuck no one here would know.
When code generation goes through that same cycle, you can put out an idea in plain language, and get back code that just “does” it.
I have no idea what that means for the future of my humanity.
you can put out an idea in plain language, and get back code that just “does” it
No you can’t. Simplifying it grossly:
They can’t do the most low-level, dumbest detail, splitting hairs, “there’s no spoon”, “this is just correct no matter how much you blabber in the opposite direction, this is just wrong no matter how much you blabber to support it” kind of solutions.
And that happens to be main requirement that makes a task worth software developer’s time.
We need software developers to write computer programs, because “a general idea” even in a formalized language is not sufficient, you need to address details of actual reality. That is the bottleneck.
That technology widens the passage in the places which were not the bottleneck in the first place.
I think you live in a nonsense world. I literally use it everyday and yes, sometimes it’s shit and it’s bad at anything that even requires a modicum of creativity. But 90% of shit doesn’t require a modicum of creativity. And my point isn’t about where we’re at, it’s about how far the same tech progressed on another domain adjacent task in three years.
Lemmy has a “dismiss AI” fetish and does so at its own peril.
Are you a software developer? Or a hardware engineer? EDIT: Or anyone credible in evaluating my nonsense world against yours?
And my point isn’t about where we’re at, it’s about how far the same tech progressed on another domain adjacent task in three years.
First off, are you extrapolating the middle part of the sigmoid thinking it’s an exponential. Secondly, https://link.springer.com/content/pdf/10.1007/s11633-017-1093-8.pdf
And I wouldn’t know where to start using it. My problems are often of the “integrate two badly documented company-internal APIs” variety. LLMs can’t do shit about that; they weren’t trained for it.
They’re nice for basic rote work but that’s often not what you deal with in a mature codebase.
this is just wrong no matter how much you blabber to support it" kind of solutions.
When you put it like that, I might be a perfect fit in today’s world with the loudest voice wins landscape.
I regularly think and post conspiracy theory thoughts about why the “AI” is such a hype. And in line with them a certain kind of people seem to think that reality doesn’t matter, because those who control the present control the past and the future. That is, they think that controlling the discourse can replace controlling the reality. The issue with that is that whether a bomb is set, whether a boat is sea-worthy, whether a bridge will fall is not defined by discourse.
I agree with you but not for the reason you think.
I think the golden age of ML is right around the corner, but it won’t be AGI.
It would be image recognition and video upscaling, you know, the boring stuff that is not game changing but possibly useful.
Wether we like it or not AI is here to stay, and in 20-30 years, it’ll be as embedded in our lives as computers and smartphones are now.
Is there a “young man yells at clouds meme” here?
“Yes, you’re very clever calling out the hype train. Oooh, what a smart boy you are!” Until the dust settles…
Lemmy sounds like my grandma in 1998, “Pushah. This ‘internet’ is just a fad.'”
Yeah, the early Internet didn’t require 5 tons of coal be burned just to give you a made up answer to your query. This bubble is Pets.com only it is also murdering the rainforest while still be completely useless.
Idiots in this thread keep forgetting there’s a climate crisis and that we won’t be able to live the lives we live now forever 🤷♀️
Thank fucking god.
I got sick of the overhyped tech bros pumping AI into everything with no understanding of it…
But then I got way more sick of everyone else thinking they’re clowning on AI when in reality they’re just demonstrating an equal sized misunderstanding of the technology in a snarky pessimistic format.
I’m more annoyed that Nvidia is looked at like some sort of brilliant strategist. It’s a GPU company that was lucky enough to be around when two new massive industries found an alternative use for graphics hardware.
They happened to be making pick axes in California right before some prospectors found gold.
And they don’t even really make pick axes, TSMC does. They just design them.
They didn’t just “happen to be around”. They created the entire ecosystem around machine learning while AMD just twiddled their thumbs. There is a reason why no one is buying AMD cards to run AI workloads.
I feel like for a long time, CUDA was a laser looking for a problem.
It’s just that the current (AI) problem might solve expensive employment issues.
It’s just that C-Suite/managers are pointing that laser at the creatives instead of the jobs whose task it is to accumulate easily digestible facts and produce a set of instructions. You know, like C-Suites and middle/upper managers do.
And NVidia have pushed CUDA so hard.
AMD have ROCM, an open source cuda equivalent for amd.
But it’s kinda like Linux Vs windows. NVidia CUDA is just so damn prevalent.
I guess it was first. Cuda has wider compatibility with Nvidia cards than rocm with AMD cards.
The only way AMD can win is to show a performance boost for a power reduction and cheaper hardware. So many people are entrenched in NVidia, the cost to switching to rocm/amd is a huge gamble
Go ahead and design a better pickaxe than them, we’ll wait…
Same argument:
“He didn’t earn his wealth. He just won the lottery.”
“If it’s so easy, YOU go ahead and win the lottery then.”
They just design them.
It’s not trivial though. They also managed to lock dev with CUDA.
That being said I don’t think they were “just” lucky, I think they built their luck through practices the DoJ is currently investigating for potential abuse of monopoly.
The tech bros had to find an excuse to use all the GPUs they got for crypto after they bled that dry
The tech bros had to find an excuse to use all the GPUs they got for crypto after they
bled that dryupgraded to proof-of-stake.
I don’t see a similar upgrade for “AI”.
And I’m not a fan of BTC but $50,000+ doesn’t seem very dry to me.
As I job-hunt, every job listed over the past year has been “AI-drive [something]” and I’m really hoping that trend subsides.
“This is an mid level position requiring at least 7 years experience developing LLMs.” -Every software engineer job out there.
Yeah, I’m a data engineer and I get that there’s a lot of potential in analytics with AI, but you don’t need to hire a data engineer with LLM experience for aggregating payroll data.
I find it insane when “tech bros” and AI researchers at major tech companies try to justify the wasting of resources (like water and electricity) in order to achieve “AGI” or whatever the fuck that means in their wildest fantasies.
These companies have no accountability for the shit that they do and consistently ignore all the consequences their actions will cause for years down the road.
It’s research. Most of it never pans out, so a lot of it is “wasteful”. But if we didn’t experiment, we wouldn’t find the things that do work.
I agree, but these researchers/scientists should be more mindful about the resources they use up in order to generate the computational power necessary to carry out their experiments. AI is good when it gets utilized to achieve a specific task, but funneling a lot of money and research towards general purpose AI just seems wasteful.
Most of the entire AI economy isn’t even research. It’s just grift. Slapping a label on ChatGPT and saying you’re an AI company. It’s hustlers trying to make a quick buck from easy venture capital money.
You can probably say the same about all fields, even those that have formal protections and regulations. That doesn’t mean that there aren’t people that have PhD’s in the field and are trying to improve it for the better.
Is it really a grift when you are selling possible value to an investor who would make money from possible value?
As in, there is no lie, investors know it’s a gamble and are just looking for the gamble that everyone else bets on, not that it l would provide real value.
What’s funny is that we already have general intelligence in billions of brains. What tech bros want is a general intelligence slave.
