That's the second "AI" company that turned out to be just Pajeets now, isn't it?
Not too long ago there was another company that used "AI" to create a unified shopping cart/checkout app that worked on all stores without having to create accounts. Except instead of the advertised AI they were outsourcing the process to Indian Phillipino call centers.
Wasn't there a physical store that was supposed to use Ai image scan check out as things are put into the basket without the kiosks, but turned out just pajeets looking at the the monitors and entering the sales
There always was. "Ai" as a buzzword is worthless. It's all machine learning, which has been going on for decades. They're just pretending like it's something new and exciting to rip off retard execs
"AI" has been a thing forever, every video game ever had "enemy AI". Oh no, AI!
Large Language Models are neat, and Large Image Model inserts to them are fun toys, but those are much more exact terms. And they can be run offline, notably, and are fairly restricted in their scope.
Heh, wait until they figure out what's behind Quantum Computing.
AI, cloud, "serverless", virtual assistants, blockchain. All kind of interesting in their own right, sure, but they get pumped up into these viral ideas where the legend and promise quickly overshadow their actual usefulness. Two decades of technological fraud driven by some fantasy that the real Silicon Valley is the same as this idealized fictional Silicon Valley.
Nah. If you can have the "quality" of mass importing pajeets without the zmell then damn is that a ringing endorsement of AI considering modern hiring practices.
Look, this is just wrong. Generative AI is fairly new, but classification AI, that goes the other way, for example Optical Character Recognition, has been around for decades and is a cornerstone of modern automation.
OCR is a very simple use of a more primitive version of the same technology. You create a training set, a set of expected results, then use a training algorithm on the layers of linear algebra and matrixes to adjust them until you have a program that can accurately classify input data and produce the expected output, even with examples it has never seen before, generalizing it's functionality beyond just it's training set.
Of course it's a hell of a lot easier to match small greyscale images to a set of less than 200 glyphs than it is to match it to as vague a concept as coherent English text, and of course there are a lot of tasks with intermediary complexity like subject identification and catching and classifying defects in parts without exact measurements.
The big thing that kicked off this latest boom was production of general outputs.
Now we're able to go from general to general (a description of a picture to a picture that fits the description) instead of general to specific (picture of animal to Is Cat?Y/N with confidence interval X.)
These are the people who come to the states and claim to be engineers. These are the people getting H1-B visas and running the tech companies on the backs of the two white guys that HR wants replaced. There's a reason why "tech" companies look like the banks of the Ganges while engineering departments at companies who produce actual products do not (for now).
$9,000 per card was what I heard quoted in the office several months back and we had less than a dozen for a really small scale in-house operation. I can only imagine how much hardware something at scale requires.
Depends on how tolerant of half assing things you are. I grabbed a P40 which is enough for a hobbyist for 300$. It does a passible job if slightly slow. But it's plenty capable for a single user. Of course if you want to do anything cutting edge, you'll be spending tens of thousands. However a significant part of that is Nvidia being stingy with VRAM. It wouldn't be particularly difficult to make high VRAM cards that would be far more cost effective for AI, but it's more profitable for Nvidia to do it this way.
AI—Actually Indian.
That's the second "AI" company that turned out to be just Pajeets now, isn't it?
Not too long ago there was another company that used "AI" to create a unified shopping cart/checkout app that worked on all stores without having to create accounts. Except instead of the advertised AI they were outsourcing the process to
IndianPhillipino call centers.Edit: Turns out that one used Philipinos instead of Indians: https://archive.is/ajUZW
Wasn't there a physical store that was supposed to use Ai image scan check out as things are put into the basket without the kiosks, but turned out just pajeets looking at the the monitors and entering the sales
Yeah--AMAZON!
Was in the thread for that just now getting an old post I made at the time so may as well link the whole thing here.
https://kotakuinaction2.win/p/17siSljUFE/x/c/
Ah, so that’s why AI code sucks!
In all seriousness, I’m surprised this wasn’t found out earlier, you’d think AI would generate code faster than even 700 people.
(clicks Generate Code button)
Builder.AI: "Generating..."
(after waiting 30 seconds) (click)
Builder.AI: "Thinking..."
(click click click)
Builder.AI: "please saar! kindly wait for the ai to do the needful, do not click the botton saar"
Void main() {cout <<< “shitting in street”; }
Why do you keep telling me to shit in the street BuilderAI? And I already told you I don't have any bobs or vagene to show you.
This is the second time this is happened.
The fact that people can't tell the difference, tells me that, yes, there is an AI bubble.
There always was. "Ai" as a buzzword is worthless. It's all machine learning, which has been going on for decades. They're just pretending like it's something new and exciting to rip off retard execs
Basically like when they started to call file hosting servers "The Cloud"
We don't always agree, but your dead right on this one.
"AI" has been a thing forever, every video game ever had "enemy AI". Oh no, AI!
Large Language Models are neat, and Large Image Model inserts to them are fun toys, but those are much more exact terms. And they can be run offline, notably, and are fairly restricted in their scope.
Heh, wait until they figure out what's behind Quantum Computing.
AI, cloud, "serverless", virtual assistants, blockchain. All kind of interesting in their own right, sure, but they get pumped up into these viral ideas where the legend and promise quickly overshadow their actual usefulness. Two decades of technological fraud driven by some fantasy that the real Silicon Valley is the same as this idealized fictional Silicon Valley.
Also there's no real way to monetize it. I can't "buy" an AI for my local PC which is what I really want.
Nah. If you can have the "quality" of mass importing pajeets without the zmell then damn is that a ringing endorsement of AI considering modern hiring practices.
AI hasnt done shit to help society or humanity. All its done is to show off pretty pics/videos and generate shitty porn.
Atm its just being used to control and aggregate all the data they collect from us. And to replace some people in the workforce.
Look, this is just wrong. Generative AI is fairly new, but classification AI, that goes the other way, for example Optical Character Recognition, has been around for decades and is a cornerstone of modern automation.
How is OCR similar to LLMs?
OCR is a very simple use of a more primitive version of the same technology. You create a training set, a set of expected results, then use a training algorithm on the layers of linear algebra and matrixes to adjust them until you have a program that can accurately classify input data and produce the expected output, even with examples it has never seen before, generalizing it's functionality beyond just it's training set.
Of course it's a hell of a lot easier to match small greyscale images to a set of less than 200 glyphs than it is to match it to as vague a concept as coherent English text, and of course there are a lot of tasks with intermediary complexity like subject identification and catching and classifying defects in parts without exact measurements.
The big thing that kicked off this latest boom was production of general outputs.
Now we're able to go from general to general (a description of a picture to a picture that fits the description) instead of general to specific (picture of animal to Is Cat?Y/N with confidence interval X.)
These are the people who come to the states and claim to be engineers. These are the people getting H1-B visas and running the tech companies on the backs of the two white guys that HR wants replaced. There's a reason why "tech" companies look like the banks of the Ganges while engineering departments at companies who produce actual products do not (for now).
> AI
> Looks inside
> Outsourcing
No SAAR, do NOT REDEEM!
Bringing this one back,
https://kotakuinaction2.win/p/17siSljUFE/x/c/4ZA1y3PzQvw
Something, something, 1000 monkeys on typewriters can produce the works of Shakespeare.
Eh, close enough.
$9,000 per card was what I heard quoted in the office several months back and we had less than a dozen for a really small scale in-house operation. I can only imagine how much hardware something at scale requires.
Depends on how tolerant of half assing things you are. I grabbed a P40 which is enough for a hobbyist for 300$. It does a passible job if slightly slow. But it's plenty capable for a single user. Of course if you want to do anything cutting edge, you'll be spending tens of thousands. However a significant part of that is Nvidia being stingy with VRAM. It wouldn't be particularly difficult to make high VRAM cards that would be far more cost effective for AI, but it's more profitable for Nvidia to do it this way.