nVidia has some SERIOUS R&D in the use of AI for the past 10 years.
But using AI in the graphic space… upscaling, downscaling, faking lighting, faking physics…
This is all very useful in making videogames.
Then there was a leap in the way AI Image generation was done with the above hardware. And that opened up a whole new growing field.
It’s just some people took basic language models that have been around for 30 years and scaled them up with their hardware.
And it was neat, and surprising some of the stuff a LLM would output. But not reliable.
And then suddenly a lot of layman’s got their hand on the LLM’s and thought it was the 2nd coming of Jesus, and started throwing big money at it… it will be surprise to no one who knows how these AI’s work that that big money isn’t going anywhere.
But those first two, is no hype. It’s a real viable use case for the AI, and money will be made there.
Youre missing a lot of events in that timeline tbh :p
Nvidia forcing developers to use cuda enabled hardware, hard locking their tech to their hardware, the crypto boom of 2016 and 2020, …
Theyve done a lot of stuff to gamers and datacenters over the past years that made them as powerful as they were when gpt3 hit the public eye.
Me? Im stearing far far away from them. I dont support that business at all.
Im not saying you are defending them, youre just missing a lot of stuff that happened around ai and nvidia in your comment and whatever genai we have now isnt all because of nvidia. That its locked to nvidia is because of what they did before ai hit public eyes.
Current genAI also has not much to do with nvidia besides programs being based on cuda which uses nvidia’s tensor cores for neural processing. From a technical standpoint, nothing ai has to do with nvidia, they just played smart ( and unfair ).
Because of AI hype
It’s not all hype.
nVidia has some SERIOUS R&D in the use of AI for the past 10 years.
But using AI in the graphic space… upscaling, downscaling, faking lighting, faking physics… This is all very useful in making videogames.
Then there was a leap in the way AI Image generation was done with the above hardware. And that opened up a whole new growing field.
It’s just some people took basic language models that have been around for 30 years and scaled them up with their hardware. And it was neat, and surprising some of the stuff a LLM would output. But not reliable.
And then suddenly a lot of layman’s got their hand on the LLM’s and thought it was the 2nd coming of Jesus, and started throwing big money at it… it will be surprise to no one who knows how these AI’s work that that big money isn’t going anywhere.
But those first two, is no hype. It’s a real viable use case for the AI, and money will be made there.
Youre missing a lot of events in that timeline tbh :p
Nvidia forcing developers to use cuda enabled hardware, hard locking their tech to their hardware, the crypto boom of 2016 and 2020, …
Theyve done a lot of stuff to gamers and datacenters over the past years that made them as powerful as they were when gpt3 hit the public eye.
Me? Im stearing far far away from them. I dont support that business at all.
I’m not defending nVidia’s business practices at all.
My point is the ‘AI’ hype isn’t hype.
There’s real value added AI work being done outside of the ChatGPT LLM thing going on.
Im not saying you are defending them, youre just missing a lot of stuff that happened around ai and nvidia in your comment and whatever genai we have now isnt all because of nvidia. That its locked to nvidia is because of what they did before ai hit public eyes.
Current genAI also has not much to do with nvidia besides programs being based on cuda which uses nvidia’s tensor cores for neural processing. From a technical standpoint, nothing ai has to do with nvidia, they just played smart ( and unfair ).