No thanks.
Every corporation for some reason: Nah you gotta
"It's a revolution, it's the best thing ever, it's magically the best at AI, it's a super chip!"
It's a mobile GPU. We have a lot of those Jensen, keep it in your pants for fucks sake.
No, no, no. Its a cpu, not a gpu! Its a cpu with tensor cores! Not the same at all!
/slight sarcasm (because its not the same, but at the same time fuck jensen and his bullshit)
Hey man, it's not even for you it's for the agents that will embody your soul and live your life for you. Think of the agents bro, there's nothing they can't do. The can read your email and use that to train other agents. Think of that! Agents running all the time doing everything for you bro. Like reading email, and uh.......sending email......and like automatically deleting some emails. It's not just default email behavior bro it's AI agents man it's totally different. Check out this code they wrote by looking at email threads. Agents bro they need this chip without it the agents starve.
Isaac Asimov's future of angry men yelling at uncooperative robots is almost here.

imagine all the people screaming at their computers at the office:
ABORT ABORT CANCEL YOU STUPID FUCK
LMAO
ABORT ABORT CANCEL YOU STUPID FUCK
If only Huang's mom would've yelled that some 63 years ago.
A combination of a microprocessor and a graphics chip, developed with help from Taiwan’s MediaTek, it is designed to run AI agents locally rather than relying on cloud computing.
From a privacy perspective, at least, this has potential.
It will allow agents to navigate PCs autonomously, replacing humans’ traditional mouse and keyboard interactions.
Yeah, no. These things are still far too unreliable. Anyway, if you look at most sci-fi set in the future with voice control, keyboards (or at least their touchscreen counterparts) are still very much present.
The second part is wholly software dependent, so let's not conflate the two.
Having local hardware for local LLM (and other models too! there's plethora use cases for AI models, e.g. easily tagging people in your photo library, automatic subtitles for videos, even realtime stuff, we could even have models that automatically categorise photos and sort them into albums based on previous patterns, and so on) is awesome. Not having to trust some random third party with your data is awesome.
Blending that in with a specially written agent that can interact with stuff is not awesome. The two should be separate, but problem is, most users won't understand the benefit of this hardware without being given concrete examples of use cases like this.
I'm staunchly anti-genAI but consider other applications of traditional machine-learning less problematic. A purely local model for photo categorization seems, in theory, less objectionable to me. I'm sure models exist already but I'm purposefully out of the loop. Any suggestions for models I could look into? And just how much compute would something like that require?
Immich has a built in machine learning algorithms groups faces and runs on just about anything, including various raspberry pi
We have this already. They’re called APUs.
The return of the fat client in the age of AI mainframes? Nvidia is selling shovels in the AI gold rush, so they don't care either way.
“… for Windows”? No thanks.
Mainline linux drivers or gtfo
dave2d said it better. Having agents in your laptop doing your work for you is revolutionary, but trusting Microsoft with it is concerning.
It would be revolutionary if they had some shred of determinism. Having agents pencil whip my work with frequent logical errors is not revolutionary--it's mental quicksand.
I don't think the industry realize the majority of AI output is youtube slop videos
I don't think society realizes the majority of AI usefulness is not in generating slop pics and video...
I saw zero genuine hype for this. State of the industry, I guess.
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