377
Framework boosts its 13-inch laptop with new CPUs, lower prices, and better screens
(arstechnica.com)
this post was submitted on 30 May 2024
377 points (97.7% liked)
Technology
59589 readers
3077 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Meteor Lake was taped out in May 2021 and launched in December 2023. Still much slower than the pace of LLM development, to be fair. It seems more like an "if you build it, they will come" approach. But that's also how we got stuck with (for most consumer purposes) useless tensor cores on our GPUs. Does anyone even give a shit about raytracing/DLSS anymore?
It actually sounds like Microsoft is betraying Intel for Qualcomm, since their upcoming processor in the new Surface tablet is the only one that actually meets the requirements. So it looks like Microsoft doesn't give two shits about supporting existing hardware either way.
Tensor cores can be used to play chess, generate images, do realistic text to speech, do noise cancellation, content-aware fill, etc.
They are only useless to you and other people with no imagination
Chess engines have outplayed humans for thirty years, and they didn't need teraflops of computing power to do it.
Generative AI is actively harmful to the environment, slowing the phase-out of coal in the US and guzzling billions of gallons of water. It's likely going to kill jobs and it's already filling the internet and the academic world with garbage. It's also likely a bubble that will burst before long, potentially bringing the economy down with it.
I'll give you noise cancellation and text-to-speech, that's pretty cool.
But personally, I'd rather have more CUDA cores.
That middle paragraph is very misleading. It's Generative AI as a service that is actively harmful to the environment. Having a 15 W chip to do tasks like erasing objects from a photo is not any more harmful to the environment than a GPU that uses 15W. In fact, NPUs can be more efficient at some tasks than GPUs.
The problem is opening your phone/browser, and being able to call on demand GPT-4 to wake up a cluster of 128 Nvidia A100s operating at around 300-400W each. That's 51.2 kW.
Now you can draw some positives and negatives from that figure, such as