It also says I’m using i915 but I bought this laptop a year ago… so I suspect many Intel GPUs use that driver?
Edit: According to https://www.kernel.org/doc/html/v6.14-rc3/gpu/i915.html
The drm/i915 driver supports all (with the exception of some very early models) integrated GFX chipsets with both Intel display and rendering blocks.
I still contend that this sort of task is uniquely positioned to show off LLMs. The idea that they’ll turn into agents that can do real-world tasks remains a fantasy. Despite how impressive this is, they’re losing money and have no real path to profitability.
I’m curious. What would it take to change your mind? I’d like to check in with you in two years to see what you think then.
I’m sure the community will find something to hate about this as well, since this isn’t an article about an LLM failing at something.
I know at Lemmy we usually don’t read the article title and sure as hell won’t read the actual article, so I’ll just post this here for everyone: nowhere in the article does it say they are laying people off because of AI. It merely states 9000 people will be laid off, and separately MSFT has invested a lot in AI.
A better reframe: huge tech company shifts focus.
Found the daily LLM denial thread.
I can see why Reddit needs to secure the user base. As not accounts proliferate they need to be able to demonstrate verified real users to their advertisers. Unfortunately for privacy, this will be widespread, in that case. I’m opting out.
You may need to work on your jokes :)
So I installed LineageOS recently. Now that I’ve transferred my passwords and account info I’m quite happy. What will happen from here? Will some apps stop working? If not, is there a problem with just continuing to use the phone as is until I need a new phone (security, eg)?
Students are now prompting the AI to make it sound like a student wrote it, or putting it through an AI detector and changing the parts that are detected as being written by AI (adding typos or weird grammar, say). Even kids who write their own papers have to do the latter sometimes.
Then the student could just ask the AI to simulate a thesis defense and learn answers to the most likely questions.
The funny thing is, they would actually learn the material this way, through a kind of osmosis. I remember writing cheat sheets in college and finding I didn’t need it by the end.
So there are potential use cases, but not if the university doesn’t acknowledge it and continues asking for work that can be simply automated.
Perhaps some people can’t afford it. I have the luxury of paying for weekly therapy but its probably one of my biggest line item expenses.
Yeah, it’s like me never having alcohol before and walking into a frat party as a freshman. Sometimes it’s better to come prepared.
People who track performance (like METR, a nonprofit) indicate that progress is, if anything, speeding up. Most people’s use case is so simple they can’t detect the difference. However for cases like complex problem solving, agentic tasks, etc you can in fact see significant progress happening. This should be concerning if you think the world isn’t ready for labor displaced by LLMs.
I think this may be a skill issue on your part.
I’m curious about the scientific consensus continually undershooting. At a certain point, if you’re always updating in one direction, shouldn’t you overcorrect a bit?
Better that they cover it than not. And the recent ramp up is worth reporting on, it’s a new level of weaponization compared to previous administrations.
It’s becoming clear people view reality as a “choose your own adventure” game.