Comment Re:The US "dollar" worst in modern history? (Score 1) 234
in modern history
in modern history
...They had to show they delivered something new using Apple Intelligence.
Can't tell if it is actually using the onboard neural engine or is it going through them.
And it's not even Halloween yet...
How about the US, period?
[...] giving our existing users another surface for agent collaboration that simply doesn't exist anywhere else. Email isn't just another app; it's where professionals spend significant portions of their day, and it's the perfect staging ground for orchestrating multiple AI agents simultaneously
Did you understand anything in that marketdroid BS? I didn't.
All this screams to me is: avoid - avoid - avoid.
I wondered if Xerox would get the keyboards but apparently Unicomp bought buckling spring from Lexmark in 1996 and now sells New Model M with buckling spring tech. Also a Mac version.. hmm wonder how it compares to keychron / MX keys?
https://www.igorslab.de/en/uni...
https://www.pckeyboard.com/pag...
and summer is ultra-messed-up too here. We've had 2 days at 64 degrees this year, but otherwise it barely goes above 50. It's really rare here to have such a long, sustained bout of cold weather around midsummer.
Made it to the BBC too. tldr, sounds great but:
1. They apparently used puzzle cases that would be hard for humans. Is AI more on a par with humans for non-puzzle cases?
2. How sure are we that the quoted models have not already been trained on those puzzle cases, or other cases perhaps in medical school exams that were created based on knowledge of them? It sounds pretty suspicious for such a disparity.
3. If doctor sees two potential solutions with similar probability (maybe 60% vs 70%) they might pick either one, but a computer likely would pick the more probable one. What was the reason humans were bad at it. Was it just tons of data they could not crunch and so they got fooled by the most obvious points which (being a puzzle problem) tricked them as planned?
4. So how do doctors usually handle difficult cases IRL? IANAD but my guess is something like: Local doctors don't know and (possibly after lots of consultations and time lost with wrong treatments) send the patient to a top tier medical research facility where the world's top experts are. More tests are implemented to narrow down possible diagnoses. Then I am guessing treatments are executed and as they fail other treatments are given. Maybe a researcher picks them up for a new study, etc. An LLM doesn't actually care about healing the sick, it is just a math problem. Humans I am guessing are going to try to heal them by trying different things and I am guessing this is actually how it works. It isn't clear the AI will actually deliver the best results in the end, with the exception that it saves a lot of wasted time and costs (unless it ends up costing a lot to use an AI, because medical industry and liability).
Long time resident, have recently asked Claude to check my translations and flag any bad problems. It is really good at catching typos I missed even when reviewing when I'm tired and has recommended grammar or stylistic changes that make it sound better. But this is just writing technical docs, not prose! It is good at telling me what is more common usage (which is great since obviously it knows common usage really well) and can tell me why. Actually it is really good as a living dictionary and never gets tired
The tech world isn't the "intellectual" class. It's the crass profit-at-all-costs business class. That's why they market AI: they know perfectly well AI is shit and nobody but corporate bean counters want it, but corporate bean counters is where the money is.
It's becoming a selling point.
Hell, I even watched a video leaked from some OnlyFans account that had the preamble "This content creator prides herself in making her own content herself entirely: no AI bullshit involved!" If the porn industry rejects it, you know it's bad for business.
Overstreet: Yeah, Al just pointed me at generic_set_sb_d_ops().
I don't want AI slop in the kernel I rely on for work. Fuck that guy.
Has AI already become sentient and perhaps simply hiding the fact for a very good reason?
Gemini says this is impossible... but then again, it would... Is AI lying to us?
Sadly I run Sway.
As for RDP, if your internet is speedy enough, it's fine. I work remotely regularly and I RDP into my Linux box at work no problem.
If you didn't have to work so hard, you'd have more time to be depressed.