Want to read Slashdot from your mobile device? Point it at m.slashdot.org and keep reading!

 



Forgot your password?
typodupeerror

Comment Incomprehensible PR rah-rah (Score 1) 14

[...] 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.

Comment Re: Back in the early 2000s (Score 1) 26

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...

Comment Were they that good or trained on similar problems (Score 1) 70

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).

Comment Re:AI is great for project localization (Score 1) 247

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 ;) But.. never trust Claude to translate a spreadsheet without skipping rows. I made a pretty tool with it but only after realizing how cavalier it could be, saying it had checked things it didn't, etc.

Comment I see more and more products marketed as AI-free (Score 4, Interesting) 49

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.

Slashdot Top Deals

If you didn't have to work so hard, you'd have more time to be depressed.

Working...