How did this thread blow up so much?
Year of Linux
Fuck the ai os wave. Do not force that shit into my life. I’m fine with using ai, but ai is not gonna stare over my shoulder. I decide when I use it. Never going back from Linux. Still stuck with a samsung phone but we’ll see
I switched to GrapheneOS with zero regrets. Mainly because Google is deeply embeded in the Android ecosystem. There was no way i was going to add Samdung AI on top of that mess.
Nice. Mine is a work phone so I can’t switch sadly
Question, do your banking apps etc run ok in the sandbox?
I wanted grapheneOS but it is not compatible with my current cell phone.
Same
Even if Microsoft, Apple, et al, drop the ‘inescapable integrated AI assistant’ bullshit in their OS’ it’s almost a guarantee that they will forever reside in some hidden background service quietly sending off reports. The temptation for them is too great, and the legal consequences are nil.
you are right… Linux for the win!
I have a Samsung and it doesnt have ai features (except for google but i can opt out of it)
It’s not care. Its want. We don’t want AI.
FR I think more people actively dislike it, which is a form of care.
Depends on the implementation.
Just about everyone I know loves how iPhones can take a picture and readily identify a plant or animal. That’s actually delightful. Some AI tech is great.
Now put an LLM chatbox where people expect a search box, and see what happens… yeah that shit sucks.
loves how iPhones can take a picture and readily identify a plant or animal.
As I biologist I’d like to correct your sentence: “iPhones can take a picture and pretend to sometimes manage to get close to identifying a plant”
It sucks at identification too
Hotdog or not hotdog
Whenever I ask random people who are not on IT, they either don’t know about it or they love it.
That’s a boring perspective fuck you for sharing.
I work in IT and have recently been having a lot of fun leveraging AI in my home lab to program things as well as doing audio\video generation (which is a blast honestly.) So… I mean, I think it really depends on how it’s integrated and used.
“I work in IT” says the rando, rapaciously switching between support tickets in their web browser and their shadow-IT personal browser
“I’ve been having a lot of fun” continues the rando, in a picture-perfect replica of every other fucking promptfan posting the same selfish egoist bullshit
“So… I mean, I think it really depends on how it’s integrated and used” says thee fuckwit, who can’t think two words beyond their own fucking nose
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mmmm, yes, being told what I don’t know… oh yes, that’s the stuff. best kind of thing to read after the kind of week I’ve had!
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look, I’ll do you the disfavour of giving you an actually detailed reply
you know exactly fucking nothing about me, about what I do, and about my competencies. if you did just a liiiiiiittle bit of work you might get an inkling, but: I know you didn’t, and I know you don’t.
that’s not a judgement, that’s just fact.
trying to flippantly rage at my derision of your shitty post… I mean, points for effort? but… be more interesting…? you’re factory-line-identical outrage, and it’s boring
para (2): sure, I made some inferred guesses. still don’t think I’m wrong (and your little tagline ragefest there isn’t helping, either)
paras (1) and (3): I lul. once again, if you knew anything about me…
but sure, go off queen. I’m sure your emanated bilge will be received with vim and verve.
Thats an interesting perspective thanks for sharing.
Speak for yourself.
These “AI Computers” are a solution looking for a problem. The marketing people naming these “AI” computers think that AI is just some magic fairy dust term you can add to a product and it will increase demand.
What’s the “killer features” of these new laptops, and what % price increase is it worth?
What is even the point of an AI coprocessor for an end user (excluding ML devs)? Most of the AI features run in the cloud and even if they could run locally, companies are very happy to ask you rent for services and keep you vendor locked in.
Please stop shoving ai into everything,please give us opt out from AI icons and stuff /srs
What the hell is an AI computer? Like one with a beefy GPU?
I think people care.
They care so much they actively avoid them.
No thanks. I’m perfectly capable of coming up with incorrect answers on my own.
you’re right tho
Imagine that, a new fledgingly technology hamfistedly inserted into every part of the user experience, while offering meager functionality in exchange for the most aggressive data privacy invasion ever attempted on this scale, and no one likes it.
Do they care? No! Will they push more AI? Yes! Will they listen to the consumers? I don’t think so.
Same thing happens with lot of products over the years. Companies push new stuff that we don’t want, and a year later becomes a regular thing! They push AI day by day, from websites AI chat help to in app AI assistant. Do consumers like it? No, but still you gonna find it everywhere! and now they push it in computers and looks what it happens! No sales!Call me crazy, but at some point, they need to look at their data or their consumers and do the right thing.
It’s maddening that they did actually take away the headphone jack from all modern phones and there’s nothing we can do about it even though it objectively sucks
But there’s no space on the new thin phones.
STFU yes there is. Gimme my 3.5mm.
“The perfect size of the screen is ((3.5 + (year - 2010) * 0.5)) inches.”
STFU. Make phones small like iPhone 4 again.
most, Sony still has them
Does anyone sell a case with a built-in USB DAC and 3.5mm jack?
there’s nothing we can do about it
Outright rejection of their shit, I won’t buy new smartphones from them. Currently using a dumbphone although the case is breaking and they don’t make this one any more. Nokia could work but costs quite a bit tbh. Getting rid of the phone entirely is tempting.
If I ever buy a smartphone again it will be the cheapest second hand thing I can find. Maybe don’t even take it out the house, it can stay at home like a landline and will be restricted to at most LAN connections only.
You can still buy phones with a headphone jack. It’s just that most people buy the one without because most people have a wireless headset they use with the phone.
It’s SUPER simple: if something new comes along and sells, it will become the standard. If it doesn’t sell, it won’t.
Removing the headphone jack allowed manufacturers to make phones thinner/lighter/cheaper/whatever and people didn’t vote against it, therefore it stays.
Microsoft pushing a feature that most users will never use or care about? Never!
Laughs in Window 8 optimized for touchscreens
It’s because they’re looking at data and a lot of you forget that. They don’t care if realistically everyone hates it if the data says everyone would use and benefit from it. Why is this so much more important? If you looked at the marketing behind AI they faked this entire industry by showing companies the “right” data to have them back them up but it’s just manipulation from the industry to make something profitable like NFTs.
Reducing computer performance:
Turbo button 🤝 AI button
now that you mention it, kinda surprised I haven’t ever seen a spate of custom 3D-printed turbo buttons from overclocker circles
it could turn on the RGB! though that would imply that the RGB could be turned off in the first place, which is optimistic on my part
it’s the button for more RGB
saw a microphone with RGB and i’m like wtf is this thing supposed to do, flash disco lights when you’re on stream shouting slurs at your esteemed fellow gamers
shouting slurs at your esteemed fellow gamers
They’re called “heated gaming moments” /j
reheated gaming moments
Fresh(?) off the PUBG Bridge
nah, just call a fuckwit a fuckwit. even jokingly giving them breathing room is something they know how to abuse.
Same issue from when we had turbo buttons: why have a button for something you don’t turn off?
your comment demonstrates a remarkable lack of imagination
Better option: An array of flip switches for throttling to different speeds.
Best option: Mount these flip switches above you on an overhead control panel.
And a clear lack of understanding of what the turbo button actually did
I thought it makes the game tick faster or slower, such that you have to have it set correctly or it’s unplayable.
Some early PC software, mostly games, were written expecting the computer ran at a fixed speed which was the speed of the original IBM PC which used an Intel 8088 that ran at 4.77 MHz. If the IBM PC was more like computers such as the Commodore 64 which changed little during its production run, that would have been fine. But eventually faster PC’s were released that ran on 286, 386, 486, etc. CPUs that were considerably faster and hence software that expected the original IBM PC hardware ran way too fast.
The turbo button was a bit of a misnomer since you would normally have it on and leave it on, only turning it off as sort of a compatibility mode to run older software. How effective it was varied quite a bit - some computers turning it off would get you pretty close to the original IBM PC in terms of speed, but others would just slow the computer down, but not nearly enough, making it mostly useless for what it was intended for.
Kind of, though it’s about the CPU’s clock speed rather than the details of the game.
So, pedantically? no.
Experientially? yes.
I had one on my PC in the late 90s, early 2000s.
Maybe I’m just getting old, but I honestly can’t think of any practical use case for AI in my day-to-day routine.
ML algorithms are just fancy statistics machines, and to that end, I can see plenty of research and industry applications where large datasets need to be assessed (weather, medicine, …) with human oversight.
But for me in my day to day?
I don’t need a statistics bot making decisions for me at work, because if it was that easy I wouldn’t be getting paid to do it.
I don’t need a giant calculator telling me when to eat or sleep or what game to play.
I don’t need a Roomba with a graphics card automatically replying to my text messages.
Handing over my entire life’s data just so a ML algorithm might be able to tell me what that one website I visited 3 years ago that sold kangaroo testicles was isn’t a filing system. There’s nothing I care about losing enough to go the effort of setting up copilot, but not enough to just, you know, bookmark it, or save it with a clear enough file name.
Long rant, but really, what does copilot actually do for me?
Before ChatGPT was invented, everyone kind of liked how you could type in “bird” into Google Photos, and it would show you some of your photos that had birds.
Our boss all but ordered us to have IT set this shit up on our PCs. So far I’ve been stalling, but I don’t know how long I can keep doing it.
Tell your boss you talked to legal and they caution that all copilot data is potentially discoverable.
Set it up. People have to find out by themselves.
same here, i mostly dont even use it on the phone. my bro is into it thought, thinking ai generate dpicture is good.
It’s a fun party trick for like a second, but at no point today did I need a picture of a goat in a sweater smoking three cigarettes while playing tic-tac-toe with a llama dressed as the Dalai Lama.
It’s great if you want to do a kids party invitation or something like that
That wasn’t that hard to do in the first place, and certainly isn’t worth the drinking water to cool whatever computer made that calculation for you.
The only feature that actually seems useful for on-device AI is voice to text that doesn’t need an Internet connection.
As someone who hates orally dictating my thoughts, that’s a no from me dawg, but I can kinda understand the appeal (though I’ll note offline TTS has been around for like a decade pre-AI)
longer: dragon dictate and similar go back to the mid 90s (and I bet the research goes back slightly earlier, not gonna check now)
similar for TTS
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I use it to speed up my work.
For example, I can give it a database schema and ask it for what I need to achieve and most of the time it will throw out a pretty good approximation or even get it right on the first go, depending on complexity and how well I phrase the request. I could write these myself, of course, but not in 2 seconds.
Same with text formatting, for example. I regularly need to format long strings in specific ways, adding brackets and changing upper/lower capitalization. It does it in a second, and really well.
Then there’s just convenience things. At what date and time will something end if it starts in two weeks and takes 400h to do? There’s tools for that, or I could figure it out myself, but I mean the AI is just there and does it in a sec…
it’s really embarrassing when the promptfans come here to brag about how they’re using the technology that’s burning the earth and it’s just basic editor shit they never learned. and then you watch these fuckers “work” and it’s miserably slow cause they’re prompting the piece of shit model in English, waiting for the cloud service to burn enough methane to generate a response, correcting the output and re-prompting, all to do the same task that’s just a fucking key combo.
Same with text formatting, for example. I regularly need to format long strings in specific ways, adding brackets and changing upper/lower capitalization. It does it in a second, and really well.
how in fuck do you work with strings and have this shit not be muscle memory or an editor macro? oh yeah, by giving the fuck up.
(100% natural rant)
I can change a whole fucking sentence to FUCKING UPPERCASE by just pressing
vf.gUin fucking vim with a fraction of the amount of the energy that’s enough to run a fucking marathon, which in turn, only need to consume a fraction of the energy the fucking AI cloud cluster uses to spit out the same shit. The comparison is like a ping pong ball to the Earth, then to the fucking sun!Alright, bros, listen up. All these great tasks you claim AI does it faster and better, I can write up a script or something to do it even faster and better. Fucking A! This surge of high when you use AI comes from you not knowing how to do it or if even it’s possible. You!
You prompt bros are blasting shit tons of energy just to achieve the same quality of work, if not worse, in a much fucking longer time.
And somehow these executives claim AI improves fucking productivity‽
exactly. in Doom Emacs (and an appropriately configured vim), you can surround the word under the cursor with brackets with
ysiw]where the last character is the bracket you want. it’s incredibly fast (especially combined with motion commands, you can do these faster than you can think) and very easy to learn, if you know vim.and I think that last bit is where the educational branch of our industry massively fucked up. a good editor that works exactly how you like (and I like the vim command language for realtime control and lisp for configuration) is like an electrician’s screwdriver or another semi-specialized tool. there’s a million things you can do with it, but we don’t teach any of them to programmers. there’s no vim or emacs class, and I’ve seen the quality of your average bootcamp’s vscode material. your average programmer bounces between fad editors depending on what’s being marketed at the time, and right now LLMs are it. learning to use your tools is considered a snobby elitist thing, but it really shouldn’t be — I’d gladly trade all of my freshman CS classes for a couple semesters learning how to make vim and emacs sing and dance.
and now we’re trapped in this industry where our professionals never learned to use a screwdriver properly, so instead they bring their nephew to test for live voltage by licking the wires. and when you tell them to stop electrocuting their nephew and get the fuck out of your house, they get this faraway look in their eyes and start mumbling about how you’re just jealous that their nephew is going to become god first, because of course it’s also a weirdo cult underneath it all, that’s what happens when you vilify the concept of knowing fuck all about anything.
The only things I’ve seen it do better than I could manage with a script or in Vim are things that require natural language comprehension. Like, “here’s an email forwarded to an app, find anything that sounds like a deadline” or “given this job description, come up with a reasonable title summary for the page it shows up on”… But even then those are small things that could be entirely omitted from the functionality of an app without any trouble on the user. And there’s also the hallucinations and being super wrong sometimes.
The whole thing is a mess
changing upper/lower capitalization
That’s literally a built-in VSCode command my dude, it does it in milliseconds and doesn’t require switching a window or even a conscious thought from you
adding brackets and changing upper/lower capitalization
I have used a system wide service in macOS for that for decades by now.
presumably everyone who has to work with you spits in your coffee/tea, too?
Gotta be real, LLMs for queries makes me uneasy. We’re already in a place where data modeling isn’t as common and people don’t put indexes or relationships between tables (and some tools didn’t really support those either), they might be alright at describing tables (Databricks has it baked in for better or worse for example, it’s usually pretty good at a quick summary of what a table is for), throwing an LLM on that doesn’t really inspire confidence.
If your data model is highly normalised, with fks everywhere, good naming and well documented, yeah totally I could see that helping, but if that’s the case you already have good governance practices (which all ML tools benefit from AFAIK). Without that, I’m totally dreading the queries, people already are totally capable of generating stuff that gives DBAs a headache, simple cases yeah maybe, but complex queries idk I’m not sold.
Data understanding is part of the job anyhow, that’s largely conceptual which maybe LLMs could work as an extension for, but I really wouldn’t trust it to generate full on queries in most of the environments I’ve seen, data is overwhelmingly super messy and orgs don’t love putting effort towards governance.
I’ve done some work on natural language to SQL, both with older (like Bert) and current LLMs. It can do alright if there is a good schema and reasonable column names, but otherwise it can break down pretty quickly.
Thats before you get into the fact that SQL dialects are a really big issue for LLMs to begin with. They all looks so similar I’ve found it common for them to switch between them without warning.
Yeah I can totally understand that, Genie is databricks’ one and apparently it’s surprisingly decent at that, but it has access to a governance platform that traces column lineage on top of whatever descriptions and other metadata you give it, was pretty surprised with the accuracy in some of its auto generated descriptions though.
Yeah, the more data you have around the database the better, but that’s always been the issue with data governance - you need to stay on top of that or things start to degrade quickly.
When the governance is good, the LLM may be able to keep up, but will you know when things start to slip?
what in the utter fuck is this post
The first two examples I really like since you’re able to verify them easily before using them, but for the math one, how to you know it gave you the right answer?
they don’t verify any of it
I use it to parse log files, compare logs from successful and failed requests and that sort of stuff.
and now we’re up to inaccurate, stochastic
diff. fucking marvelous.Stay tuned for inaccurate, stochastic
ls.
They’re great for document management. You can let it build indices, locally on your machine with no internet connection. Then when you want to find things you can ask it in human terms. I’ve got a few gb of documents and finding things is a bitch - I’m actually waiting on the miniforums a1 pro whatever the fuck to be released with an option to buy it without windows (because fuck m$) to do exactly this for our home documents.
Offline indexing has been working just fine for me for years. I don’t think I’ve ever needed to search for something esoteric like “the report with the blue header and the photo of 3 goats having an orgy”, if I really can’t remember the file name, or what it’s associated with in my filing system, I can still remember some key words from the text.
Better indexing / automatic tagging of my photos could be nice, but that’s a rare occurrence, not a “I NEED a button for this POS on my keyboard and also want it always listening to everything I do” kind of situation
I wish that offline indexing and archiving were normalized and more accessible, because it’s a fucking amazing thing to have
a local search engine but shitty, stochastic, and needs way too much compute for “a few gb of documents”, got it, thanks for chiming in
How about real-time subtitles on movies in any language you want that are always synced?
VLC is working on that with the use of LLMs
I tried feeding Japanese audio to an LLM to generate English subs and it started translating silence and music as requests to donate to anime fansubbers.
No, really. Fansubbed anime would put their donation message over the intro music or when there wasn’t any speech to sub and the LLM learned that.
All according to k-AI-kaku!
We’ve had speech to text since the 90s. Current iterations have improved, like most technology has improved since the 90s. But, no, I wouldn’t buy a new computer with glaring privacy concerns for real time subtitles in movies.
You’re thinking too small. AI could automatically dub the entire movie while mimicking the actors voice while simultaneously moving their lips and mouth to form the words correctly.
It would just take your daily home power usage to do a single 2hr movie.
Apparently it’s useful for extraction of information out of a text to a format you specify. A Friend is using it to extract transactions out of 500 year old texts. However to get rid of hallucinations the temperature reds to be 0. So the only way is to self host.
Setting the temperature to 0 doesn’t get rid of hallucinations.
It might slightly increase accuracy, but it’s still going to go wrong.
Well, LLMs are capable (but hallucinant) and cost an absolute fuckton of energy. There have been purpose trained efficient ML models that we’ve used for years. Document Understanding and Computer Vision are great, just don’t use a LLM for them.
Even non tech people I talk to know AI is bad because the companies are pushing it so hard. They intuit that if the product was good, they wouldn’t be giving it away, much less begging you to use it.
It’s partly that and partly a mad dash for market share in case the get it to work usefully. Although this is kind of pointless because AI isn’t very sticky. There’s not much to keep you from using another company’s AI service. And only the early adopter nerds are figuring out how to run it on their own hardware.
You’re right - and even if the user is not conscious of this observation, many are subconsciously behaving in accordance with it. Having AI shoved into everything is offputting.
Speaking of off-putting, that friggin copilot logo floating around on my Word document is so annoying. And the menu that pops up when I paste text — wtf does “paste with Copilot” even mean?
They are trying to saturate the user base with the word copilot. At least microsoft isnt very sneaky about anything.
customers dont want AI, but only thhe corporation heads seem obssed with it.
