Yes and no, I have self-hosted models on one of my Linux boxes, but even with a relatively modern 70 series Nvidia GPU, it’s still faster to use free non-local services like ChatGPT or DDG.
My rule of thumb for SaaS LLMs is to never enter in any data that I wouldn’t also be willing to upload cleartext to Google Drive or OneDrive.
Sometimes that means modifying text before submitting it, and other times having to rely entirely on self-hosted tools.
Llama is the model I use most often, followed by ChatGPT and Claude.
Others as well, but yes, it is incredible helpful for the tasks I use it for.
Weasel phrase? You mean the fact that I don’t treat them like their actual Ai, but just a tool that needs to be used properly, monitored, and verified?
There’s a reason why I never call them AI, because they’re not. They’re just advanced machine learning tools, and just like I keep a steady hand when using a table saw, I only use LLMs for tasks that they can help me do something faster, but are easy to verify they did it right.
And as someone who has been using them very regularly, I feel confident in saying that. It’s not a weasel phrase, I’m not trying to sell anyone snake oil about what they can actually do, and I acknowledge that they’re an oversold and overhyped means of cooking the planet faster, so it’s not like I would be mad if they were banned tomorrow, but until then, I will keep using them in ways that are actually fruitful.
But sure, if all you need to do is find one word in a single body of text, that’s not really a good use of an LLM, but that wasn’t what I was talking about.
If I need examples of various legal or ethical concerns documented in one, or multiple, pieces of writing, or other conceptual topics, I can give it a list, and then ask it to highlight all examples of those issues, and include the verbatim text where their present. I can then give that same task to a multiple different LLMs, with the same prompts, and a task that would have taken me hours to complete, takes me 30 to 45 minutes, including the time it takes me to give it quick read through see if anything was missed. But yeah, that requires a well crafted prompt, and it’s not infallible.
Replace belt sander with CBD. A compound with very real and tangible benefits for specific use cases, but is marketed as a modern day snake oil cure all.
Imagine seeing people regularly complaining on bluelight, erowid, or whatever forums educated drug users frequent these days, bitching that CBD didn’t cure their asthma, or STDs, so therefore it has no medical value.
They know it’s a tool, yet they keep complaining about how the gas station CBD isn’t magic and failed to cure their gonorrhea, even though they already knew it was never going to be able to, no matter what the packaging said.
But my analogy wasn’t meant to be critically analyzed and dissected, it was a throwaway example to highlight the problem of people on Lemmy, who actually know better, but keep whinging about LLM’s providing bogus URLs for citations, etc.
I’m not advocating for openai, their business model, or the environmental and financial cost benefit of current LLM technology.
They suck, it’s dogshit, and it’s not worth cooking the planet for.
I also don’t disagree about the very real possibility that the average user may actually get dumber and more misinformed by relying on LLMs.
But we’re on Lemmy, and I’m just tired of all these comments incessantly complaining about about how LLM’s can’t do x,y, or z.
Imagine being on a carpentry forum, and every day people complained about how their new belt sander was dogshit at cutting 2x4’s or screwing in fasteners, so clearly the problem was with the concept of belt sander technology.
It’s not a peer-reviewed journal or academic level source, and shouldn’t be used as that.
But if I need to find some technical or scientific writings on a subject, but I don’t know the correct nomenclature or need a more narrow set of keywords, that is something I can describe to the LLM and get back.
The keywords in their response can help me then hunt down the journal article or papers that I need using traditional search engines. I’m not just brainstorming here, this is something I do often enough to find real utility in it.
Again, these are problems that can be solved with traditional search engines, but at the cost of time and frustration sifting though every potential result.
You can spit out a hundred more examples of what an LLM can’t do, but as I already said, they’re not magic, just tools.
Your experience highlights what current iterations of LLMs are not well suited for, so I understand if that’s what you were hoping to achieve, why you were left wanting, or disillusioned.
There’s a lot of things that LLMs are really good at, or incredibly useful for, such as ingesting large bodies of text, and then analyzing them based on your ability to create well thought out prompts.
This can save you hours and hours, of reading time, and it’s something that you can verify the answer on relatively quickly, to double check the LLMs response accuracy.
They’re also good at doing something Google used to be good at, but sucks at now. Which enabling you to describe process, simple or complicated, short or long, that you either can’t recall the name of, or aren’t even sure where it’s called, and letting you know exactly what it is. Also, easily verifiable.
There’s plenty of other things too, but just remember that they are tools, not magic, or sentient intelligence.
The models are not real time, but there are tricks to figure out it’s most recent dates of ingestion, such as asking topical entertainment or news questions, but don’t go looking for a real-time information.
Also, I have yet to find a model that can provide an actual URL and specific source for anything it generates, which is why it’s a good practice to use them to do tasks, or get information, that would take you longer to do, or get, manually, but that can be easily verified once you receive it.
This is 98% the right answer, but you drop them somewhere that keeps them intact, and believable enough so that people take them, and spend the rest of the weekend going to thrift stores trying to find an external floppy drive, and the next month trying to figure out how to get their iPhone to mount it.
Did you ever stop and think that maybe the problem with Gen Z was their lack of coal mining experience before the age of 12?
If this is your first time thinking about it, let me save you the trouble and assure you that yes, that is the problem.
So, long story short, we need to elect legislators that will finally allow young children back to working full-time in the mining industries.
Except for OP, it seems like they already have all the health benefits that come from spending an entire childhood breathing in coal dust.
The inability to relock the bootloader is gigantic security vulnerability. It negates, or entirely voids, a significant amount of a devices physical security, including FDE.
There are other security issues with LineageOS, but that’s part of the trade-off. There’s nothing inherently sinister or incompetent about that, it’s just the nature of the beast.
Regardless, I’m not here to chastise anyone’s choice of OS, or to even imply that there is a right, and wrong ROM, there isn’t.
I was just pointing out that there are pros and cons, and users should be aware of them when making those decisions.
Security and Privacy are not the same thing.
Stock Google is absolutely a hit to ones privacy, but LineageOS is a often big hit to device security.
If you don’t have a Pixel, and therefore can’t use GrapheneOS, check and see if your device is compatible with DivestOS.
However, neither will offer root support for reasons that both devs have decent write-ups explaining within each project’s documentation.
I do realize that not everyone places security above all other factors when deciding on their smartphone OS, but I think they should be aware of the trade-offs so they can make an informed decision.
$849 and $1,649? Those pricetags are so absurd that this post should be removed on principle alone, nevermind that it’s stealth marketing masquerading as an article.
I can’t believe you would blame the CIA for problems in Kenya.
I’m pretty sure notable CIA alumni even tried to promote Kenyan tourism.
I got as far as the second paragraph, which consists of the following quote from a Google VP:
“I’m not going to talk about Recall, but I think the reason that some people feel it’s creepy is when it doesn’t feel useful, and it doesn’t feel like something they initiated or that they get a clear benefit from it”
That’s somehow worse than I imagined. I can at least understand being intentionally sinister, or overtly anti-privacy, but that level of delusion is somehow actually more terrifying.
lol.
Just search for Purism customer support experiences.
I’m honestly amazed there hasn’t been a fraud, or some other consumer protection type criminal investigation.
All that baggage, and their hardware is also laughably outdated and overpriced.
Which is unfortunate, because the concept is amazing and clearly there’s a sizable market for it.
Here is an example of just ONE flavor of Purism customer experiences:
Announce current gen hardware and current pricing.
Customer pays
Customer receives hardware 5 years later, after being told approx. 362 times that cancellation refunds are down, or unable to be processed.
Customer tries to immediately return the 5 year old laptop that was just delivered and is told “No Returns”
There are other variations that you can read about on various forums.
VPNs don’t prevent tracking, especially when you’re logging into services.
They can help obfuscate your identity to varying degrees, but honestly this is a pretty odd decision. I’m guessing it has more to do with malicious activity, or some other type of activities that Reddit is trying to curtail, and they feel blocking VPN IP ranges will help them.
The USAF has significantly more planes and pilots then the USN.
However, the USN is technically the second largest air force currently operating in the world, behind the USAF.
This guy was only saved because he saved the screenshots.
This may seem like overkill, but whenever I’m dealing with customer service for a significant financial concern, I always take detailed notes: time, date, name, what was discussed, and screenshots when relevant.
Just a few years ago a large appliance company tried to dick me around on a faulty product that was several thousand dollars.
It took weeks of back and forth, but when I was able to make contact with a layer of management just outside and above their customer service channel with my very long and detailed log of their bullshit, they authorized a check the next day.
The general inability to manually order Podcasts and playlists is the only real serious drawback to the app.
Don’t get me wrong, it’s fantastic. I’m not a FOSS purist, and it’s still my primary podcast app. Just hoping one day to get that feature.
I mean, it probably will eventually, but that has nothing to do with LLMs, nor is it a technology that I want to exist.
I can definitely see a world where lobbyists for automakers and insurance companies create such a financial and regulatory burden, where only the wealthy can afford to drive their own cars, if they choose to. Where as everyone else must rent or lease their self driving car as is if it’s a IaaS or SaaS subscription.
But none of that has anything to do with using LLMs for the tasks they can accomplish, or telling people to stop bitching about them not being able to complete the tasks they aren’t good at, or even capable of.