Asklemmy

I don't think the comparison with crypto is fair.

People are actually using these models in their daily lives.

Senior developer here. It is hard to overstate just how useful AI has been for me.

It's like having a junior programmer on standby that I can send small tasks to--and just like the junior developer I have to review it and send it back with a clarification or comment about something that needs to be corrected. The difference is instead of making a ticket for a junior dev and waiting 3 days for it to come back, just to need corrections and wait another 3 days--I get it back in seconds.

Like most things, it's not as bad as some people say, and it's not the miracle others say.

This current generation was such a leap forward from previous AI's in terms of usefulness, that I think a lot of people were looking to the future with that current rate of gains--which can be scary. But it turns out that's not what happened. We got a big leap and now are back at a plateau again. Which honestly is a good thing, I think. This gives the world time to slowly adjust.

As far as similarities with crypto. Like crypto there are some ventures out there just slapping the word AI on something and calling it novel. This didn't work for crypto and likely won't work for AI. But unlike crypto there is actually real value being derived from AI right now, not some wild claims of a blockchain is the right DB for everything--which it was obviously not, and most people could see that, but hey investors are spending money so lets get some of it kind of mentality.

It's really good at filling in gaps, or rearranging things, or aggregating data or finding patterns.

So if you need gaps filled, things rearranged, data aggregated or patterns found: AI is useful.

And that's just what this one, dumb guy knows. Someone smarter can probably provide way more uses.

AI is nothing like cryptocurrency. Cryptocurrencies didn't solve any problems. We already use digital currencies and they're very convenient.

AI has solved many problems we couldn't solve before and it's still new. I don't doubt that AI will change the world. I believe 20 years from now, our society will be as dependent on AI as it is on the internet.

I have personally used it to automate some Excel stuff I do at work. I just described my sheet and what I wanted done and it gave me a block of code that did it. I had spent time previously looking stuff up on forums with no luck. My issue was too specific to my work that nobody seemed to have run into it before. One query to ChatGTP solved my issue perfectly in seconds, and that's just a new online tool in its infancy.

It's not bullshit. It routinely does stuff we thought might not happen this century. The trick is we don't understand how. At all. We know enough to build it and from there it's all a magical blackbox. For this reason it's hard to be certain if it will get even better, although there's no reason it couldn't.

Coming from CNC I don’t think I’d just send it with some chatgpt code.

That goes back to the "not knowing how it works" thing. ChatGPT predicts the next token, and has learned other things in order to do it better. There's no obvious way to force it to care if it's output is right or just right-looking, though. Until we solve that problem somehow, it's more of an assistant for someone who can read and understand what it puts out. Kind of like a calculator but for language.

Honestly crypto wasn't totally either. It was a marginally useful idea that turned into a Beanie-Babies-like craze. If you want to buy or sell illegal stuff (which could be bad or could be something like forbidden information on democracy) it's still king.

As a software engineer, I think it is beyond overhyped. I have seen it used once in my day job before it was banned. In that case, it hallucinated a function in a library that didn't exist outside of feature requests and based its entire solution around it. It can not replace programmers or creatives and produce consistently equal quality.

I think it's also extremely disingenuous for Large Language Models to be billed as "AI". They do not work like human cognition and are basically just plagiarism engines. They can assemble impressive stuff at a rapid speed but are incapable of completely novel "ideas" - everything that they output is built from a statistical model of existing data.

If the hallucination problem could be solved in a local dataset, I could see LLMs as a great tool for interacting with databases and documentation (for a fictional example, see: VIs in Mass Effect). As it is now, however, I feel that it's little more than an impressive parlor trick - one with a lot of future potential that is being almost completely ignored in favor of bludgeoning labor, worsening the human experience, and increasing wealth inequality.

Yes. What a strange question...as if hivemind fads are somehow relevant to the merits of a technology.

There are plenty of useful, novel applications for AI just like there are PLENTY of useful, novel applications for crypto. Just because the hivemind has turned to a new fad in technology doesn't mean that actual, intelligent people just stop using these novel technologies. There are legitimate use-cases for both AI and crypto. Degenerate gamblers and Do Kwan/SBF just caused a pendulum swing on crypto...nothing changed about the technology. It's just that the public has had their opinions shifted temporarily.

Yes, it is useful. I use ChatGPT heavily for:

• Brainstorming meal plans for the week given x, y, and z requirements

• Brainstorming solutions to abstract problems

• Helping me break down complex tasks into smaller, more achievable tasks.

• Helping me brainstorm programming solutions. This is a big one, I'm a junior dev and I sometimes encounter problems that aren't easily google-able. For example, ChatGPT helped me find the python moto library for intercepting and testing the boto AWS calls in my code. It's also been great for debugging hand-coded JSON and generating boilerplate. I've also used it to streamline unit test writing and documentation.

By far it's best utility (imo) is quickly filling in broad strokes knowledge gaps as a kind of interactive textbook. I'm using it to accelerate my Rust learning, and it's great. I have EMT co-workers going to paramedic school that use it to practice their paramedic curriculum. A close second in terms of usefulness is that it's like the world's smartest regex, and it's capable of very quickly parsing large texts or documents and providing useful output.

Focusing mostly on ChatGPT here as that is where the bulk of my experience is. Sometimes I'll run into a question that I wouldn't even know how best to Google it. I don't know the terminology for it or something like that. For example, there is a specific type of connection used for lighting stands that looks like a plug but there is also a screw that you use to lock it in. I had no idea what to Google to even search for it to buy the adapter I needed.

I asked it again as I forgot what the answer was and I had deleted that ChatGPT conversation from my history, and asked it like this.

I have a light stand that at the top has a connector that looks like a plug. What is that connector called?

And it just told me it's called a "spigot" or "stud" connection. Upon Googling it, that turned out to be correct, so I would know what to search for when it comes to searching for adapters. It also mentioned a few other related types of connections such as hot shoe and cold shoe connections, among others. They aren't correct, but are very much related, and it told me as such.

To put it more succinctly, if you don't know what to search for but have a general idea of the problem or question, it can take you 95% of the way there.

Yes, community list: https://lemmy.intai.tech/post/2182

LLM's are extremely flexible and capable encoding engines with emergent properties.

I wouldn't bank on them "replacing all software" soon but they are quickly moving into areas where classic Turing code just would not scale easily, usually due to complexity/maintainance.

I work at a small business and we use it to write out dumb social media post. I hated doing it before. Sometimes I'll write it myself still and ask chatgpt to add all the relevant emojis. I also think ai had the chance to be what we've always wanted from Alexa, assistant, and Siri. Deep system integration with the os will allow it to actually do what we want it to do with way less restrictions. Also, try using chatgpts voice recognition in the app. It blows the one built into your phone out of the water.

What regular people see as AI/ML is only a tip of an iceberg, that's why it feels kind of useless. There are ML systems which design super strong yet lightweight geometries, there are systems which track legal documents of large companies making lawyers obsolete, heck even cameras in mobile phones today are hyper dependent on ML and AI. ChatGPT and image generators are just toys for consumers so that public can get slowly familiar with current tech.

So I'm a reasearcher in this field and you're not wrong, there is a load of hype. So the area that's been getting the most attention lately is specifically generative machine learning techniques. The techniques are not exactly new (some date back to the 80s/90s) and they aren't actually that good at learning. By that I mean they need a lot of data and computation time to get good results. Two things that have gotten easier to access recently. However, it isn't always a requirement to have such a complex system. Even Eliza, a chatbot was made back in 1966 has suprising similar to the responses of some therapy chatbots today without using any machine learning. You should try it and see for yourself, I've seen people fooled by it and the code is really simple. Also people think things like Kalman filters are "smart" but it's just straightforward math so I guess the conclusion is people have biased opinions.

I find it useful in a lot of ways. I think people try to over apply it though. For example, as a software engineer, I would absolutely not trust AI to write an entire app. However, it's really good at generating "grunt work" code. API requests, unit tests, etc. Things that are well trodden, but change depending on the context.

I also find they're pretty good at explaining and summarizing information. The chat interface is especially useful in this regard because I can ask follow up questions to drill down into something I don't quite understand. Something that wouldn't be possible with a Wikipedia article, for example. For important information, you should obviously check other sources, but you should do that regardless of whether the writer is a human or machine.

Basically, it's good at that it's for: taking a massive compendium of existing information and applying it to the context you give it. It's not a problem solving engine or an artificial being.

AI != chatGPT

There are other ML models out there for all kinds of purposes. I heard someone made one at one point that could detect certain types of cancer from a cough

Copilot is pretty useful when programming as it is basically like what IDEs normally do (automatically generating boilerplate) but supercharged

As far as generating code is concerned it's never going to beat actually knowing what you're doing in a language for more complex stuff but it allows you to generate code for languages you're not familiar with

I use it all the time at work when I'm asked to write DAX because it's not particularly complex logic but the syntax makes me want to impale my face with a screwdriver

As a senior developer I see it unlocking so much more power in computing than a regular coder can muster.

There are literally cars in America driving around on their own, interacting with other traffic , navigating problems and junctions, following gestures and laws. It’s incredible and more impressive than chatgpt is. We are on our way to self-driving cars and lorries, self-service checkouts, delivery services and taxis, more efficient machines in agriculture and so many other things. It’s touching every facet of life.

we’re at a point where we’ve seen so many wonderful benefits of AI it’s time to apply it to everything and see what sticks.

Of course some people who invest in the stock market lose money but the technology is more than a step forward, it’s a leap forward.

Nursing student here. Quizlet has an AI function that lets you paste text into it and it outputs a studyset.

Most of my classes provide a study guide of some kind - just a list of topics we need to be familiar with. I'll take those and plug em into the AI thing: bam! Instantly generate like 200 flash cards to study for the next test.

It even auto-fills the actual subject matter. For example, the study guide will say sometime like "Summarize Louis Pasteur's contributions to the field of microbiology" and turn that into a flash card that reads:

(front)

Louis Pasteur

(back)

Verified the germ theory of disease

Developed a method to prevent the spoilage of liquids through heating (pasteurization)

Developed early anthrax and rabies vaccines

So I take my list of AI generated cards, then sift through the powerpoints and lecture videos etc from class: instead of building the study set from scratch, all I have to do is verify that the information it spit out is accurate (so far it's been like 98% on target, often explaining concepts better than the actual professor, lol), add images, and play with the formatting a bit so it reads a little easier on the eyes.

People always talk about AI in school in the context of cheating, but it is RIDICULOUSLY useful for students actually trying to learn.

Looking ahead, this tech has a ton of potential to be used as a kind of personal tutor for each student. There will be some growing pains for sure, but we definitely shouldn't ignore its constructive potential.

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We’ve been using it at my day job to help us outline ideas for our content writers. It writes garbage content on its own, but it is a decent tool for organizing ideas.

At least that is what we use it for. I’m sure there are other valuable uses, but it is not as valuable (to me at least) as it has been made out to be.

You could ask AI to find antibiotics to kill antibiotic resistant bacteria. The bonus would be to give it a lab and drones to conduct actual tests.

I mean, AI can be used to design a lot of robust yet efficient structures. In engineering and architecture, with enough data, AI can generate designs for buildings, and parts that are not only sturdy but can be built with less resources along with other design considerations. There's a really cool nasa video where competitors are trying to 3D print structures for habitation in space.

AI is also used in medicine to come up with new protein structures to create new medicine. It's also used in environmental sciences, to help predict earthquakes or monitor land use, etc.

There's a lot of practical uses for AI.

It's insanely useful.

Take ChatGPT for instance.

You can essentially use it as an interactive docs when learning something new.

You can paste in a large text document and get it summarize it.

You can paste in a review and get it to do sentiment analysis and generate scores out of 100 for different things (actively pursuing this at work and it looks great)

I use it all the time to write simple regex and code snippets.

Machine learning has many massive applications. Many phone cameras use it to get the quality of photos up massively.

It's used all over the place without you even realising.

It is extremely useful in the right circumstances. When people say it isn't useful or that it's 'stupid', they're not looking at the proper use cases - every tool has good and bad ways to use it (you wouldn't use a hammer to peel an apple).

For example, we will soon have fully rendered smoke simulated at real time in 3D spaces (ie. video games) because we can calculate a small portion of how that smoke looks and then have AI guess what the rest looks like (with shockingly good results!)

AI is not a fad, it's not going away, it's improving rapidly, and it is going to massively change our digital world within half a decade.

Opinion source: a professional programmer, game developer, and someone that thoroughly despises cryptocurrency

To the second question it's not novel at all. The models used were invented decades ago. What changed is Moores Law striked and we got stronger computational power especially graphics cards. It seems that there is some resource barrier that when surpassed turns these models from useless to useful.

As others have said, in it's current state, it can be useful in the early stages of anything you do, such as brainstorming. ChatGPT (I have most experience with) and other LLM excel at organizing, formating, explaining, etc the information of the internet. In almost all cases (at the moment) whatever they spit out needs to be fact checked and refined.

Just from personally dinking around with chatGPT a little, it does give you that "scarily good" feeling at first. You do start seeing it's flaws after a while, and you get to learn that it's quite fallible. The information it can spit out can be good for additional ideas and brainstorming.

What I want it do (and it might already, if not soon) is that I when I program something up and for the life of me can't find the cause of some bug, just be able to give it my entire code and my problem and see what's deal.

Yes and it should not be in a handful of companies and also be regulated up the ying yang. https://www.smartless.com/episodes/episode/256975de/mit-professor-max-tegmark-live-in-boston

I never interacted with any AI until ChatGPT started to get popular, and I could say I'm a bit of a tech guy (I like tech news, I selfhost some stuff on my NAS, I used Linux on my teenage days etc etc) but when I first interacted with it it was really jaw dropping for me.

Maybe the information isn't 100% real, but the way it paraphrases stuff is amazing to me.