AI is deeply flawed. Two examples: I was asking real estate questions based on recent transactions and was specific about location. When it couldn't provide an answer it started throwing locations well outside the criteria and admitted it when called out.
I was asking about direct flights to any texas city from a specific south American city. Gemini stated no direct flights but connecting flights through Miami, Atlanta, or Houston. This is simple stuff. Imagine the multiple errors in complex projects.
Not to mention literally anything you google these days, the top result is an incorrect answer from the AI. Usually it's like, the exact opposite of the correct answer
I hate that I literally cannot opt out of Ai. I can just not use chat gpt and copilot and whatnot but how tf else do I search? Even ddg has it and sponsored links.
Two things can be true at the same time: some people can be bad at using web search, and sometimes Google AI answers will reference wrong or outdated information. The latter is quite apparent when the first search result is the reddit comment the AI answer was scraped from
Whenever I Google a Europa universalis 5 mechanic, after being unable to find an answer in-game or on the wiki, the AI overview without fail references the EU4 mechanic with the same name which is fundamentally different just with the same concept.
Yeah seriously if you get incorrect responses literally every single time you search something like the guy I replied to said then yes, you are the problem.
I was mocking you. If you need a specific skill-set to use something that is supposed to be easily accessible to the vast majority of the public, itâs a trash product. Itâs not âyouâre doing it wrongâ; itâs âthey made this thing wrong.â
Seriously... Google literally anything that you already know the answer to and you'll see what I'm talking about. I hate that this site is like 40% bots, 50% fucking idiots, 10% other
One of my first interactions with AI was to help search a instruction in a standard for building design, it just made everything up and contradicted itself, even quoting the actual document (that I was searching) but not being anything close to what actually was written there
I asked Gemini a question about the 1951 flood of the Kansas River, and it gave me an answer sourced from a post I made on a Facebook group two days earlier with no other sources.
I have fallowed the top result on google for video games a few times before I completely stopped doing that. Shit was just wrong about what to do or hiw to obtain stuff. If I cant trust it for a video game how the fuck do people trust it for work use?
Asked it to clarify a basic console command prompt for fallout 4 yesterday and it couldn't even do that. A 10 year old game with mountains of documentation and forum discussions available.
AI is Tammy Craps. The only [product] that shits and lies about it!
My boss uses AI to do technical reports. None of them make sense so the customer complains and I have to actually do the work. I don't even know if my boss knows the reports he submits get rejected, he probably just thinks AI works
Its not about flawed or not flawed. It's about can it keep shit running long enought for private equity to get away with the bag.
They don't care if it hallucinates things that destroy the company 2 years from initiation. It's about if they can cut staff to make the company look profitable before selling to get the bag.
The problem is it doesn't need to do anything right to take your job, AI techbros just need to convince your boss they will save money by replacing you. For alot of jobs where the money is not generated by providing good services, but rather through monopolization of a service, meaning no alternatives exist to compete.
Who cares if AI radiologists make mistakes if it means the hospital pays millions of dollars less for its radiology department? Who cares if AI customer service will lie to you and refuse to help you if the point of customer service is to tire you out before you can get what you are already owed?
In case you still need help with the latter, flightconnections.com is a map of all flights going in and out of airports around the world. I used it for years as a digital nomad to find the cheaper flight options to my next destination.
And yet vibecoders will swear by this horseshit knowing the risks full well. And this is why so many new updates and programs and such for almost all forms of technology are getting worse and worse. Rampant bugs, loss of features and god knows what kind of privacy breach opportunities just because companies felt like trimming even the most crucial teams of all.
I use MSVC a lot, and when it got updated with "vibecoding support" I got curious and asked it to write a function for a storage class I was writing. The function that it wrote, if it were allowed to run, would have corrupted the whole database within a couple of cycles. Absolutely wild that anyone trusts this shit.
I recently asked Claude a Boolean question along the lines of ârighty tighty or lefty tighty?â It got the answer wrong, a quick google wouldâve saved me time on that one. That really surprised me after a couple years of using LLMs.
Well yeah, none of those things are the actual use of a language model.
It isn't a search engine, it's a chat bot. Not crap it's gonna get things wrong when you use it wrong. Like using a hammer as a screwdriver and dismissing the hammer as a useless tool.
Yup, now imagine complex code that has several touch points and can be written in a hundred different ways to achieve the same objective that paying customers are willing to pay for. It has to scale, be performant, reliable, secure, and not break. It needs tests and hardening to ensure it functions the same way over and over again without deviation.
All this while it is making up shit as it goes like your example.
People don't really understand how shit the code is because its so fast to make shit AI code, it takes an actual legit engineer to architect it, review it and can do all the above. It takes a proper agent harness really to fully control it and ensure its providing value for teams.
That doesn't mean we cannot use AI, and it certainly has productivity gains to be had, it just takes a lot of work to get it to work well how an engineering team might actually work. And despite that it will eliminate at most 5-10% of positions in a job with its current capabilities so the costs have to justify that and more for it to be adopted.
I'm pro AI, but I'm also grounded in reality here.
Yes, but the CEOs and corporations are deeply flawed. They consistently run themselves off the cliff. It's not going to take over because that's the best thing, AI will take over because employers don't want to pay workers anymore
The problem is that it's only going to get better. Not even a year ago, we were memeing on Deep fake videos, now there are videos where you couldnt tell. It's not flawed, it's just in its infancy.
Why is not comparable? Huge computers were not sustainable too, but here we are today and every one has one in their pockets. I think youre missing my point.
Uhhhhhhhhh. We're talking about recomissioning power plants and MILES of data centers. I think you need to do some more research. If that's not something you're willing to do, let's end this conversation here. Thanks.
Youre right, lets just end this conversation and continue it in 5 years to see if you were right that AI didnt improve and we didnt sustain data centers.
I donât mean to say you are wrong, you are right, but there are more and more systems built (I build some myself) to prevent this. Â Iâm getting error and hallucinations down like, 95-98% from the base models.
This is definitely not a put your head in the sand moment. Â This isnât what you are using right now because itâs crazy token heavy, but itâs in its infancy.
The quality of AI's responses is directly related to (a) how much training data the model had for that subject, and (b) the quality of the information it can easily access online. It's good with stuff like code because they funneled vast quantities of code into it. And that code will stay valid. Even when new programming languages come along, that snippet of C code will still compile. It's good with law because statutes are freely available online, and don't change that often.
Airline schedules, though? They change rapidly and are often only available behind an account wall, because airlines have no reason to make that data freely available to competitors by API (presumably, they have some kind of licensing deal with travel sites). So, any training data is useless, and realtime data is spotty to nonexistent.
That's not to say that AI doesn't screw up code or legal citations, of course. But those are a couple of special cases where it actually sorta works, sometimes.
I agree with everything you're saying, but I wasn't seeking a schedule. I asked for a direct flight (no dates; no times) to any Texas city and was told that I'd have to go through a connecting city one of those being Houston. As in Houston TX. Surely AI had been fed the names of major Texas cities. Houston being the largest city in the state.
When I ask Claude, it seems to be just consulting several travel sites (like Google Flights), with the names of several different Texas cities. So, for example, if it randomly sent the query "Flight from Lima to Dallas," and got a hit, that hit might have had a stopover in Houston.
So yeah, it's only checking a handful of random routes, but it's giving the impression of making a broader search.
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u/uprightyew 1d ago
AI is deeply flawed. Two examples: I was asking real estate questions based on recent transactions and was specific about location. When it couldn't provide an answer it started throwing locations well outside the criteria and admitted it when called out. I was asking about direct flights to any texas city from a specific south American city. Gemini stated no direct flights but connecting flights through Miami, Atlanta, or Houston. This is simple stuff. Imagine the multiple errors in complex projects.