Meanwhile Google search results:
- AI summary
- 2x “sponsored” result
- AI copy of Stackoverflow
- AI copy of Geeks4Geeks
- Geeks4Geeks (with AI article)
- the thing you actually searched for
- AI copy of AI copy of stackoverflow
Should we put bets on how long until chatgpt responds to anything with:
Great question, before i give you a response, let me show you this great video for a new product you’ll definitely want to check out!
“Great question, before i give you a response, let me introduce you to raid shadow legends!”
Less than a year.
I say 6 months.
I give him 11 minutes.
And my axe!
Username checks out
Nah, it’ll be more subtle than that. Just like Brawno is full of the electrolytes plants crave, responses will be full of subtle product and brand references marketers crave. And A/B studies performed at massive scales in real-time on unwitting users and evaluated with other AIs will help them zero in on the most effective way to pepper those in for each personality type it can differentiate.
We have new feature, use it!
No, its broken and stupid, I prefer old feature.
… Fine!
breaks old feature even harder
Even adding, “Reddit” after a search only brings up posts from 7 years ago.
yeah, but at least we can vet that shit better that the unsourced and hallucinated drivel provided by ChatGPT
I’ve used Google since 2004. I stopped using it this year because as the parent comment points out, it’s all marketing and AI. I like Qwant but it’s not perfect but it functions like a previous version of Google.
I have tried a few replacements for Google but I’ve yet to find anything remotely as effective for searches about things close to me. Like if I’m looking for a restaurant near me, kagi, startpage, and DDG are not good. Is qwant good for a use case like that? Haven’t heard about it before.
I’ve had some success but it goes off of your ISPs server location so for me it’s not very useful.
The irony is that Gemini Pro is actually better than ChatGPT (which is not saying a ton, as OpenAI have completely stagnated and even some small open models are better now), but whatever they use for search is beyond horrible.
Ugh. Don’t get me started.
Most people don’t understand that the only thing it does is ‘put words together that usually go together’. It doesn’t know if something is right or wrong, just if it ‘sounds right’.
Now, if you throw in enough data, it’ll kinda sorta make sense with what it writes. But as soon as you try to verify the things it writes, it falls apart.
I once asked it to write a small article with a bit of history about my city and five interesting things to visit. In the history bit, it confused two people with similar names who lived 200 years apart. In the ‘things to visit’, it listed two museums by name that are hundreds of miles away. It invented another museum that does not exist. It also happily tells you to visit our Olympic stadium. While we do have a stadium, I can assure you we never hosted the Olympics. I’d remember that, as i’m older than said stadium.
The scary bit is: what it wrote was lovely. If you read it, you’d want to visit for sure. You’d have no clue that it was wholly wrong, because it sounds so confident.
AI has its uses. I’ve used it to rewrite a text that I already had and it does fine with tasks like that. Because you give it the correct info to work with.
Use the tool appropriately and it’s handy. Use it inappropriately and it’s a fucking menace to society.
I gave it a math problem to illustrate this and it got it wrong
If it can’t do that imagine adding nuance
Well, math is not really a language problem, so it’s understandable LLMs struggle with it more.
But it means it’s not “thinking” as the public perceives ai
Hmm, yeah, AI never really did think. I can’t argue with that.
It’s really strange now if I mentally zoom out a bit, that we have machines that are better at languange based reasoning than logic based (like math or coding).
Not really true though. Computers are still better at math. They’re even pretty good at coding, if you count compiling high-level code into assembly as coding.
But in this case we built a language machine to respond to language with more language. Of course it’s not going to do great at other stuff.
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Ymmv i guess. I’ve given it many difficult calculus problems to help me through and it went well
I know this is off topic, but every time i see you comment of a thread all i can see is the pepsi logo (i use the sync app for reference)
You know, just for you: I just changed it to the Coca Cola santa :D
Spreading the holly day spirit
We are all dutch on this blessed day
We are all gekoloniseerd
Voyager doesn’t show user PFPs at all. :/
Wait, when did you do this? I just tried this for my town and researched each aspect to confirm myself. It was all correct. It talked about the natives that once lived here, how the land was taken by Mexico, then granted to some dude in the 1800s. The local attractions were spot on and things I’ve never heard of. I’m…I’m actually shocked and I just learned a bunch of actual history I had no idea of in my town 🤯
I did that test late last year, and repeated it with another town this summer to see if it had improved. Granted, it made less mistakes - but still very annoying ones. Like placing a tourist info at a completely incorrect, non-existent address.
I assume your result also depends a bit on what town you try. I doubt it has really been trained with information pertaining to a city of 160.000 inhabitants in the Netherlands. It should do better with the US I’d imagine.
The problem is it doesn’t tell you it has knowledge gaps like that. Instead, it chooses to be confidently incorrect.
Only 85k pop here, but yeah. I imagine it’s half YMMV, half straight up luck that the model doesn’t hallucinate shit.
GPTs natural language processing is extremely helpful for simple questions that have historically been difficult to Google because they aren’t a concise concept.
The type of thing that is easy to ask but hard to create a search query for like tip of my tongue questions.
Google used to be amazing at this. You could literally search “who dat guy dat paint dem melty clocks” and get the right answer immediately.
I mean tbf you can still search “who DAT guy” and it will give you Salvador Dali in one of those boxes that show up before the search results.
Did you chatgpt this title?
“Did you ChatGPT it?”
I wondered what language this would be an unintended insult in.
Then I chuckled when I ironically realized, it’s offensive in English, lmao.
Did you cat I farted it?
And then google to confirm the gpt answer isn’t total nonsense
I’ve had people tell me “Of course, I’ll verify the info if it’s important”, which implies that if the question isn’t important, they’ll just accept whatever ChatGPT gives them. They don’t care whether the answer is correct or not; they just want an answer.
That is a valid tactic for programming or how-to questions, provided you know not to unthinkingly drink bleach if it says to.
Well yeah. I’m not gonna verify how many butts it takes to swarm mount everest, because that’s not worth my time. The robot’s answer is close enough to satisfy my curiosity.
For the curious, I got two responses with different calculations and different answers as a result. So it could take anywhere from 1.5 to 7.5 billion butts to swarm mount everest. Again, I’m not checking the math because I got the answer I wanted.
Last night, we tried to use chatGPT to identify a book that my wife remembers from her childhood.
It didn’t find the book, but instead gave us a title for a theoretical book that could be written that would match her description.
At least it said if it exists, instead of telling you when it was written (hallucinating)
Maybe it’s trying to motivate me to become a writer.
Same happens every time I’ve tried to use it for search. Will be radioactive for this type of thing until someone figures that out. Quite frustrating, if they spent as much time on determining the difference between when a user wants objective information with citations as they do determining if the response breaks content guidelines, we might actually have something useful. Instead, we get AI slop.
I say, “Just search it.” Not interested in being free advertising for Google.
just call it cgpt for short
Computer Generated Partial Truths
How long until ChatGPT starts responding “It’s been generally agreed that the answer to your question is to just ask ChatGPT”?
This is entirely Google’s fault.
Google intentionally made search worse, but even if they want to make it better again, there’s very little they can do. The web itself is extremely low signal:noise, and it’s almost impossible to write an algorithm that lets the signal shine through (while also giving any search results back)
It would still be better if quality search (not extracting more and more money in the short term) was their goal.
Have they? Don’t think I’ve heard that once and I work with people who use chat gpt themselves
I’m with you. Never heard that. Never.
Just duck it bro. (Add !chat to your query or use ai assistant in results)
Reject proprietary LLMs, tell people to “just llama it”
Top is proprietary llms vs bottom self hosted llms. Bothe end with you getting smacked in the face but one looks far cooler or smarter to do, while the other one is streamlined web app that gets you there in one step.
But when it is open source, nobody gets regularly slain and the planet progressively destroyed due to mega conglomerate entities automating class violence
ChatGPT is a tool under development and it will definitely improve in the long term. There is no reason to shit on it like that.
Instead, focus on the real problems: AI not being open-source, AI being under the control of a few monopolies, and there being little to none regulations that ensure it develops in a healthy direction.
it will definitely improve in the long term.
Citation needed
There is no reason to shit on it like that.
Right now there is, because of how wrong it and other AIs can be, with the average person using the first answer as correct without double checking
This is a story that’s been rotating through the media since ChatGPT first released.
I have an unpopular opinion about this headline after seeing the media cycle repeatedly downplay/ignore what Alphabet has been doing in response to OpenAI: Google the search engine is not in direct competition with ChatGPT, but Gemini is, and Alphabet is smart to keep simpler/time-tested search functionality central to Google rather than react strongly and scrap the keyword-based search bar that users understand are comfortable using - especially older users, but I think most people are starting to discover they have a use for both search and LLM chats.
I think there are two product categories here, which first looked like they were going to converge in 2022-2024, but which are now slowly changing course as customers start to comprehend how both are necessary for different purposes.
When I make chats in ChatGPT or Gemini or Claude etc, I am starting to plan them longitudinally so that I can use them over and over for a specific project or query type.
When I turn to a search bar, it’s because I really want a proxy for a specific website or between me and whatever weird site has the answer to my specific question. It’s not that I want discussion and a chat about it, I just want Google’s card-like results with a website index I can read instead of that website’s stylized, animated web design on top or popups or malware.
Every time I get sucked into a chat with Bing CoPilot(ChatGPT) when I really only had a web search query, I regret wasting my time talking to the LLM. Almost as a reflex, I’ve started avoiding it for most things now.
