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There’s nothing contradictory in what is written there.
“The XTX is better - but you don’t deserve it, bitch”
Go with the XT, because I’m an evil AI and want all the XTXs for myself muahahaha
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I switched to duckduckgo before this bullshit, but this would 100% make me switch if I hadn’t already.
Who wants random ai gibberish to be the first thing they see?
DuckDuckGo started showing AI results for me.
I think it uses the bing engine iirc.
Sure, but it’s trivial to turn it off. While you’re there, also turn off ads.
And you can use multiple models, which I find handy.
There is some stuff that AI, or rather LLM search, is useful for, at least the time being.
Sometimes you need some information that would require clicking through a lot of sources just to find one that has what you need. With DDG, I can ask the question to their four models*, using four different Firefox containers, copy and paste.
See how their answers align, and then identify keywords from their responses that help me craft a precise search query to identify the obscure primary source I need.
This is especially useful when you don’t know the subject that you’re searching about very well.
*ChatGPT, Claude, Llama, and Mixtral are the available models. Relatively recent versions, but you’ll have to check for yourself which ones.
Better than an Ad I guess? Not sure if my searches haven’t returned any AI stuff like this or if my brain is already ignoring them like ads.
The plan is to monetize the AI results with ads.
I’m not even sure how that works, but I don’t like it.
Sounds like the advice you’d get in the first three comments asking a question on Reddit.
Here is what kagi delivers with the same prompt:
NB: quick answer is only generated when ending your search with a question mark
Problem is, you cannot trust it’s not hallucinating these stats
At least it’s citing sources and you can check to make sure. And from my anecdotal evidence it has been pretty good so far. It also told me on some occasions that the queried information was not found in it’s sources instead of just making something up. But it’s not perfect for sure, it’s always better to do manual research but for a first impression and to find some entry points I’ve found it useful so far
The problem is that you need to check those sources today make sure it’s not just making up bullshit and at that point you didn’t gain anything from the genai
As I said the links provide some entry points for further research. It’s providing some use to me because I don’t need to check every search result. But to each their own and I understand the general scepticism of generative “AI”
If you don’t check everyone source. It might be just bullshitting you. There’s people who followed your approach and got into hot shit with their bosses and judges
There is absolutely value in something compiling sources for you to personally review. Anyone who cannot use AI efficiently is analogous to someone who can’t see the utility in a graphing calculator. It’s not magic, it’s a tool. And tools need to be used precisely, and for appropriate purposes.
My plumber fucks up I don’t blame his wrench. My lawyers don’t vet their case work, I blame them.
It’s an LLM. Odds are it’s hallucinating the sources and they don’t even exist.
Know what does compile sources for you which are guaranteed to exist and be related to what you’re looking for…? A good old not LLM infected search engine.
If my plumber replaces their wrench for a rabid gerbil claiming it’ll be just as good I’m definitely changing plumbers.
The sources are the same result of the search? Or at least the top results?
That being said, I can’t trust MKBHD is not hallucinating either.
Its not artificial intelligence, its artificial idiocy
Nah. It’s real idiocy.
It’s all probability, what’s the most probable idiocy someone would answer?
Stochastic parrot
7900 XTX; more powerful, therefore better.
7900 XT; cheaper, therefore better.
It goes without saying that this shit doesn’t really understand what’s outputting; it’s picking words together and parsing a grammatically coherent whole, with barely any regard to semantics (meaning).
It should not be trying to provide you info directly, it should be showing you where to find it. For example, linking this or this*.
To add injury in this case it isn’t even providing you info, it’s bossing you around. Typical Microsoft “don’t inform a user, tell it [yes, “it”] what it should be doing” mindset. Specially bad in this case because cost vs. benefit varies a fair bit depending on where you are, often there’s no single “right” answer.
*OP, check those two links, they might be useful for you.
LLMs don’t “understand” anything, and it’s unfortunate that we’ve taken to using language related to human thinking to talk about software. It’s all data processing and models.
Yup, 100% this. And there’s a crowd of muppets arguing “ackshyually wut u’re definishun of unrurrstandin/intellijanse?” or “but hyumans do…”, but come on - that’s bullshit, and more often than not sealioning.
Don’t get me wrong - model-based data processing is still useful in quite a few situations. But they’re only a fraction of what big tech pretends that LLMs are useful for.
Yeah, I’m far from anti-AI, but we’re just not anywhere close to where people think we are with it. And I’m pretty sick of corporate leadership saying “We need to make more use of AI” without knowing the difference between an LLM and a machine learning application, or having any idea *how" their company could make use of one of the technologies.
It really feels like one of those hammer in search of a nail things.
ChatGPT4o can do some impressive and useful things. Here, Im just sending it a mediocre photo of a product with no other context, I didnt type a question. First, its identifying the subject, a drink can. Then its identifying the language used. Then its assuming I want to know about the product so its translating the text without being asked, because it knows I only read english. Then its providing background and also explaining what tamarind is and how it tastes. This is enough for me to make a fully informed decision. Google translate would require me to type the text in, and then would only translate without giving other useful info.
It was delicious.
Google: ok so the AI in search results is a good thing, got it!
The search engine LLMs suck. I’m guessing they use very small models to save compute. ChatGPT 4o and Claude 3.5 are much better.
And good luck typing that in if you don’t know the alphabet it’s written in and can’t copy/paste it.
SearXNG only returns results search engines agree on. That removes ads and this bullshit
Am i guessing it right that the XTX uses 50% more energy for the 20% more power?
That’s generally how it goes at the very top of capacity yes.
In one word: factory-overclocked
I’m sorry but we’re going to have to send that to the English teachers to see if it’s really one word…
(on mobile, so sorry for any formatting weirdness)
English teachers will only give you an arbitrary, subjective answer about whether it’s a word - you want a linguist if you want an objective answer.
Since we’re dealing with two different “words” (roots) here, factory and overclocked, the first thing to look for is compound stress. Many compound words in English get initial stress: compare “blackbird” and “a black bird”.
This isn’t foolproof, however. For some speakers there are compounds that don’t get compound stress - some speakers say “paper towel” as expected, while others say “paper towel”, but it’s still a compound either way.
So how can we actually tell that paper towel is one word? See if the first member of the potential compound (the non-head) can be modified in any way.
For example, we know doghouse is a compound because in “a big doghouse” big can only refer to the house, and cannot refer to “the house of a big dog”. Similarly, blackboard must be one word because it can take what appear to be contradictory modifiers: " a green blackboard".
So, in the same way, paper towel and toilet paper are one word because “big paper towel” can’t mean “a towel made from big paper” and “pink toilet paper” can’t mean “paper for a pink toilet”. (Toilet paper also gets compound stress.)
Yet another way to test is by semantic drift (meaning shift). As mentioned earlier, blackboards don’t have to be black, so the meaning of the compound doesn’t perfectly correspond to the pieces of the word - instead, the fact that it’s a vertical board you write on in chalk is much more important to the meaning. This is because once the pieces combine to form a new word, that new word can start to shift away from the meaning of the pieces. Again, however this process takes time, so it’s not a perfect test.
So, back to the original question: is “factory-overclocked” one word?
Well, it doesn’t get compound stress, and for me I can still say things like “it’s home-factory-overclocked” to mean that it was overclocked in its home factory, so the first member can take modifiers. And, the whole thing still means what the pieces mean.
So, in my grammar, “factory-overclocked” is two words. But for some of you “home factory overclocked” may not be possible, which would indicate that it’s started to become one word for you. Everyone’s grammar is different, but we can still test for these categories.
If you instead mean by your question, “can factory and overclocked be combined with a hyphen?”, however, I can’t help you, because language-specific writing conventions are subjective and arbitrary, and not something that linguists usually care very much about.
And this is why I love places like Lemmy. An offhand joke turns into an actual grammar lesson. Thank you!
After VAR the ruling has been overturned.
You can do this with practically any versus question and get hilarious results
This doesn’t appear to be comparing them, though? Just explaining what two acronyms are?
Yeah I should have mentioned the context is FBLA, and Google partially fixed the prompt.
Original from a few weeks ago:
BPA is another student org called Business Professionals of America
The AI ignores the subject context and just compares whatever is the most common acronym.
They lazy patched it by making the model do a subject check on the result, but not on the prompt so it still comes back with the chemical lol.
That’s a good summary. Google Gemini is no better. Type in a question and it starts off great but then devolves into other brands, other steps to do something that isn’t related to the thing you asked. It’s just terrible and someone will sue them over it next year. Just wait.
First of all, yes
Second option is no
When presented with yes / no pick no, no is the clear yes
Garbage in, something something
Jokes aside (and this whole AI search results thing is a joke) this seems like an artifact of sampling and tokenization.
I wouldn’t be surprised if the Gemini tokens for XTX are “XT” and “X” or something like that, so it’s got quite a chance of mixing them up after it writes out XT. Add in sampling (literally randomizing the token outputs a little), and I’m surprised it gets any of it right.
