111–120 of 141 posts
I have been developing a hobby project (AI powered document search) for a few months and was in sore need of a frontend. My frontend development skills however are stuck in late 1990s and I have zero skill with anything but plain HTML and a little bit of JS. Several times I tried learning React, reading tutorials, watching videos, but the whole idea of it was very removed from how I learned to code, so I gave up ever…
I have been developing a hobby project (AI powered document search) for a few months and was in sore need of a frontend. My frontend development skills however are stuck in late 1990s and I have zero skill with anything but plain HTML and a little bit of JS. Several times I tried learning React, reading tutorials, watching videos, but the whole idea of it was very removed from how I learned to code, so I gave up ever…
It doesn't sound that much different than going through Google and Stackoverflow though, is it? In a few hours of googling you can probably get something working if you are an experienced dev.
That “it’s just a different search front end”… but I think after more experience with it I disagree.
At its worst, it’s “multiple searches” at once.
Example1… I wanted to find a CAGE for code a specific military mfg. I only had the last 3 digits. I asked for CAGE codes that match and got all the answers instantly. I could have searched this, but it would have been multiple searches.
I asked for the etymology for the Swahili word for trapezoid… again, multiple searches. If I could have found links to the Arabic root of some Swahili words at all.
That’s it’s worst case, convenient multiple searches. The better case is the UX of a conversation is powerful for the user, in a way we are just learning the words for.
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It doesn't sound that much different than going through Google and Stackoverflow though, is it? In a few hours of googling you can probably get something working if you are an experienced dev.
Presumably it does a better job than "closed as duplicate" or "you actually want XYZ even though you asked for ABC".
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> "But scientific facts are a different story. Nobody has any incentive to claim that 1+2=4 or that some function in Python does X when it really does Y." Incentive is irrelevant. What mattes is whether these things do happen, irrespective of intent -- and they do! I very, very frequently find incorrect answers to math questions, tech function questions, etc. Incentive is an important part of the dynamic, but it's no…
> It is so with GPT. Both systems are "trying to give you the best answer." No, based on your responses you do not understand how language model works. Google is searching in index using keywords and rankings, ChatGPT is predicting plausible words without searching anything anywhere. What you argue is like saying there is this two guys in library and you ask them to find you something that exists or maybe doesn't exi…
Expand your scope to both Google, and the creation of an ecosystem of SEO pages which Google incentives. They are the same, in totality. Google doesn't just index -- it also funds the creation of landing pages.
> "There is distinction between indexing human knowledge ... and creating statistics model between words and making things up that never existed and are wrong "
It's a false distinction. Google is more than a search engine; it is also an advertising company that incentivizes original content creation with the express intent of providing answers to queries.
I have been developing a hobby project (AI powered document search) for a few months and was in sore need of a frontend. My frontend development skills however are stuck in late 1990s and I have zero skill with anything but plain HTML and a little bit of JS. Several times I tried learning React, reading tutorials, watching videos, but the whole idea of it was very removed from how I learned to code, so I gave up ever…
It doesn't sound that much different than going through Google and Stackoverflow though, is it? In a few hours of googling you can probably get something working if you are an experienced dev.
But OP explicitly said they had little experience in this area. They also presumably have a technical career and are awash in the ways of Google. I'm in a similar situation to GP and have gone down that very path with React and whatnot. It's like you're starting a rodeo off the bull and have to figure out how to get back on. It's a terrible experience and you're left infuriated at a faceless collective that carelessly makes getting started so difficult.
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It doesn't sound that much different than going through Google and Stackoverflow though, is it? In a few hours of googling you can probably get something working if you are an experienced dev.
>if you are an experienced dev But OP explicitly said they had little experience in this area. They also presumably have a technical career and are awash in the ways of Google. I'm in a similar situation to GP and have gone down that very path with React and whatnot. It's like you're starting a rodeo off the bull and have to figure out how to get back on. It's a terrible experience and you're left infuriated at a fac…
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> "it is not Google hallucating it. It really exists on the internet," The exact same thing is true for chatGPT, or any other computer system. It is providing information and associations based on the input dataset. > "GPT is doing it." And google is "doing it," when google decides there is an association between my query and a bad response. Both systems are analyzing a corpus, drawing associations, and returning par…
> The exact same thing is true for chatGPT, or any other computer system. It is providing information and associations based on the input dataset. No, it's not, for example if you ask google to show you papers about some topic with words in quotes you think you remember from the paper it will show you the proper link IF it exists and language model will just generate you a result that doesn't exist. If I search somet…
Not really.
What will actually happen is Google may link me the actual research paper, along with thousands of other associated pages which may or may not have all kinds of fake, false information. For example, if I search for "study essential oils treat cancer" I get an estimated 190 millon matching documents. A huge percentage of these have false and misleading information about using oils to treat cancer.
> "language model will generate you plausible explanation/answer that can be 100% false and it doesn't know or understand that it's false and you will have no way to know if it's false or true and no point of reference because ALL the results you will receive could be hallucinated"
With google it is third parties "hallucinating" the wrong answers (or worse: intentionally answering wrong in order to exploit and profit). The overall dynamic is not different. Google is providing these wrong answers, written by others.
The overall dynamic of providing information of questionable veracity is generally the same - because the question of who creates the associations and incorrect content is not particularly germane.
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> It is so with GPT. Both systems are "trying to give you the best answer." No, based on your responses you do not understand how language model works. Google is searching in index using keywords and rankings, ChatGPT is predicting plausible words without searching anything anywhere. What you argue is like saying there is this two guys in library and you ask them to find you something that exists or maybe doesn't exi…
> "Google is searching in index using keywords and rankings, ChatGPT is predicting plausible words without searching anything anywhere." Expand your scope to both Google, and the creation of an ecosystem of SEO pages which Google incentives. They are the same, in totality. Google doesn't just index -- it also funds the creation of landing pages. > "There is distinction between indexing human knowledge ... and creatin…
Obvious straw man argument. Replace word google with search engine.
> Expand your scope to both Google, and the creation of an ecosystem of SEO pages which Google incentives. They are the same, in totality. Google doesn't just index -- it also funds the creation of landing pages.
This doesn't matter, you are mistaking dataset with the model. Search engine will not return to you things that were not in dataset, it will give you many results that you can judge with many points of reference. Language model will return you one answer, answer that could be a correct result that is inside the dataset or could be totally false and incorrect but plausible and you will have no point of reference to check that unless you use a real search engine.
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Confirmation bias - people want it to be a silver bullet so that they can make a blog post about how ChatGPT is amazing.
Exactly. As the OP of the blog, the amount of handholding I had to do for it to understand the syntax of an extremely tiny language was a lot. On the other hand, I’ve messed around with codex and other models before, and something about explaining in normal English, as though I was having a conversation rather than just listing some commands made it much easier. I’m excited not because of what exists right now, but b…
Earlier quoted context omitted.
> The exact same thing is true for chatGPT, or any other computer system. It is providing information and associations based on the input dataset. No, it's not, for example if you ask google to show you papers about some topic with words in quotes you think you remember from the paper it will show you the proper link IF it exists and language model will just generate you a result that doesn't exist. If I search somet…
> "if you ask google to show you papers about some topic with words in quotes you think you remember from the paper it will show you the proper link IF it exists and language model will just generate you a result that doesn't exist." Not really. What will actually happen is Google may link me the actual research paper, along with thousands of other associated pages which may or may not have all kinds of fake, false i…