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Show HN: Interactive Graph by LLM (GPT-4o)

45 pointsby caoxhuaabout 1 year ago

19 comments

simonwabout 1 year ago
From a previous submission of this domain (May last year): <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=35798482">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=35798482</a><p>&gt; After trying some queries, I found ChatGPT is good at finding public data, sometimes it may not be accurate, but overall, pretty good.<p>GPT-4o is no more reliable for this than GPT-4 or GPT-3.5 before it.<p>One of the many unintuitive things about LLMs is that they are terrible tools for looking up specific facts about the world - which is weird, because that&#x27;s traditionally one of the things computers have been best at.<p>If you want to build a working version of a system like this the trick would be to provide it access to tools for looking up data in citable, reliable data sources - things like the CIA World Factbook.<p>Then display the charts along with a link to that underlying reliable data.
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scrollawayabout 1 year ago
Cute, but can I see sources on the data? I tried some query on some belgian statistics and it gave me just... very weird numbers that i do not trust, but zero way to check them.
TOMDMabout 1 year ago
This is pretty cool, it&#x27;s snappy, it seems to work, but there&#x27;s no way I trust it without a way to check the LLM&#x27;s work.
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toxotabout 1 year ago
When prompted for<p>&#x27;daily unique visitors to openai.com by month since 2022 to 2024&#x27;<p>It gave a graph with 1) time axis decreasing left to right, 2) visitor numbers which can&#x27;t be real (near prefect linear trend) 3) points in the future, going out to Dec 31, 2024.
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hexomancerabout 1 year ago
Hmmm this doesn&#x27;t look right? : <a href="https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;AXoHKTTYYkeT3x" rel="nofollow">https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;AXoHKTTYYkeT3x</a>
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oytisabout 1 year ago
Looks about right <a href="https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;Gajr7yJ9O5x57o" rel="nofollow">https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;Gajr7yJ9O5x57o</a>
TNWinabout 1 year ago
Would you mind explaining a little more on what is happening in the background?<p>- What is your core technical value add?<p>- Do you have the data sets in your own database and you are using OpenAI to query them?<p>- Looks like you have your own home built database?<p>- Are you using LLM Agents?<p>- I saw that you have Airtable integrations, are you able to do the same for any datasource including Airtable?
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can16358pabout 1 year ago
Nice one, though I can&#x27;t scroll the list horizontally thus can&#x27;t read columns beyond screen bounds (iOS 17 Safari, tried &quot;best ingredients that go with bacon&quot; query and the result was a table view)
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elAhmoabout 1 year ago
I can&#x27;t believe there are no sources for the data. A few charts I tried seem off, but even in the cases where it looks like it might be right, trusting it without a source is a big no.
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sensanatyabout 1 year ago
How is this in any way different than an RNG? The numbers are completely made up, does slapping an AI label on a RNG somehow make this unique or interesting?
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caoxhuaabout 1 year ago
I don&#x27;t why it&#x27;s flagged, it&#x27;s just a free service for people to play with.
Nykonabout 1 year ago
GDP in Germany for the last 10 years<p>4k each year but the bar chart goes up<p>Sounds about right
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mindwokabout 1 year ago
I mean kudos, the UX here is so insanely good it feels like magic, but I don’t trust magic. Where’s the data coming from?
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dmdabout 1 year ago
I get that free will means you <i>can</i> do evil. But, given the choice, why would you not only do it this baldly, but then go out of your way to show it off?
simonwabout 1 year ago
Where do the numbers come from?
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constantcryingabout 1 year ago
I think what the world <i>really</i> needed right now was an LLM making up fake statistics, presented in a convincing high quality way.<p>There is just no way this could ever be a problem. Surely everybody knows that if presented with some data they need to do a deep dive into the actual sources instead of blindly trusting a graph.<p>I seriously want to know what was going on in the mind of the person who made this.
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7734128about 1 year ago
This might be a fun project, but it&#x27;s going to cause extreme misunderstanding for many people. People trust graphs, and users of this site are going to unwittingly spread falsehoods to for example r&#x2F;dataisbeautiful or even less reliable social media pages.<p>I&#x27;d urge you to take this site down as it will be net negative to the world.
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dailykoderabout 1 year ago
Wow, this is fantastic!! Thanks! Currently writing my PhD and this can be really useful<p><a href="https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;3Gk20NKW6D4vTt" rel="nofollow">https:&#x2F;&#x2F;columns.ai&#x2F;chatgpt&#x2F;3Gk20NKW6D4vTt</a>
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hagbard_cabout 1 year ago
The political bias in the results is astonishing and shows why these models should <i>not</i> be used for educational purposes. Just ask it a &quot;contentious&quot; question and notice it give biased and sometimes nonsensical results - &#x27;crime rate by political orientation&#x27; shows three &#x27;republican&#x27; states coming out on top with three &#x27;democratic&#x27; states filling out the bottom. When necessary it just seems to make up data to get the desired results, e.g. &#x27;murder rate by political orientation&#x27; talks about &#x27;Country A´ and &#x27;Country B&#x27; with, of course, &#x27;right&#x27; being far more murderous than &#x27;left&#x27;. It claims that &#x27;democratic New York&#x27; has the lowest crime rate. &#x27;IQ by political party&#x27; is another interesting example. Compare this to &#x27;trust in LLM output by political party&#x27; and maybe those &#x27;dumb republicans´ (who do not trust these models, together with the supposedly super-smart independents by the way) suddenly seem to be a lot smarter than all those &#x27;bright &quot;democrats&quot;&#x27;.<p>This site is a harbinger of the agitprop factories which are about to flood the &#x27;net due to the general availability of LLMs.
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