I'd like to share my experiment with using ChapGPT to help write an article
on English Wikipedia:

https://en.wikipedia.org/wiki/Artwork_title

You can see an explanation of the process here, your comments are welcome:

https://en.wikipedia.org/wiki/Talk:Artwork_title#Use_of_ChatGPT

Thanks,
Richard
(User:Pharos)

On Tue, Dec 20, 2022 at 1:45 PM ZhaoFJx <[email protected]> wrote:

> I'd be curious about copyright issues though, as it's licensed on Github
> <https://github.com/acheong08/ChatGPT/blob/main/LICENSE>. It may indeed
> be infringing copyright, since he may require attribution. However, I agree
> with The Cunctator that the community won't do anything about it.
>
> Incidentally, I'm a little worried that he might grab broken content that
> wasn't rolled back. After all - the current artificial intelligence can not
> reach the level of human thinking
>
> Sincerely,
> ZhaoFJx
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>
> Anders Wennersten <[email protected]> 于2022年12月19日周一 08:52写道:
>
>> I think we should not underestimate what this could evolve into. We
>> thrived because our readers find us "good enough" when it comes to finding
>> facts, not the ultimate source.
>>
>> And the software learns by reading, and can (and have done so) Wikipedia,
>> Wikidata etc and represent our data in its own syntax och present it in a
>> way so it is not a direct copy. Perhaps data will be a bit delayed to the
>> actual content in Wikipedia, but so what - good enough?
>>
>> Anders
>>
>> Den 2022-12-19 kl. 14:26, skrev Gnangarra:
>>
>> AI simply cant descriminate between good research and faked research, for
>> any outcome it must provide all of its sources whether they are from
>> Wikipedia, Wikidata, WikiCommons, WikiSource or some other place.
>> Otherwise it will answer yes to some asking if the world is flat because
>> it'll seek out that answer and find all the nonsense that has been produced.
>>
>> On Mon, 19 Dec 2022 at 06:02, Erik Moeller <[email protected]> wrote:
>>
>>> On Sun, Dec 11, 2022 at 5:55 AM Anders Wennersten
>>> <[email protected]> wrote:
>>> > ChatGPT is now making headlines more or less every day  and I perceive
>>> > them to try to position themself  av the "next" google.
>>>
>>> I suspect OpenAI will continue to focus on generative applications
>>> (images, code, text for purposes such as copywriting, eventually
>>> music/video) and won't attempt to compete with Google directly, but
>>> we'll see. Currently GPT-3.5 (which ChatGPT is based on) is very prone
>>> to generating nonsensical answers, citations to works that don't
>>> exist, etc. But it is pretty cool if you keep its limitations in
>>> mind--for example, it's quite good at bootstrapping small scripts in
>>> various programming languages (with mistakes and idiosyncrasies).
>>>
>>> Google has one of the largest AI research programs on the planet, they
>>> just are extremely conservative about letting anyone try their models
>>> (due to reputational concerns, e.g., that generative AI will spit out
>>> racist output within about 30 seconds of people poking its
>>> guardrails). This blog post from September is instructive about the
>>> direction they're taking with what's called retrieval-augmented
>>> generation; see the paper linked from the post for details:
>>>
>>> https://www.deepmind.com/blog/building-safer-dialogue-agents (DeepMind
>>> is part of Google)
>>>
>>> That is likely to yield significantly more accurate answers than what
>>> ChatGPT is doing, and is difficult to replicate for folks like OpenAI
>>> without being dependent on the search APIs of big search companies.
>>> It's worth noting that Google has also started to incorporate language
>>> model tooling into how it's presenting search results (e.g.,
>>> summarizing or highlighting different parts of a website to make the
>>> result snippet more useful).
>>>
>>> A retrieval-augmented approach that leverages Wikidata could IMO be
>>> quite powerful and could be a useful research program for Wikimedia to
>>> pursue, be it independently or in partnership with others. The
>>> resulting technology should of course be fully open source.
>>>
>>> Querying Wikidata via SPARQL is currently still a bit of wizardry (and
>>> the query builder is extremely limited). To pick a completely random
>>> example not at all inspired by current events, if I wanted to see a
>>> list of journalists with Mastodon accounts & a picture, I currently
>>> have to do this:
>>>
>>> SELECT DISTINCT ?personLabel ?mastodonName ?pic
>>> WHERE {
>>>   ?person wdt:P4033 ?mastodonName ;
>>>     wdt:P106 ?occupation .
>>>   OPTIONAL { ?person wdt:P18 ?pic . }
>>>   ?occupation wdt:P279* wd:Q1930187 .
>>>    SERVICE wikibase:label {
>>>      bd:serviceParam wikibase:language "en"
>>>    }
>>> }
>>>
>>> Make a small mistake (a curly brace missing) and you'll get a red
>>> error message. Forgot the * after wdt:P279? A different response set
>>> in ways that are difficult to spot or reason about.
>>>
>>> Why can't I type "list of journalists with their picture and Mastodon
>>> account" as a natural language query? (You can try it in ChatGPT and
>>> it'll get you started, but it'll generate nonsense P/Q numbers.) If
>>> such queries could be produced reliably, it could be a very useful
>>> tool for readers as well.
>>>
>>> Warmly,
>>> Erik
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>>
>>
>> --
>> Boodarwun
>> Gnangarra
>> 'ngany dabakarn koorliny arn boodjera dardoon ngalang Nyungar
>> koortaboodjar'
>>
>>
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