Hello,
About my experiences with Chat CPT - is it good enough to write our
articles? - I made this video:
https://youtu.be/zKPEyxYt5kg
Kind regards
Ziko

Am Di., 20. Dez. 2022 um 20:25 Uhr schrieb Pharos
<[email protected]>:
>
> 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. 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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>>
>>
>>
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