Hi again,

There was a very quick follow up:
https://www.nytimes.com/2023/02/17/podcasts/the-daily/the-online-search-wars-got-scary-fast.html

If you found the prior podcast interesting, you won't regret to check this
one as well.


Best!


On Fri, Feb 17, 2023, 05:24 Ali Kia <alikia...@gmail.com> wrote:

> Hi.
> Thank you for your cooperation.
>
> در تاریخ پنجشنبه ۱۶ فوریهٔ ۲۰۲۳،‏ ۱۸:۱۸ The Cunctator <cuncta...@gmail.com>
> نوشت:
>
>> This is almost definitely the case.
>>
>> On Mon, Feb 6, 2023, 2:39 AM Ilario Valdelli <valde...@gmail.com> wrote:
>>
>>> And this is a problem.
>>>
>>> If ChatGPT uses open content, there is an infringement of license.
>>>
>>> Specifically the CC-by-sa if it uses Wikipedia. In this case the
>>> attribution must be present.
>>>
>>> Kind regards
>>>
>>> On Sun, 5 Feb 2023, 08:12 Peter Southwood, <peter.southw...@telkomsa.net>
>>> wrote:
>>>
>>>> “Not citing sources is probably a conscious design choice, as citing
>>>> sources would mean sharing the sources used to train the language models”
>>>> This may be a choice that comes back to bite them. Without citing their
>>>> sources, they are unreliable as a source for anything one does not know
>>>> already. Someone will have a bad consequence from relying on the
>>>> information and will sue the publisher. It will be interesting to see how
>>>> they plan to weasel their way out of legal responsibility while retaining
>>>> any credibility. My guess is there will be a requirement to state that the
>>>> information is AI generated and of entirely unknown and untested
>>>> reliability. How soon to the first class action, I wonder. Lots of money
>>>> for the lawyers. Cheers, Peter.
>>>>
>>>>
>>>>
>>>> *From:* Subhashish [mailto:psubhash...@gmail.com]
>>>> *Sent:* 05 February 2023 06:37
>>>> *To:* Wikimedia Mailing List
>>>> *Subject:* [Wikimedia-l] Re: Chat GPT
>>>>
>>>>
>>>>
>>>> Just to clarify, my point was not about Getty to begin with. Whether
>>>> Getty would win and whether a big corporation should own such a large
>>>> amount of visual content are questions outside this particular thread. It
>>>> would certainly be interesting to see how things roll.
>>>>
>>>>
>>>>
>>>> But AI/ML is way more than just looking. Training with large models is
>>>> a very sophisticated and technical process. Data annotation among many
>>>> other forms of labour are done by real people. the article I had linked
>>>> earlier tells a lot about the real world consequences of AI. I'm certain
>>>> AI/ML, especially when we're talking about language models like ChatGPT,
>>>> are far from innocent looking/reading. For starters, derivative of works,
>>>> except Public Domain ones, must attribute the authors. Any provision for
>>>> attribution is deliberately removed from systems like ChatGPT and that only
>>>> gives corporations like OpenAI a free ride sans accountability.
>>>>
>>>>
>>>>
>>>> Subhashish
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Sat, Feb 4, 2023, 4:41 PM Todd Allen <toddmal...@gmail.com> wrote:
>>>>
>>>> I'm not so sure Getty's got a case, though. If the images are on the
>>>> Web, is using them to train an AI something copyright would cover? That to
>>>> me seems more equivalent to just looking at the images, and there's no
>>>> copyright problem in going to Getty's site and just looking at a bunch of
>>>> their pictures.
>>>>
>>>>
>>>>
>>>> But it will be interesting to see how that one shakes out.
>>>>
>>>>
>>>>
>>>> Todd
>>>>
>>>>
>>>>
>>>> On Sat, Feb 4, 2023 at 11:47 AM Subhashish <psubhash...@gmail.com>
>>>> wrote:
>>>>
>>>> Not citing sources is probably a conscious design choice, as citing
>>>> sources would mean sharing the sources used to train the language models.
>>>> Getty has just sued Stability AI, alleging the use of 12 million
>>>> photographs without permission or compensation. Imagine if Stability had to
>>>> purchase from Getty through a legal process. For starters, Getty might not
>>>> have agreed in the first place. Bulk-scaping publicly visible text in
>>>> text-based AIs like ChatGPT would mean scraping text with copyright. But
>>>> even reusing CC BY-SA content would require attribution. None of the AI
>>>> platforms attributes their sources because they did not acquire content in
>>>> legal and ethical ways [1]. Large language models won't be large and
>>>> releases won't happen fast if they actually start acquiring content
>>>> gradually from trustworthy sources. It took so many years for hundreds and
>>>> thousands of Wikimedians to take Wikipedias in different languages to where
>>>> they are for a reason.
>>>>
>>>>
>>>>
>>>> 1. https://time.com/6247678/openai-chatgpt-kenya-workers/
>>>>
>>>>
>>>> Subhashish
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Sat, Feb 4, 2023 at 1:06 PM Peter Southwood <
>>>> peter.southw...@telkomsa.net> wrote:
>>>>
>>>> From what I have seen the AIs are not great on citing sources. If they
>>>> start citing reliable sources, their contributions can be verified, or not.
>>>> If they produce verifiable, adequately sourced, well written information,
>>>> are they a problem or a solution?
>>>>
>>>> Cheers,
>>>>
>>>> Peter
>>>>
>>>>
>>>>
>>>> *From:* Gnangarra [mailto:gnanga...@gmail.com]
>>>> *Sent:* 04 February 2023 17:04
>>>> *To:* Wikimedia Mailing List
>>>> *Subject:* [Wikimedia-l] Re: Chat GPT
>>>>
>>>>
>>>>
>>>> I see our biggest challenge is going to be detecting these AI tools
>>>> adding content whether it's media or articles, along with identifying when
>>>> they are in use by sources.  The failing of all new AI is not in its
>>>> ability but in the lack of transparency with that being able to be
>>>> identified by the readers. We have seen people impersonating musicians and
>>>> writing songs in their style. We have also seen pictures that have been
>>>> created by copying someone else's work yet not acknowledging it as being
>>>> derivative of any kind.
>>>>
>>>>
>>>>
>>>> Our big problems will be in ensuring that copyright is respected in
>>>> legally, and not hosting anything that is even remotely dubious
>>>>
>>>>
>>>>
>>>> On Sat, 4 Feb 2023 at 22:24, Adam Sobieski <adamsobie...@hotmail.com>
>>>> wrote:
>>>>
>>>> Brainstorming on how to drive traffic to Wikimedia content from
>>>> conversational media, UI/UX designers could provide menu items or buttons
>>>> on chatbots' applications or webpage components (e.g., to read more about
>>>> the content, to navigate to cited resources, to edit the content, to
>>>> discuss the content, to upvote/downvote the content, to share the content
>>>> or the recent dialogue history on social media, to request
>>>> review/moderation/curation for the content, etc.). Many of these envisioned
>>>> menu items or buttons would operate contextually during dialogues, upon the
>>>> most recent (or otherwise selected) responses provided by the chatbot or
>>>> upon the recent transcripts. Some of these features could also be made
>>>> available to end-users via spoken-language commands.
>>>>
>>>> At any point during hypertext-based dialogues, end-users would be able
>>>> to navigate to Wikimedia content. These navigations could utilize either
>>>> URL query string arguments or HTTP POST. In either case, bulk usage data,
>>>> e.g., those dialogue contexts navigated from, could be useful.
>>>>
>>>> The capability to perform A/B testing across chatbots’ dialogues, over
>>>> large populations of end-users, could also be useful. In this way,
>>>> Wikimedia would be better able to: (1) measure end-user engagement and
>>>> satisfaction, (2) measure the quality of provided content, (3) perform
>>>> personalization, (4) retain readers and editors. A/B testing could be
>>>> performed by providing end-users with various feedback buttons (as
>>>> described above). A/B testing data could also be obtained through data
>>>> mining, analyzing end-users’ behaviors, response times, responses, and
>>>> dialogue moves. These data could be provided for the community at special
>>>> pages and could be made available per article, possibly by enhancing the
>>>> “Page information” system. One can also envision these kinds of analytics
>>>> data existing at the granularity of portions of, or selections of,
>>>> articles.
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> Best regards,
>>>>
>>>> Adam
>>>>
>>>>
>>>> ------------------------------
>>>>
>>>> *From:* Victoria Coleman <vstavridoucole...@gmail.com>
>>>> *Sent:* Saturday, February 4, 2023 8:10 AM
>>>> *To:* Wikimedia Mailing List <wikimedia-l@lists.wikimedia.org>
>>>> *Subject:* [Wikimedia-l] Re: Chat GPT
>>>>
>>>>
>>>>
>>>> Hi Christophe,
>>>>
>>>>
>>>>
>>>> I had not thought about the threat to Wikipedia traffic from Chat GPT
>>>> but you have a good point. The success of the projects is always one step
>>>> away from the next big disruption. So the WMF as the tech provider for the
>>>> mission (because first and foremost in my view that?s what the WMF is - as
>>>> well as the financial engine of the movement of course) needs to pay
>>>> attention and experiment to maintain the long term viability of the
>>>> mission. In fact I think the cluster of our projects offers compelling
>>>> options. For example to your point below on data sets, we have the amazing
>>>> Wikidata as well the excellent work on abstract Wikipedia. We have
>>>> Wikipedia Enterprise which has built some avenues of collaboration with big
>>>> tech. A bold vision is needed to bring all of it together and build an MVP
>>>> for the community to experiment with.
>>>>
>>>> Best regards,
>>>>
>>>>
>>>>
>>>> Victoria Coleman
>>>>
>>>>
>>>>
>>>> On Feb 4, 2023, at 4:14 AM, Christophe Henner <
>>>> christophe.hen...@gmail.com> wrote:
>>>>
>>>> ?Hi,
>>>>
>>>>
>>>>
>>>> On the product side, NLP based AI biggest concern to me is that it
>>>> would drastically decrease traffic to our websites/apps. Which means less
>>>> new editors ans less donations.
>>>>
>>>>
>>>>
>>>> So first from a strictly positioning perspective, we have here a major
>>>> change that needs to be managed.
>>>>
>>>>
>>>>
>>>> And to be honest, it will come faster than we think. We are
>>>> perfectionists, I can assure you, most companies would be happy to launch a
>>>> search product with a 80% confidence in answers quality.
>>>>
>>>>
>>>>
>>>> From a financial perspective, large industrial investment like this are
>>>> usually a pool of money you can draw from in x years. You can expect they
>>>> did not draw all of it yet.
>>>>
>>>>
>>>>
>>>> Second, GPT 3 and ChatGPT are far from being the most expensive
>>>> products they have. On top of people you need:
>>>>
>>>> * datasets
>>>>
>>>> * people to tag the dataset
>>>>
>>>> * people to correct the algo
>>>>
>>>> * computing power
>>>>
>>>>
>>>>
>>>> I simplify here, but we already have the capacity to muster some of
>>>> that, which drastically lowers our costs :)
>>>>
>>>>
>>>>
>>>> I would not discard the option of the movement doing it so easily. That
>>>> being said, it would mean a new project with the need of substantial
>>>> ressources.
>>>>
>>>>
>>>>
>>>> Sent from my iPhone
>>>>
>>>>
>>>>
>>>> On Feb 4, 2023, at 9:30 AM, Adam Sobieski <adamsobie...@hotmail.com>
>>>> wrote:
>>>>
>>>> ?
>>>>
>>>> With respect to cloud computing costs, these being a significant
>>>> component of the costs to train and operate modern AI systems, as a
>>>> non-profit organization, the Wikimedia Foundation might be interested in
>>>> the National Research Cloud (NRC) policy proposal:
>>>> https://hai.stanford.edu/policy/national-research-cloud .
>>>>
>>>>
>>>>
>>>> "Artificial intelligence requires vast amounts of computing power,
>>>> data, and expertise to train and deploy the massive machine learning models
>>>> behind the most advanced research. But access is increasingly out of reach
>>>> for most colleges and universities. A National Research Cloud (NRC) would
>>>> provide academic and *non-profit researchers* with the compute power
>>>> and government datasets needed for education and research. By democratizing
>>>> access and equity for all colleges and universities, an NRC has the
>>>> potential not only to unleash a string of advancements in AI, but to help
>>>> ensure the U.S. maintains its leadership and competitiveness on the global
>>>> stage.
>>>>
>>>>
>>>>
>>>> "Throughout 2020, Stanford HAI led efforts with 22 top computer science
>>>> universities along with a bipartisan, bicameral group of lawmakers
>>>> proposing legislation to bring the NRC to fruition. On January 1, 2021, the
>>>> U.S. Congress authorized the National AI Research Resource Task Force Act
>>>> as part of the National Defense Authorization Act for Fiscal Year 2021.
>>>> This law requires that a federal task force be established to study and
>>>> provide an implementation pathway to create world-class computational
>>>> resources and robust government datasets for researchers across the country
>>>> in the form of a National Research Cloud. The task force will issue a final
>>>> report to the President and Congress next year.
>>>>
>>>>
>>>>
>>>> "The promise of an NRC is to democratize AI research, education, and
>>>> innovation, making it accessible to all colleges and universities across
>>>> the country. Without a National Research Cloud, all but the most elite
>>>> universities risk losing the ability to conduct meaningful AI research and
>>>> to adequately educate the next generation of AI researchers."
>>>>
>>>>
>>>>
>>>> See also: [1][2]
>>>>
>>>>
>>>>
>>>> [1]
>>>> https://www.whitehouse.gov/ostp/news-updates/2023/01/24/national-artificial-intelligence-research-resource-task-force-releases-final-report/
>>>>
>>>> [2]
>>>> https://www.ai.gov/wp-content/uploads/2023/01/NAIRR-TF-Final-Report-2023.pdf
>>>>
>>>>
>>>> ------------------------------
>>>>
>>>> *From:* Steven Walling <steven.wall...@gmail.com>
>>>> *Sent:* Saturday, February 4, 2023 1:59 AM
>>>> *To:* Wikimedia Mailing List <wikimedia-l@lists.wikimedia.org>
>>>> *Subject:* [Wikimedia-l] Re: Chat GPT
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Fri, Feb 3, 2023 at 9:47 PM Gerg? Tisza <gti...@gmail.com> wrote:
>>>>
>>>> Just to give a sense of scale: OpenAI started with a $1 billion
>>>> donation, got another $1B as investment, and is now getting a larger
>>>> investment from Microsoft (undisclosed but rumored to be $10B). Assuming
>>>> they spent most of their previous funding, which seems likely, their
>>>> operational costs are in the ballpark of $300 million per year. The idea
>>>> that the WMF could just choose to create conversational software of a
>>>> similar quality if it wanted seems detached from reality to me.
>>>>
>>>>
>>>>
>>>> Without spending billions on LLM development to aim for a
>>>> conversational chatbot trying to pass a Turing test, we could definitely
>>>> try to catch up to the state of the art in search results. Our search
>>>> currently does a pretty bad job (in terms of recall especially). Today's
>>>> featured article in English is the Hot Chip album "Made in the Dark", and
>>>> if I enter anything but the exact article title the typeahead results are
>>>> woefully incomplete or wrong. If I ask an actual question, good luck.
>>>>
>>>>
>>>>
>>>> Google is feeling vulnerable to OpenAI here in part because everyone
>>>> can see that their results are often full of low quality junk created for
>>>> SEO, while ChatGPT just gives a concise answer right there.
>>>>
>>>>
>>>>
>>>> https://en.wikipedia.org/wiki/The_Menu_(2022_film) is one of the top
>>>> viewed English articles. If I search "The Menu reviews" the Google results
>>>> are noisy and not so great. ChatGPT actually gives you nothing relevant
>>>> because it doesn't know anything from 2022. If we could just manage to
>>>> display the three sentence snippet of our article about the critical
>>>> response section of the article, it would be awesome. It's too bad that the
>>>> whole "knowledge engine" debacle poisoned the well when it comes to a
>>>> Wikipedia search engine, because we could definitely do a lot to learn from
>>>> what people like about ChatGPT and apply to Wikipedia search.
>>>>
>>>>
>>>>
>>>> _______________________________________________
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>>>>
>>>>
>>>> --
>>>>
>>>> Boodarwun
>>>> Gnangarra
>>>>
>>>> 'ngany dabakarn koorliny arn boodjera dardoon ngalang Nyungar
>>>> koortaboodjar'
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
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