Hi,
This podcast might be interesting for some on this thread:
https://www.nytimes.com/2023/02/15/podcasts/the-daily/chat-gpt-microsoft-bing-artificial-intelligence.html
There might be chance that something different or new is happening.
Who knows...
Best,
On Mon, Feb 6, 2023, 07:26 Peter Southwood <peter.southwood@telkomsa.net>
wrote:
> It would depend on whether it uses the text or the information/data. My
> guess is that the more it uses its own words, the more drift in meaning
> there will be, and the less reliable the result, but I have no way to test
> this hypothesis.
>
> Cheers, Peter
>
>
>
> *From:* Ilario Valdelli [mailto:valdelli@gmail.com]
> *Sent:* 06 February 2023 09:38
> *To:* Wikimedia Mailing List
> *Subject:* [Wikimedia-l] Re: Chat GPT
>
>
>
> 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.southwood@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:psubhashish@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 <toddmallen@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 <psubhashish@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.southwood@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:gnangarra@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 <adamsobieski@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 <vstavridoucoleman@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.henner@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 <adamsobieski@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.walling@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 <gtisza@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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> To unsubscribe send an email to wikimedia-l-leave@lists.wikimedia.org
>
>
>
>
> --
>
> Boodarwun
> Gnangarra
>
> 'ngany dabakarn koorliny arn boodjera dardoon ngalang Nyungar
> koortaboodjar'
>
>
>
>
>
>
> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
> Virus-free.www.avg.com
> <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient>
>
>
>
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This podcast might be interesting for some on this thread:
https://www.nytimes.com/2023/02/15/podcasts/the-daily/chat-gpt-microsoft-bing-artificial-intelligence.html
There might be chance that something different or new is happening.
Who knows...
Best,
On Mon, Feb 6, 2023, 07:26 Peter Southwood <peter.southwood@telkomsa.net>
wrote:
> It would depend on whether it uses the text or the information/data. My
> guess is that the more it uses its own words, the more drift in meaning
> there will be, and the less reliable the result, but I have no way to test
> this hypothesis.
>
> Cheers, Peter
>
>
>
> *From:* Ilario Valdelli [mailto:valdelli@gmail.com]
> *Sent:* 06 February 2023 09:38
> *To:* Wikimedia Mailing List
> *Subject:* [Wikimedia-l] Re: Chat GPT
>
>
>
> 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.southwood@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:psubhashish@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 <toddmallen@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 <psubhashish@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.southwood@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:gnangarra@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 <adamsobieski@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 <vstavridoucoleman@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.henner@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 <adamsobieski@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.walling@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 <gtisza@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
>
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> koortaboodjar'
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