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.
Subhashish
On Sat, Feb 4, 2023 at 1:06 PM Peter Southwood <
peter.southwood(a)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(a)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(a)gmail.com>
*Sent:* Saturday, February 4, 2023 8:10 AM
*To:* Wikimedia Mailing List <wikimedia-l(a)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(a)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(a)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…
[2]
https://www.ai.gov/wp-content/uploads/2023/01/NAIRR-TF-Final-Report-2023.pdf
------------------------------
*From:* Steven Walling <steven.walling(a)gmail.com>
*Sent:* Saturday, February 4, 2023 1:59 AM
*To:* Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org>
*Subject:* [Wikimedia-l] Re: Chat GPT
On Fri, Feb 3, 2023 at 9:47 PM Gerg? Tisza <gtisza(a)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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