Lydia and Amir FTW.
(There seems to be a pattern of good news from the Wikidata and ORES teams.
I wonder if Team Practices could facilitate the replication of some of
their methods!)
Onward ho,
Pine
On Jun 16, 2016 10:14, "Lydia Pintscher" <Lydia.Pintscher(a)wikimedia.de>
wrote:
Hey folks :)
Amir and other have worked hard over the past months to bring ORES to
Wikidata. The goal is to use machine learning to make it easier to spot
potentially bad edits. ORES is now available as a beta feature on Wikidata.
Once you have enabled it you can see some edits in recent changes and
watchlist will show up in a different color or have a little r in front of
them. These edits are judged as potentially bad and should probably get
more review. In your preferences you can adjust how harsh ORES should
judge. You can also filter your watchlist/recent changes to only show
potentially bad edits. Patrolled edits won't be shown as potentially bad.
This should be a huge step towards making it easier to find and fight
vandalism on Wikidata.
Cheers
Lydia
--
Lydia Pintscher - http://about.me/lydia.pintscher
Product Manager for Wikidata
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24
10963 Berlin
www.wikimedia.de
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
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Just a quick thought that I shared in IRC earlier.
AI isn't magical. It's pretty cool, but you're not going to have a
> conversation with ORES
> <https://meta.wikimedia.org/wiki/Objective_Revision_Evaluation_Service>.
>
It's not false that we are closer to strong "conversational" AI than ever
before. Still, in practical terms, we're pretty far away from not needing
to program anymore. I find that articles like this are more fantastical
than informative. I guess it is interesting to think about where we'll be
when we can have an abstract conversation with a computer system rather
than the rigid specifics of programming, but I'm with Brian -- this seems
to be a cycle. Though, I'd say the media does boom and bust, but the
research carries on relatively consistently since AI researchers are
usually less interested in the hype.
In the ORES project, we're using the most simplistic "AIs" available --
classifiers. Still these dumb AIs can still help us to do amazing things
(e.g. review all of RecentChanges in 50x faster or augment article
histories with information about the *type of change* made). IMO, it's
these amazing and powerful things that dumb, non-conversational AIs can do
that is very powerful and a little scary
<http://www.nytimes.com/2016/05/19/opinion/the-real-bias-built-in-at-faceboo…>.
We're hardly taking advantage of that at all. I think that's where the
next big revolution with AI is taking place right now. It's going to
change a lot of things and infect many aspects of our life (and in many
ways it already has).
-Aaron
On Fri, May 20, 2016 at 2:43 PM, Purodha Blissenbach <
purodha(a)blissenbach.org> wrote:
> I see only an ad to support Wired.
> Purodha
>
>
> On 20.05.2016 20:11, Pine W wrote:
>
>> Seems like a good summary: http://www.wired.com/2016/05/the-end-of-code/
>>
>> Comments welcome, especially from Wikimedia AI experts who are working on
>> ORES.
>>
>> Pine
>> _______________________________________________
>> Wikitech-l mailing list
>> Wikitech-l(a)lists.wikimedia.org
>> https://lists.wikimedia.org/mailman/listinfo/wikitech-l
>>
>
> _______________________________________________
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>
Hey,
Here is the weekly update for the Revision Scoring project for the week of
May 9th through May 15th.
*New developments:*
- We do have a dedicated help page on how to request that we add support
for new languages[1]
- We deployed new version of revscoring and ORES, The biggest
improvement is speed. Improvments may vary in different wikis but for
English Wikipedia is about 20% [2]
- We are pre-generating list of bad words for different langauges. [3]
- shinken and icinga now report outages and recovery on #wikimedia-ai --
our main work channel[4]
*Maintenance and robustness:*
- Soon, Your unlabeled edits in Wikilabels will be made available to
others after 24 hours. [5]
- We improved logging of scoring errors in ORES [6]
1. https://phabricator.wikimedia.org/T135179
2. https://phabricator.wikimedia.org/T135381
3. https://phabricator.wikimedia.org/T134629
4. https://phabricator.wikimedia.org/T134726
5. https://phabricator.wikimedia.org/T134619
6. https://phabricator.wikimedia.org/T135399