Path: ...!weretis.net!feeder8.news.weretis.net!feeder1-2.proxad.net!proxad.net!feeder1-1.proxad.net!cleanfeed4-a.proxad.net!nnrp5-1.free.fr!not-for-mail
Newsgroups: comp.os.linux.advocacy
From: =?UTF-8?Q?St=C3=A9phane?= CARPENTIER <sc@fiat-linux.fr>
Subject: Re: A Godfather of AI Just Won a Nobel. He Has Been Warning the
 Machines Could Take Over the World.
References: <n3djgjhqqqf3hh9o0ua7lirdt8pel916uc@4ax.com>
 <547d7042-b50e-d5fd-51f6-e6aff7bbac7e@ichigo.kinoko.kuri>
 <slrnvgkr5p.j02.rotflol2@geidiprime.bvh>
 <e11b49e7-801f-8988-6d09-c1701268ff62@ichigo.kinoko.kuri>
 <slrnvgpr80.mr5.rotflol2@geidiprime.bvh> <vek7s3$1cf26$1@dont-email.me>
 <RniPO.55917$vtH3.13939@fx07.iad> <vel2mo$1k0kk$1@dont-email.me>
 <cOtPO.213884$1m96.102822@fx15.iad> <veo8gp$282p1$3@dont-email.me>
 <cLOPO.380388$FzW1.308377@fx14.iad> <veqatt$2levu$2@dont-email.me>
 <VQ7QO.226118$1m96.76357@fx15.iad> <ver3u3$2opnq$1@dont-email.me>
 <WV8QO.382401$FzW1.75425@fx14.iad> <verb10$2opnq$4@dont-email.me>
 <6712b6f2$0$29713$426a74cc@news.free.fr> <lngjuuFs9nrU5@mid.individual.net>
Organization: Mulots' Killer
User-Agent: slrn/pre1.0.4-9 (Linux)
Mime-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 8bit
Date: 19 Oct 2024 07:58:46 GMT
Lines: 15
Message-ID: <671366b6$0$28063$426a74cc@news.free.fr>
NNTP-Posting-Date: 19 Oct 2024 09:58:46 CEST
NNTP-Posting-Host: 78.201.248.7
X-Trace: 1729324726 news-2.free.fr 28063 78.201.248.7:48662
X-Complaints-To: abuse@proxad.net
Bytes: 2228

Le 19-10-2024, rbowman <bowman@montana.com> a écrit :
>
> I'd mentioned in another post that image recognition requires a huge 
> amount of labeled images for training. Nothing like outsourcing it to 
> Africa. I wonder if an Kenyan princes were able to exploit the data?

The purpose is not for the Kenyan princes to exploit the data, but as
you said, it "requires a huge amount of labeled images". So to label
images, it needs people. It doesn't need very expensive educated people,
it only requires people. So, the less expensive the guys, the better.
That's why they do it in Africa.

-- 
Si vous avez du temps à perdre :
https://scarpet42.gitlab.io