Notices by knotteye (knotteye@waldn.net), page 2
-
knotteye (knotteye@waldn.net)'s status on Monday, 29-Mar-2021 01:22:11 JST 
knotteye
@nik Being that high. -
knotteye (knotteye@waldn.net)'s status on Tuesday, 09-Feb-2021 08:54:41 JST
knotteye
@georgia SNFs are notoriously incompetent and greedy, covid precautions are just an excuse. They're probably the same all the time. -
knotteye (knotteye@waldn.net)'s status on Tuesday, 09-Feb-2021 08:54:40 JST
knotteye
@georgia Culturally, it gets overlooked because it's a convenient place for us to not have to think about the old and infirm. America needs to fix the way it treats its old people in general, it's super fucked.Also they're profitable as fuck. -
knotteye (knotteye@waldn.net)'s status on Wednesday, 09-Dec-2020 00:59:32 JST
knotteye
@georgia @Moon But there are perfectly legitimate reasons for stressing the importance of an under-represented dataset to a training model, you can't just assume that something is good because it's the majority. The very next paragraph points out a good reason for doing so.>It will also fail to capture the language and the norms of countries and peoples that have less access to the internet and thus a smaller linguistic footprint online. The result is that AI-generated language will be homogenized, reflecting the practices of the richest countries and communities.And later on, an example of AI being deficient in under-represented languages causing problems:>The dangers are obvious: AI models could be used to generate misinformation about an election or the covid-19 pandemic, for instance. They can also go wrong inadvertently when used for machine translation. The researchers bring up an example: In 2017, Facebook mistranslated a Palestinian man’s post, which said “good morning” in Arabic, as “attack them” in Hebrew, leading to his arrest. -
knotteye (knotteye@waldn.net)'s status on Wednesday, 09-Dec-2020 00:59:30 JST
knotteye
@georgia @Moon The AI’s ‘fluency’ in the kind of language used by MeToo and BLM activists is the same thing as under-represented language to the model though. It’s a small subset of the data that can either be emphasized or ignored. Training the model involves making decisions about what sets of data are allowed to matter already, unless you’re fine with feeding the thing poisoned data (which involves determining who is poisoning it and who is acting normally) and spam.
There’s no neutral position here (except for the one that perfectly matches my views, of course), just positions people have convinced themselves are neutral. Everyone training an AI makes decisions about what kinds of data get to matter to that AI. It’s better to be honest about that.
-
knotteye (knotteye@waldn.net)'s status on Wednesday, 09-Dec-2020 00:59:28 JST
knotteye
@Moon @georgia Thank you! I'm very interested in both AI and ethics so I really like talking about it. -
knotteye (knotteye@waldn.net)'s status on Wednesday, 07-Oct-2020 06:49:55 JST
knotteye
@lain Weird country to target for lawn eradication. America has swathes of excess land, a few bits of grass in cities don't count for much.
All senooken JP Social content and data are available under the