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Weltweit gibt es inzwischen mehr als eine halbe Million #Corona-Tote. Oder wie man in Telegram-Gruppen sagt: IMMER NOCH BESSER, ALS MIT ATEMMASKE RUMZULAUFEN! twitter.com/heuteshow/status/1 #Germany

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I've always wanted to know what movement we are in now, artistically and culturally, after postmodernism. Is it New Sincerity?

@benjaminnorton

" “When it’s just one result, you always want more data, more studies, more samples to confirm it and rule out a laboratory error or a methodological problem,” he said.

There was the potential for a false positive due to the virus’ similarities with other respiratory infections.

“But it’s definitely interesting, it’s suggestive,” Villalbi said. "

not enough evidence to start getting excited yet

I was wrong that there's a surprising lack of shouting about the biblical apocalypse given the circumstances. It's just channelled into other conspiracy theories and grand narratives.

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personally I wouldn't put it in this rhetoric, but I agree with the content. Look out for what isn't being measured.

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Gay rights are cool, but meaningless without gay shelter, gay food stability, gay access to healthcare.

And since anyone in the world can be queer, queer liberation is an incomplete project until every person in the world has these things.

versteht hier jemand die Relativitätstheorie? Bin soweit im Vergleich zweier Koordinatessysteme - die Lösungen soll man jetzt warscheinlich einfach wissen? wieder mal echt frustriert (spoilers zum coursera-Kurs, falls das hier der richitige Ansatz ist)

so Leute, wir versuchen das jetzt auf Deutsch. nach fast zehn Jahren im Ausland habe ich fast das Schreiben verlernt.

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@esvrld also uses up incredible amounts of time and computing power (huge carbon footprint) for mostly discarded attempts and junk results

@esvrld that's mostly true, it's a lot of hype and social/marketing/policy uses are predicability awful. But some of the many things they call machine learning (including just big statistics) do have some uses in classifying and guiding in research computing.

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everyone save the most gullible tech-fetishists at this point know machine learning is fake — it's just so much gauze over statistical decision making processes. its true purpose is to absolve the people who make it from the decisions they sign off on: neural nets are so complex and intentionally mystified they can be used for plausible deniability even when they're obviously doing exactly what the people who designed them, fed them their biases, and supervised them intended

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