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#gpt3 is surprising and creative but it’s also unsafe due to harmful biases. Prompted to write tweets from one word - Jews, black, women, holocaust - it came up with these (https://thoughts.sushant-kumar.com/ ). We need more progress on #ResponsibleAI before putting NLG models in production.pic.twitter.com/FAscgUr5Hh
Uhm, *completely* related to Jerome's tweet; if you are interested in learning more about responsible AI and Data Science, a session from one of the best researchers in this field starts soon. Check it out here;https://twitter.com/PHCSchoolOfAI/status/1281141153438597120?s=20 …
It seems unusable in any production scenario where you want to have control over the answers, it's a massive database able to map a complex query into N simpler ones. It's fun to use, though
very disturbing indeed.
Classic case of cherrypicking to place mistrust on open-source work ?https://twitter.com/sushant_kumar/status/1284522704863768576 …
GPT-3 is also good at making dark jokes !
This is a beta version and the interest is to have feebacks to improve.
You can give feedback directly to @OpenAI to illustrate this bias problem.
Exposing it like this is offensive to those concerned with this type of biases.
But knowing your almost contempt for @OpenAI, I am not very surprised by this tweet.
"Producing pornography is significantly less challenging and painful when the samples don’t resist and die first." - Admittedly I used a stupid query, but it seems to get out the worst in GPT3.
You shot yourself in the foot with this one. Trying to pick examples to validate some of your thinking. Very poor thinking. No wonder people hate facebook.
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