Earlier quoted context omitted.
Funny, yet terrifying at the same time. How can I be sure that HN isn't just a really well trained Neural Net?
How can I be sure that i'm not just a really well trained Neural Net?
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#12Giggles Love it.
Funny, yet terrifying at the same time. How can I be sure that HN isn't just a really well trained Neural Net?
I’ll have to look and see if there’s an archive of them available.
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#13Fascinating. I wonder if our current discussion boards on the interwebs can survive the coming influx of content like this and the next generations of it that follow. There are a lot of SO questions posted by very weak non-native speakers of English and some of these are hard to distinguish from those. Kind of scary! What possible positive outcomes do you see for this kind of (admittedly inevitable) capability?
I hope that the good will outweigh the bad. I’d love to create an answer generator, for example.
Once enough questions are generated I’m going to try creating a classifier to see if a neural net can differentiate between real questions and fake ones.
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#16thispersondoesnotexist.com thisresumedoesnotexist.com
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#17This is similar to thispersondoesnotexist.com thisresumedoesnotexist.com
I actually hadn't seen thisresumedoesnotexist.com yet; but I loved https://thiscatdoesnotexist.com and https://thisrentaldoesnotexist.com
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#18Every good invention can be terrifying if it falls in the hands of bad guys (Nuclear technology for example). It's true for AI also. I am sure bad guys must be training similar AI agents by only feeding fake news, conspiracy theories etc. and it's easy to build AI agents as there is so much Open Source material online about AI.
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#19Health information would be the main case I can think of now.
Having synthesized data for testing new services in govt would be a huge improvement.
De-identification is basically impossible and there are a bunch of companies who will lie to you if you pay them to, but synthesized data covers many use cases for de-identification and for homomorphic encryption.