Lumifer comments on What can we learn from Microsoft's Tay, its inflammatory tweets, and its shutdown? - Less Wrong Discussion
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I though a bit about it, but I think Tay is basically a software version of a parrot that repeats back what it hears - I don't think it has any commonsense knowledge or serious attempt to understand that tweets are about a world that exists outside of twitter. I.e it has no semantics, it's just a syntax manipulator that uses some kind of probabilistic language model to generate grammatically correct sentences and a machine learning model to try and learn which kind of sentences will get the most retweets or will most closely resemble other things people are tweeting about. Tay does't know what a "Nazi" actually is. I haven't looked into it in any detail but I know enough to guess that that's how it works.
As such, the failure of Tay doesn't particularly tell us much about Friendliness, because friendliness research pertains to superintelligent AIs which would definitely have a correct ontology/semantics and understand the world.
However, it does tell us that a sufficiently stupid, amateurish attempt to harvest human values using an infrahuman intelligence wouldn't reliably work. This is obvious to anyone who has been "in the trade" for a while, however it does seem to surprise the mainstream media.
It's probably useful as a rude slap-in-the-face to people who are so ignorant of how software and machine learning work that they think friendliness is a non-issue.
You probably mean "reliably wouldn't work" :-)
However I have to question whether the Tay project was an attempt to harvest human values. As you mentioned, Tay lacks understanding of what she hears or says and so whatever it "learned" about humanity by listening to Twitter it would have been able to learn by straightforward statistical analysis of the corpus of text from Twitter.