Re:Tempering Expectations for GPT-3 and OpenAI’s API
by ZephyrBlu on Sunday July 19, 2020 @09:26PM
(#23893872)
>While it is still an advancement in NLP, I'm more interested in getting a super accurate or generative AI system to explain itself than one that cannot
Why? People can explain ourselves because we rationalize our actions, not necessarily because we know why we did something. I don't understand why we hold AI to such a high standard.
Re:Tempering Expectations for GPT-3 and OpenAI’s API
by MiroF on Sunday July 19, 2020 @09:45PM
(#23893970)
there seems to be an overabundance of negative sentiment towards deep learning among hn commentators, but whenever i hear the reasons behind the pessimism i'm usually unimpressed.
Re:Tempering Expectations for GPT-3 and OpenAI’s API
by LoSboccacc on Monday July 20, 2020 @04:55AM
(#23896013)
for the same reason why we have psychiatrist, for when the AI does a mistake, you need to fix it, work around it, prevent it or if all else fail to protect others from it.
it's all fun and games when AI do trivia. when AI get plugged into places that can result in tangible real world consequences (i.e. airport screening) you need to be able to reason about the system so it gets monotonically better over time.
Do you why AlphaGo decided to perform move 37 in Game 2 with Lee Sedol? Can AlphaGo explain itself as to why it did that move?
If we don't know why it made that decision, then it is a mysterious black-box hiding it's decisions and taking in an input to produce and output, which is still a problem. This isn't useful to researchers in understanding decisions of these AI systems, especially for AGI. Hence, this problem also applies to GPT-3.
While it is still an advancement in NLP, I'm more interested in getting a super accurate or generative AI system to explain itself than one that cannot.