Yoshua Bengio
speaker
2,216 appearances
5 recordings
5 series
first heard Oct 2018
last heard 7 May
Yoshua Bengio’s voice in public audio — every appearance, attributed to the second.
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Appearances
But also the theoretical evidence that has been developed over more than a decade in AI safety about the fundamental reasons why, for example, if you do reinforcement learning, you're going to get reward hacking.
I think a lot of people like machine learning researchers simply haven't even taken the time to read those papers.
And so it's easy to dismiss as, ah, these people must be like biased by science fiction or whatever it is.
And when you actually look at the theory and the experiments that are in front of us, it's much harder for a scientist to deny that.
So I would encourage a kind of,
openness of mind to take the time to read through the evidence before committing to a view.
That would be the scientific thing to do.
Unfortunately, there's a bad polarizing effect here.
Once a person commits to a view, it's going to be fine.
For psychological reasons, it's very difficult to back from that, right?
Because you wanna feel good about the things you said in the past.
So it's difficult to like say, oh, I changed my mind.
I made a mistake.
But this is the right thing to do from an epistemic, scientific point of view.
If scientists didn't accept that they could have made mistakes in their theories, interpretations, and so on, then we wouldn't have progress.
We wouldn't have scientific progress.
It is when people are willing to question their own beliefs and look at the evidence that we can make progress.
So there are many such experiments.
This is just one, and it's been done in many companies, including outside the labs by independent organizations.
So there's a real phenomenon.
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