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Dries Smit

Published podcast speaker

Claims
10
Episodes
1
Shows
1
Named items
0

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What Dries said.

3 transcript-backed records

01 / belief

For example, you have this reasoning tokens which has like abstract representation of objects, which we then manifest or write down in like an English language textual tokens. So I would say that's more abstract, you identify objects, you try and find out what the mechanics is, dynamics of the game, what the goal is.

“For example, you have this reasoning tokens which has like abstract representation of objects, which we then manifest or write down in like an English language textual tokens. So I would say that's more abstract, you identify objects, you try and find out what the mechanics is, dynamics of the game, what the goal is.”
Speaker
Dries Smit
Publisher
Machine Learning Street Talk

02 / belief

I think the 1st 4 places was basically brute force algorithms that just search over a large space of actions but do some basic form of filtering and you can get a very good score.

“I think the 1st 4 places was basically brute force algorithms that just search over a large space of actions but do some basic form of filtering and you can get a very good score.”
Speaker
Dries Smit
Publisher
Machine Learning Street Talk

03 / belief

I think we have a clear benchmark, which we know humans, which is general in some sub domain, which we can say whatever that domain is can score that score and that is the medium score.

“I think we have a clear benchmark, which we know humans, which is general in some sub domain, which we can say whatever that domain is can score that score and that is the medium score.”
Speaker
Dries Smit
Publisher
Machine Learning Street Talk
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