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Machine Learning Street Talk / episode intelligence

The Fractured Entangled Representation Hypothesis (Intro)

5 Jul 2025 6 published claims 4 attributable people

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prediction 2evaluation 2belief 1preference 1

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6 published records

02 / prediction

It's a divergent, unpredictable, open ended search into the unknown. It's possible that the most important discoveries that we will eventually make will be the ones we aren't even looking for now.

“It's a divergent, unpredictable, open ended search into the unknown. It's possible that the most important discoveries that we will eventually make will be the ones we aren't even looking for now.”
Speaker
Tim Scarfe
Publisher
Machine Learning Street Talk

03 / prediction

If you have an algorithm that's trying to follow a gradient by matching closer and closer and closer to the objective, getting a higher and higher score, you're going to get stuck in a dead end because of deception, because the things that lead to the thing you want actually don't look like the thing you want.

“If you have an algorithm that's trying to follow a gradient by matching closer and closer and closer to the objective, getting a higher and higher score, you're going to get stuck in a dead end because of deception, because the things that lead to the thing you want actually don't look like the thing you want.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

04 / evaluation

Like, what are you objecting to? But they but the point is that it can still be an impostor because it's like, what we care about here is not just that it's going to get answers right, like, good test scores, like, seem to be plausibly human when you talk about things that are in distribution.

“Like, what are you objecting to? But they but the point is that it can still be an impostor because it's like, what we care about here is not just that it's going to get answers right, like, good test scores, like, seem to be plausibly human when you talk about things that are in distribution.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk

06 / evaluation

The thing that I think makes this really intriguing is that it gives you something that otherwise could never exist, which is a counterexample that there actually do exist networks that don't have that issue.

“The thing that I think makes this really intriguing is that it gives you something that otherwise could never exist, which is a counterexample that there actually do exist networks that don't have that issue.”
Speaker
Kenneth Stanley
Publisher
Machine Learning Street Talk
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