"Announcing the ARC White-Box Estimation Challenge" by Jacob_Hilton
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"Announcing the ARC White-Box Estimation Challenge" by Jacob_Hilton
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Narrated by:
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We are very grateful to Sharada Mohanty, Sneha Nanavati, Dipam Chakraborty and everyone else at AIcrowd for working with us to host this contest, as well as to Paul Rosu for testing the contest and to Harshita Khera for operational support.
Introduction to the Challenge
Our challenge follows the same setup as our recent paper on wide random MLPs: we consider MLPs with weights , defined by
where the activation function is , applied coordinatewise.
To begin with, we are fixing the width and the number of hidden layers , but we expect to change this setup in future rounds.[1]
Contestants must design an algorithm that takes in a set of weights and produces an estimate for the expected output
Algorithms will be evaluated on MLPs with randomly-sampled Gaussian weights. The goal is to achieve as low mean squared error as possible, subject to certain computational [...]
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Outline:
(00:41) Introduction to the Challenge
(01:58) Why run this contest?
(03:39) Use of LLMs
The original text contained 4 footnotes which were omitted from this narration.
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First published:
June 2nd, 2026
Source:
https://www.lesswrong.com/posts/Kben8CzS4awCwNw5c/announcing-the-arc-white-box-estimation-challenge
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Narrated by TYPE III AUDIO.
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