Charbel-Raphaël Segerie and Épiphanie Gédéon contributed equally to this post.
Many thanks to Davidad, Gabriel Alfour, Jérémy Andréoletti, Lucie Philippon, Vladimir Ivanov, Alexandre Variengien, Angélina Gentaz, Léo Dana and Diego Dorn for useful feedback.

TLDR: We present a new method for a safer-by design AI development. We think using plainly coded AIs may be feasible in the near future and may be safe. We also present a prototype and research ideas.

Epistemic status: Armchair reasoning style. We think the method we are proposing is interesting and could yield very positive outcomes (even though it is still speculative), but we are less sure about which safety policy would use it in the long run.

Current AIs are developed through deep learning: the AI tries something, gets it wrong, then gets backpropagated and all its weight adjusted. Then it tries again, wrong again, backpropagation again, and weights get adjusted again. [...]

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Outline:

(02:16) Overview

(05:48) Would it be feasible?

(05:51) Track record of automated systems

(08:26) Track records of humans

(10:04) The Crux

(12:50) Would it be safe?

(13:07) Setting for safety

(16:04) Possible concerns

(17:50) Compared to other plans

(19:25) Getting out of the chair

(21:27) Constructing an ontology

(22:25) Segmenting the images

(22:36) Flowers

(25:41) Conclusion

The original text contained 6 footnotes which were omitted from this narration.

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First published:
April 27th, 2024

Source:
https://www.lesswrong.com/posts/y9tnz27oLmtLxcrEF/constructability-plainly-coded-agis-may-be-feasible-in-the

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Narrated by TYPE III AUDIO.

“Constructability: Plainly-coded AGIs may be feasible in the near future” by Épiphanie Gédéon, Charbel-Raphaël

LessWrong (30+ Karma)

“Constructability: Plainly-coded AGIs may be feasible in the near future” by Épiphanie Gédéon, Charbel-Raphaël