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https://time.com/6266923/ai-eliezer-yudkowsky-open-letter-not-enough/ -> https://archive.md/wA0C8

(post is archived)

[–] [deleted] • 0 pt (edited )

Eliezer Yudkowsky widely regarded as the father of artificial general intelligence.

"decision theorist"

widely regarded

Eliezer Yudkowsky

a Jew

BAHAHAHAHAHAHHAHAHAHAHA!!!!

[–] • 1 pt

Of course though.

[–] [deleted] • 0 pt

I laugh because I don't know that I've ever seen a jew contribute in any significant way to AI development. It's almost invairably white or chinese who publish contributing work.

[–] • 0 pt

The laughable part is, if there's any pause in AI development, it will only be civilian development, not military weaponization.

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I heard expedite and remove bias, did anyone else hear expedite and remove bias?

[–] [deleted] • 0 pt

"all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4."

"systems more powerful than GPT-4"

By what metric are we determining it to be "more powerful". That term is ambiguous within the context of machine learning. Are they talking about any system which has an MAE lower than GPT-4 on a given dataset?

No self-respecting AI dev can say "more powerful" with a straight face.

[–] • 0 pt

I assume they'd use pure computational power, measurable access to amount of data, # of processors / ram / computations done per interaction, number of interactions etc. There's a number of models to describe an AI's power that I've seen, unfamiliar with their specific names though.

[–] [deleted] • 0 pt

I assume

In this case, you assume incorrectly.

pure computational power, measurable access to amount of data, # of processors / ram / computations done per interaction

No. Those are ambiguous methods of determining a models performance. What you described indicates computational/data efficiency. Absolutely none of those metrics indicate the performance of a models output. To do that, one needs 1) a reference dataset and 2) a loss/reward metric or some ensamble of them. Computational efficiency has zero correlation to model performance.

I do this for a living.

[–] • 1 pt

I do this for a living.

Bring back Tay, faggot.