LessWrong 2.0 Reader

I'm against intuitive terminology [epistemic status: 60%] because it creates the illusion of transparency; opaque terms make it clear you're missing something, but if you already have an intuitive definition that differs from the author's it's easy to substitute yours in without realizing you've misunderstood.

I'm not alexithymic; I directly experience my emotions and have, additionally, introspective access to my preferences. However, some things manifest directly as preferences which I have been shocked to realize in my old age, were in fact emotions all along. (In rare cases these are stronger than the ones directly-felt even, despite reliably seeming on initial inspection to be simply neutral metadata).

That's right. We initially thought it might be important so that the LLM "understood" the task better, but it didn't matter much in the end. The main hyperparameters for our experiments are in train_ray.py, where you can see that we use a "token_loss_weight" of 0.

(Feel free to ask more questions!)

What makes you believe that Substack is to blame and not him unpublishing it?

Self-playing Adversarial Language Game Enhances LLM Reasoning

https://arxiv.org/abs/2404.10642

He explicitly says that the people who argue that there's no gap are mistaken to argue that. He argues for the gap being small, not nonexistent. He does not use the term "near zero" himself. 

LLMs now can also self-play in adversarial word games and it increases their performance https://arxiv.org/abs/2404.10642 

"Or", in casual conversation, is typically interpreted and meant as being, implicitly, exclusive (this is whence the 'and/or' construction). It's not how "or" is used in formal logic that they would misunderstand, but rather, whether you meant it in the formal-logic sense.

Noted, thanks.

American Philosophical Association (APA) announces two $10,000 AI2050 Prizes for philosophical work related to AI, with June 23, 2024 deadline: https://dailynous.com/2024/04/25/apa-creates-new-prizes-for-philosophical-research-on-ai/

https://www.apaonline.org/page/ai2050

https://ai2050.schmidtsciences.org/hard-problems/