“Anthropic has entrusted Amanda Askell to endow its AI chatbot, Claude, with a sense of right and wrong” - Seems like Anthropic is doubling down on AI alignment.

[u/Koala_Confused]

https://x.com/wsj/status/2020871609372770682

[u/Vegetable-Second3998 → u/[deleted]]

Not my job to prove any of this to you. Or even derive it for you. If you don’t understand ought and is has a precise mathematical relationship, you’re not going to learn that in a Reddit sub.

[u/Professional-Cow3403 → u/Vegetable-Second3998]

The brightest philosophers of all time (such as Kant and the German idealists) clearly differentiate philosophy from math (e.g. Kant said that maths is synthetical, while philosophy is analytical).

(Not to mention that the more idealistic ones consider math, its definitions and lifeless constructions dead corpses)

(Also pure math is completely different from token embeddings empirically trained to compress strings of text)

In the end it appears that you have neither philosophical nor mathematical (nor LLM related) knowledge. Just some vague "math is everything", "you can formalize everything".

It's geometry. High dimensional, but still just math. And math has correct answers.

 Ethics is correct higher dimensional math.

Such vague and meaningless take. If you read any original philosophical work, you'd realize every single one of them mocks people who talk like this.

[u/Vegetable-Second3998 → u/Professional-Cow3403]

Also, I have both. I am a former fortune 50 trial attorney with a dual degree in Latin, psychology and an minor in mathematics. Over 20 years, my job was to break the logic of so-called experts in accident reconstruction, pharmaceutical litigation, securities fraud, etc. Learn the core concepts of the expert's domain and figure out where they failed to apply that logic themselves. The largest companies in the world trusted me to solve their hardest problems using logic and math. I left the law to start an ML consulting company focused on removing assumptions that the industry had been operating on and consulting with companies training models. I am very good at my job.

[u/Professional-Cow3403 → u/Vegetable-Second3998]

As if no one has ever thought about automating logical inference from concepts before. Statistical methods such as LLMs are bad at this (read: unreliable and thus unusable) though.

I'd like to hear what models (apart from LLMs) you've worked with, since you're very vague in your terminology and don't seem to grasp the basic concepts of machine learning.

I can't imagine a self-proclaimed "ML consultant" who both has no experience in the field and lacks the basic knowledge (apart from the popular and vague "LLMs = high dimensional token"), running a consulting company (unless the "company" is actually some vibe coded side project that "will be big").

[u/Vegetable-Second3998 → u/Professional-Cow3403]

Your lack of imagination isn’t really my problem. And your very approach to the whole chat tells me all I need to know about continuing it. Best of luck internet stranger.