Switched from bash to plain python scripts for shell stuff everywhere several years ago, and never looked back into bash zoo anymore. Stable syntax across Win/Mac/Linux, no bash/zsh/msys2 obscure differences, normal errors and Clause writes scaffolds quick and flawless anyway

I mean between this two "knowings" the Claude inner workings are much more clear for engineers, including many side effects, alternatives, custom shortcuts in processing etc. It's a magic only for people looking at it as black box

Probably the main problem of people implying LLM consciousness is that they imply LLM have human-kind of consciousness. Judging only on "how they speak", generally, they insist on using the same word that labels human consciousness (exclusively), etc.

But there are so many instrinic differences that such claim is not feasible despite similar "talking abilities".

Math, as a tool, is just a proxy for people using LLMs, as well as GPUs spending cycles on calculating the math

Yep. And LLM engeneers improving this issues see perfect correlation with only one thing - data quality and quantity through training pipeline. LLM internals are secondary on many metrics for improving that

Humanity just reached the point where collective accessible knowledge covers semi-full perturbations of all main concepts that human consiousness ever produced, with additional associative expanding (math handles this). Full perturbations with current communication complexity are written down and recorded one way or another, LLMs just capitalizing on that tipping point, imho

But with LLMs - anyone can simulate LLM. LLM can be simulated without any uncertainties in pen and paper and a lot of time. Does it mean that 100 tons of paper plus 100 years of time (numbers are just examples) calculating long formulae makes this pile of paper consiousness? Imho answer is definitive no.

And the real secret is in the data, not math. Math (and LLMs running it through billions of weights) is just a tool.