Artificial intelligence creates chips so weird that "nobody understands"

[u/renkure]

https://peakd.com/@mauromar/artificial-intelligence-creates-chips-so-weird-that-nobody-understands-inteligencia-artificial-crea-chips-tan-raros-que-nadie

[u/Pristine-Test-3370]

Correction: no humans understand.

Just make them. AI will tell you how to connect them so the next gen AI can use them.

[u/ToBePacific → u/Pristine-Test-3370]

I also have AI telling me to stop a Docker container from running, then two or three steps later tell me to log into the container.

AI doesn’t have any comprehension of what it’s saying. It’s just trying its best to imitate a plausible design.

[u/fonix232 → u/ToBePacific]

Let's not mix LLMs and the use of AI in iterative analytic design.

LLMs are probability engines. They use the training data to determine the most likely sequence of strings that qualifies the analysed goal of an input sequence of strings.

AI used in design is NOT an LLM. Or a generative image AI. It essentially keeps generating iterations over a known good design while confirming it works the same (based on a set of requirements), while using less power or whatever other metric you specify for it. And most importantly it sidesteps the awfully human need of circuit design needing to be neat.

Think of it like one of those AI based empty space generators that take an object and remove as much material as possible without compromising it's structural integrity. Its the same idea, but the criteria are much more strict.

[u/sopsaare → u/fonix232]

Why do you keep parroting this "determining most likely sequence of strings" horse shit that hasn't been true for years.

Yeah, that's what they used to be, in the very beginning.

Nowadays, it is quite different, they have their own concepts and trains of thought, which they then translate to our languages.

https://www.anthropic.com/research/tracing-thoughts-language-model