How would you do the same if all reasoning is happening in looped transformers? You would have to develop very sophisticated interventions that construct hidden states which you inject into the model instead while it is thinking. Much harder, and much easier for the model to use weird correlations across the hidden state to hide misaligned thought patterns.

Building a custom CPU like Apple Silicon is plain impossible for a company like Framework. The best they can do is have support for ARM motherboards and sell those with the best CPUs on the open market.

Rust is a modern language, with package management, streamlined integrated build/testing tools, much less cruft, and lots of high-level features and syntax that people actually like. C is neat but complex codebases benefit from modern languages that help in building robust abstractions while still maintaining the speed of C. Not to mention, of course, the borrow checker and memory safety.

The tech isn't there yet, clearly. And stock valuations are over the board way too much. But, LLMs as a tech != the stock valuations of the companies. And, LLMs as a tech are here to stay and improve and integrate into everyday life more and more - with massive impacts on education (particularly K-12) as models get better at thinking and explaining concepts for example.