Clearly, language reflects enough of "intelligence" for an LLM to be able to learn a lot of what "intelligence" does just by staring at a lot of language data really really hard.
Language doesn't capture all of human intelligence - and some of the notable deficiencies of LLMs originate from that. But to say that LLMs are entirely language-bound is shortsighted at best.
Most modern high end LLMs are hybrids that operate on non-language modalities, and there's plenty of R&D on using LLMs to consume, produce and operate on non-language data - i.e. Gemini Robotics.
Language doesn't capture all of human intelligence - and some of the notable deficiencies of LLMs originate from that. But to say that LLMs are entirely language-bound is shortsighted at best.
Most modern high end LLMs are hybrids that operate on non-language modalities, and there's plenty of R&D on using LLMs to consume, produce and operate on non-language data - i.e. Gemini Robotics.