Words Are a Byproduct of Consciousness. For LLMs, It's Backwards
ranpara.net
June 30, 2026
5 min read
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49/100
Summary
Human communication begins with an idea or thought, with words serving as a means to express that underlying consciousness. In contrast, large language models (LLMs) generate words first, with the underlying idea or consciousness being a secondary consideration.
Key Takeaways
- Language models (LLMs) generate words based on preceding words, with no underlying concepts, making their process fundamentally different from human thought, where ideas precede words.
- The development of LLMs marks a significant inflection point in technology, similar to historical advancements like the printing press and the internet.
- LLMs are currently resource-intensive but are expected to become more efficient in a shorter timeframe than previous technological advancements, potentially transforming accessibility to knowledge.
- The emergence of LLMs enables widespread creativity and innovation, allowing anyone to build and share ideas easily.
Community Sentiment
Positives
- LLMs are capable of more than just word modeling; they create internal representations that allow for multimodal applications, indicating a deeper understanding of context.
- The ability of LLMs to share internal layers across modalities suggests a significant advancement in AI's capacity to process and integrate diverse types of information.
Concerns
- The assertion that consciousness is merely a byproduct of language raises concerns about the fundamental understanding of both AI and human cognition.
- Critics argue that LLMs lack true understanding, as evidenced by the Chinese Room argument, which questions the depth of their internal representations.
