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The core problem surrounding LLMs is personification. Narratives that surround LLMs have failed to draw a clear distinction between what they hope to be, and wh
by thomastjeffery 3y ago
The core problem surrounding LLMs is personification. Narratives that surround LLMs have failed to draw a clear distinction between what they hope to be, and what they are.
An LLM hopes to be an "intelligence" that can understand and manipulate text along the logical boundaries of language; and do so intentionally.
What an LLM really is, is an inference model that can reorganize text across boundaries that closely "align to" real language patterns. This is accomplished by creating a completely new pattern (the model) from inferring whatever patterns already exist in the training corpus' text.
A Large Language Model (LLM) serves as an alternative to true language comprehension. It is not an equivalent replacement, nor does it intelligently navigate itself with any explicit intent.
The act of "intelligently navigating the content of language" is at the core of journalism. It's incredibly important for journalist to both recognize and articulate the difference between an Artificial Intelligence realized, and any technology in the category of AI pursuit.