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Re:The New York Times Launches a Strong Case Against Microso... by blibble on Sunday January 07, 2024 @12:24PM (#38903080)
> Synthetic knowledge refers to propositions or truths

of which LLMs have no way of determining

-> bullshit

Re:The New York Times Launches a Strong Case Against Microso... by ryanklee on Sunday January 07, 2024 @12:38PM (#38903200)
That is not correct.

You can interrogate an LLM. You can evaluate its responses in the course of interrogation. You can judge whether those responses are coherent internally and congruent with other sources of information. LLMs can also offer sources and citation for RAG operations.

There is no self-sufficient source of truth in this world. Every information agent must contend with the inevitability of its own production of error and excursions into fallibility.

This does not mean those agents are engaging in bullshit whenever they leave the domain of explicit self-verification.

Re:The New York Times Launches a Strong Case Against Microso... by blibble on Sunday January 07, 2024 @12:41PM (#38903246)
I feel like I'm chatting with one here
Re:The New York Times Launches a Strong Case Against Microso... by ryanklee on Sunday January 07, 2024 @12:57PM (#38903387)
Based on what?
Re:The New York Times Launches a Strong Case Against Microso... by Jensson on Sunday January 07, 2024 @08:35PM (#38907247)
> You can interrogate an LLM

No you can't, an LLM doesn't remember what it thought when it wrote what it did before, it just looks at the text and tries to come up with a plausible answer. LLM's doesn't have a persistent mental state, so there is nothing to interrogate.

Interrogating an LLM is like asking a person to explain another's persons reasoning or answer. Sure you will get something plausible sounding from that, but it probably wont be what the person who first wrote it was thinking.

Re:The New York Times Launches a Strong Case Against Microso... by ryanklee on Sunday January 07, 2024 @09:47PM (#38907674)
This is not correct. You can get an LLM to improve reasoning through iteration and interrogation. By changing the content in its context window you can evolve a conversation quite nicely and get elaborated explanations, reversals of opinions, etc.