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sillyfluke 6 hours ago

I'm curious when we started conflating transcription and summarization when discussing this LLM mess, or maybe I'm confused about the output simonw is quoting as "the transcript" which starts off not with the actual transcript but with a Meeting Outline and Summarization sections?

LLM summarization is utterly useless when you want 100% accuracy on the final binding decisions on things like council meeting decisions. My experience has been that LLMs cannot be trusted to follow convulted discussions, including revisting earlier agenda items later in the meeting etc.

With transcriptions, the catastrophic risk is far less since I'm doing the summarizing from a transcript myself. But in that case, for an auto-generated transcript, I'll take correct timestamps with gibberish sounding sentences over incorrect timestamps with "convincing" sounding but halluncinated sentences any day.

Any LLM summarization of a sufficiently important meeting requires second-by-second human verification of the audio recording. I have yet to see this convincingly refuted (ie, an LLM model that maintains 100% accuracy on summarizing meeting decisions consistently).

Royce-CMR 5 hours ago | parent | next [-]

This is a high area of focus for me and I agree: following a complex convo, especially when it gets picked up again 20-30 min later, is difficult.

But not impossible. I’ve had success with prompts that ID all topics and then map all conversation tied to each topic (each seperate LLM queries) and then pulling together summary and conclusions by topic.

I’ve also had success with one shot prompts - especially with the right context on the event and phrasing shared. But honestly I end up spending about 5-10 min reviewing and cleaning up the output before solid.

But that’s worlds better than attending the event, and then manually pulling together notes from your fast in flight shorthand.

(Former BA, ran JADs etc, lived and died by accuracy and right color / expression / context in notes)

simonw 6 hours ago | parent | prev [-]

That's why I shared these results. Understanding the difference between LLM summarization and exact transcriptions is really important for this kind of activity.