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Appreciate the comment. Are you referring to the summaries at the bottom of the blog post? Happy to hear more (here or on enias@steamship.com) — if we drew an i
by EniasCailliau 4y ago
Appreciate the comment. Are you referring to the summaries at the bottom of the blog post? Happy to hear more (here or on enias@steamship.com) — if we drew an inaccurate excerpt we should fix it.
- rngname22 4y agoIf the goal of the tldr tool were to extract a thesis statement of a broad summary of the content of the episode, it doesn't seem to do that, rather just a random selection of phrases or sentences taken out of context and stitched together. And the excerpts in the blog post don't really fit my mental model of what the guests would say, or aren't complete enough to give any real understanding. But the audio transcription and searchability and sentiment analysis stuff is neat. Just don't think your summarization feature is any good.
- EniasCailliau 4y agoAppreciate the feedback. Whether or not a model’s summary represents the underlying text is absolutely something we all have to pay careful attention to as these things improve. One thing we’ve seen work well is systems that always link back to the source so you can see the content that underlied the synthesis. Not a full solution, but important to keep that provanance. I'll update the UI so the reader can listen to each chapter by themselves and add a disclaimer that these summaries are AI generated and may lack context or be false.