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It’s useful for getting summaries of long YouTube videos - I’m found it semi helpful for improving my Davinci Resolve skills. That said Google is screwing the pooch as usual by trying to make it another walled garden. Slap an API on NoteboolLM already! The market research has already been done - there’s even an unofficial API https://www.reddit.com/r/notebooklm/comments/1eti9iz/api_for...
For YouTube videos it's hard to beat (1) copy transcript to clipboard (from eg tactiq) (2) paste into LLM chat and ask for summary
NotebookLM podcasts are like a caricature of a real podcast. Every little verbal technique or narrative style that might be used by a normal podcaster in a subtle way is taken to an extreme. The last one I listened to one host would repeat a keyword or phrase the other host had just said for emphasis — except they did incessantly — with multiple words in every sentence for many sentences in a row.
Do people find NotebookLM useful? For my use case of converting papers into podcasts, the explanations are too general (which misses the important parts of the paper) and contain too much fluff. I suspect that changing the underlying model to Gemini 2.5 Pro would produce better transcripts, but right now there's no way of determining what model is being used.
I can say, "Hey, NotebookLM, explain the difference between feature X and feature Y to me," or, "How do I configure Z to work the way we want?" And while the answers still kinda suck because the documentation is pretty shitty, it's way faster than digging through the PDFs. And it cites the PDFs so I can (with some trouble) find the actual documentation in the PDF if I need it.
The worst part of it is that it only accepts 50 PDFs at once.
Honestly, though, the best use for it I've seen was when my GM added the PDF rulebooks to our TTRPG to NotebookLM. We were then able to ask NotebookLM rules questions, and it would answer us pretty well. That's what it's really great for.
I don't care about the audio features at all. The first thing I do is close the audio pane.
NotebookLM podcasts are like a caricature of a real podcast. Every little verbal technique or narrative style that might be used by a normal podcaster in a subtle way is taken to an extreme. The last one I listened to one host would repeat a keyword or phrase the other host had just said for emphasis — except they did incessantly — with multiple words in every sentence for many sentences in a row.
Although I 100% agree, there is still a place for it. We place generated conversations with our case studies, and have receive good positive feedback so far, especially from the non-technical crowd. See example https://resonancy.io/case-studies/flava-process-digitization Of course one can invest more in better authenticity but for what it is, I believe it is a good bang for effort.. Also, if you listen to it for a wh…
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Yes. In fact, I laughed when I heard the NotebookLM voice say that. It was comically out of place in the context.
Have an audio link and timestamp to this?
https://notebooklm.google.com/notebook/c36ea335-6686-474d-bf...
The fumu fumu is at 01:50.
The podcast is about the impact of AI on higher education in Japan. I prompted NotebookLM briefly in Japanese about the topic, and it collected ten sources in Japanese and English that it used as the basis for the audio overview.
Do people find NotebookLM useful? For my use case of converting papers into podcasts, the explanations are too general (which misses the important parts of the paper) and contain too much fluff. I suspect that changing the underlying model to Gemini 2.5 Pro would produce better transcripts, but right now there's no way of determining what model is being used.
I found this prompt online and tweaking it for audio overviews works extremely well for me. https://open.substack.com/pub/lawsen/p/notebooklm-podcasts-b... Generate a deep technical briefing, not a light podcast overview. Focus on technical accuracy, comprehensive analysis, and extended duration, tailored for an expert listener. The listener has a technical background comparable to a research scientist on an AGI safe…
https://support.google.com/notebooklm/answer/15731776 - Afrikaans - Albanian - Arabic - Armenian - Azerbaijani - Basque - Bengali - Bulgarian - Burmese (Myanmar) - Catalan - Cebuano - Chinese (Simplified) - Chinese (Traditional) - Croatian - Czech - Danish - Dutch - English - Estonian - Filipino - Finnish - French (Canada) - French (European) - Galician - Georgian - German - Greek - Gujarati - Haitian Creole - Hebrew…
> Persian I'm glad the name of my native language is written correctly. In many cases, people say "Farsi", which is offensive to many Iranians because it's the Arabic version of the word "Parsi" (unlike Persian, Arabic doesn't have "p", "g", "ch", "zh"). It's like someone calling English "Anglaise" because that's how the French say it. PS: Contrary to common belief, Persian and Arabic are totally different languages,…
I’m also quite curious about the sounds of “ch” and “zh” which exist in Arabic as ش and ج, or did you mean something else?
NotebookLM podcasts are like a caricature of a real podcast. Every little verbal technique or narrative style that might be used by a normal podcaster in a subtle way is taken to an extreme. The last one I listened to one host would repeat a keyword or phrase the other host had just said for emphasis — except they did incessantly — with multiple words in every sentence for many sentences in a row.
Earlier quoted context omitted.
I found this prompt online and tweaking it for audio overviews works extremely well for me. https://open.substack.com/pub/lawsen/p/notebooklm-podcasts-b... Generate a deep technical briefing, not a light podcast overview. Focus on technical accuracy, comprehensive analysis, and extended duration, tailored for an expert listener. The listener has a technical background comparable to a research scientist on an AGI safe…
Where do you put this prompt?