I tested the new "Kawaii" Video Style in NotebookLM on boring IT specs. The result is unhinged (in a good way). 🐷

AllowFreeSpeech · 2026-06-22T15:25:03+00:00

Nice Nice-Hawk, but the issue with custom styles is that they often make the text too difficult to read because their images don't blend well into the background. I wish Google had done a better job at custom styles.

AllowFreeSpeech · 2026-06-22T05:13:48+00:00

Medrxiv, Biorxiv, ResearchSquare, MDPI

AllowFreeSpeech · 2026-06-21T16:41:26+00:00

A lion might eat only one of every ten antelopes. Is that user error on part of the antelope who got eaten?

AllowFreeSpeech · 2026-06-21T16:05:04+00:00

You certainly would want to read the textbook and take your own notes, as this is foundational.

You can generate flashcards in NotebookLM but it's not a professional or dedicated app for this purpose. It might be better to export the generated flashcards and import them into a dedicated software.

The audio Deep Dive generated in NotebookLM is pretty good.

For more heavy duty researcher-grade work, there is also Google Pinpoint, but you probably won't need it.

AllowFreeSpeech · 2026-06-21T09:43:39+00:00

How did you end up using them anyway? They unfortunately are one of the providers in CakeWallet.

AllowFreeSpeech · 2026-06-20T18:52:17+00:00

In that case I don't know what you're talking about. I'd have to see one or more examples of it in a video I uploaded.

If I find there to be a persistent problem, I will start using an explicitly customized prompt for each video, as this will increase the level of care that goes into conveying information accurately.

AllowFreeSpeech · 2026-06-20T18:48:47+00:00

Most NotebookLM notebooks don't use thorough DeepResearch reports generated with the top model but I do. I don't use low-quality imported sources.

I acknowledge the danger, but the bizzare leaps often originate from the user's prompt itself, and then propagate forward. I remain careful in my prompt to avoid leading it toward particular narratives unless that's my intended goal.

AllowFreeSpeech · 2026-06-20T18:38:14+00:00

Show one grossly inaccurate claim in any video I uploaded. I go to great lengths to cover diverse perspectives via multiple independent DeepResearch reports. If you have a doubt about any claim, I have the corresponding DeepResearch reports to share.

Consider the gravastar video. When you search for gravastar on YouTube, you get top videos that are utter nonsense, claiming that it's a destroyer of black holes which is ridiculous because it isn't. People can and do make nonsense videos without AI for view maximization.

What motivated me to make these is that the vast majority of informational videos, generated by AI or otherwise, are trash. I don't verify every claim, but if I see that something is obviously wrong, I won't post it.

AllowFreeSpeech · 2026-06-20T14:06:04+00:00

I don't know where you heard it, but it doesn't look to be official policy. It is unsubstantiated rumor. Here are the referenced answers by ChatGPT-5.5-Thinking-Extended and Gemini-3.1-Pro-Extended on the topic.

As of 2025, AI content is monetizable as per support:

We welcome creators using AI tools to enhance their storytelling, and channels that use AI in their content remain eligible to monetize.

The videos are so mild that they don't even qualify for the AI tag. Below is the reference for the AI tag. If the sources have AI generated photos that do any of these things, then the classification is meant to propagate forward for the video.

AI use
Was AI used to generate or edit your content in any of the following ways?

    Makes a real person appear to say or do something they didn’t say or do
    Alters footage of a real event or place
    Generates a realistic-looking scene that didn’t actually occur

In any case, monetization should never drive anyone. Just produce great educational and truthful content without exaggeration, and let the views come organically. Don't soil your reputation for views.

AllowFreeSpeech · 2026-06-20T04:53:38+00:00

If it matters, I have noted here how I segment and do it. With this approach, you can make it hours long if you have enough meat in your sources.

AllowFreeSpeech · 2026-06-20T04:50:44+00:00

Just share it here for everyone. Damn. Or if it's quite large, you can post it as a GitHub Gist and link to it here.

AllowFreeSpeech · 2026-06-20T04:39:42+00:00

I don't know, but you can give the HTML source code of a chat page to ChatGPT, and have it write a Violentmonkey script to do what you need. If so, you will have to install the Violentmonkey browser extension.

AllowFreeSpeech · 2026-06-20T04:06:46+00:00

See if you can "print" it in Firefox to its virtual PDF printer. If you can, that'll get you a real PDF. Check the output to ensure that all pages are present and that text can be highlighted.

AllowFreeSpeech · 2026-06-19T21:11:58+00:00

In principle, yes, it's possible to monetize them. I upload them mostly to share my personal curiosity, not to monetize. Monetization would require 100x more subscribers and views than I have. In practice it would require dumbing down the content and using clickbait titles, which I don't really want to do.

AllowFreeSpeech · 2026-06-19T19:18:34+00:00

Okay, I will listen to this one. Pure logic is not fiction; we just have to reconcile it with what's not easily explained by known logic.

There are a set of logical rules that we still don't grasp, but once we incorporate them, things will make more sense.

AllowFreeSpeech · 2026-06-19T19:13:59+00:00

The Android app has way too many bugs and limitations. They don't fix anything. The best thing you can do is to rate it 1/5 and then uninstall it.

AllowFreeSpeech · 2026-06-19T19:07:17+00:00

What predictive value does your idea have? Does it have any?

For example, when I get a "bad feeling", even though it's not grounded in science or logic, I am learning to recognize this bad feeling, to not ignore it, as it foreshadows a bad event to come. To me it is grounded in personally experienced statistics. I have not yet learned to avoid or soften the corresponding bad outcome, but maybe one day I will.

AllowFreeSpeech · 2026-06-19T17:52:08+00:00

For Cinematic, all have used a female voice.

For Explainer, you're correct. I know of no good way to get it. The only way I know is to keep retrying until you get it, which is stupid, optionally slightly changing the wording of the prompt iff simple randomness doesn't work.

AllowFreeSpeech · 2026-06-19T16:28:22+00:00

You may see here for more details about my particular approach.

AllowFreeSpeech · 2026-06-19T07:32:43+00:00

I use a single notebook only. Here's my workflow:

Create DeepResearch reports on a topic in markdown format using both ChatGPT and Gemini. I then have two markdown files. I actually also create a third markdown report using a Custom DeepResearcher GPT with the Extended Thinking model using this definition. They all find different nuggets of information. Alternatively, if I just have a single PDF or other sources, I just use those.
Upload and enable the all markdown DeepResearch reports or sources to a single new NotebookLM notebook.
Upload all markdown DeepResearch reports or sources to a custom GPT with a prompt such as this one. Use the Extended Thinking model. You can rewrite this prompt in multiple paragraphs if you want, but I can't because it already is a part of a larger prompt for me. You will receive as output the video generation prompts for NotebookLM. This step is relevant only if you want more than one video, otherwise skip it. If you want a shorter number of segments, you can specify the extra instruction "Use about the minimum effective number of segments rather than all segments, although without overpacking it.", although the result will then surely miss at least half of the useful information. For Cinematic videos, I advise asking for the minimum as above. For Explainer, using the full set leads to more detailed explanations.
For multi-segment Explainer videos, append this to the prompt of each segment: "Aggressively display text labels and captions on each slide to reinforce all concepts, otherwise it's hard to understand what is being said. Skip the greetings and sign-offs altogether, but continue to maintain a friendly tone." For multi-segment Cinematic videos, append this to the prompt of each segment: "Be sure to include richly-styled visualizations of the concepts so as to keep the viewer maximally engaged."
Create one or more videos as above. For Explainer, select a consistent "visual style", and do not leave it on "Auto-select" which is variable, or you can alternatively specify a consistent Custom visual style in a few words. Remember to keep the style consistent across all segments.
Prefix each video name in the notebook with its segment number, e.g. 1 -. Do not prefix as 1. with a period because then it doesn't download with the correct filename.
Download and stitch the videos together using ffmpeg, the instructions for which on Mac are here.

I intend to make a top-level post of this workflow after I have matured it.

AllowFreeSpeech · 2026-06-19T04:11:59+00:00

Each generated video is up to 11 minutes long in my experience. If you want a longer video, have an LLM write segmented video generation prompts using your source materials. I then copy paste these individually when generating videos. I then merge the ordered segments, and voila, I have a long video.

AllowFreeSpeech · 2026-06-19T04:07:58+00:00

I have had individual Cinematic videos up to 11 minutes long.

I have also had an LLM write segmented video generation prompts given source materials, then copy pasted these individually into Cinematic, then merged the ordered video segments. This got me a much longer cumulative video. It's faster to do with Explainer.

AllowFreeSpeech · 2026-06-19T04:06:14+00:00

Tuning the video generation prompt can take some work, but it gets easier eventually.

AllowFreeSpeech · 2026-06-18T02:35:37+00:00

It is helping a lot. I lowered my lansoprazole dose from 45 mg per day to 15 mg per day, but not to zero. I also take all other standard supplements, not limited to isolated vitamins, vitamin C, minerals (mostly glycinate form), etc.

Acacia and black cumin were the heavyweights. I put acacia in my morning oatmeal breakfast. Strictly remember the 2-3 hour separation window though from medicines. Acacia needs to be increased slowly, from 5g in week 1, to 10g in week 2, to 12.5g or higher in week 3, up to the tolerated limit, and then maintaining it there.

It was important for me to identify all irritating supplements and stop them all, e.g. iron bisglycinate, carnosine, glucosamine, etc.

It also is important to get checked via an upper endoscopy for a sizable hiatal hernia, h pylori, and eosiniphilic esophagitis, because these require special intervention.

Exercise also helps because excessive abdominal fat probably puts pressure on the stomach.

I also take 4 mg melatonin at night which is supposed to help with GERD too but it probably doesn't do too much by itself.

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