Any people with insight on why this happens? From my corporate experience this generally happens when two teams are working on a similar thing, they complain about turf to leadership, and leadership either makes them consolidate efforts or chooses a winner. Is that what happens at Google a lot? Or do they just constantly tweak things to the point they cease to live or be used?
I wondered when the name change was coming as NotebookLM felt a bit out of place brand-wise. Still would have been killer if they called it "Bard Notebook"
I fear the upcoming changes... It ALWAYS starts with a name change, then more useless features, more ensh*ttification, then users flee, then the product is killed.
I feel like the name reflect the product more. I have been using NotebookLM for studying and really like it. I wonder if with this name change, would there be a major change in Gemini Notebook ?
I admonish Gemini and demand explanation nearly every day of how it's possible that Google invented the thing, has the best infrastructure for inference, and somehow falls behind Anthropic and even OpenAI.
NotebookLM is pretty cool since it can hold a ton of context but this is so far below my (and frankly just reasonable) expectations of Google.
I downgraded my Gemini subscription and got Claude. Still can't believe how much better it is. Fable is way better, that's a given. But Claude even has a real .deb repo. Something Antigravity had and managed to lose.
I share your sentiment. I'm still paying for Gemini but it's almost useless to me. Google has some serious internal problems. Perhaps Gemini is merely being plagued by aggressive cost controls, or perhaps there are deeper flaws in Google’s approach. Either way, I can't trust NotebookLM with serious work and have stopped using it.
Apple is placing a major bet on Google and Gemini for iOS 27. If Gemini's decline is any indication of what's to come, Apple could be in serious trouble in six month's time.
I suspect it is part leadership change (sundar/kurain) and over indexing on Ai for doing the job on top of a model that is just not as good (esp flash 3.5). Google Cloud / Gemini Enterprise sent me the greatest Slop Deck of all time. It was quite obvious it was Ai generated and the rep had only read a few slides of the 30+. I wonder if they are even aware after losing the sale
Antigravity sucks so bad that I have started to feel that google really doesn't wanna compete, they just wanna hang in there at number 2 or 3, to just annoy the number 1 and 2.
For coding, I don't think they're even number 3, anymore. Seems more like 4th or 5th (unbelievably, even Mecha Hitler seems to do better, though I'm hopeful Gemini 3.5 Pro will turn things around).
Also enshittification is slowly starting. Yesterday I asked Gemini (in the Android app) for a recommendation for an app for sound recording. Instead of it answering I got a popup to allow Gemini access to open the app store (or something like that, I didn't allow it). When I declined it just stopped the conversation. It was actually hard to get it to just reply with a list of apps. And I have an AI subscription with Google!
Apparently it is Language Model, as mentioned in the announcement of NotebookLM in 2023 [0].
> Today we’re beginning to roll out Project Tailwind with its new name: NotebookLM, an experimental offering from Google Labs. It’s our endeavor to reimagine what notetaking software might look like if you designed it from scratch knowing that you would have a powerful language model at its core: hence the LM.
It's funny how similar that article's intro is to today's announcement.
Guys google, I know enough people in the company to know how this decision was made, but I must say as a user if you rename or kill another thing I will stop using any Google service I still use.
This might be the one time I might forgive it but guys please don't it's annoying.
NotebookLM is genuinely useful for structured research workflows. My concern is not the name. It's whether the "notebook" metaphor survives the rebrand.
I have several projects with lots sources (800+). I mostly work with webpages, papers and youtube videos. It also supports mcp if you want to connect something.
Claude/ChatGPT still end up making things up when they can't find anything, notebook is much better to 99% reply based on quotes.
But yes a backup is to use Claude and grep, but not quite the same.
I'd like to have audio overviews of scientific papers, so I can "read" them while I drive. NotebookLM/Gemini Notebook sorta does this, but the two-person podcast format is kind of annoying and it can't pronounce math.
Is there something out there that will do this? I'm sure the right harness around frontier models would make it work.
Google:
- Hangout
- Chat
- Meets
- Duo
- ...
Gemini Notebook is a way better name for the masses.
NotebookLM is pretty cool since it can hold a ton of context but this is so far below my (and frankly just reasonable) expectations of Google.
I downgraded my Gemini subscription and got Claude. Still can't believe how much better it is. Fable is way better, that's a given. But Claude even has a real .deb repo. Something Antigravity had and managed to lose.
Apple is placing a major bet on Google and Gemini for iOS 27. If Gemini's decline is any indication of what's to come, Apple could be in serious trouble in six month's time.
I suspect it is part leadership change (sundar/kurain) and over indexing on Ai for doing the job on top of a model that is just not as good (esp flash 3.5). Google Cloud / Gemini Enterprise sent me the greatest Slop Deck of all time. It was quite obvious it was Ai generated and the rep had only read a few slides of the 30+. I wonder if they are even aware after losing the sale
> Today we’re beginning to roll out Project Tailwind with its new name: NotebookLM, an experimental offering from Google Labs. It’s our endeavor to reimagine what notetaking software might look like if you designed it from scratch knowing that you would have a powerful language model at its core: hence the LM.
It's funny how similar that article's intro is to today's announcement.
[0] https://blog.google/innovation-and-ai/technology/ai/notebook...
Large model?
Learning machine?
This might be the one time I might forgive it but guys please don't it's annoying.
Is there something out there that will do this? I'm sure the right harness around frontier models would make it work.