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Discussion (66 Comments)Read Original on HackerNews
My current “audio-learning” hack is ChatGPT Live which has become shockingly good after being awful compared to Claude Voice (Let’s not even talk about Gemini voice which is still bad).
I go on a walk and dump a paper or article link in the chat, and ask chatGPT Live to walk me through the content in small nuggets, so I can discuss them interactively. For deeper topics I have it quiz me Socratic style so I’m not just passively listening, and actually thinking through problems or ideas.
Me:
====For the Socratic quiz I say:
I also have a Socratic quiz skill that I wrote for using in Claude Code or Codex to understand implementations/architecture etc:https://pchalasani.github.io/claude-code-tools/plugins-detai...
The latest console is the Asus ROG Xbox Ally X
Google:
- Hangout
- Chat
- Meets
- Duo
- ...
Gemini Notebook is a way better name for the masses.
Eventually, if something makes news or when they try to trim offerings, suddenly the company can focus on it and then does course corrections.
Something of note is that this is now the third name for this product, the first name was impressively bad and so myopic that it feels kinda hilarious.
They wanted to call it Tailwind. Like the #1 CSS framework on earth.
There's a lot of these in their sub.
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.
Google's last frontier model release was Gemini 3.1 Pro, which was in February of this year[1]. At the time, it was ahead of the (at the time) flagship models of Opus 4.6 and GPT 5.2/5.3. From my recollection of the time, it was the best model in the world.
Anthropic released Opus 4.5 Nov '25, 4.6 in Feb '26, 4.7 in April, 4.8 in (late) May. Then Fable in June. 4.7 beat 3.1 Pro on multiple metrics. Fable eats it for breakfast. However, I want to note the 3 month gap between those first two Opus versions.
OpenAI released 5.2 Dec '25, 5.3 Codex Feb '26, 5.3 Instant Mar, 5.4 Mar, 5.5 (late) May, 5.6 July. 5.4 beats 3.1 Pro on agentic benchmarks[2], seems to be similar/losing on non-agentic. 5.5 seems stronger than 3.1 Pro[3].
Gemini 3.5 Pro is alleged to be launching within the week. Why do I type this all out? Because I think Google is getting a bad rap. They are delayed on a frontier release by a month or two and are being regarded as if they cannot release frontier models. I think their last release demonstrates strength and we need to see a weak release before we call them "behind" (in any reasonable sense). These companies swap back and forth constantly. I recall a multi-month span where 2.5 Pro was just the best thing out there by a large margin (in my opinion).
[1]: https://blog.google/innovation-and-ai/models-and-research/ge...
[2]: https://www.anthropic.com/news/claude-opus-4-7
[3]: https://www.anthropic.com/news/claude-opus-4-8
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
Google is kinda famous for killing a product and replacing it with a worse one, though, so not very surprising.
> 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.
Feel free to email if you have any questions or feedback.
Can pronounce math is the real showstopper for me. Last time I tried, NotebookLM would try to say the TeX out loud. Like underscore dollarsign...