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Gemini in Chrome

gemini.google

21–30 of 77 posts

Re: Gemini in Chrome

#21

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

As a heavy LLM user, professionally and personally, I use "summarize this" a lot - I find that most content in the world is low signal-to-noise and a lot of the time the salient / useful information is hidden within unnecessary layers.

The only time I didn't think summaries are useful is with creative fiction or pure entertainment content.

Re: Gemini in Chrome

#22

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

[dead]

Re: Gemini in Chrome

#23

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

Corporate org level announcement mails

Unnecessary long-form news articles that bury the lede.

Re: Gemini in Chrome

#25

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

I’ve got one. When estimating tasks, there’s a particular blog article I like to reference [0] and I used an LLM to summarize it into a set of project instructions. Did it read the summary? Nope, I already know the material and have been using it for years. But it was a great way to communicate the key points to the model as part of project instructions. [0]: https://jacobian.org/2021/may/25/my-estimation-technique/

Ah OK.

So in this case, this was not you trying to ingest a condensed version of the info, but rather transforming it to build a prompt (under the assumption that shorter instructions would perform better than the full article).

Makes sense

Re: Gemini in Chrome

#27

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

I've been using it on my own written docs to see what my co-workers inevitably see

Re: Gemini in Chrome

#28
How can OpenAI, Anthropic, or any other AI player compete against this? Google can just slap their products to everybody in Android, Google Chrome, Google Search, which creates an unfair advantage.

Re: Gemini in Chrome

#30

Can somebody please share what your "summarize this page for me" use cases are? I really struggle to understand how many people seem to have "summarize this" as their main LLM use case. And I use LLMs every day, for so many tasks - just never this one. Can you please share a couple of real-world times where you couldn't bother to read the "thing" and truly got value from having a LLM read it for you?

Corporate org level announcement mails

So Management went to ChatGPT and asked, "can you write a launch email about $event_x " and you then go there to ask, "what did management want to say in this email about $event_x"?

How likely is it that the output summary is mostly made of stuff that the LLM made up in the first expansion process? (eg, you're getting summarized noise if the original signal - the prompt - was much shorter than the email)

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