Intro to NotebookLM

One of many instruments that I discovered not too long ago and I hold utilizing increasingly every day is NotebookLM from Google Labs. NotebookLM is a good instrument for studying new subjects, researching massive quantities of knowledge, summarizing knowledge.
The information is organized into notebooks, every pocket book can include a number of sources of knowledge.
You may add knowledge in numerous codecs (net URLs, Slides, PDFs, textual content recordsdata, audio knowledge, YouTube movies, …) after which use the instrument to research them.

I often use it to ask questions in regards to the knowledge or summarize the info and/or extract items of data.
Essentially the most helpful characteristic for me is that whenever you ask a query it is going to present a solution with numbered hyperlinks to the sources so you’ll be able to double verify if the reply is appropriate or not.

Right here, I’m opening the pocket book Introduction to NotebookLM and ask the query What’s the most variety of phrases a pocket book can include? and you’ll see that it answered with a hyperlink to the paragraph that lists the Supply limitations. (Every supply can include as much as 500,000 phrases.)

That’s very useful whenever you need to verify if the reply you’ve acquired is grounded on reality or not.

A WordPress hack

A couple of days in the past I had the concept of making an attempt to see if it’s potential to research WordPress logs with NotebookLM (or with LLMs typically). That occurred after a buddy’s weblog was hacked and I spent loads of time trying on the logs making an attempt to make sense of them. I used to be pondering, there should be a neater means to do that, LLMs are nice at analyzing structured knowledge.

So, I setup a check WordPress weblog, made it public on the web for a couple of days to get some background web noise logs (to make it as real looking as potential). After which, I hacked my check weblog with the exploit my buddy’s weblog was hacked with (to breed the scenario). The exploit is CVE-2023-6961, it’s associated to the WordPress plugin WP Meta search engine marketing. The exploit is effectively described on this weblog submit from Fastly.

This can be a saved XSS vulnerability by way of the Referer header, you ship an HTTP request with an XSS payload on the Referer header.

GET /index.php/2024/10/20/973498739847943/ HTTP/1.1
Referer: