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Tomer_Noy
Employee
Employee

Now that R82 is out, how about an AI generated podcast about it?

Hi,

We've been experimenting quite a bit with AI technology at Check Point, and even more so in the last couple of years since the launch of LLMs.

One of the cool AI tools that was recently launched is called notebooklm (by Google). You can feed it documents, then ask it various questions based on that content, ask for a summary and so on. It's open for use by anyone with a Google account, so you can use it for academic or personal purposes.

A really cool feature that they have is the ability to generate an interview-themed podcast based on the content that you fed it. So I took the official R82 release notes and gave it a try 😁

Here is the resulting podcast:
https://notebooklm.google.com/notebook/1259577c-7790-49e5-b481-81c0f3aa3987/audio 

It's important to note that it's not perfect, but it's still mind-blowing that something that sounds so real and insightful was generated by AI. You really get a feeling that it understood the R82 release content and the features. So if you prefer to listen to an engaging conversation, instead of reading a dry list of features, give the link a try!

Also worth mentioning that you can give the tool some guidance in a prompt, when you generate the podcast. For example, the original sounded a bit "cheesy" and even cringe  with the level of enthusiasm, so I asked it to use a more professional tone. Also, I asked it to make sure to include the Management and Multi-Domain related features, as it omitted some of them in the first attempt.

Let me know what you thought in the comments, and you are welcome to share more podcasts of other Check Point documents 😉

Tomer

(1)
3 Replies
_Val_
Admin
Admin

Wow! Just WOW!

0 Kudos
PhoneBoy
Admin
Admin

You just generated my next podcast 😉

0 Kudos
G_W_Albrecht
Legend Legend
Legend

Honestly, i like to read and study it by myself ! Awak, AI does not understand anything (in our human way) but works using probabilities only, so it is severly limited... And counting the resources AI needs, it is always cheaper and much more ecological to use human labour instead 😉

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