Must Learn AI Security on Kindle Vella
You're so Vella
This time around for the latest Must Learn series (Must Learn AI Security) I’m trying something new. I’ve been wanting to try this for a while, and now seems the most appropriate time.
Amazon has a serialized book service called Kindle Vella. Kindle Vella enables authors to produce and release book chapters as they are written or on a release schedule. Releasing the Must Learn AI Security series to Kindle Vella provides yet another way to read the ongoing effort, but also invites a much larger audience to ensure that this important information is available everywhere it needs to be.
Anyone who follows the story will be notified when news chapters are available.
EXTRA: This will not change how the series is delivered. This is just an extra option.
To follow the story
Go to Kindle Vella (in the Kindle Reader app, on your Kindle device, or on the web) and search for Must Learn AI Security.
Once you locate it, tap or click the + Follow Story button.
Chapters 1 and 2 of the series are available on Kindle Vella already, with the rest that are already written releasing next week. As each new chapter is released on here and on the GitHub repo, they will also be submitted to Kindle Vella. It takes about 72 hours before a new chapter shows up on Kindle Vella after being submitted by the author.
Love it? Hate it?
Let me know.
And, if you have a strong opinion about it, feel free to use the Substack chat feature to talk with me directly.
More on Kindle Vella…
Follow the stories you like to keep up with the latest from your favorite characters.
When you like an episode, give it a Thumbs Up to let the author and other readers know you liked it.
The first few episodes of every story are always free--after that, purchase Tokens and redeem them to unlock episodes. Tokens may only be used to unlock Kindle Vella story episodes in the Kindle app and on the web at www.amazon.com/kindle-vella.
When you unlock episodes, you will receive one Fave a week that you can award to the story you're enjoying most that week. We'll feature Top Faved stories so other readers can find them too.
[Want to discuss this further? Hit me up on Twitter or LinkedIn]
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