Someone left a comment regarding when the book will come out, and instead of leaving a long response in the comments section, I figured it warranted a proper post:
I'm really sorry about the delay, but there is one really important hangup. To summarize what has happened over the last many months: I over-invested in a mnemonic technique that was based SOLELY on leveraging the power of AI image generation, and the results were not what I had expected.
Since I basically rewrote my "global mnemonic system" to accommodate for AI images, after the failure of this system, I had to decide what to do. I had two options: 1. Use the same mnemonic system that I was using previously (Which I had been using for many years) or 2. rewrite the system while making adjustments in light of what I had learned. Although it is time consuming, I opted for option 2. Think of it as when Microsoft failed with Windows Vista or Windows 8 so they course corrected with Windows 7 or Windows 10.
When I first started creating an organized mnemonic system years and years ago (Which at the time was mainly for Japanese character readings), I didn't TRULY know what I was doing, I was just learning as I went along. Essentially this entire blog is an exercise in self-experimentation, and I simply post my results here. Over the years I have learned what mnemonic systems are easier to work with compared to other systems. For example, source material WITH linear scenarios and progression seem to be more effective/faster to associate mnemonic meaning than source material WITHOUT linear scenarios and progression. So for example, a Tarantino movie or a TV show that features many flashbacks will not work as well as something with a straightforward beginning, middle and end. Not that stories with non-linear source material are IMPOSSIBLE to use with an organized mnemonic system, but it seems like it requires more work to create and maintain.
These are the kinds of useful insights I want to articulate and put out onto the internet so others in the same position as me can benefit from my failures. I like to think of myself as a cartographer that is exploring a mostly unexplored and windy cave. Many passages lead to dead ends, but it's still worth it to KNOW that it is a dead end. I don't want to say "This works, I recommend you do this too" unless I know that FOR A CERTAINTY it ACTUALLY works. When I started experimenting with AI images, I thought FOR SURE this was going to change the world of mnemonics, but instead it ended up being a great SUPPLEMENT somewhere in the middle. I have a pattern of doing this with many things, actually. Heck, this same cycle happened to me with SuperMemo itself. I started using it, became WAY too obsessed with it, and eventually found a balance in between the two extremes of NOT using it and using it TOO MUCH. I think I have found this balance when it comes to the application of AI images in mnemonic systems, and I'm in the process of proving this to myself. I'm not sure how much work is remaining until I feel like I can put my "stamp of a approval" on the system, but I don't want to recommend it too early because I don't want to mislead anyone.
I don't want to say "I did this for 2 weeks and it was useful!" I would rather say "having tried system x, y and z thoroughly, I can say absolutely system x is the way to go."
So again, sorry for the delay! But as a famous nerd once said:
