Early or Late Adopter?

Where do YOU fall upon the Adoption Curve?

"Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. The theory was popularized by Everett Rogers in his book Diffusion of Innovations, first published in 1962.[1] Rogers argues that diffusion is the process by which an innovation is communicated over time among the participants in a social system. The origins of the diffusion of innovations theory are varied and span multiple disciplines."

See the Wikipedia article.

Are you an early adopter of technology?  If you are reading my blogs the probability is quite high that you are an Early Adopter or Innovator.  So, welcome to the future.

I'm currently playing with several new technologies - and in some instances combining and cross-breeding the tech.  Most likely you are doing similar.

I'm fascinated with the Open-AI CEO firing/rehiring debacle.

Machine Learning (not AI) is one of my areas of interest, and I've dipped my toes into the LLM hype.  Given the rate of reduction of tech adoptions, I expect most people to far over-estimate the time to adoption for general AI solutions within everyday situations.  As I write this my wife is battling the two AI assistants we have in our home.  Is it Siri or Alexa she needs to command?  While I'm clicking misspelled words on this post Grammerly corrects them.

Trans-compile to Android
(New 2023 Tech)

A few years back... I jumped into iOS App development.  Not very early for that tech - because I hated Objective-C (and C old-school attitude to programmers as humans).  When Apple released Swift - I was IN!

The first App I built - to transition from learner/beginner to Real-Life App Dev was simple and the colleagues I built it for also wanted an Android App.  I was upfront - that the Android and Java toolchain development was not me.  That domain I have left far behind.  For much the same reason, I did not enjoy the last years of Java development.  The Java toolchain was computer-focused - not human-focused.  

When you can distinguish the difference... it is because you have used a tech that respects the two domains.