Smarter Use of AI: When Python Is Enough
For those who love nature, stepping away from the noise of technology and immersing oneself in the richness of the natural world, a sheet of paper and a pen may be all you need.
Conversely, there are those who might even use AI for tasks that could be accomplished with just paper and pen.
With that in mind, I created a Python script that performs tasks which could be done by either AI or Python, from the perspective of saving electricity, reducing CO2 emissions from power generation, and conserving computational resources.
I’ve released it under the MIT license on Codeberg.
Human activity inevitably includes routine work.
Routine work pairs well with programming—if it can be done with code, there’s no need for AI to perform massive computations.
Moreover, even for “sounding board” sessions—organizing your thoughts—you can first create a structured JSON with this script.
This helps AI understand your problem better before you even start interacting with it.
Industrial Revolution (18th–19th centuries)
Mechanical technology → Demand for labor → Spread of disease → Public health systems
Smartphone Era (2010s)
Digital technology → Demand for rare metals → Supply shortages → Recycling & alternative technologies
AI Era (2020s)
AI technology → Demand for electricity → Supply constraints → Renewable energy & power market transformation
It seems that today, we are repeating this same structural pattern.
There are things only humans can do.
Things AI can do.
And things that can be handled through Python and programming.
The ability to flexibly combine these approaches is, in my view, a key part of using AI wisely.
Resources are finite, and there are eight billion of us on this planet.
Demo
Photo by Eugenia Sol: https://www.pexels.com/photo/majestic-slovenian-mountains-in-summer-sunlight-33240143/
Trgr KarasuToragara
https://independent.academia.edu/TrgrKarasuToragara
https://github.com/trgr-karasutoragara
https://note.com/karasu_toragara