+ walkman 80s but diffused as today the Bluetooth headset only years later but not comparable

+ mp3 player 2000s not comparable as capabilities and more of a young adopt early technology

+ smartphones 2010s mass adoption but at least you hear mostly people around you.

+ air pods 10y ago on September -> in 10 years are adopted more than any of the previous tech. Adoption rate is hug (i consider also other brands)

and to be honest there is another topic correlated -> most young people have lived the covid pandemic and interiorizited some behavior

also grown up in some white collar sector live with headset after the pandemic, cause of smartwarking but also the more diffused use of team/zoom/meet in the workplace

now there is also ai (and it's a matter of time we will want a constant access to it that can also be headset related) and smart glasses are near than ever.

there could be consequences in less than 10y.

It's a social science matter nobody taking seriously.

Nothing against AI obv, but we must start to address the use and abuse of it. Some sorts of patterns in the usage, having a documentation or a readme as in this case is ugly and should be catalog under "anti-pattern".

This is just an example, in a WIP project and okays, it's not a sin.

But maybe we should start addressing, backed by big players an in big proportion by no profit foundation and academic (public and private) institutions, the problem of:

How to use AI, what kind of things is useful doing with it and what not, how to evaluate that, in what stages of things can one have space to misuse this tool and in what not.

This not much as a mandatory thing, but as a starting point for everyone approaching the use of AI as a building tool. A guideline. A market standard. So that anybody can address at moment 0 landing on a repo, if it's compliant with some standard or not. Because have in mind, as a compass, what somebody investing some effort put into this field.

Could be argued that common sense already addresses this very efficiently and that it's a matter of iteration and we all as a whole can build this common sense on ai use, but I think that having some credible org write it in a easy, accessible, verifiable, and used is a milestone toward it. And can accelerate the process with a small effort. Also can affect directly the various AI tools.

Best practices, and concept, must be shared and easy to be access by everyone, as always have been in this field.