+TAGS:
Wednesday, 9.42pm
Sheffield, U.K.
Being born in a stable does not make one a horse. – Duke of Wellington
There was a bit of an uproar yesterday in the small corner of the Free Software world on Fosstodon – the Mastodon instance about that kind of thing.
WordPress was in talks to sell its user content to the AI large language models businesses.
Your data, that is, if you have a blog on WordPress.com.
Like I do.
It’s not all bad, you can go into the settings and check a box to opt out of doing this.
Looking at the date on that, looks like the documentation only came out yesterday (27th Feb 2024).
So I’m not actually that far behind shutting the stable door.
Now… I haven’t heard about this on any of the other social media platforms, possibly because they are full of self-promotion and less useful stuff.
Another mailing list that I’m on sent a note around about Stack Overflow, the popular question and answer service, being inundated with responses generated by AI.
Long, tedious, not very helpful ones at all.
There’s a term for what is starting to happen to almost everything around us.
“Enshittification”
The enshittification of everything is happening.
The amount of noise in the world is increasing exponentially now that we have created machines to make the noise faster.
Words, pictures, videos – all the things that took time to create and make are now created in seconds.
Maybe less.
And the reality is that we are the worse off for it.
Not because the stuff isn’t good – some of it is.
But because there’s so much of it that it will take us forever to even look and see to find what we might like.
It’s like what happened to Amazon a while back.
Once anyone could publish you ended up with the general enshittification of ebooks.
You had a good book and then some random bloke decided that he’d write the “summary” of the book and now many people probably use AI to write a bunch of summaries based on other people’s summaries.
It’s pureed vomit. That’s what it is.
So here’s what’s going to happen.
- We’re going to go back to our favourites – watch the same shows again and again.
- We’ll go with recommendations of people we know and trust for new things.
- We’ll try the things that go viral accidentally – that somehow everyone has found at the same time. Traitors anyone?
Actually, this is no different from what we were doing before.
Carry on folks.
Cheers,
Karthik Suresh

