I'm sure it is. It's difficult with a full time job though. Yes, in principle it can be made easier by going to bed earlier... but that's not simple either.
The walled garden approach stifles creativity and robs talented artists of the opportunity to express their work and get paid fairly.
Hope the EU or another progressive regulatory body allows users to fully control what they can/can't download and from where on to the phones they purcahsed.
Understand the concern here - I can confirm the diagrams/interactive elements on desktop were AI generated based on a diagram I made in powerpoint. The interactivity and JS elements is not something I'm not going to code myself. I'm a writer/thinker not a frontend dev.
The diagram is almost 1:1 the same except the cheese layout which it chose to do a bit differently. The mobile version of the diagram is an AI driven layout restructure - however still true to my source material.
The writing of the article is entirely my own. I'll choose to take it as a compliment that you think it's too polished haha.
Is it possible for a tool to know if something is AI written with high confidence at all? LLMs can be tuned/instructed to write in an infinite number of styles.
The WikiEDU project has some thoughts on this. They found Pangram good enough to detect LLM usage while teaching editors to make their first Wikipedia edits, at least enough to intervene and nudge the student. They didn’t use it punatively or expect authoritative results however. https://wikiedu.org/blog/2026/01/29/generative-ai-and-wikipe...
They found that Pangram suffers from false positives in non-prose contexts like bibliographies, outlines, formatting, etc. The article does not touch on Pangram’s false negatives.
I personally think it’s an intractable problem, but I do feel pangram gives some useful signal, albeit not reliably.
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