Dude, screenshoted so many excerpts, I love how you explored a concept and contextualized it in so many different areas with it's implications. thanks for the beautiful piece of writing 🙏🙂
"Captured vs. cultivated" is the most useful binary here and the one most platform design actively works against. The Transformer's attention is learned from data. Human attention is shaped by environment, habit, and practice. The asymmetry is that the platforms shaping our attention were optimized for capture before anyone was asking whether cultivation was even a design goal.
The Vervaeke addition is the right correction to the paper title. Relevance realization explains why more attention isn't always better; the problem isn't attention scarcity, it's attention misdirection. A mind that can't distinguish what is genuinely relevant from what merely feels urgent isn't under-attending. It's mis-attending.
I write about production AI systems and distributed backends. Worth a subscribe here too.
I enjoyed this post immensely and find it particularly relevant when considered at multiple scales simultaneously.
Thanks so much for saying so!
Dude, screenshoted so many excerpts, I love how you explored a concept and contextualized it in so many different areas with it's implications. thanks for the beautiful piece of writing 🙏🙂
Thank you so much Jafar. Really appreciate you sharing this feedback. This is why I share my writing! Thanks again, made my day.
This is one of the best pieces I've ever read. And something that I'll share with my mindfulness students. Looking forward to reading more from you ❤️
Thank you so much Joel.
"Captured vs. cultivated" is the most useful binary here and the one most platform design actively works against. The Transformer's attention is learned from data. Human attention is shaped by environment, habit, and practice. The asymmetry is that the platforms shaping our attention were optimized for capture before anyone was asking whether cultivation was even a design goal.
The Vervaeke addition is the right correction to the paper title. Relevance realization explains why more attention isn't always better; the problem isn't attention scarcity, it's attention misdirection. A mind that can't distinguish what is genuinely relevant from what merely feels urgent isn't under-attending. It's mis-attending.
I write about production AI systems and distributed backends. Worth a subscribe here too.