Thanks for this. I sincerely hope we’re headed to where we have the 500 maps as our default mode, and the ends to do with scale and modularity are met by machines. Effectively, the vain effort of Tomás, automated as appropriate.
Might be fun to get one’s hands on all 500 maps and see what Claude can do.
What a great story - thanks for sharing! Your commentary on what is lost with "scalable design" is something I think about a lot. There was a great TED talk by Jacek Utko about redesigning newspapers that is a fine example of this: https://www.youtube.com/watch?v=zHuH8P_Vqc0
Beautiful - thank you for writing this. Gives me so much to think about as we try and make software that feels closer to making many maps (literally & conceptually).
I can’t help but to think how applying AI techniques to the problem of collating 500 individual maps into a single map, machine learning seems made for this type of problem. Imagine doing an identical task *today* on a global scale. What a great way to bring people together, I’d love to do that project.
Thanks for this. I sincerely hope we’re headed to where we have the 500 maps as our default mode, and the ends to do with scale and modularity are met by machines. Effectively, the vain effort of Tomás, automated as appropriate.
Might be fun to get one’s hands on all 500 maps and see what Claude can do.
What a great story - thanks for sharing! Your commentary on what is lost with "scalable design" is something I think about a lot. There was a great TED talk by Jacek Utko about redesigning newspapers that is a fine example of this: https://www.youtube.com/watch?v=zHuH8P_Vqc0
I suspect we are thinking along the same lines. Everyone gets a map. https://youtu.be/sqvHjXfbI8o?si=eESRUML5cMIM9vMK&t=550
Beautiful - thank you for writing this. Gives me so much to think about as we try and make software that feels closer to making many maps (literally & conceptually).
Thank you for the delightful story and thoughtful question. How many maps, indeed.
I can’t help but to think how applying AI techniques to the problem of collating 500 individual maps into a single map, machine learning seems made for this type of problem. Imagine doing an identical task *today* on a global scale. What a great way to bring people together, I’d love to do that project.
Typo alert: "enumerable" means "able to be counted. I think the word you wanted was "innumerable", which means "too many to be counted.
corrected, thanks for the note!