Skip to the end

"The basic assumptions we had about how computers work have flipped. The IT-indoctrinated brain has always tried to attack messy real-world problems by surrounding them in a logical ring-fence. They hold onto this notion that computers are tools in the same way that shovels and drills are tools. They're a means to an end. Shovels are a means for making holes in the ground. Drills are means for making holes in the wall."

"You reflexively see every problem you encounter through the lens of relational databases and form submissions. You might even judge how "technical" someone is by their ability to massage real-world problems into table schemas and imperative logic. You probably thought this was a funny joke once... ...and for the first 75 years of computing-from 1945 to 2020-it was. Database lookups were trivial, computer vision was virtually impossible."

Developers trained before 2021 often structured problems around relational databases, form submissions, and imperative logic. For decades database lookups were trivial while tasks like computer vision were nearly impossible. Modern AI has made perception and natural-language tasks trivial, enabling identification and semantic understanding from simple inputs like photos or questions. That shift flips assumptions: software no longer needs to be merely a tool that constrains users; software can directly produce outcomes. Practical changes include organizing content automatically, executing natural-language rules instead of DSLs or state machines, and generating custom messages without forcing templating systems.

Read at Thenanyu