When Your Code Is Too Efficient For Your Own Good

The irony of AI companies fighting over scraped data is peak Silicon Valley drama. OpenAI spent years vacuuming up the internet's content to train ChatGPT, and now they're clutching their pearls when DeepSeek does the same to them. It's like watching a digital version of "The Princess Bride" where the dude who stole everything is suddenly outraged when someone steals from him. Twenty years in tech has taught me one universal truth: there's nothing more sacred than the data you've already pilfered from someone else.

Content Mark Dalgleish V markdalgleish Developers during hackathon: We built an entire application in just 3 days. Developers after hackathon: Adding that icon is going to take 3 weeks.

Remember when everyone used "master" before the great renaming to "main"? Yeah, those legacy repos are still out there, lurking in production like ancient artifacts. You're working on your feature branch, everything's modern and clean, then someone asks you to check something on master and suddenly you're transported back to 2019. The branch still works perfectly fine, but saying "git checkout master" feels like you're about to get cancelled by your CI/CD pipeline. It's like finding a working floppy disk drive in 2024—technically functional, but you feel weird using it.

Content SO WHAT DO YOU DO FOR A LIVING? AND OUTSIDE OF WORK? workchronicles.com I WRITE CODE. ( 1... WRITE CODE. (

Content Project Manager: We're going to build a facial-recognition application. Programmer: OK Project Manager: People will put in a photo, and it will search a database for matching faces. Programmer: OK Project Manager: And while it's doing that, it should flash up, on screen, a slide show featuring hundreds of other random faces which definitely aren't a match No that's stupid we're not doing that. Programmer:

Content Software Engineering be like: It works.