I’ve been watching the 3D printing space evolve over the years, mostly from the sidelines. There’s something satisfying about the idea of being able to fabricate physical objects on demand, though I’ll admit my own maker skills are more oriented toward deploying containers than designing custom brackets. So when I stumbled across a project that essentially gives an AI agent the ability to search, design, slice, and print 3D models through natural conversation, I had that familiar mix of excitement and unease that seems to accompany every significant AI advancement these days.

There’s something deeply cynical about watching a company worth billions announce 1,600 job cuts while simultaneously claiming “our approach is not AI replaces people.” It’s the corporate equivalent of “it’s not you, it’s me” – except it’s very much them, and we all know it.

Atlassian’s latest round of layoffs has been making the rounds in tech circles, and the discussions around it have been fascinating in all the wrong ways. The official line is that AI is making workers more “efficient,” which apparently means they need 1,600 fewer of them. But here’s the thing that really gets under my skin: AI isn’t holding a gun to anyone’s head. These are choices made by executives, pure and simple.

Andrej Karpathy just casually dropped something on Twitter that’s got me sitting here with my third latte of the day, staring at my MacBook screen and feeling that familiar mix of excitement and low-key existential dread that seems to define 2025.

For those who don’t know, Karpathy is one of the godfathers of modern AI – co-founded OpenAI, former head of AI at Tesla, basically the kind of person who forgets more about neural networks before breakfast than most of us will ever learn. So when he posts about an AI agent that ran autonomously for two days and improved his tiny LLM training process by 11%, making it go from 2.02 hours to 1.80 hours to match GPT-2 performance, people pay attention.