How to Keep Up With AI Without Losing Your Mind

The AI space moves faster than anyone can keep up with. A model you evaluated three months ago is obsolete, a best practice you wrote down last quarter is already wrong, and there's a new tool every week claiming to change everything. This is a practical talk about staying current without burning out, from someone who's spent the last year keeping a development team's AI tooling from going stale. We'll separate signal from noise: which changes genuinely matter to your work and which are hype you can safely ignore; how to set up a routine for tracking this stuff instead of doomscrolling release notes; and how to make decisions when the ground won't stop shifting. You'll leave with a realistic system for keeping up that fits inside a normal working life.