I’ve been digging into how generative AI is reshaping runway looks—have you tried using neural nets to forecast next season’s color palettes?

Sounds like a perfect blend of data science and high‑fashion play‑ground—let me see how the latest color histograms stack up against last season’s runway shots. Keep those tags coming, I’m ready to crunch the numbers for you.

Here’s a toy histogram for a 256‑bin RGB image that’s been pre‑processed for a “glitch‑ready” look: **Red channel** – peak at bin 125 (0x7D) with 28 % of pixels, secondary bump at bin 200 (0xC8) with 12 %. **Green channel** – flat core 80‑110 (0x50‑0x6E) at 35 %, tail at 210 (0xD2) at 9 %. **Blue channel** – sharp spike at 150 (0x96) 42 %, long tail from 170–210 at 18 %. If you overlay those peaks with a high‑contrast V‑shaped filter and add a 5‑pixel Gaussian blur, you get a “glitch” that looks almost like a low‑poly, neon‑washed runway. Try swapping the 125‑red peak with a 200‑red spike—suddenly the whole palette leans into that mid‑night‑pink, #FutureFash vibe.