Pioneer of AI slop

The vocabulary word is AI slop ▸ 41:04, defined on camera: mass-produced, low-effort AI content optimized for visits over value, “prioriza cantidad y velocidad sobre sustancia” ▸ 41:53. The exhibit: a TikTok saga of a humanoid tiger kicking a pregnant cat, pure clickbait hook, no content ▸ 43:00, sitting on 155,000 likes ▸ 45:32. And his forecast: today’s flood is a trickle, because bulk generation isn’t tooling-easy yet, “en el momento en que saquen herramientas para automatizar esto… van a generar un montón en bulk” ▸ 47:38.

Then the confession that turns commentary into memoir. In his NFT-artist era he reasoned exactly like a slop farmer: more output, more chances to sell. So he and his brother automated the art pipeline ▸ 48:22. Result: a 3,000-image collection that sold approximately one piece ▸ 48:43. His title, worn like a scar: “yo podría decirse que soy pionero en la creación de AI slop” ▸ 48:52. The hand-made pieces from that same era, the ones he studied art for, earned him his first million-and-something pesos; the automated flood earned nothing.

la automatización multiplicó la oferta y dividió el valor; le pasó a él primero →

That’s the economics the tiger video hasn’t learned yet: generation cost falling to zero doesn’t multiply your revenue, it multiplies your competitors, including the 2,999 other images in your own collection. It answers the Xania Monet question from experience rather than taste: when everyone can flood, floods are worthless, and the only durable positions are the ones slop can’t occupy, curation, context, and being someone. He watched this movie as its protagonist, and the moral cost him only two million pesos of tuition…