Tootfinder

Got the latest ollama running with image generation models now.
Used models are x/flux2-klein:latest and x/z-image-turbo
took about 1min 20s to generate these images on a M2 Max CPU with 64GB RAM
#ollama #GenAI

I think it's time for some #FollowFriday action once again. Today, let's focus on computational/algorithmic/generative art/design practitioners (not AI art :)
An entirely incomplete list, in A-Z order:
@…

Pinterest users, especially artists, says the platform has gotten worse in the past year due to AI moderation, AI-generated art, and AI features (Matthew Gault/404 Media)
https://www.404media.co/pinterest-is-drowning-in-a-sea-of-ai-slop-and-auto-moderat…

Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow
Herlock Rahimi
https://arxiv.org/abs/2512.17878 https://arxiv.org/pdf/2512.17878 https://arxiv.org/html/2512.17878
arXiv:2512.17878v1 Announce Type: new
Abstract: Score-based diffusion models currently constitute the state of the art in continuous generative modeling. These methods are typically formulated via overdamped or underdamped Ornstein--Uhlenbeck-type stochastic differential equations, in which sampling is driven by a combination of deterministic drift and Brownian diffusion, resulting in continuous particle trajectories in the ambient space. While such dynamics enjoy exponential convergence guarantees for strongly log-concave target distributions, it is well known that their mixing rates deteriorate exponentially in the presence of nonconvex or multimodal landscapes, such as double-well potentials. Since many practical generative modeling tasks involve highly non-log-concave target distributions, considerable recent effort has been devoted to developing sampling schemes that improve exploration beyond classical diffusion dynamics.
A promising line of work leverages tools from information geometry to augment diffusion-based samplers with controlled mass reweighting mechanisms. This perspective leads naturally to Wasserstein--Fisher--Rao (WFR) geometries, which couple transport in the sample space with vertical (reaction) dynamics on the space of probability measures. In this work, we formulate such reweighting mechanisms through the introduction of explicit correction terms and show how they can be implemented via weighted stochastic differential equations using the Feynman--Kac representation. Our study provides a preliminary but rigorous investigation of WFR-based sampling dynamics, and aims to clarify their geometric and operator-theoretic structure as a foundation for future theoretical and algorithmic developments.
toXiv_bot_toot

I was sent a link to slowinternet.info and it's interesting how off-putting the images are to me. I struggle to take in the message because of how angered I am by the AI-generated pictures, which are clearly mashed up using art from Simon Stålenhag.

«LLMs are cliché machines, trained on a resilient human weakness for generating maximum content with minimum effort.»
Bingo.
Unfortunately, this too hits the nail on the head: «Bad art is something human beings love to do, in vast numbers. It’s part of who we are, and when abandoned by inspiration we trust in the same methods we’ve programmed into LLMs.»

'It is 2025, and seemingly everyone wants us in the humanities to do stuff “with AI,” informed not by what the technology avails but by the hopes it encodes.' Sonja Drimmer on 🔥on Art Forum
https://www.artforum.com/features/generative-ai-st…

‘When you plant something, it dies’: Brazil’s first arid zone is a stark warning for the whole country https://www.theguardian.com/global-development/2025/dec/28/brazil-first-arid-zone-stark-warning-for-country

This could be long. It's hard to express my thoughts on this.
I had a bit of a heart to heart with my son today. My son is a student at Minneapolis College of Art and Design. He's 26. I'm white, his mother is third generation Mexican-American. To me, my kids are just my kids, I see myself and my ex-wife both in them. But he has been pushing me to realize for some time that isn't how the rest of the people around us see them. They don't see me in them at all, they ju…

«LLMs are cliché machines, trained on a resilient human weakness for generating maximum content with minimum effort.»
Bingo.
Unfortunately, this too hits the nail on the head: «Bad art is something human beings love to do, in vast numbers. It’s part of who we are, and when abandoned by inspiration we trust in the same methods we’ve programmed into LLMs.»