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Photoroom Unveils PRX: A Fully Open‑Source Text‑to‑Image Diffusion Model

Photoroom Unveils PRX: A Fully Open‑Source Text‑to‑Image Diffusion Model

Photoroom’s PRX model opens the curtain on end‑to‑end text‑to‑image training, releasing a 1.3 B‑parameter diffusion engine and the full experimental recipe under Apache 2.0. The release promises to democratize high‑resolution generative AI by exposing every tweak, from backbone choice to post‑training distillation.

Diffusion Language Models Emerge as Unlikely Challengers in Data-Efficient AI Training

New research reveals diffusion-based language models may dramatically outperform traditional transformers in data efficiency, learning complex tasks with significantly less training data. This unexpected capability challenges core assumptions about large language model scaling and opens doors for specialized AI development with reduced resource demands.
Beyond Next-Token Prediction: How Multi-Token Approaches Unlock True AI Creativity

Beyond Next-Token Prediction: How Multi-Token Approaches Unlock True AI Creativity

Award-winning ICML 2025 research reveals fundamental limitations in next-token prediction for creative tasks. By introducing diffusion models and seed-conditioning techniques, researchers achieve breakthrough performance in open-ended problem-solving while addressing autoregressive models' memorization pitfalls.