Someone's got a crystal ball, and it predicts... wait for it... images from text! 
Shocker! Meanwhile, #arXiv is #hiring, but who needs a job when you can just #dream about #AI wonders? 
https://arxiv.org/abs/2504.06256 #Wonders #Image #Generation #Tech #News #Jobs #HackerNews #ngated
arXiv.orgTransfer between Modalities with MetaQueriesUnified multimodal models aim to integrate understanding (text output) and generation (pixel output), but aligning these different modalities within a single architecture often demands complex training recipes and careful data balancing. We introduce MetaQueries, a set of learnable queries that act as an efficient interface between autoregressive multimodal LLMs (MLLMs) and diffusion models. MetaQueries connects the MLLM's latents to the diffusion decoder, enabling knowledge-augmented image generation by leveraging the MLLM's deep understanding and reasoning capabilities. Our method simplifies training, requiring only paired image-caption data and standard diffusion objectives. Notably, this transfer is effective even when the MLLM backbone remains frozen, thereby preserving its state-of-the-art multimodal understanding capabilities while achieving strong generative performance. Additionally, our method is flexible and can be easily instruction-tuned for advanced applications such as image editing and subject-driven generation.
Neubaur: „Union und SPD verhalten sich wie die letzte Generation“: Für die stellvertretende Ministerpräsidentin Nordrhein-Westfalens, Mona Neubaur (Grüne), geht der Koalitionsvertrag mit Blick auf die... 
**knossos**: A Rust library / CLI for generating mazes.
Supports multiple algorithms & saving to a file!
GitHub: 
Behold, the groundbreaking revelation: 
elephants! Apparently, it only took two of the 
Welcome to the wild ride of "Genetic Programming" for dummies, where random code 
Watch in awe as we reinvent the wheel and call it a "toy project," all while praying our RANDOMELT doesn't melt our tiny brains. 
Dietmar Bachmann 
