The model seems to have a tendency to over-texturize images whenever it gets the chance. It seems to apply a high-frequency pattern that helps provide much more final detail, but that in many cases is perceived as regions with high unnecessary contrast variation.
MULTIMODAL AI
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ChatGPT Image Generation Yellow Tint Visual Analysis
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¿Habéis detectado ya cuál es el "tinte amarillo" de la nueva versión de imágenes de ChatGPT? Yo lo tengo claro Os dejo un examen visual, pero cuidado porque una vez lo veais no parareis de notarlo.
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GenRobot Glove Enables Robot Learning Through Human Hand Gestures
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GPT Image 2 creates brand guidelines from brunch photo
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GPT Image 2 I went for brunch yesterday at my local spot. Snapped 1 photo. Added it to Chat, and it spits out a full new brand guideline for them. Honestly way better than what they got. prompt below
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OpenAI’s generative graphics: learning responsible AI tool use
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Back in 1988 when we first got professional fonts and laser printers people did the ugliest documents with the things until we all learned not to use 15 different fonts on one page. Today we got the modern equivalent from @OpenAI What kind of wacky graphics can we make now?
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Resolution Impact on AI Image Generation Quality and Output
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Yes resolution could impact the quality of the output too – basically if it generates more pixels it has more opportunity to do a better job, so this isn't just an upscale. But they are also saying it is an experimental feature, so could create random issues too potentially
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OpenAI launches ChatGPT Images 2.0: AI reasons before drawing images
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OpenAI vient de lancer ChatGPT Images 2.0.
— VISION IA (@vision_ia) 22 avril 2026
Et cette fois, le modèle réfléchit avant de dessiner.
La différence fondamentale avec tout ce qui existait avant : il raisonne sur votre prompt, planifie la composition, vérifie ses propres contraintes, puis génère l'image. Ce n'est… pic.twitter.com/3S2bDnRhXLOpenAI has just launched ChatGPT Images 2.0. And this time, the model thinks before it draws. The fundamental difference with everything that existed before: it reasons about your prompt, plans the composition, checks its own constraints, then generates the image. It's no
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GPT-ImageGen-2 Creates Comic from Tennyson’s Ulysses in One Shot
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GPT-ImageGen-2 did this in one shot, with just the prompt "turn all of Tennyson's Ulysses into a comic, across as many pages as needed. make it great, include the full text" 10 pages, though it did use what seems to be the ImageGen-2 's preferred "spackled drawing" style 1/
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V-JEPA 2.1: Video Learning Without Labeled Data
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V-JEPA 2.1: Learning Video Understanding Without Labels
— Satya Mallick (@LearnOpenCV) 22 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, a next-generation video learning model that shifts away from traditional supervised training. Instead of relying on labeled datasets,… pic.twitter.com/IQ0y6G8KILV-JEPA 2.1: Learning Understanding Without Labels In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, a next-generation video learning model that shifts away from traditional supervised training. Instead of relying on labeled datasets,
