Mohammad Saffar

The long-awaited testing phase for @Midjourney V8 has officially begun, marking a massive leap forward for the generative art platform. This latest iteration promises a significant boost in efficiency, operating at five times the speed of its predecessors while maintaining a much tighter grip on complex prompt instructions. High-resolution creators will find the native 2K modes particularly useful for professional workflows. The update also brings more reliable text rendering and enhanced "sref" styling, allowing for a level of aesthetic consistency that was previously difficult to achieve. Personalization is a major focus of this release, with improved moodboard performance to help users fine-tune their unique visual language. It is an impressive step toward making AI-assisted design both faster and more intuitive.

Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: amilabs.xyz AMI - Real world. Real intelligence.

Excited to introduce Uni-1, our new *unified* multimodal model that does both understanding and generation: lumalabs.ai/uni-1 TLDR: I think Uni-1 @LumaLabsAI is > GPT Image 1.5 in many cases, and toe-to-toe with Nano Banana Pro/2. (showcase below)

@sama Really impressive model, huge congrats to everyone who worked on it at OpenAI! However, the calendar is wrong, I fixed it for you in Nano Banana Pro 😀

For years, RAW pixel space pretraining has been sidelined: too compute-expensive. Our new @GoogleDeepMind paper 📜 dives into the scaling trends of raw pixel models to answer the question “how far are we from scaling up next-pixel prediction?” arxiv.org/pdf/2511.08704 Forecast: Raw next-pixel modeling will reach competitive ImageNet classification (>80% top1 accuracy) and generation metrics (90 Fr’echet Distance) in five years! Threads 👇