Mercury 2 from Inception is the first diffusion-based reasoning model. Instead of generating text word by word, it refines entire passages in parallel, making it more than five times faster than conventional language models.<br /> The article Inception launches Mercury 2, the first diffusion-based language reasoning model appeared first on The Decoder. [...]
Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]
Inception Labs has introduced Mercury, a new series of large language models that use diffusion technology rather than traditional autoregressive processing. The company reports these models can proce [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with Represent [...]
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning.The framewo [...]
GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a [...]
The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors [...]
Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynam [...]
Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute- [...]