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 process tasks 10 times faster than current approaches, with initial releases focused on coding applications.<br /> The article Inception Labs introduces its Mercury Series of diffusion-based LLMs appeared first on THE DECODER. [...]
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 conve [...]
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 [...]
It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S.No, today the Germ [...]
Endor Labs, the application security startup backed by more than $208 million in venture funding, today launched AURI, a platform that embeds real-time security intelligence directly into the AI codin [...]
AI start-up Inception just secured $50 million in fresh capital. The round was led by Menlo Ventures, with backing from Microsoft’s M12, Nvidia, Databricks, and Snowflake.<br /> The article In [...]
Inception is back in the AI race with $50 million in new funding and a bold bet on diffusion models for text and code. Its new Mercury model promises to outpace and undercut traditional LLMs on both s [...]
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI mode [...]
The tenth generation of the Apple Watch came and went without much fanfare last year, and the arrival of the Series 11 is similarly subdued. Not much appears to have changed with Apple’s smartwatch, [...]
To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to prov [...]