Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

Google recently released DiffusionGemma, and it's weird in the best way.

Anthropic’s Fable mirrors restricted Mythos with safety guardrails, showcasing powerful AI capabilities while limiting ...

This technology is useful for experts but is being aimed at rookies who can’t tell true proficiency apart from an illusion of ...

India’s AI diffusion bet relies on voice interaction. But with numerous languages, dialects and multilingual speakers across ...

Today's State of Unreal keynote at Unreal Fest Chicago formally unveiled Unreal Engine 6 and confirmed Unreal Engine ...

The report’s most bracing shift from the year before comes through a simple pattern: capability gains keep widening the ...

Through targeted, company-specific actions, the US government has taken the unprecedented step of extending export controls to both ...

An AI technology company is suing the U.S. for what it said was the government's illegal use of export controls against Anthropic, arguing that the move exceeded the bounds of the Export Control ...