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

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

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

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 ...

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

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

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

Capability gains keep widening the number of harm pathways, while real-world visibility into misuse grows much more slowly.

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

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 ...

The report’s most bracing shift from the year before comes through a simple pattern: capability gains keep widening the number of harm pathways, while real-world visibility into misuse grows much more ...