Inception released Mercury 2.5, which it calls the most capable diffusion LLM on the market and the largest it has ever trained, reporting a 40% intelligence gain over Mercury 2 at 1,107 tokens per se…
Latency, not intelligence, is now the primary bottleneck for interactive AI applications, according to a blog post by smiz that argues models must respond within 100ms to enable real-time interfaces. …
Diffusion language models, which generate entire sequences at once and iteratively refine them, have become competitive with autoregressive models on quality since 2024, with releases from Inception L…
Celeris, a new AI research lab backed by Lightspeed Venture Partners, has released Celeris-1, a language model built on diffusion architecture that claims to generate output 24 times faster than GPT-5…
NVIDIA released the 30B-parameter Nemotron-Labs TwoTower language model on July 1 that achieves 2.42x faster inference than its autoregressive baseline without retraining from scratch, by splitting a …
Claude Opus 5 (Adaptive Reasoning, Max Effort) leads the Artificial Analysis Intelligence Index with a score of 61, out of 170 models evaluated, according to Artificial Analysis. The top five models a…
Inception Labs' Mercury 2 diffusion language model outperforms Google DeepMind's DiffusionGemma on reasoning benchmarks while achieving parallel text generation speeds of over 1,000 tokens per second.…