Ilya Sutskever's 30 Papers: The Reading List That Covers 90% of What Matters

SWE-1.7: A New Frontier AI Model Achieves High Performance at Reduced Cost

SWE-1.7 is a new AI model launched by a research team that achieves frontier-level intelligence at significantly lower cost. The model repre

DSpark: A Speculative Decoding Framework Using Semi-Autoregressive Generation and Confidence-Scheduled Verification for LLM Inference Acceleration

DSpark is a speculative decoding framework for Large Language Models (LLMs) that improves inference efficiency by combining semi-autoregress

Unlocking Speeds: How DeepSeek’s AI Revolutionizes Predictive Writing

NVIDIA Releases Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed LLM for Efficient Inference

NVIDIA has released Nemotron-Labs-3-Puzzle-75B-A9B, a deployment-optimized large language model derived from Nemotron-3-Super-120B-A12B. The

Qwen-AgentWorld-35B-A3B: A Language World Model for Multi-Domain Agentic Environment Simulation

Qwen-AgentWorld-35B-A3B is a native language world model designed for agentic environment simulation, covering seven agent interaction domai

MiniT2I: A Minimalist Baseline Challenging the Complexity of Text-to-Image Generation

This article presents MiniT2I, a minimalist baseline for text-to-image generation that challenges the prevailing notion that T2I models requ