The open‑weight large language model Qwen, developed by Alibaba, is rapidly gaining global traction. Its ease of download and modification has led to integration across a range of products, from smart glasses to vehicle dashboards, and adoption by companies such as Rokid, BYD, Airbnb, Perplexity, Nvidia, and even Meta. The model’s popularity contrasts with the lukewarm reception of recent U.S. releases like GPT‑5 and Llama 4, highlighting a shift toward openly shared AI research in China and a broader impact measured by real‑world usage rather than narrow benchmarks. Leer más →

A joint study by MIT, Northeastern University and Meta reveals that large language models can rely heavily on sentence structure, sometimes answering correctly even when the words are nonsensical. By testing prompts that preserve grammatical patterns but replace key terms, the researchers demonstrated that models often match syntax to learned responses, highlighting a potential weakness in semantic understanding. The findings shed light on why certain prompt‑injection techniques succeed and suggest avenues for improving model robustness. The team plans to present the work at an upcoming AI conference. Leer más →

Nvidia announced a new open‑source vision‑language model called Alpamayo‑R1 at the NeurIPS AI conference. Designed for autonomous‑driving research, the model builds on Nvidia’s Cosmos‑Reason architecture and aims to give self‑driving systems common‑sense reasoning. Nvidia also released a set of developer guides known as the Cosmos Cookbook, and made the model available on GitHub and Hugging Face. Executives highlighted the importance of physical AI for the next wave of robotics and autonomous technologies. Leer más →