News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
Alibaba released Qwen3.6-35B-A3B, an open AI model that tops Google's Gemma 4-31B across agentic coding benchmarks like SWE-bench Verified at 73.4 versus 52.0. The mixture-of-experts model uses only three of its 35 billion parameters at once to reduce compute costs. It also performs well on reasoning tests and matches Claude Sonnet 4.5 in some multimodal areas.
US startup Physical Intelligence released π0.7, a robot foundation model that recombines trained skills much like language models handle text. Built on Google's Gemma3 with added contextual data, it matches specialist models on tasks and transfers to new robots. The approach raises questions about true generalization versus remixing similar training examples, echoing debates in large language models.