China’s Ant Group is using local semiconductors to train AI at a cost that is 20 percent less than companies typically spend, according to reports. Ant used domestic chips — from companies including Alibaba, an investor in Ant, and Huawei — to launch a unique Mixture of Experts (MoE) training approach that produced results commensurate to training with Nvidia H800 chips. Ant is the latest Chinese company to focus on low cost training, joining a competition triggered by DeepSeek, which in January announced it could build AI comparable to the models released by U.S. companies like OpenAI, Anthropic and Google for billions less. Continue reading Ant Group Stacks Chips to Reduce Development Costs for AI

Alibaba Cloud has released Qwen2.5-Omni-7B, a new AI model the company claims is efficient enough to run on edge devices like mobile phones and laptops. Boasting a relatively light 7-billion parameter footprint, Qwen2.5-Omni-7B understands text, images, audio and video and generates real-time responses in text and natural speech. Alibaba says its combination of compact size and multimodal capabilities is “unique,” offering “the perfect foundation for developing agile, cost-effective AI agents that deliver tangible value, especially intelligent voice applications.” One example would be using a phone’s camera to help a vision impaired-person navigate their environment. Continue reading Alibaba’s Powerful Multimodal Qwen Model Is Built for Mobile

Alibaba Group has revamped its Quark search engine as an AI “super assistant” powered by its flagship Qwen reasoning model. Quark had previously relied on a model called QuarkLLM. The new iteration features a chatbot, deep thinking and agentic capability, Alibaba says. The company also debuted R1-Omni, a model it says has emotional intelligence. Included in the flurry of Alibaba news: a strategic partnership with Chinese startup Butterfly Effect, the company behind the new AI agent Manus. The moves are part of a surge of Chinese AI tech coming to market as the country asserts itself in the space. Continue reading Alibaba Updates Quark, Debuts R1-Omni, Secures Manus Pact

Alibaba is making AI news again, releasing another Qwen reasoning model, QwQ-32B, which was trained and scaled using reinforcement learning (RL). The Qwen team says it “has the potential to enhance model performance beyond conventional pretraining and post-training methods.” QwQ-32B, a 32 billion parameter model, “achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters (with 37 billion activated),” Alibaba claims. While parameters refer to the total set of adjustable weights and biases in the model’s neural network, “activated” parameters are a subset used for a specific inference task, like generating a response. Continue reading Alibaba Says Qwen Reasoning Model on Par with DeepSeek

Alibaba Cloud has released the latest entry in its growing Qwen family of large language models. The new Qwen with Questions (QwQ) is an open-source competitor to OpenAI’s o1 reasoning model. As with competing large reasoning models (LRMs), QwQ can correct its own mistakes, relying on extra compute cycles during inference to assess its responses, making it well suited for reasoning tasks like math and coding. Described as an “experimental research model,” this preview version of QwQ has 32-billion-parameters and a 32,000-token context, leading to speculation that a more powerful iteration is in the offing. Continue reading Qwen with Questions: Alibaba Previews New Reasoning Model

A new LLM framework evaluates how well generative AI models are meeting the challenge of compliance with the legal parameters of the European Union’s AI Act. The free and open-source software is the product of a collaboration between ETH Zurich; Bulgaria’s Institute for Computer Science, Artificial Intelligence and Technology (INSAIT); and Swiss startup LatticeFlow AI. It is being billed as “the first evaluation framework of the EU AI Act for Generative AI models.” Already, it has found that some of the top AI foundation models are falling short of European regulatory goals in areas including cybersecurity resilience and discriminatory output. Continue reading ‘EU AI Act Checker’ Holds Big AI Accountable for Compliance