
Meta Releases Muse Spark, Its First Proprietary AI Model to Challenge ChatGPT and Gemini
Meta launches Muse Spark, a closed proprietary AI model with tiered reasoning and 3B+ user reach across WhatsApp, Instagram, and Quest VR.
Key Takeaways Alibaba launches Qwen3-Max, its largest AI model with over 1 trillion parameters, marking a significant milestone in Chinese AI development. CEO Eddie Wu announces plans to increase AI s...

Chinese e-commerce giant Alibaba made headlines Wednesday with the unveiling of its most powerful artificial intelligence model to date and commitments to dramatically expand AI investments, signaling the company's aggressive push to compete with global tech leaders in the rapidly evolving AI landscape.
At the company's annual Apsara Conference in Hangzhou, Zhou Jingren, chief technology officer at Alibaba Cloud, announced the launch of Qwen3-Max, Alibaba's largest ever artificial intelligence language model containing more than 1 trillion parameters.
Parameters are variables that determine how an AI system processes information, with higher counts typically indicating more sophisticated capabilities.
The model shows particular strength in code generation and autonomous agent capabilities, requiring fewer human prompts than chatbots like ChatGPT and can make decisions and take action independently towards a goal set by the human user, according to Zhou.
Alibaba cited third-party benchmarks, such as Tau2-Bench, saying the model outperformed rival products including Anthropic's Claude and DeepSeek-V3.1 in certain metrics.
The company also introduced Qwen3-Omni, a multimodal system designed for virtual and augmented reality applications including smart glasses and intelligent vehicle cockpits.
Chief Executive Officer Eddie Wu anticipates overall investment in artificial intelligence accelerating to some $4 trillion worldwide over the next five years, and Alibaba needs to keep up. Speaking at the developer conference, Wu announced plans to expand beyond the company's February commitment.
"The industry's development speed far exceeded what we expected, and the industry's demand for AI infrastructure also far exceeded our anticipation," Wu told a developer conference in Hangzhou on Wednesday.
"We are actively proceeding with the 380 billion investment in AI infrastructure, and plan to add more."
The original commitment, announced in February 2025, allocated 380 billion yuan ($53 billion) for AI models and infrastructure development over three years.
The company will soon add to a plan laid out in February to spend more than 380 billion yuan ($53 billion) developing AI models and infrastructure over three years, Wu said.
Investors reacted positively to the announcements, with Alibaba's shares rising as much as 7.2% in Hong Kong, helping lift Chinese chipmakers ACM Research (Shanghai) Inc. as much as 15% and NAURA Technology Group Co. 10%.
The company's AI focus is already showing financial results. In the most recent quarter, the Hangzhou-based company reported triple-digit growth in its AI-related products. Its cloud division also posted a better-than-expected 26% jump in sales, making it the group's fastest-growing unit.
From Huawei Technologies Co. to Tencent Holdings Ltd., China's biggest tech companies are pouring unprecedented sums of money into AI.
They join a wave of spending by American counterparts from OpenAI to Meta Platforms Inc. seeking to build and popularize a technology with the potential to transform economies and even tip the world's geopolitical balance.
Total capital expenditure on AI infrastructure and services by Alibaba, Tencent, Baidu Inc. and JD.com Inc. could top $32 billion in 2025 alone, according to Bloomberg Intelligence. That's a big jump from just under $13 billion in 2023.
The investment surge comes as Chinese companies face challenges accessing advanced AI chips due to U.S. export restrictions.
Beijing is pushing the country's firms to wean themselves off Nvidia Corp.'s AI processors, which are needed to train advanced models, creating urgency for domestic chip development.
The Qwen model family has achieved remarkable adoption globally. According to previous company statements, the Qwen series has been downloaded over 300 million times across platforms like Hugging Face and ModelScope, with over 100,000 derivative models created by developers worldwide.
Wu also talked about hardware innovations that Alibaba is working on, including chips and faster computers and networking, all pivotal components of datacenters.

Meta launches Muse Spark, a closed proprietary AI model with tiered reasoning and 3B+ user reach across WhatsApp, Instagram, and Quest VR.

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