Qwen3-Max-Thinking (qwen.ai)

Article summary

The article appears to discuss the release of Qwen 3 Max, a model that may not be open-source, and its potential performance compared to other models like Opus 4.5. Commenters are discussing the model's capabilities, its potential release, and the challenges of running large models on local machines. The conversation also touches on the topic of Chinese companies' progress in the AI field and their ability to catch up with Western companies. The discussion is based on the comments, as the original article is not available.

Main themes

• Qwen 3 Max release
• Model performance comparison
• AI development in China
• Local machine limitations
• Open-source models
• Compute power and energy generation

What commenters say

• Chinese companies are catching up with Western companies in AI development, but may always lag behind due to their reliance on training models on Western outputs.
• The performance difference between models may not be worth the cost for customers, making cheaper alternatives more attractive.
• Running large models on local machines is challenging due to memory constraints, and even with significant resources, the quality may not be comparable to cloud-based models.
• Some commenters believe that Chinese models are around 7-9 months behind US models, while others argue that they can still be competitive by using different capabilities and training methods.
• The release of Qwen 3 Max is anticipated, but its availability and pricing are unclear, with some commenters preferring alternative models or waiting for future releases.
• The use of open-source models is seen as valuable, but the quality may not be comparable to proprietary models, and the cost of running them can be prohibitive.
• The development of more efficient models and training methods is necessary to make AI more accessible and affordable for a wider range of users.