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01 / AI News

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Vals AI research: The political stance of Chinese AI models is more complex than expected and not merely that of government mouthpieces | AI News | HotAI.news

Vals AI tested Chinese and foreign models with hundreds of questions involving China, discovering that the 'pro-government tendency' of Chinese models was generally lower than expected."Pro-government leaning"Overall performance fell short of expectations, with significant variations across models. GLM-5.3 Flash even explicitly acknowledged that evidence exists regarding China's human rights issues. Prompt language had a marked impact: asking in Simplified Chinese was more pro-government than using English, Russian, or Spanish; this trend held true for both US and Chinese models, though it was more pronounced in the latter.

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01Terence Tao criticizes AI methods for solving math problems: The issue lies not in proof correctness.Rohan Paul shares Terence Tao's video perspective: Mathematicians' dissatisfaction with AI solving math problems is unrelated to the correctness of the proofs. Tao notes that while activity surrounding the Navier-Stokes equations is currently chaotic and will eventually recover to understanding the proof, this approach is highly undesirable. He calls this pattern irresponsible automated open-pit mining of problems—achieving immediate goals at the expense of the field's future development. The full video is on the New Scientist YouTube channel.↗02OpenAI imposes payment card and device limits on ChatGPT paid subscriptionsOpenAI has added payment card and device limits to ChatGPT paid subscriptions. Once a single card or device is bound to too many subscriptions, new ones cannot be created; when the limit is reached, the message 'Device limit reached' appears.↗03Google launches StreamVibe video agent to let AI decide when to speak up and help.Google, together with teams from Stanford and Oxford, launched the StreamVibe video agent. It can distinguish between what users say explicitly, what they haven't said yet, and changes in tasks mid-way, autonomously deciding when to speak up. Its StreamVibe-VL model is based on Qwen3.5-9B, with response timing and quality improved by 10.7% compared to other models, and its memory system improving active interaction by another 12.3%. Tests show that after videos exceed five minutes, all models struggle to grasp the right timing, with key content metrics based on their own historical answers dropping as much as 61.5%.↗
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