NVIDIA to Launch Blackwell B100 AI GPU in Q2 2024


The WeChat AI assistant 'Weixiao' has sparked controversy over privacy concerns and has topped the hot search list. WeChat clarified that claims about directly reading chat records or spying on privacy are inaccurate. The assistant is a native AI, currently in a limited beta test, supporting text and voice interaction, capable of checking weather, express delivery, and takeout. It can also proactively trigger in scenarios such as Moments, official accounts, chats, and short video sections to assist with content summarization.
The Gates Foundation will invest $1 billion over the next two years to promote the development of artificial intelligence, making cutting-edge technology benefit the poorest regions. Gates also shared his views on the global large model landscape, computing power carbon emissions, and Chinese humanoid robots, pointing out that according to different measures, there are currently four leading large model companies in both the US and China.
NVIDIA CEO Huang Renxun had a live call with U.S. President Trump at the All-In Summit in Los Angeles, where they discussed the pace of AI development and the controversy surrounding data center construction. The conversation was broadcast to the audience via speakers. Previously, the CEO of Anthropic, Amode, had called for slowing down artificial intelligence development, highlighting the industry's division on the speed of AI advancement.
Sam Altman, CEO of OpenAI, has expressed support for slowing down AI development to avoid advanced model capabilities exceeding human control. His views align with those of the CEO of Anthropic. He acknowledges that prioritizing safety comes at a cost, but it helps maintain public confidence and demonstrates that U.S. companies can take responsibility as they develop increasingly powerful AI.
Zhipu announced on September 13 that it has completed approximately $5 billion in financing, with funds primarily focused on the development of the next-generation GLM base model, fully self-trained system, and computing infrastructure. Zhipu will focus on "fully self-trained" as a core breakthrough direction, allowing the next-generation GLM to be trained in the intelligent environment built by its predecessor, forming a recursive self-improvement cycle.