Grok4 to be released: Musk confirms X platform live stream on Wednesday night

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Published in AI News · 1 minute read · Jul 8, 2025

Elon Musk announced today that xAI's new generation large model, Grok4, will be released at 8 PM Pacific Time on Wednesday, which is 11 AM Beijing Time on Thursday. The launch event will be live-streamed on the X platform.

Musk previously mentioned last Friday that xAI has made "significant" improvements to Grok. The release of Grok4 is expected to further demonstrate xAI's latest advancements in the field of artificial intelligence.

Xbox Executive's Suggestion to Use AI to Deal with Layoff Emotions Sparks Controversy

Microsoft announced the global layoff of 9,000 employees. Xbox executive Matt Turnbull suggested that laid-off employees use AI tools like ChatGPT to cope with their emotions, which sparked controversy. He shared AI prompt templates to help with career planning, but the suggestion was criticized as distasteful. Netizens believe that AI cannot replace the emotional trauma caused by layoffs. This round of layoffs affects 4% of Microsoft's employees, and the gaming department may be hit the hardest. The incident reflects broader societal discussions on employee mental health support and the boundaries of AI application in the context of the current trend of layoffs in tech companies.

Google Open Sources MCP Toolbox for Databases: Unlock the Infinite Possibilities of AI and Databases with 10 Lines of Code

Google releases the open-source tool MCP Toolbox for Databases, simplifying the integration of AI agents with SQL databases. The tool connects to a database with just 10 lines of code and supports secure mechanisms such as connection pool management, authentication, and schema introspection. It is compatible with various Google Cloud databases. As an open-source project, it lowers the development barrier, but currently mainly supports Google ecosystem databases. Future expansion of compatibility may be needed. This tool has the potential to become a standard component for AI development, driving intelligent data processing.

One-click to HD! Hong Kong Polytechnic University Collaborates with OPPO to Open-source DLoRAL, Bringing Revolutionary Breakthroughs in Video Super-resolution

PolyU & OPPO developed DLoRAL, a video super-resolution framework using dual LoRA: CLoRA for temporal consistency and DLoRA for spatial details. Its two-stage training balances quality and speed (10× faster inference), with open-source code/models available. Limited in tiny text recovery but promising for real-time applications.....

DLoRAL: Open-Source Video HD Enhancement Framework Developed by Hong Kong Polytechnic University and OPPO

Hong Kong Polytechnic University and OPPO Research Institute jointly released the open-source video super-resolution framework DLoRAL, which generates high-definition videos in one step using diffusion models. The framework adopts a dual LoRA architecture: C-LoRA maintains temporal consistency between frames, while D-LoRA enhances spatial details. Through a two-stage training strategy, it optimizes temporal coherence and high-frequency information. Compared to traditional methods, DLoRAL improves inference speed by 10 times while maintaining smoothness, significantly enhancing image details, and providing an efficient open-source solution for video HD enhancement.

Geopolitical Tensions Impact: Global AI Server Shipments Expected to Decline Significantly

The growth rate of the global AI server market is slowing down, with the expected year-over-year growth rate dropping from 28% to 24.3%. Supply chain uncertainties have increased due to U.S. export controls and geopolitical factors. Despite continued investments by tech giants like Microsoft and Google in AI infrastructure, NVIDIA still dominates the market, but there is a clear trend of companies developing their own AI chips. Self-developed solutions such as Google's TPU are emerging, and companies are also exploring alternatives like AMD. While Blackwell Ultra servers are currently popular, the market outlook has become more complex due to external conditions.

Aliyun Open-Sources Network Agent WebSailor, Surpassing Numerous Closed-Source Models

Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.