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AI startup Creao AI has completed two rounds of funding, totaling several million dollars, led by top-tier venture capital firms such as Monolith. The company focuses on developing the next-generation operating system Agentic OS (AOS), centered around AI Agents, which can generate full-stack intelligent applications through conversation. Founder Cheng Kai stated that AOS will build a digital production network and improve the efficiency of multi-agent collaboration. Investors believe that AOS will reshape human-computer interaction and lower the technical barriers. The team comes from tech giants such as Meta and Apple, and the funding.

Julius AI secures $10M seed funding led by Bessemer, with multiple top firms participating. Founder Rahul Sonwalkar, a YC alum, pivoted to AI data analytics, creating a tool that allows natural language queries for instant visual results. Used by Harvard professors and 2M+ users, generating millions of charts daily. Ex-Twitter viral fame founder now focuses on data innovation.....

Julius AI, an AI data analytics firm, raised $10M in seed funding led by Bessemer Venture Partners. Founded by Rahul Sonwalkar post-Y Combinator, it enables natural language data analysis with 2M users and 10M+ visualizations. Used in Harvard Business School, it simulates analyst conversations for data insights.....

Startup Pig.dev has abandoned its AI-powered Windows desktop agent initiative and is now focusing on developing the AI cache system Muscle Mem, aiming to address efficiency issues in AI agents handling repetitive tasks. This shift has drawn industry attention as it addresses a core challenge in AI automation. YC partners have advised focusing on browser or operating system automation, similar to the company Browser Use, which is also exploring web-based AI agent solutions. Although Microsoft has already entered this field, Pig's case demonstrates that the practical application of AI requires balancing technology with market demands.

New malware LameHug uses Alibaba Qwen2.5 large model to attack Windows systems, spreads through email attachments, and can dynamically generate data stealing instructions. The software collects system information and steals sensitive files, with multiple variants already discovered. Experts warn that this is the first publicly known AI-based malware and recommend users to remain vigilant and update their protection measures.

A Chinese team has released the open-source AI operating system NeuralOS, which realizes the GUI concept for the AI era proposed by Karpathy. The system uses two modules, RNN and neural renderer, to predict and simulate the Windows operating interface in real-time, accurately displaying user operation feedback. The development team trained the system using a large number of operation videos, and it can currently accurately predict user operations, but still has limitations in handling fast keyboard input. NeuralOS already offers an online trial version, showcasing a new experience of an AI-generated operating system. As the code...

BAAI released RoboBrain2.0 (32B) and RoboOS2.0 framework. RoboBrain2.0 excels in spatiotemporal cognition and complex tasks, while RoboOS2.0 is the first embodied AI SaaS framework supporting lightweight deployment and multi-robot collaboration. Both are now open-source.....

Microsoft open-sources the Phi-4-mini-flash-reasoning model, specifically designed for edge devices, with inference efficiency improved by 10 times. It uses an innovative SambaY architecture to achieve efficient memory sharing, showing outstanding performance in long text generation and mathematical reasoning. Benchmark tests show its excellent long context understanding ability, with a Phonebook task accuracy rate of 78.13%. This model is suitable for educational and research fields and can run on a single GPU.

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.

Musk announces Grok4 AI model launch on July 11, sparking debates on AI ethics due to controversial 'politically incorrect' responses. New rules require multi-source analysis and evidence-based disputes.....

Recently, an AI Excel assistant called Shortcut has sparked heated discussions on social media. It enables users to effortlessly complete Excel tasks without writing complex formulas or VBA code through natural language processing (NLP) technology. The AIbase editorial team has compiled the latest information from social media to provide an in-depth analysis of Shortcut's powerful features and its potential impact on the fields of data processing and financial modeling. Shortcut: An Excel Revolution Driven by Natural Language

Microsoft officially announced the release of a new device-side small language model (SLM), Mu, specifically designed for the settings application in Windows 11 to create an intelligent AI agent. This marks a significant breakthrough in localized AI technology within operating system interactions. As a compact and efficient model, Mu runs through deep optimization on the neural processing unit (NPU), providing users with a low-latency, high-privacy natural language interaction experience. AIbase has compiled the highlights and industry impact of Mu, taking you on a journey to explore its features. Mu: Designed Specifically for Windows Settings

This morning, Microsoft officially announced its latest innovative small-parameter model, Mu. This model has only 330 million parameters, yet it can match the performance of Microsoft's previously released Phi-3.5-mini, while being just one-tenth the size of Phi-3.5-mini. More notably, Mu can achieve a response speed of over 100 tokens per second on offline NPU laptops, which is a rare breakthrough in the field of small-parameter models. A major highlight of the Mu model is its support for setting intelligent features in Windows.