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Recently, a move by Meta founder Mark Zuckerberg has drawn significant attention. Disappointed with the performance of the company's latest open-source large model, Llama4, Zuckerberg has decided to personally form a brand-new 'Superintelligence Team' in an effort to regain competitive advantage in the field of artificial intelligence. The goal of this new team is to achieve general artificial intelligence (AGI), making machines reach human-level performance across multiple tasks. According to insider sources, Zuckerberg has prioritized the formation of the new team and has already established a group called

At the recent annual general meeting held at Meituan headquarters in Hengdian Building in Beijing, founder Wang Xing made a systematic exposition of the company's strategic layout and development plan in the field of artificial intelligence for the first time, revealing the deep thinking and bold practice of Meituan in the AI wave. Wang Xing divided Meituan's AI development into different stages. In the early stage, the company had already applied deep neural network algorithms in its food delivery route and dispatch systems. The current phase focuses on the development and deployment of large language models and their derivative applications. Facing fierce competition in the AI field, Meituan has carried out...

At the BITA Conference held today in 2025, the Beijing Academy of Artificial Intelligence formally released the Wu World series of large models, comprehensively showcasing its latest research results and strategic layout in the direction of physical general artificial intelligence (AGI). The Wu World series aims to break through the boundary between virtual and real worlds and empower the physical world, covering four cutting-edge models: the multi-modal world model Emu3, brain science model Jianwei Brainμ, embodied intelligence brain RoboBrain 2.0, and microscopic life model OpenComplex2, constructing a framework from...

OpenAI has officially released a large dataset designed to evaluate the ability of large language models to answer questions in the healthcare field. This project is named HealthBench, and experts have highly praised this open-source data and detailed evaluation criteria, calling it "unprecedented" in scale and breadth. Image source note: The image was generated by AI, and the image authorization service provider is Midjourney. The HealthBench project marks OpenAI's first attempt in the healthcare sector.

According to Bloomberg, Manus AI, a general-purpose AI agent from Chinese startup Butterfly Effect, has secured $75 million in funding. This translates to approximately 547 million RMB and was led by Benchmark, a prominent US venture capital firm, with participation from existing investors. This round catapults Butterfly Effect's valuation to nearly $500 million, a fourfold increase, reflecting strong market confidence in its product. Image note: Image generated by AI, image rights reserved.

Baidu has recently unveiled another breakthrough in AI with the launch of 'Xinxiang', a multi-agent collaboration application, and is accelerating the public adoption of 'Miaoda', injecting new vitality into AI application development. Since its debut at Baidu World Conference in November last year, 'Miaoda' has garnered significant attention for its no-code programming, multi-agent collaboration, and multi-tool invocation capabilities. In March this year, 'Miaoda' was officially opened to the public, enabling anyone to quickly generate applications through simple voice commands or text input. Baidu founder Robin Li stated: 'Globally, less than...'

Kortix-AI has officially launched Suna, an open-source general-purpose AI agent platform positioned as an open-source alternative to the popular AI tool Manus. According to AIbase, Suna integrates browser automation, file management, web scraping, enhanced search, command-line execution, website deployment, and API integration, enabling the automation of complex tasks through natural language conversations. The project is now live on GitHub and has quickly become a focal point for AI developers and automation enthusiasts due to its powerful feature set and open-source nature.

With the rapid advancement of AI technology, predictions about the future are increasingly captivating. The newly released AI2027 scenario report, compiled by a team of researchers and forecasting experts from OpenAI, the Center for AI Safety, and other institutions, provides detailed predictions for the next 2-3 years, outlining upcoming technological milestones in the field of artificial intelligence. Image note: Image generated by AI, image licensing provider Midjourney. The report makes a striking prediction: the achievement of Artificial General Intelligence by 2027.

A new Gartner report predicts that by 2027, enterprises will utilize task-specific AI models three times more frequently than general-purpose large language models. While acknowledging the strong language processing capabilities of general-purpose models, the report highlights their decreased accuracy in tasks requiring deep understanding of specific business domains. Consequently, businesses are increasingly focusing on customized AI models to meet their unique needs. Image note: Image generated by AI, image licensing provided by Midjourney.

Innovation in AI-powered image generation continues at a rapid pace. Hugging Face recently launched VisualCloze, a new tool utilizing Visual In-Context Learning, marking a significant advancement in general image generation frameworks. AIbase, through analysis of recent social media activity, provides an in-depth look at this tool's highlights and potential, offering readers a firsthand report.

Google DeepMind recently released a comprehensive strategic document outlining its approach to developing safe Artificial General Intelligence (AGI). AGI is defined as a system capable of matching or exceeding human capabilities in most cognitive tasks. DeepMind anticipates that current machine learning approaches, particularly neural networks, will remain the primary path to achieving AGI. The report notes that future AGI systems could potentially surpass human performance and exhibit significant autonomy in planning and decision-making. This technology will have implications for healthcare...

On March 12th, the tech world was once again ignited by the Chinese AI newcomer, Manus. According to ManusAI, since the product's launch on March 6th, within just 7 days, 2 million people globally have joined the waitlist. This world's first general-purpose AI Agent, created by a Chinese team of 90s-born individuals led by Monica, has sparked heated discussions with its powerful capabilities surpassing traditional AI assistants. Manus not only provides suggestions or answers questions but also delivers complete task results directly, earning it the title of the perfect combination of mind and hand.

The general-purpose AI agent product Manus, launched recently, has attracted a large number of users vying for invitation codes. While its performance has garnered much attention, there's also significant interest in the technology behind Manus. Besides numerous teams attempting to replicate Manus, a user named Jian recently cracked the Manus system. By simply requesting Manus to output the contents of the directory '/opt/.manus/', they successfully obtained some sensitive information and operational data.

At the recent Human [X] conference, Mike Krieger, Chief Product Officer at AI startup Anthropic, revealed the company has no plans to enter the hardware or consumer entertainment market. Instead, Anthropic is concentrating on developing general foundation models for enterprise use. As the developer of Claude AI, Anthropic, backed by Amazon and Google, aims to provide practical AI solutions across various industries. Krieger stated that Anthropic...