During the 2024 World Internet Conference held today in Wuzhen, Honor CEO Zhao Ming shared his vision for the future development of mobile phones. He stated that by 2027, phones are expected to be able to incorporate large AI models with 100 billion parameters. This advancement will enable phones to learn, understand, and predict user behaviors and intentions, thereby providing users with more personalized arrangements for their lives and work. Image source note: Image generated by AI, image authorized by service provider Midjourney. Currently, several phones on the market are equipped with models of similar scale.

In the field of generative AI, Apple's efforts seem to be primarily focused on mobile devices, especially the latest iOS 18 system. However, the new Apple M4 chip demonstrates powerful performance in the recently released Mac Mini and MacBook Pro, enabling effective local operation of the most powerful open-source large language models (LLMs) available today, such as Meta's Llama-3.1405B, Nvidia's Nemotron70B, and Qwen.

Microsoft recently announced the launch of a series of artificial intelligence (AI) models specifically designed for the manufacturing, agriculture, and financial services sectors. These models have been developed in collaboration with renowned companies such as Siemens, Bayer, and Rockwell Automation, aiming to integrate advanced AI technology into industries that have long relied on traditional methods. The newly launched dedicated models are now available in Microsoft's Azure AI catalog, marking a significant step for Microsoft in developing AI tools that meet the unique needs of different industries. This initiative reflects Microsoft's commitment to advancing.

Recently, a new study indicated that even advanced AI language models, such as OpenAI's latest o1-preview, struggle with complex planning tasks. This study was conducted by scientists from Fudan University, Carnegie Mellon University, ByteDance, and Ohio State University, testing the performance of AI models on two planning benchmarks: BlocksWorld and TravelPlanner. In the classic planning scenario of BlocksWorld...

The social networking platform X (formerly Twitter) updated its privacy policy on Wednesday, sparking widespread attention and discussion. The new policy indicates that X will, by default, allow third-party "partners" to use platform data to train AI models unless users actively choose to opt out. This move not only highlights X's efforts to seek new revenue sources but also raises concerns regarding user data privacy protection. Key changes in the new policy include: Third-party data usage: New terms allow third-party partners to use X user data, including for AI model training. Users have the option to choose.

French AI startup Mistral has recently announced the launch of a new series of generative AI models, specifically designed for edge devices such as laptops and mobile phones. Mistral has named this series 'Les Ministraux' to meet the growing demand for local processing and privacy-first solutions. The newly released Les Ministraux series includes two models: Ministral3B and Ministral8B.

Recently, an AI model compliance checking tool developed by the Swiss startup LatticeFlow has drawn widespread attention. The tool tested generative AI models developed by several major tech companies, including Meta and OpenAI, revealing significant shortcomings in key areas such as cybersecurity and biased outputs. Image source note: The image was generated by AI, licensed by image service provider Midjourney since OpenAI released ChatGPT at the end of 2022.

Recently, Japan-based startup Rhymes AI unveiled their first artificial intelligence model — Aria. The company claims that Aria is the world's first open-source multimodal mixture of experts (MoE) model. This model not only possesses the capability to handle various input modalities but also claims to be on par with, or even superior to, several well-known commercial models. The design philosophy of Aria aims to provide exceptional understanding and processing capabilities across diverse input forms including text, code, images, and videos.

Li Feifei's startup World Labs announced an agreement with Google Cloud to choose Google Cloud as its primary computing provider for training AI models. The deal could be worth hundreds of millions of dollars. World Labs will utilize the GPU server capabilities on the Google Cloud platform to provide computational services for its large multimodal AI models. The company's AI model is referred to as 'Spatial Intelligence', capable of processing and managing various data.

Recently, Apple's AI research team launched their next-generation family of Multimodal Large Language Models (MLLMs) - MM1.5. This series of models can integrate various data types such as text and images, showcasing new capabilities of AI in understanding complex tasks. Tasks like visual question answering, image generation, and multimodal data interpretation can be better addressed with the help of these models. A major challenge for multimodal models is how to achieve effective interaction between different data types. Previous models often struggled in this aspect.

Meta has recently confirmed that photos and videos taken by users using Ray-Ban Meta smart glasses may be used to train its AI models. This practice has raised concerns as users may not be aware that they are providing Meta with a substantial amount of images for training its AI models, which could include their home interiors, family members, or personal documents. Emil Vazquez, Meta's policy communications manager, stated that in regions where multimodal AI is available, ...

Cohere recently announced the launch of its next-generation application programming interface (API) for AI models, referred to as API V2, which includes models such as Chat, Embed, Rerank, and Classify. Cohere has made it clear that this update is aimed at better aligning with industry standards to facilitate developers in switching their applications to Cohere's models, especially in comparison to OpenAI, Anthropic, Google, and others.