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On June 24, Faraday Future officially announced the launch of the FF AI2.0 intelligent cockpit operating system, which is the most significant cockpit upgrade since the release of the FF91 in 2023. The new system will be deployed to the FF91 2.0 model first through OTA software updates, and it is planned to be extended to the FX series in the future. FF AI2.0 features a complete restructuring of the entire AI architecture, with its biggest highlight being the deep integration with OpenAI. The system deeply integrates large language models (LLMs) into Faraday Future's software and hardware architecture.

Based on the Harmony Intelligent Body, the interaction mode between consumers and the Harmony system and applications will undergo a fundamental transformation. The Harmony Intelligent Body features system-level security, trustworthiness, and personalized controllability. It can achieve efficient collaboration among multiple intelligent bodies and natural transitions between multiple devices, thereby truly transforming the interaction mode from the traditional instruction-centered model to an intention-centered model.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...

Recently, OpenAI's ChatGPT has experienced some ups and downs, causing chaos among global users due to its downtime. The company quickly released the new-generation model — o3-pro. This upgraded model is more precise in handling complex problems and demonstrates significant advantages in scientific research, programming, education, and writing, becoming more intelligent and feature-rich. The o3-pro model is now available to Pro and Team users, replacing the original o1-pro, Enterp

During a recent live online event, OpenAI proudly announced that the number of paid commercial subscription users for ChatGPT has exceeded 3 million. This rapid growth highlights the strong appeal and extensive applications of artificial intelligence technology in the business sector. In just four months, an additional 1 million users have been added, clearly reflecting the increasing demand for intelligent chat tools. Since the launch of ChatGPT Enterprise in August 2023, various commercial products from OpenAI have been successively introduced.

With the rapid development of artificial intelligence, large models and algorithms have become core drivers of innovation across various industries. To regulate technological applications and encourage compliant development, provinces and cities across China have rolled out large model algorithm registration reward and subsidy policies, with the highest subsidy reaching 50 million yuan. This is a summary of the national policies for 2025. I. Policy Background and Significance: Large model registration and algorithm registration are crucial national initiatives to regulate generative AI technologies and algorithm recommendation services. Through registration, companies are required to disclose technical details, ensuring...

Recently, a collaborative effort between the Institute of Automation, Chinese Academy of Sciences, and the CASIA-Zidong Taichu team introduced Vision-R1, a novel method leveraging R1-like reinforcement learning to significantly enhance visual localization capabilities. This approach achieved a 50% performance improvement in complex tasks such as object detection and visual localization, surpassing existing state-of-the-art (SOTA) models with over ten times the parameter scale. Currently, large vision-language models typically rely on "pre-training + supervised fine-tuning" to improve responsiveness to user instructions, but this...

IBM on Monday launched its latest mainframe hardware, the IBM z17. This fully encrypted mainframe, powered by the IBM Telum II processor, is designed for over 250 AI use cases, including AI agents and generative AI applications. While mainframes may be considered legacy technology by some, 71% of Fortune 500 companies still use them, according to sources. According to market research firm Market Research Future, by 2024...