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Baidu open-sourced Wenxin 5.5 Flash, with a total parameter of 280 billion

Baidu has open-sourced the ERNIE-5.5-Flash-Base model weights. Following the release of the ERNIE 4.5 series in June 2025, Baidu has once again open-sourced a large model with hundreds of billions of parameters after approximately 16 months, during which the ERNIE 5.0 and 5.1 versions were not open-sourced. The ERNIE 5.5 Flash focuses on inference efficiency, with a total of 280 billion parameters, activating only 14 billion parameters for each generated token, and using 33.5 trillion tokens for zero pre-training.This model supports a maximum inference context of 1 million tokens. Baidu has redesigned the long text processing mechanism, with 37 out of 43 layers compressing every 128 historical tokens into a single cache record, while the remaining 6 layers retain fine retrieval capabilities for the original content, reducing the memory and computational overhead of long text processing. The official evaluation was conducted in conjunction with DeepSeek-V4-Flash-Base, Tencent Hy3-preview-Base, and Xiaomi MiMo-V2.5-Base, ranking first in 24 out of 30 benchmark tests.What is being opened this time is a pure text Base model that has not undergone intermediate training or post-training, mainly for developers to continue domain fine-tuning, instruction training, and reinforcement learning. Baidu stated that the post-trained ERNIE 5.5 Flash will be released subsequently. The license is stricter than the previous generation; the ERNIE 4.5 used the Apache 2.0 protocol, while 5.5 Flash has switched to a custom license that does not authorize use in the European Union, the United Kingdom, and South Korea; for related products or services that have generated over 50 million dollars in revenue in the past 12 consecutive months, separate written authorization from Baidu must be obtained before commercial use.

first_img Apple Smart Beta Open Testing, Qianwen Can Relay Siri Tasks

In the early morning of November 4, Apple opened testing for the latest iOS developer Beta version. According to Caixin, users can directly access the text and image understanding, content generation, and other capabilities of Alibaba's artificial intelligence application Qianwen through Siri, writing tools, and visual intelligence. Journalists found that users can complete basic Q&A, image-text analysis, and content generation on their iPhones, and further needs can be redirected to the Qianwen App, with conversation information automatically synchronized.Users can choose whether to enable the Qianwen integration feature. Once activated, they can log in using their Apple ID or their own Qianwen App account, and use Qianwen within Siri, visual intelligence, and writing tools. When journalists inquired about methods to improve sleep, Siri called Qianwen to provide general suggestions; for more personalized plans, users could click the Qianwen icon to jump to the Qianwen App, which analyzes influencing factors based on previous sleep records, exercise conditions, and lifestyle habits to formulate improvement plans.Visual intelligence supports the option "Ask Qianwen" to identify items or scenes in images, for example, first asking Siri about clothing brands, then jumping to the Qianwen App to find the same style on Taobao and place an order. The "Qianwen Creation" feature in the writing tool can generate content based on requirements and adjust tone and length, such as retaining the time and place in an event invitation or compressing it into a brief notification for easy forwarding. Currently, users in China who purchase iPhones that support Apple intelligence, or whose device location and Apple account country and region are both set to China, can experience related features through this developer Beta version.

Qianwen had 158 million monthly active users in September, a year-on-year increase of 5077%, a decrease of about 9 million compared to June

According to the latest rankings from QuestMobile, in September 2026, Alibaba's AI application Qianwen App reached 158 million monthly active users, a year-on-year increase of 5077%, ranking first in growth among apps with over 100 million monthly active users. In the domestic AI native app rankings, Qianwen ranks second, surpassing DeepSeek's 123 million, but still below the first place, Doubao, which has 419 million.This growth is related to Alibaba's large-scale promotion. In November last year, the Tongyi App was renamed to Qianwen. This Spring Festival, Alibaba announced an investment of 3 billion yuan to launch a free order campaign, allowing users to order milk tea and takeout through AI. The campaign link was widely shared in WeChat groups, and the system experienced delays due to increased traffic. QuestMobile data shows that on the first day of the campaign, Qianwen's daily active users rose from about 7.06 million to 58.48 million.The year-on-year growth of 5077% was also influenced by last year's low base. Based on year-on-year data, Qianwen's monthly active users were about 3.05 million in September last year. By March this year, Qianwen's monthly active users had reached 166 million, rising to 167 million in June, and then falling back to 158 million in September, a decrease of about 9 million compared to June, with a decline rate of approximately 5.4%.

first_img ByteDance's commercialization head of GenAI, Wen Shilei, has been reported to leave and may join Octopus Power

Beating AI news reports that Wen Shilei, the head of ByteDance's commercialization GenAI R&D, has recently left the company, with his next stop likely being the embodied intelligence company Octopus Power, where he will serve as a partner. Wen Shilei joined Baidu in 2011, previously serving as the head of visual technology and chief architect of the smart city division, and has won Baidu's highest award twice. After moving to ByteDance in 2021, he initially focused on digital humans, XR, and other technologies, and later took charge of engineering R&D for generative AI in commercial scenarios such as advertising.This business line has recently lost several core leaders. Former head of the commercialization GenAI department, Peng Bingyue, left in July this year and subsequently joined Google; the former head of the China region, Yuan Zehuan, also left in July to pursue a startup in world modeling. With Wen Shilei's departure, the remaining team members have been reassigned to other departments.Octopus Power was founded in January 2026 by former Horizon and Jianzhihui Robotics executive Du Dalong, primarily developing world models for robots, dexterous hands, and data collection systems, having raised nearly 1 billion yuan in total financing by June this year. On October 15, Octopus Power confirmed that co-founder Liang Zhujin will leave; Liang Zhujin previously oversaw post-training and data operations, and it is currently unclear whether Wen Shilei will take over related responsibilities.

first_img World launched the banking version of World ID suite, and Zoom's deepfake detection officially went live

The identity project World, co-founded by OpenAI CEO Sam Altman, announced the launch of a World ID verification product suite aimed at banks and financial institutions, marking the first industry-specific version of the identity protocol. World co-founder Alex Blania unveiled the product at the Money20/20 conference. The suite integrates three existing products, and World claims it can help institutions guard against deepfake fraud and AI-driven identity theft, covering scenarios such as customer accounts, employee workflows, and AI agents.Specifically, the World ID app is an identity wallet used to store and present what World refers to as user Proofs. World ID for Zoom allows call participants to confirm that the other party is a real person and not a deepfake; this feature has officially launched after a limited testing phase that began in April. World’s main developer, Tools for Humanity, has also joined Zoom's Independent Software Vendor Exchange Program. World ID for Agents, also known as AgentKit, allows users to delegate Proofs to AI agents, which present them to third-party platforms.World stated that it is collaborating with OpenExchange, Bain Capital, VanEck Funds, and Outtake as design partners to explore how its technology can support banks and financial services, but did not disclose specific bank names or pricing for the product. A press release cited a Deloitte forecast predicting that by 2027, AI-related fraud losses in the U.S. could reach $40 billion, up from approximately $12.3 billion in 2023. World claims that over 18 million people currently hold Proof of Human. Last month, World also launched the World Money self-custody app, supporting stablecoin payments in over 150 countries; in July, World Foundation raised $52.5 million through a WLD token sale, with a lock-up period of one year.
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