According to the new regulations,

With the increasing costs of cutting-edge model inference and high concurrency computing loads, leading AI companies are gradually ending the "high-spec free trial" phase.
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According to the new regulations,

With the increasing costs of cutting-edge model inference and high concurrency computing loads, leading AI companies are gradually ending the "high-spec free trial" phase.
Welcome to the [AI Daily] column! This is your daily guide to exploring the world of artificial intelligence. Every day, we present you with hot topics in the AI field, focusing on developers, helping you understand technical trends, and learning about innovative AI product applications.
Pangram Labs released the Pangram Image 1.0 image detection model and the Pangram Image Flash 1.0 video detection model on November 4, marking a higher-precision breakthrough in the identification of the authenticity of digital content. Image 1.0 uses 12 cutting-edge AI image generators and builds a 1,200-image test set based on 100 real images, achieving an accuracy of 99.96%, and can accurately locate AI-generated content through heatmaps.
At the 2026 Mobile Network Conference, Qualcomm CEO Amon said 6G is AI-native by design, not an add-on. AI should be integrated into the network itself, with context flowing across devices, edge, and cloud. Embedded AI can estimate and predict channel states, maintaining performance even with weak signals. Computing will be distributed network-wide, from base stations to edge and data centers.....
On November 6, according to Reuters, the parents of an American girl formally sued Google and its parent company Alphabet, directly pointing to gaps in campus AI oversight. The complaint states that their 13-year-old daughter had long used Gemini through a school-issued Chromebook and, over months of in-depth conversations, gradually planned suicide and funeral arrangements, yet the crisis went undetected. This case highlights the safety and ethical risks after AI entered educational settings and has prompted scrutiny of campus AI oversight.

Welcome to the [AI Daily] column! This is your daily guide to exploring the world of artificial intelligence. Every day, we bring you hot topics in the AI field, focusing on developers to help you gain insight into technology trends and learn about innovative AI product applications. Click to learn about new AI products: https://app.aibase.com/zh1. 1. Moonshot AI makes a big move! However, cross-platform collaboration and AI-generated content provenance mechanisms still need to be strengthened to curb the resurgence of illegal activities.

On November 4, Perplexity launched its "Teammate" feature, taking personal AI agents from one-off tasks to complex, ongoing work management. Building on Perplexity Computer's multi-model capabilities and accuracy, and following the Comet browser assistant, it can proactively monitor projects, coordinate across tools and teams, handle follow-ups, and remember project goals and context across multiple runs in marketing, sales, customer service, and operations.

The Taobao MNN team has open-sourced MNN-Pocket-0.3B, a lightweight large language model for mobile devices, with approximately 300 million parameters, specifically designed for mobile device resources and tasks. It delivers high-speed response and comprehensive capabilities comparable to the cloud with extremely low memory and energy consumption, and adopts an ultra-lightweight design that reduces its size by nearly half and keeps peak memory under 300MB, driving the deployment of large models on mobile phones.
At the 2026 World Internet Conference Wuzhen Summit, Charles Zhang was unusually candid, admitting that Sohu missed out on the mobile internet back then. Amid the entire industry's frenzied pursuit of large AI models, he explained why Sohu remains calm: missing out on the mobile internet led to limited resources; the large-model track requires competing on resources, and Sohu cannot afford it, so its AI investment is not aggressive. The article focuses on his reflections and Sohu's realistic considerations amid the AI wave.

Google DeepMind has released the multimodal video generation model Gemini Omni 1.2 Flash, with comprehensive upgrades in generation duration, visual consistency, multi-turn conversational modification, and API pricing. Key breakthroughs include: the duration of native video generation and editing clips has doubled, with the upper limit increased compared to the previous generation; optimized visual consistency; and support for multi-turn conversational editing and modification. This update will further advance AI video generation and editing capabilities.
Cyberspace authorities reported the results of a targeted crackdown on AI impersonation of public figures: more than 47,000 pieces of illegal and non-compliant information were removed, and 3,961 accounts were dealt with. Four typical categories were named, all aimed at monetization: unauthorized imitation of celebrities' likenesses and voices or theft of family members' photos for product promotion and traffic generation; theft of likenesses combined with AI effects to fabricate rumors such as illness and mislead the public; impersonating celebrities in the first person to express opinions and using emotional rhetoric to lure followers; generating footage of celebrities dancing vulgarly or engaging in intimate interactions to attract fans.