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Elon Musk's xAI collected facial data from 200+ employees via Project 'Skippy' to train AI model Grok on emotion recognition, sparking privacy concerns. Employees recorded videos under permanent usage agreements. Meanwhile, xAI's virtual characters Ani/Rudi raised ethical debates over explicit content.....

Kuaishou and Shanghai Jiao Tong University announced the open-source multimodal generation model Orthus at the ICML conference. The model is based on an autoregressive Transformer architecture and demonstrates excellent performance in text-image conversion tasks, with significantly improved computational efficiency compared to existing models. Orthus uses a unique architectural design, separating processing of text and image features through specific modal generation heads, and efficiently fusing them in a unified representation space. Research shows that the model outperforms professional models in image understanding and text-to-image tasks, while also demonstrating strong potential in application scenarios such as image editing, making it a breakthrough in multimodal generation.

iFlytek launches Spark X1 upgrade on July 25, a Chinese AI model excelling in math, translation, and logic with fewer parameters but comparable to OpenAI/DeepSeek. Features improved accuracy, multilingual support (130+ languages), and precise responses via 'slow thinking' mode, marking a breakthrough in domestic AI tech.....

Alibaba will launch its first self-developed AI glasses this week, integrating features such as voice assistant and real-time translation, deeply integrated with Alibaba's ecosystem including Gaode and Alipay. The product uses a dual-chip architecture of Qualcomm and Horizon. It comes in a standard version and a display (AI+AR) version. This is Alibaba's first product after integrating its AI business, led by a former Huawei architect. Industry experts believe that Alibaba, leveraging its ecosystem advantages, has the potential to break through the current bottlenecks in the AI glasses market and drive the product into the mass consumer market. With major players like Xiaomi and Baidu entering the field, 2025 may become a key turning point for the development of AI glasses.

Amazon Cloud Technology Shanghai AI Research Institute announced its disbandment on July 23. This institute was the last overseas research institute of AWS. Chief Applied Scientist Wang Minjie confirmed the news on his Moments and reflected on her six-year leadership experience. An Amazon spokesperson stated that this was a personnel reduction decision based on organizational evaluation and strategic adjustments, aiming to optimize resource investment in innovation. The news has attracted widespread attention in the industry.

Fogsight is an AI animation engine based on LLM that can convert abstract concepts into teaching animations with one click. Users can input keywords to generate short videos with bilingual voiceover and cinematic visual effects, lasting 30-90 seconds, suitable for teaching in subjects such as mathematics and physics. Its core advantage lies in intelligent arrangement throughout the entire process, lowering the production barrier. It supports local deployment and open-source customization, but there is still room for improvement in handling complex scenarios. Compared to competitors like Animaker, Fogsight focuses more on concept-driven generation for educational scenarios. It is already being used in classrooms and online

At the recent 2025 (24th) China Internet Conference, Zhou Hongyi, chairman of 360 Company, revealed in an interview that the company plans to release two new AI hardware products this month - an AI voice recorder and smart glasses. Zhou introduced the features of these two products in detail. He stated that the AI voice recorder is not just a simple meeting transcription tool, but rather a device capable of intelligent analysis in different scenarios, accurately summarizing key points to provide users with a more efficient recording experience. He mentioned that this function will soon be updated and applied in the Nano AI search, further enhancing it.

Apple's AI team faces internal conflict as SVP Federighi rejects open-source plan, citing existing models and iPhone performance concerns. Team questions 'device-first' strategy. Apple delays Siri update, considers partnering with OpenAI, highlighting AI strategy dilemma between privacy and innovation.....

The夸克 Health Large Model has passed the written evaluation of 12 core medical disciplines by chief physicians in China, becoming the first large model to reach this level domestically. The model has been integrated into夸克AI Search, allowing users to access chief physician-level AI medical services through deep search. Its core breakthrough lies in establishing a slow-thinking capability, processing complex medical issues through chain reasoning and clinical deduction path modeling.夸克 adopts a dual data production line + dual reward mechanism training system, with a team of thousands of physicians labeling the data, including over 400 deputy chief physicians and above. The platform currently has more than 20 million monthly active medical student users.

Hedra introduces Hedra Live Avatars: low-cost ($0.05/min), ultra-low latency (<100ms), AI-compatible video generation from static images. Ideal for content, education, customer service, and gaming. Free trial available, with multi-modal upgrades planned.....

The Meta research team introduced an innovative architecture called AU-Net, breaking through the limitations of traditional tokenization techniques. The model learns directly from bytes, dynamically combining bytes into hierarchical sequence representations through a self-regressive U-Net structure. Its contracting path compresses bytes into semantic units, while the expanding path restores information and fuses details, with skip connections preserving local features. A multi-stage pooling strategy is used to extract semantics at the word and phrase levels, and multi-linear upsampling optimizes information fusion. The self-regressive generation mechanism ensures text coherence and significantly improves inference efficiency. This architecture

Google released the stable version of the Gemini 2.5 Flash-Lite AI model, focusing on high cost-effectiveness. This model supports a context of up to 1 million tokens, with input/output token pricing at $0.10/$0.40 respectively. The cost for audio input has been reduced by 40% compared to the preview version. Performance exceeds the 2.0 version, featuring functions such as search integration and code execution. Developers are required to migrate to the new version by August 25th, after which the preview version will be discontinued.

Latent Labs launches a revolutionary AI model called LatentX, focusing on innovative protein design. The model, developed under the leadership of Simon Kohl, a former DeepMind core member, can generate new protein structures with atomic-level accuracy and high experimental feasibility. Unlike prediction tools like AlphaFold, LatentX has the ability to creatively design proteins. The company uses a licensing model, offering services to academic institutions and pharmaceutical companies, supported by $50 million in funding. The future plans include launching premium paid features.

MIT dropouts' AI compliance firm Delve raised $32M Series A at $300M valuation. Its AI agents automate compliance, aiding rapid client growth from 100 to 500 in 6 months. Tech enables auto-evidence collection, reporting, and tool integration. Plans cybersecurity expansion to maintain lead amid competition. Investors see compliance modernization driving operational upgrades.....

Anthropic's CEO admits compromising with authoritarian regimes to maintain AI competitiveness, accepting $100B+ investments from UAE and Qatar. Despite concerns over empowering dictators, the move is deemed necessary for tech leadership, sparking ethical debates.....

Stanford University start-up Mixus launches an innovative AI agent platform, allowing users to interact directly via email/Slack. Key features: 1) Simple operation, using text commands to create agents for handling Jira queries and other tasks; 2) First-ever team shared memory function, enhancing collaboration efficiency; 3) Supports integration with multiple tools, enabling instant or scheduled task triggers. The platform has the potential to address current issues such as AI agent decision-making errors and insufficient collaboration, and may reshape workplace workflows, making AI assistants become new colleagues.

Apple released the iOS 26 Beta 4 developer preview, featuring minor adjustments to the Liquid Glass interface, the return of the AI news summary feature, and other updates. This version adds a new welcome startup screen, a warning prompt for Siri news summary settings, and optimizes the camera app. The AI summary feature, previously paused due to a complaint from BBC, has been reactivated but now includes a disclaimer about accuracy. Additionally, dynamic wallpaper and CarPlay wallpaper options have been updated, and some interface adjustments from Beta 3 have been fixed. Apple also simultaneously released updates for iPadOS, macOS...

A survey on AI usage in the US workplace shows that 16% of employees pretend to use AI to please their bosses, reflecting widespread AI anxiety. 75% of employers expect employees to use AI, but more than 1/5 employees feel anxious due to a lack of confidence. One-third of employees believe learning AI takes as much time as traditional work, and there are issues with not strictly checking AI outputs. 48% of employees hide their use of AI, fearing being questioned about their abilities. Experts suggest employees take the initiative to learn and adapt to new technologies, and strengthen communication with bosses to clarify expectations. AI is reshaping the workplace, and employees need to overcome anxiety and adapt.

Suleman, Microsoft's AI strategy lead, has poached more than 20 key employees from DeepMind, including Subramanian, former head of Google's Gemini engineering, accelerating Microsoft's AI strategy. This talent battle has led to a surge in industry salaries. Sam Altman, CEO of OpenAI, criticized the high salaries for poaching, stating it fosters a utilitarian culture. According to Google data, ChatGPT has more users than Gemini. The competition between the two companies has intensified with mutual recruitment of researchers. Notably, tech giants are simultaneously offering high salaries to attract AI experts while laying off regular employees.

Zero One World launched Wan Zai, an enterprise intelligent agent, positioned as a super employee, with the ability for deep thinking and task planning, supporting private deployment to ensure data security. CEO Lee Kai-Fu proposed a three-stage development path for AI intelligent agents: from workflow intelligent agents that execute instructions, to reasoning intelligent agents that can plan autonomously, and finally achieving a network of multi-intelligent agents. This product marks the entry of China's large models into a new era of industry AI focused on delivering results.