DeepSeek

A report indicates a 72.2% drop in DeepSeek’s monthly downloads in Q2 2025. However, this decline is attributed to DeepSeek’s integration into third-party platforms and its focus on open-source LLM development for AGI advancement. Users are being diverted through these channels, impacting direct app downloads. While specialized AI tools like “AI+office” and “AI+education” platforms are gaining traction, DeepSeek remains a key AI player, despite facing challenges like delayed updates and user experience concerns.

QuestMobile’s Q2 2025 AI app ranking reveals a sharp 72.2% drop in DeepSeek’s monthly downloads, signaling a decline from its previous dominance. While Doubao leads overall, MAU decreased across similar AI assistants. New contenders emerged in specialized areas like “AI+Office” (ima, 360 Wenku) and “AI+Education” (Doubao Aixue, KuaiDui AI). Experts attribute DeepSeek’s decline to competitive API pricing from rivals, technology integration into other apps, lack of vertical integration, and delays in releasing the DeepSeek-R2 model.

During a visit to China, Nvidia CEO Jensen Huang praised Xiaomi’s hardware and technology, expressing a desire to own their car, while also acknowledging Huawei’s strong engineering and cloud capabilities. He highlighted China’s advancements in AI, particularly the breakthroughs by companies like DeepSeek and their open-source inference model. He also mentioned Apple’s AI capabilities and his preference for Pixel phones’ pure Android experience.

Viral claims of DeepSeek’s usage collapsing from 50% to 3% are misleading. Data shows its peak was 6-7% on platforms like Poe, now near 3%—a 50% drop, not from 50%. Reports ignore its strategic shift: usage surged 20x via embedded third-party services (Tencent, Baidu, devices) despite direct API traffic dip. Prioritizing AGI research over commercial optimization, DeepSeek’s future hinges on next-gen models, not cherry-picked stats. (98 words)

DeepSeek’s launch of its next-gen AI model R2 faces major delays due to data and hardware constraints, with user adoption plummeting to 3% from 50% earlier this year. The Chinese AI firm struggles to secure sufficient high-quality training data under domestic restrictions and faces GPU shortages, causing reliability issues like hallucinations. Despite operational challenges, DeepSeek has disrupted the global AI market through its open-source strategy, engaging over 1 million developers by offering accessible models. While its current setbacks highlight scaling difficulties, the company has already reshaped competitive dynamics against Western giants.

Xiaowang AI Screenshot’s 1.2.0 update enhances productivity with a streamlined interface, precision drawing tools (Shift-key support), optimized shortcuts (Cmd+Shift+X, Ctrl+C), and improved usability. It offers AI-powered text extraction, translation, screen recording, and annotation. The lightweight, ad-free tool is compatible with Windows and macOS, making it a versatile digital assistant for students, professionals, and creatives.

Alibaba is undergoing a significant strategic shift towards AI, spurred by internal reflections on past missteps and the rise of competitors. Executives, including Joe Tsai, admitted to overexpansion and are now laser-focused on AI and cloud infrastructure to regain dominance. This triggered rapid development of the Qwen series, now a top-ranked open-source model, and a massive investment of over 380 billion yuan in AI infrastructure. The company aims to democratize AI through open-sourcing Qwen.

DeepSeek unexpectedly updated its R1 model, rather than releasing R2. This trial upgrade, accessible via their website and apps, maintains the existing API. Early tests of the open-source R1 (0528) version show significant improvements, especially in programming, now rivaling international standards. The updated model excels in varied tasks from web design to text processing, sometimes outperforming other models like Claude 4.

DeepSeek, a Beijing-based AGI startup, announced plans to open-source five production-grade code repositories, including training frameworks and inference engines, positioning itself as a transparent alternative to Silicon Valley secrecy. Despite its rapid growth—offering GPT-4-level tools freely while monetizing enterprise APIs—the company faces scrutiny over data ties to Chinese state-linked entities, U.S. procurement bans, and IP disputes. Analysts debate whether its “daily unlocks” strategy truly fosters open collaboration or disguises proprietary advantages, as geopolitical tensions intensify in the west-east AI rivalry.