Klarna's AI Assistant Handles Customer Service Chat Work Equivalent to 700 Employees

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Published in AI News · 1 minute read · Jul 22, 2025

Translated data: Swedish payment provider Klarna announced that its AI assistant has handled a significant volume of customer service chats, equivalent to the work of 700 employees. The AI processed 2.3 million conversations, enhancing customer satisfaction and reducing the error rate in problem resolution. Customers experienced faster problem-solving, with AI providing round-the-clock service and supporting multiple languages. The company's CEO urged policymakers to proactively address the impact of AI on the job market, stating that AI will bring profit growth to the company and transform the job market.

ByteDance Launches VLA General-Purpose Robot Model GR-3 Supporting High Dexterity Operations

Recently, ByteDance's Seed team officially launched a new Vision-Language-Action Model (VLA) called GR-3. This model demonstrates breakthrough capabilities in the field of robotic manipulation, not only understanding language instructions that include abstract concepts, but also precisely handling flexible objects. It also has the ability to generalize quickly to new tasks and recognize new objects. This achievement is seen as an important advancement toward a 'general-purpose robot brain'. Traditional robotic manipulation models often rely on large amounts of robotic trajectory data for training.

Zhipu Z.ai Launches Zread.ai for an Enhanced Open Source Project Experience

Zhipu Z.ai launches Zread.ai, a Chinese open source project reading tool that supports pasting GitHub links to automatically generate project structure and usage guides, significantly lowering the barrier for developers to understand open source projects. The tool has indexed numerous popular projects and offers an application process for less popular projects to be indexed. Its feature Buzz aggregates community updates, including commits, issues, and news, helping developers stay fully informed about project progress. This tool fills the gap in Chinese open source project reading tools and is expected to become an essential tool for developers.

ByteDance Open Sources Seed-X: A 7-Billion-Parameter Small Model Supporting Translation in 28 Languages, Performance Comparable to Top-Level Large Models

ByteDance open sources the lightweight multilingual translation model Seed-X, which supports bidirectional translation in 28 languages and demonstrates performance comparable to top-level large models. This 7-billion-parameter model is based on the Mistral architecture and focuses on translation optimization, showing excellent performance in multiple areas. It uses an innovative training strategy to generate high-quality data and optimize deployment efficiency. This is another open-source project from ByteDance following BAGEL and Seed-Coder, promoting advancements in AI translation technology.

Qualcomm AI Launches CSD-VAR: New Breakthrough in Content-Style Decomposition for Vision Autoregressive Models, Unlocking New Heights in Creative Generation!

The Qualcomm AI Research Institute has introduced an innovative technology called CSD-VAR, which enhances the generation capabilities of vision autoregressive models through content-style decomposition. This technology employs scale-aware generation and SVD correction to achieve precise separation of content and style, outperforming traditional diffusion models in terms of fidelity and stylistic effects. The accompanying CSD-100 dataset optimizes model training and evaluation. CSD-VAR also introduces a K-V memory mechanism to improve processing efficiency, with broad application prospects in fields such as artistic creation and game development, showcasing Qualcomm's advancements in visual generation technology.

Trae 2.0 Officially Upgraded with SOLO Mode: Smart Autonomous Development, Full Process Integration in One Step

ByteDance launched the Trae IDE 2.0 version, which realizes a breakthrough in AI autonomous programming with its revolutionary SOLO mode. This mode integrates tools such as the editor and terminal, enabling the completion of the entire development process from concept to deployment without continuous human intervention. Tests show that SOLO can autonomously develop and deploy applications, such as a WeChat Moments analysis tool. Compared to traditional AI coding tools, Trae 2.0 provides a more complete end-to-end solution, surpassing similar competitors. Currently, Pro users can experience this feature, which requires an invitation code to unlock. This upgrade marks a significant step forward.