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With the deep application of artificial intelligence technology in the field of programming, Claude Code launched by Anthropic has become a reliable assistant for many developers, thanks to its powerful code comprehension and automation capabilities. Just yesterday, Claude Code received an important update, introducing the Hooks feature, which provides developers with more precise control and a more efficient development experience. What is the Hooks feature? The Hooks feature is a user-defined shell introduced by Claude Code.

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

As competition in the AI industry intensifies, a notable "poaching" incident has recently occurred. The developer of the popular coding application Cursor, Anysphere, successfully poached two key personnel from Anthropic: Boris Cherny, the lead developer of the Claude Code project, and Cat Wu, the product manager. This move has not only surprised industry insiders but also raised questions about the relationship between Anthropic and Cursor.

Recently, Meta Platforms is facing a major decision, possibly abandoning its self-developed Llama AI model and adopting artificial intelligence systems from competitors such as OpenAI and Anthropic. This change reflects a significant adjustment in Meta's open-source AI strategy and also shows the company's dissatisfaction with its own product performance. The turning point occurred at the Llama 4 launch event in April, where the product was presented at Meta's Llama

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Doubao AI Programming Launches Major Upgrade! No-code beginners can easily create their own web pages, with real-time editing that is very convenient! Doubao AI Programming has been upgraded to Application Creation 1.0, featuring visual editing, real-time preview, and multi-version management functions, lowering the barrier to web and application development for beginners.

Recently, a new general intelligent agent called MiniMax Agent has been officially launched, aiming to provide efficient solutions for complex long-term tasks and has attracted widespread attention in the industry. MiniMax Agent: A breakthrough work of general intelligent agents - MiniMax Agent is an intelligent agent designed specifically to solve long-term complex tasks, featuring expert-level multi-step planning capabilities, flexible task decomposition mechanisms, and end-to-end execution efficiency. Its design concept is to make AI a reliable teammate.

A recent paper published by researchers from Stanford University, Cornell University, and West Virginia University shows that Meta's Llama3.1 AI model can reproduce large amounts of copyrighted book content word for word, posing potential significant legal risks for the tech giant. The study indicates that the Llama3.170B model was able to reproduce 42% of the text from 'Harry Potter and the Philosopher's Stone' in testing, far exceeding the 4.4% reproduced by the first-generation Llama model. Artificial intelligence models, such as Ope

According to AIbase, AI code editor Cursor announced on June 17, 2025, a major upgrade for its Pro plan, officially removing the monthly 500 fast request limit and launching the long-anticipated 'unlimited use' mode. This move is seen as a milestone change by Cursor in responding to user demands and enhancing developer experience. AIbase pointed out that for a long time, the 500 fast request limit of the Cursor Pro plan has sparked extensive discussions among users. Many developers have reflected that in high-intensity coding environments

Israeli AI coding startup Qodo announced a strategic partnership with Google Cloud aiming to enhance the quality and integrity of AI-generated software. As enterprises increasingly rely on AI to generate large codebases, the demand for efficient oversight and quality assurance tools has never been more urgent. Itamar Friedman, CEO of Qodo, emphasized that AI-generated code is no longer just an auxiliary tool but the foundation of modern development. Imagine

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.