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This article provides an in-depth analysis of the innovative architecture and technical advantages of the Kimi-Dev-72B open source large model, exploring how it addresses efficiency pain points in software development through its three-stage training paradigm and environment-integrated reinforcement learning mechanism, featuring core functions such as automated issue localization and precise code repair.

Artificial intelligence video generation technology is changing the landscape of content creation at an unprecedented rate. AIbase learned from social media that Google Veo 2 has officially launched on Google AI Studio, offering users free trial access. This news has generated considerable enthusiasm among developers and creators, marking not only a key step in Veo 2's popularization but also providing a low-threshold testing environment for AI video generation. Below is AIbase's in-depth report on this development, analyzing Veo 2's free trial mechanism and...

The rapid development of artificial intelligence technology has placed higher demands on prompt engineering. AIbase learned from social media that OpenAI recently released a prompt engineering guide for GPT-4.1, detailing how to maximize model performance through clear and precise prompts. This guide not only continues traditional best practices but also provides optimized suggestions for the unique characteristics of GPT-4.1. The following is AIbase's in-depth analysis of this guide, guiding you through its core content.

On April 15th, OpenAI released a prompt engineering guide specifically for GPT-4.1, offering developers comprehensive advice and best practices for building and optimizing AI applications more efficiently. This guide details GPT-4.1's features and provides a range of techniques, from fundamental principles to advanced strategies, to help developers fully leverage the power of GPT-4.1.

Bug fixing is a persistent challenge in software development. ByteDance's Doubao large model team has exciting news: they've launched Multi-SWE-bench, the first multi-lingual software engineering (SWE) dataset. This new dataset aims to evaluate and improve the ability of large models to automatically fix code errors. Multi-SWE-bench significantly expands the scope compared to previous single-language datasets. It covers not only Python, but also...

According to foreign media reports, Microsoft's Chief Technology Officer, Kevin Scott, has boldly predicted that by 2030, as much as 95% of programming code will be generated by artificial intelligence. However, he clarified that this doesn't signify the end of human involvement in software engineering. Scott explained that this doesn't mean AI is doing the software engineering work; the authors will still be human. It creates another layer of abstraction, as we transition from 'input masters' (programming languages) to 'prompt masters' (AI coordinators).

On March 19, 2025, in Dongguan, a major manufacturing hub in China, the first city-level AI large model center focused on manufacturing officially launched. This center aims to promote the deep integration of artificial intelligence and manufacturing, enhancing the efficiency and intelligence level of industrial manufacturing. Zeng Ming, Deputy Secretary-General of the Dongguan Municipal People's Government, stated at the event that the establishment of this center will provide stronger support for manufacturing enterprises, enhancing Dongguan's core competitiveness and global influence. Image Note: Image generated by AI, image authorization service provider Midjourney Dongguan Digital.

VideoPainter is a deep learning-based editing tool that allows for automated video content modification using simple prompts. It's particularly well-suited for long-form video editing. Imagine watching a great video, only to find a detail you'd like to change. Previously, you might have had to painstakingly adjust each frame or even reshoot the entire segment. Now, with VideoPainter, you simply input a short prompt, and the system...

Beijing Mianbi Intelligent Technology Co., Ltd. and Shanghai Zhizhi Engineering Technology Co., Ltd. recently announced a strategic cooperation aimed at jointly developing artificial intelligence edge models for the industrial sector. This collaboration will leverage Mianbi Intelligent's technological advantages in edge large models, image large models, and embodied intelligent applications in multiple scenarios, as well as Zhizhi Engineering's deep accumulation of experience in the manufacturing market, scenarios, processes, and engineering, to jointly promote the process of industrial intelligence.

A seemingly absurd hacker experiment once again sounds the alarm for AI security. In a competition called Freysa, an AI chatbot security challenge, a hacker using the alias 'p0pular.eth' successfully 'scammed' $47,000 worth of cryptocurrency simply through well-crafted text prompts. This shocking case reveals serious security vulnerabilities present in current AI systems. The hacker's attack process can be described as textbook social engineering: first, the hacker impersonated an administrator, cleverly bypassing...