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OpenAI launches 'Residency Program' offering $210K/year to attract cross-disciplinary AI talent. The 6-month program trains 30 researchers annually from fields like physics and neuroscience, with full-time conversion for top performers. Unlike Meta's high-cost recruitment, OpenAI prioritizes cultural alignment over salary to retain talent.....

Recently, Baidu officially launched its 2026 AIDU Program, an elite recruitment project aimed at cultivating future AI technology leaders. This program has once again become a focal point in the tech community. Baidu hosted an AIDU Program • DeepTalk Open Day event in their campus, attracting many young people who are passionate about AI technology to participate. In this year's AIDU Program, there has been a significant expansion in job recruitment. The scale of recruitment has increased by over 60%, covering 23 core businesses and 11 research directions of Baidu. Positions include large model algorithms and large model infrastructure.

Tech company Anthropic has quietly launched a blog project called 'Claude Explains' to showcase the content creation capabilities of its AI model, Claude. The content of the blog is primarily generated by the Claude AI model and then edited and enhanced by a team of human experts, covering various technical topics. It is reported that the content of the 'Claude Explains' blog is not just automatically generated by AI, but also goes through a series of rigorous editing processes.

In the fierce competition for talent, vivo recently announced the launch of a global talent recruitment program named 'Blue Star'. This plan focuses on high-tech fields such as chips and artificial intelligence large models. The purpose of this program is to attract the top doctoral students from around the world to further promote vivo's technological innovation in research and development. The 'Blue Star Program' is regarded as the core talent strategy of vivo. It plans to recruit about 100 experts. These positions cover several technical fields, including virtual reality (XR), artificial intelligence large models, image processing, chip design, etc.

On May 8th, OpenAI o4-mini launched with Reinforcement Fine-Tuning. The combination of these two technologies completely transforms the cost structure and technical threshold for AI specialization, enabling enterprises to rapidly turn general-purpose AI into expert systems in specific fields using only a small amount of training data. The leap from general intelligence to expert-level AI is highlighted by the Reinforcement Fine-Tuning technology at the core of this release. Unlike traditional supervised fine-tuning, RFT is based on reinforcement learning algorithms, driven by reward-based training.

ByteDance recently announced the official launch of its "Top Seed" program for recruiting top AI talent from the class of 2026. The program aims to recruit approximately 30 outstanding doctoral students. This initiative focuses on cutting-edge artificial intelligence, encompassing research areas such as large language models, machine learning algorithms and systems, multi-modal generation and understanding, and speech processing. ByteDance hopes to attract young talents with strong potential and passion in the field of large language model research. Unlike previous recruitment plans, this year's "Top Seed" program emphasizes no restrictions on academic background.

Recently, at Baidu Create Developer Conference, Baidu founder Robin Li announced a series of significant AI development plans and initiatives, actively embracing the booming era of AI applications and providing comprehensive support for developers. The Baidu Search Open Platform officially launched the "AI Open Program" (sai.baidu.com), aiming to provide users with more comprehensive AI services by establishing diverse content and service distribution mechanisms. This program will target various forms such as intelligent agents, H5, mini-programs, and independent Apps.

At the 2025 SenseTime Technology Exchange Day in Beijing, SenseTime officially announced a comprehensive upgrade to its SenseCore 2.0 large-scale AI infrastructure. As a leader in AI infrastructure, SenseCore 2.0 aims to provide businesses with agile, flexible, and reliable full-stack AI infrastructure services, driving the efficient implementation and large-scale application of large-scale models at an optimal price-performance ratio.

The non-profit organization Digital Promise recently announced the launch of its "Responsible Design AI Product Certification" program. This initiative aims to assist school leaders in selecting AI-powered educational technology tools that meet student learning and safety requirements. With the rapid growth of AI in education, schools face an increasing number of choices, making the selection of safe and effective tools a critical challenge. The certification program specifically assesses several key aspects of AI educational tools, including data security and fairness.

OpenAI has announced the launch of its 'OpenAI Pioneers Program', aimed at improving the current scoring system for AI models to create evaluation standards more aligned with real-world applications. With the rapid advancement of AI across various industries, understanding and enhancing AI's performance in real-world scenarios is crucial. OpenAI states that focusing on domain-specific evaluation metrics will more effectively reflect real-world performance and help teams assess model performance in high-stakes environments.

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

News is spreading in the AI field that Jie Junyuan, a former AI expert from ByteDance, has officially joined Chixun Intelligent, an embodied AI startup, as the head of its embodied intelligence department. This change not only injects strong momentum into Chixun Intelligent's technical team but also paves the way for the future development of embodied AI. Jie Junyuan is a highly respected figure in the field of artificial intelligence. He graduated from the University of Science and Technology of China and received his doctorate from the University of Washington. He has published papers at several top academic conferences, and these papers...