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观察| 为什么经济越差,人工智能行业越好?
未来已来,只是分布不均。 —— 威廉 · 吉布森( William Gibson ) 就在其他行业的毕业生为月薪过万挤破头时,小鹏汽车给2025年应届生开出了 最高 160万元 的年薪。 这还不是个别现象。何小鹏在华南理工大学校招现场直言,对于特别优秀的同学,尤其是AI方向的顶尖人才,工资将" 上不封顶 "。 放眼全球,这场人才争夺战早已进入白热化阶段。 01 天价薪酬 AI人才战争的全线爆发 2025年,AI人才争夺战已进入白热化。小鹏汽车不仅为应届生开出160万年薪,还宣布2026届校招将招聘 超过 3000名 毕业生,AI方向岗位年薪可达 百万。 小鹏汽车CEO何小鹏直接表示:"如果你是AI方面的大咖,上不封顶"。 这波人才争夺潮并非小鹏个例。早在去年,雷军就亲自出手,以 千万元年薪 挖来了DeepSeek开源大模型DeepSeek-V2的关键开发者之一——95后"天 才AI少女"罗福莉。 这位来自四川的女孩,在进入北京师范大学之前几乎未曾接触过计算机,却实现了逆袭之路,后来以优异表现保研北大计算语言学研究所。 她在人工智能领域顶级国际会议ACL上一次性发表8篇论文,在阿里达摩院主导开发了多语言预训练模 ...
18岁天才少年,登上Nature封面!
猿大侠· 2025-09-20 04:11
Core Viewpoint - DeepSeek-R1 has become the first large model to be published on the cover of Nature after rigorous peer review, highlighting significant advancements in AI research and development [2][10]. Group 1: DeepSeek-R1 and Its Significance - DeepSeek-R1 is recognized as the first large model to undergo strict peer review, marking a milestone in AI research [2]. - The publication has garnered widespread attention, particularly for its unique contributions to reasoning capabilities in AI models [5][54]. Group 2: Jinhao Tu's Contributions - Jinhao Tu, an 18-year-old intern at DeepSeek, is one of the authors of the Nature article, showcasing a remarkable journey from high school to a published researcher [8][10]. - Tu's achievements include winning the global first place in the 2024 Alibaba Data Competition's AI track and developing advanced prompting techniques for AI models [14][18]. Group 3: Innovations in AI Models - Tu's work involved creating a "Thinking Claude" prompt that enhances the reasoning capabilities of the Claude 3.5 model, making it more human-like in its thought processes [16][35]. - The final version of the prompt allows users to interact with the model in a more nuanced way, including features to expand or collapse its reasoning [32][35]. Group 4: Broader Implications for AI - The advancements in AI models like DeepSeek-R1 and Claude 3.5 reflect a shift towards creating systems that not only predict text but also understand underlying meanings, which is crucial for achieving advanced AI capabilities [40][42]. - The focus on safety and alignment in AI development is emphasized, with the belief that these measures are essential for ensuring that AI systems can operate safely and effectively [37][41].