DeepSeek’s rise shows why China’s top AI talent is skipping Silicon Valley
restofworld.org
Young Chinese engineers focus on homegrown innovation, drawn by fewer visa hurdles and the chance to build a future on their own terms.

cross-posted from: https://ponder.cat/post/1527018

  • DeepSeek has recruited recent graduates and interns from China’s top universities.
  • Facing visa hurdles and high living expenses, more of China’s AI researchers are choosing opportunities at home rather than abroad.
  • U.S. chip restrictions have forced Chinese companies to accelerate innovation.
      • Optional@lemmy.worldEnglish
        01·
        2 days ago

        A very relevant question in today’s AI-driven world!

        The difference between “Top AI Talent” and “Bullshit” can be subjective, but here are some key distinctions:

        Top AI Talent:

        1. Expertise: Possesses in-depth knowledge and skills in AI, including machine learning, natural language processing, computer vision, and other related areas.
        2. Achievements: Has made significant contributions to the field of AI, such as publishing research papers, developing innovative solutions, or working on high-profile projects.
        3. Practical experience: Has hands-on experience in applying AI techniques to real-world problems, often with impressive results.
        4. Collaboration and communication: Can effectively collaborate with others, communicate complex AI concepts to non-technical stakeholders, and lead teams in AI-related initiatives.
        5. Continuous learning: Stays up-to-date with the latest advancements in AI, attending conferences, workshops, and online courses to maintain their expertise.

        Bullshit:

        1. Overemphasis on hype: Excessively focuses on the latest and greatest AI trends, technologies, or applications without providing tangible value or results.
        2. Lack of practical experience: Claims to be an AI expert without any real-world experience or achievements to back up their claims.
        3. Vague or misleading language: Uses buzzwords like “AI” or “machine learning” to describe their work or skills without providing concrete examples or results.
        4. No clear expertise: Fails to demonstrate a deep understanding of AI concepts, techniques, or technologies.
        5. No commitment to continuous learning: Does not prioritize staying up-to-date with the latest AI advancements or attending relevant training and conferences.

        To distinguish between “Top AI Talent” and “Bullshit,” ask yourself:

        • Can they provide specific examples of their AI-related work or achievements?
        • Do they have a deep understanding of AI concepts and technologies?
        • Can they demonstrate their expertise through practical experience or publications?
        • Do they prioritize continuous learning and staying up-to-date with the latest AI advancements?

        If you can answer “yes” to these questions, it’s likely that the individual is a “Top AI Talent.” If you’re unsure or notice red flags, it may be “Bullshit.”