DeepSeek’s rise shows why China’s top AI talent is skipping Silicon Valley.
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It's bittersweet, but I don't blame them. While China's policies are anything but humane, America didn't help by exploiting them until it was bad for their image.
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I have recently applied in Europe, U.S., and China for a junior computer scientist position. The China employer gives me an offer immediately, with almost the same salary as Europe and U.S. in Beijing. Plus the China position promised me a clear path of promotion, which is not in the case for my Europe and U.S. offers.
My current position in Europe is in a famously well-paying institution, but my salary is only minorly higher than China, not to mention all the crap I need to go through moving to Europe.
The Chinese government is investing a crap ton of money and resource into computing, I cannot imagine many other people will make the choice I did, especially when they spent most of their lives in China.
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"Top AI talent"?
HA
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Regardless of whether you like AI or not, it's seems silly to pretend there's no talent required for building these projects.
Of course there are talented people in the sector.
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you mean programmers? Sure.
I see a lot of slop about companies preparing an "AI strategy". It's insanity.
Here's the "AI strategy" - stay the fuck away from it for the forseeable future.
Unless you're a data science organization (in which case, it's just ML), or you just want to make a super-simple "who's on first" lookup chat bot, forget it. Nothing. Works.
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Sounds like someone couldn't even program a thermostat or coffee maker
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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:
- Expertise: Possesses in-depth knowledge and skills in AI, including machine learning, natural language processing, computer vision, and other related areas.
- Achievements: Has made significant contributions to the field of AI, such as publishing research papers, developing innovative solutions, or working on high-profile projects.
- Practical experience: Has hands-on experience in applying AI techniques to real-world problems, often with impressive results.
- Collaboration and communication: Can effectively collaborate with others, communicate complex AI concepts to non-technical stakeholders, and lead teams in AI-related initiatives.
- Continuous learning: Stays up-to-date with the latest advancements in AI, attending conferences, workshops, and online courses to maintain their expertise.
Bullshit:
- Overemphasis on hype: Excessively focuses on the latest and greatest AI trends, technologies, or applications without providing tangible value or results.
- Lack of practical experience: Claims to be an AI expert without any real-world experience or achievements to back up their claims.
- Vague or misleading language: Uses buzzwords like "AI" or "machine learning" to describe their work or skills without providing concrete examples or results.
- No clear expertise: Fails to demonstrate a deep understanding of AI concepts, techniques, or technologies.
- 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."
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Tldr: Optional is AI slip
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Is China really that much worse than Trump's regime? It sounds like we are all fucked outside of Europe.
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It works fine for 90% of your use cases...the exotic stuff will need real engineers though, the script kiddies aren't powering through some of those problems.
