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Seems like this focus of this article is the field moves quickly. That's it. The AI and software engineering skills required to make something that was painful
by dpflan 6y ago
Seems like this focus of this article is the field moves quickly. That's it.
The AI and software engineering skills required to make something that was painfully tedious X years ago and make it easy today is clearly valuable. It takes such "AI skills" to work on these projects.
The AI/ML component of a company is a smaller part of the entire infrastructure. You still need to be build the infra. Which means that in a fast paced industry, with proper infra, you could replace/substitute your AI/ML component.
- chromanoid 6y agoI agree. When you truly understand what you are doing even in a field that moves quickly, your knowledge stays at least to some extent valuable. I would claim that this is especially true for the field of AI. While libraries and frameworks will move as quick as the JavaScript ecosystem, the essence will stay the same. The joke here is that "skills" in AI seem to be more like being able to intuitively turn the right knobs to make the AI algorithm do what you want. This "skill" is of course highly dependent on what knobs there are and what algorithm is used. It's like being able to develop AngularJS only. Nobody should expect their skills being valuable after some time regarding frameworks and libraries in a buzzing field like AI. Just look at how much web development changed in the last decade.