I heard a joke that if you hire a decent machine learning engineer, you shouldn’t hire him because he will ruin the project that was supposed to use machine learning by saying “we don’t need machine learning”.
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https://mobile.twitter.com/learn_learning3/status/1097028120333320192
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When a certain technology X is highly valued
- Technicians who have not mastered X can learn X by
- I think it will help me in my future.
- I think my market value will go up.
- Therefore, there is a bias to select technology X when choosing the technology to use for the project
- You can learn Technology X on the job time by being involved in that project.
- I think putting my involvement in a project that uses technology X on my resume would increase my market value.
- On the other hand, technicians who have already mastered X
- Make technology selection based on whether it is beneficial to use technology X for that project.
- If it is not beneficial to use technology X, then say, “I would prefer not to use technology X.”
- Do not like to see their time spent learning technology X wasted on projects that should not use technology X
- Unwillingness to participate in a project if technology X is about to be used when technology X should not be used
- Technicians who have not mastered X can learn X by
relevance - hype cycle - If someone who has mastered technology X thinks technology X is overvalued, they might consider selling it at a higher price to someone who wants technology X before it is devalued.
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