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A lot of white-collar workers are worried about generative AI taking their jobs in the next few years. I thought it would be interesting to talk to people who have been facing this issue for several years already—professional translators.
David Watson 🥑
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The paper that introduced the transformer architecture and kicked off large language models was Google's 2017 "Attention is all you need." It was a paper about machine translation. Around this time, powerful deep learning based machine translation software came on the market.
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Translators were not all put out of work in 2018. One reason is that translation software still makes mistakes and customers in high-stakes applications like law and medicine are willing to pay more for a higher-quality human translation.
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The other reason is that we've seen rapid growth in "hybrid translation" services where software generates the first draft and a human translator checks it for errors. This service is cheaper than a traditional human translator and the lower price leads to much higher sales.
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The takeaway for the rest of us is that AI isn't going to put any profession out of business overnight. It'll be a gradual process that plays out over decades, not years or months.
I've heard anecdotally that the market for low-end digital art has collapsed. Just curious if you heard anything about this during your research on this article. 1/n
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As a certified translator with 15 years’ experience, this is one of the most balanced articles on the subject that I have read. Post-editing MT has raised my income due to output exceeding price discounts (especially on patent translations) but I know my case is not typical.
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Some industries have work vulnerable to AI disruption but are in secular decline (you're post the top point for demand). If your plan was to wait out n years and retire, being the "last one out the door", for sufficiently long n your plans need to change. Look for those jobs.
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