There is an argument to be made that the market buys bug-filled, inefficient software about as well as it buys pristine software. And one of them is the cheapest software you could make. It's similar to the "Market for Lemons" story. In short, the market sells as if all goods were high-quality but underhandedly reduces the quality to reduce marginal costs. The buyer cannot differentiate between high and low-quality goods before buying, so the demand for high and low-quality goods is artificially even. The cause is asymmetric information. This is already true and will become increasingly more true for AI. The user cannot differentiate between sophisticated machine learning applications and a washing machine spin cycle calling itself AI. The AI label itself commands a price premium. The user overpays significantly for a washing machine[0]. It's fundamentally the same thing when a buyer overpays for crap software, thinking it's designed and written by technologists and experts. But IC1-3s write 99% of software, and the 1 QA guy in 99% of tech companies is the sole measure to improve quality beyond "meets acceptance criteria". Occasionally, a flock of interns will perform an "LGTM" incantation in hopes of improving the software, but even that is rarely done.

Source: news.ycombinator.com

As immigration from Europe and Asia neared its crest in the late 19th century, anti-immigrant sentiment soared along with it. The U.S. was in the grips of an economic depression, and immigrants were blamed for taking American jobs.

Source: www.loc.gov

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