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An example

>The job market for junior software engineers is in turmoil: the AIs can do everything taught by a CS degree, but people who know how to manage and quality-control teams of AIs are making a killing.

AI doesn't look like a competition for a junior engineer and many of the people using not "managing" AI are going to be juniors in fact increasing what a junior can do and learn more quickly looks like one of the biggest potentials if they don't use it entirely as a crunch.

Meanwhile, it suggests leading-edge research into AI itself will proceed fully 50% faster than research not without AI but those using 6 months behind cutting edge. This appears hopelessly optimistic as does the idea that it will grow the US economy 30% in 2026 whereas a crash seems more likely.

Also it assumes that more compute will continue to be wildly more effective in short order assuming its possible to spend the money for magnitudes more compute. Either or both could easily fail to work out to plan.





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