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I think that picking a direction is not that hard, and I don't know that AI couldn't do it better. I'm not sure mid-tier CEO's won't be on their way out, just
by SubiculumCode 3y ago
I think that picking a direction is not that hard, and I don't know that AI couldn't do it better. I'm not sure mid-tier CEO's won't be on their way out, just like middle management.
- ethbr1 3y agoI was talking more about science. On the people-direction side, I expect the span of control will substantially broaden, which will probably lead to fewer manager/leader jobs (that pay more). You'll always need someone to do the last 5% that it doesn't make sense to data engineer inputs/outputs into/from AI.
- SubiculumCode 3y agoYeah. Right now, its been helping me be more productive in my science by writing code quicker...mainly on the data management side of things. I do however wonder, at what point do I just describe the hypothesis, point to the data files, and have it design an analysis pipeline, produce the results, interpret the results, then suggest potential follow-up hypotheses, do a literature search on that, then have it write up the grant for it.
- ethbr1 3y agoIt'll probably be like automating most other tasks: the effort is dominated by finding the right data, transforming it into a standardized input stream, then transforming the output back into actions. Programming became high-level programming (of compilers) became library-glueing/templating/declarative programming... becomes data engineering.