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GitHub releasing the worlds most awful report trying with all their might to make copilot look good.

- percentages did not add up to 100 (one was under, one was over)
- errors not defined as functional errors, but “any code that reduced the ability for the code to be easily understood” (what in the subjective bullfuck is that?)
- apparently 200 participants but 25 represented 40% of the population????

LLMs are already decreasing the average GitHub employee IQ to functionally retarded levels :(

Comments
  • 4
    copilot increased turnover rate of code

    basically, since AI people are rewriting the code the AI wrote at a higher frequency. cuz turns out the code sucks

    they're ok assistants sometimes but it makes no sense for them to do it themselves I think
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