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> Do you really want to have "I wrote an novel algorithm to track people" on your resume? If the algorithm is truly novel then yes, absolutely.
by dsacco 9y ago
> Do you really want to have "I wrote an novel algorithm to track people" on your resume?
If the algorithm is truly novel then yes, absolutely.
- saagarjha 9y agoSo where do you draw the line? How many of these would you put on your resume? "I wrote software that took advantage of addictive behavior in new ways" "My new flagging mechanism, tailored to prevent users from leaving the platform, led to someone committing suicide after being unable to block an abuser" "My relevancy algorithm, based on what had the most engagement, led to a genocide" I've made these purposefully extreme, but these are all based on reality. Making something "novel" isn't always a good thing.
- dsacco 9y ago> "I wrote software that took advantage of addictive behavior in new ways" "My new flagging mechanism, tailored to prevent users from leaving the platform, led to someone committing suicide after being unable to block an abuser" "My relevancy algorithm, based on what had the most engagement, led to a genocide" I wouldn't put any of those on my resume, because they're ridiculous and don't represent the way people report their achievements. However, I would put the technology I developed on my resume that enabled any one of those things. Personally, I'd be proud to have had significant involvement in the development of Facebook's data analysis and ingestion platform. I would not be proud of the Cambridge Analytica mistake in of itself, but that's because I don't conflate the underlying technology with a particularly grievous mistake that was happened because of the technology's existence. Moreover, I contest your use of examples which are cartoonishly evil. I disagree with the fundamental premise that the technology is innately bad, or that your examples even remotely constitute an accurate portrayal of the internal culture at Facebook. I believe there are clear failures in Facebook's data analysis processes, but it's intellectually lazy and dishonest to misrepresent those failures using the obviously biased language in your examples. It's also unfair to mischaracterize the majority of people who work there as lacking in ethics.