@alcinnz
If you don't know the problem you're trying to solve then how do you even know when you've solved this? I am an utter *pain* to folks in my orgs about this: the problem and measurements need to be nailed down at the beginning. The number of times I've seen folks trying to shift what they're doing without acknowledging that they were trying to dodge the hard part of the problem and no longer solving the actual problem we have is ... too many.
Notices by LeaKissner (leak@hachyderm.io)
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LeaKissner (leak@hachyderm.io)'s status on Wednesday, 22-Feb-2023 09:21:24 JST LeaKissner -
LeaKissner (leak@hachyderm.io)'s status on Friday, 17-Feb-2023 10:26:19 JST LeaKissner If you need to solve 100% of a problem to get any benefit and the last 5% is impossible, *any* work on that problem is a waste of time. Figure that up front. Go work on something which actually can protect your users and systems and colleagues.
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LeaKissner (leak@hachyderm.io)'s status on Friday, 17-Feb-2023 10:25:47 JST LeaKissner Because a friend found this useful yesterday:
Before tackling a problem, figure out whether it's the sort of problem where when you've solved 80% of the problem, you've solved 80% of the problem, or the kind where solving 80% means you've solved 0% of the problem.This is especially important in security and privacy because that last 5% might be impossible.
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LeaKissner (leak@hachyderm.io)'s status on Sunday, 29-Jan-2023 02:20:00 JST LeaKissner It's time to talk about "Characterizing and Measuring Misleading and Harmful Online Ad Content at Scale" from
Eric Zeng, Carnegie Mellon Universityat #enigma2023
Alot of the internet needs the revenue from ads but they can be harmful