• 7 Posts
  • 474 Comments
Joined 2 years ago
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Cake day: June 30th, 2023

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  • If you want to talk money then it is in businesses best interest that money from their users is being used on their products, not being scammed through the use of their products.

    Secondly machine learning or algorithms can detect patterns in ways a human can’t. In some circles I’ve read that the programmers themselves can’t decipher in the code how the end result is spat out, just that the inputs will guide it. Besides the fact that scammers can circumvent any carefully laid down antispam, antiscam, anti-virus through traditional software, a learning algorithm will be magnitudes harder to bypass. Or easier. Depends on the algorithm


  • What about qualified? Is there an argument to be had about hiring someone that is more qualified rather than on diversity?

    I’m not trying to be facetious here. I work as a union electrician and we have a diverse group, but majority of our workforce are men. On one project we needed 2 crew to run trench conduit (an apprentice and journey level to stay in ratio) but because it was a government project the hiring required us to also stay in diversity ratio. So the project manager anticipated the difficulty and hire 3. A woman and 2 men. All 3 were working on the trench, but due to the nature of the work (harder physical labor) the woman ended up holding a sign for the remainder of 6 months she had to be there to “fill” the diversity hire, as the original planned 2 man crew ran the trench to stay on schedule.

    In this scenario should there be a bigger budget for diversity hire to compensate the additional labor required due to qualifications not being met? Of course it easily could have been a rock of a woman and 2 men who couldn’t lift a shovel too. But if that was the case the unqualified labor would have been rotated out instead of staying to fill a required diversity slot. It could have been 2 people like originally planned and both could have been women who were qualified to do the work. But that means it’s qualification over them filling their diversity roles.











  • Physical encyclopedias are just time capsules of knowledge, sometimes irrelevant. And pricy too. Having them and then saying information is easy to find is entitlement.

    I see what you’re saying. Top up voted corporate social media posts and AI finding top results for search engines and query requests is exactly why people need to ask other people wtf is going on with anything. It’s confusing enough to try to parse through irrelevant information, maybe asking someone will narrow down what you need to know.