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Cake day: January 13th, 2025

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  • Have people who actually understand what they are asking do the interviews. Problem with mist interviews is they are non-technical people asking complex technical questions and expecting a very specific answer that only people whose brains work a certain way will come up with. This often eliminates the mist creative developers because they come up with different solutions than the one the nontechnical person was taught is the right answer. Not to mention often the questions they ask are obsolete things that most people aren’t going to know off the top of their heads because it’s something they would normally look up in real work not something they need to memorize. Tech interviews are horrible at finding good talent. Good riddance.





  • Yeah I think hashes in the same folder are only valuable as a check to make sure you downloaded the file successfully. Which isn’t a big issue for at least the around 80% of internet users who have access to broadband. They are only useful for security if the hash is on the website that you click on and then you download and verify it manually.


  • Yes. X-ray, MRI, and other complex images are difficult to analyze at a glance and it takes a lot of experience to make a guess on whether something is normal or not. This is exactly what AI is good for. Learning the relationship between some complex set of data points and assigning a probability that it is something based on historical data. AI is just not being used for the correct things most of the time. This is one of those correct things.

    AI should not be making decisions, only assisting humans in making decisions. So it depends a lot on how it is interpreted. A doctor can see a 50% probability vs a 75% probability and react appropriately. When someone who doesn’t know the topic decides that an 80% probability is yes and lower is no, this is when things like police using facial recognition to determine guilt rather than just seeing that there’s an 80% probability of a match and immediately arresting and prosecuting them while telling jurors that it’s a match rather than only an 80% probability of a match that AI becomes an issue.


  • And AI will stifle creativity in all areas that it’s used in. That’s the problem with predictive models being called “AI”. They are only as “intelligent” as the information they were trained on and will always be biased towards what that data set was biased on and won’t be able to create anything truly new, only improve existing things.