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Joined 4 years ago
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Cake day: June 30th, 2020

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  • Once I had to use the internet without and ad blocker ( shiver ). It was horrible. I still have nightmares.

    Joking aside. I couldn’t believe how crammed full and chaotic sites were without an ad blocker. I have no evidence to support this other than my experience but I think , for me , ad blockers are good for my mental health. Being constantly exposed to all those messages trying to exploit insecurities can’t be good for people.

    Anyways ad blockers are the best.


  • Yeah I 100% understand and to a large extent agree with this. I think money should be involved , creators should get paid. I don’t think peertube has become “the answer” yet and there is some combination of market level event and technology/feature set that needs to be in place to create enough moment for people to move off YouTube. It will happen eventually ( I think ) but what exist today isn’t enough of a pull to overcome the momentum YouTube has but that doesn’t mean that “we” should give up.






  • I’ve used StandardNotes for years. They are great, very privacy friendly and lots of good features. I’ve also used Obsidian like others have mentioned but I didn’t use 95% of the features on either standard notes or Obsidian – now days I just use a general markdown files and store them in a git repo – low complexity and I like the simplicity of it. 100% recommend.




  • Hey, I am a machine learning engineer that works with people data. Generally you measure bias in the training data, the validation sets, and the outcomes ( in an ongoing fashion - AIF 360 is a common library and approach ). There are lots of ways to measure bias and or fairness. Just checking if a feature was used isn’t considered “enough” by any standards or practitioner. There are also ways to detect and mitigate some of the proxy relationships you’re pointing to. That being said, I am 100% skeptical that any hiring algorithm isn’t going to be extremely bias. A lot of big companies have tried and quit because despite using all the right steps the models were still bias https://www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G. Also many of the metrics used to report fairness have some deep flaws ( disprate impact ).

    All that being said the current state is that there are no requirements for reporting so vendors don’t do the minimum 90% of the time because if they did it would cost a lot more and get in the way of the “AI will solve all your problems with no effort” narrative they want to put forward so I am happy to see any regulation coming into place even if it won’t be perfect.