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Joined 1 year ago
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Cake day: August 16th, 2023

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  • Tomorrow passwords will be cracked in no time, because most algorithms are not quantum safe. Same with password length.

    I never said it is not an attack vector. There are dozens if not hundreds. The question is about the probability, which is always a dimension if you manage risks. There is no need to list all theoretical possible attack vectors, if the probability of actually happening only affects 2 people on this planet.

    Videos for educational purposes should not sensationalize unlikely attacks, as it only causes unnecessary fear. I’d rather have someone using torrent on VPN than not using anything at all because they are now afraid of the government.







  • (…) are you trying to help government agencies perfect spying? sounds very cringe ngl

    Tell me again which part of your reply is telling me, you are actually interested in an objective discussion, without assuming things and wanting to start a fight for no reason.

    I struggle to find that part.



  • earmuff@lemmy.dbzer0.comtoScience Memes@mander.xyzBreast Cancer
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    2 months ago

    I don’t think my reply was hostile, I just criticized your behavior assuming things, before you know the whole truth. I kept everything neutral and didn’t have the urge to have a discussion with someone already on edge. I hope you understand and also learn that not everything is entirely evil in this world. Please stay curious - don’t assume.





  • earmuff@lemmy.dbzer0.comtoScience Memes@mander.xyzBreast Cancer
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    2 months ago

    My intended use case is to find possibilities how ML can support people with certain tasks. Science is not political, for what my technology is abused, I cannot control. This is no reason to stop science entirely, there will always be someone abusing something for their own gain.

    But thanks for assuming without asking first what the context was.



  • earmuff@lemmy.dbzer0.comtoScience Memes@mander.xyzBreast Cancer
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    2 months ago

    That’s the nice thing about machine learning, as it sees nothing but something that correlates. That’s why data science is such a complex topic, as you do not see errors this easily. Testing a model is still very underrated and usually there is no time to properly test a model.


  • Serious question: is there a way to get access to medical imagery as a non-student? I would love to do some machine learning with it myself, as I see lot’s of potential in image analysis in general. 5 years ago I created a model that was able to spot certain types of ships based only on satellite imagery, which were not easily detectable by eye and ignoring the fact that one human cannot scan 15k images in one hour. Similar use case with medical imagery - seeing the things that are not yet detectable by human eyes.