• 2 Posts
  • 19 Comments
Joined 2 years ago
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Cake day: August 6th, 2023

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  • Hey, I was fired last July and I went through the same process, I actually asked a similar question on Lemmy and the feedback I received helped a tonne in landing more interviews.

    Here are the steps I believe helped me:

    1. Make sure your CV is machine parseable, search for open resume, upload your cv see what it detects. Ideally, generate your CV using that tool.
    2. Create your own portfolio website, here is mine for reference https://souperk.gr/ (I have a public repository, feel free to copy if CSS isn’t your strong suite)
    3. Check that toggle on LinkedIn to signify you are actively searching atm (don’t remember how, but you should see a ribbon on your avater if it’s active)

    For me, landing more interviews was the hard part. Once I got a few interviews going, landing an offer was easy.



  • I like Arc’s user experience with vertical tabs. They are bigger, easier to organize and they are cleaner. Also, the sidebar toggle is hard to work with, ideally I would prefer the ability to toggle with a shortcut or reveal on hover.

    Aside Arc, Zen browser has a good vertical tab experience.

    Overall, I still main firefox for my personal browser, though it’s UX is still lacking.



  • souperk@reddthat.comtoFediverse@lemmy.worldFirst draft woes
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    8 months ago

    So you are basically building a classifier that tries to assert if a user will like a video. While many are against any kind of “algorithm” within the fediverse, I believe that it’s a necessity. But, I think allowing users to tag content and then building classifiers that allow you to filter based on that would be a more aligned with the fediverse.

    Anyway, cosine similarity has worked for a lot of things, so I think it’s a solid foundation to get you started. Another thing you can try is using an embedding model, specifically a model that receives a segment of a video and yields a matrix with the property that similar input will result in outputs relatively close to each other (cosine or euclidean distance).

    Another thing to consider is building a platform that will permanently store data. If you can come up with a set of endpoints, I can implement something in python to get ypu started. I don’t have experience with video processing so I cannot help you with that, but the crud aspect is no biggie.





  • While the consumption for AI train can be large, there are arguments to be made for its net effect in the long run.

    The article’s last section gives a few examples that are interesting to me from an environmental perspective. Using smaller problem-specific models can have a large effect in reducing AI emissions, since their relation to model size is not linear. AI assistance can indeed increase worker productivity, which does not necessarily decrease emissions but we have to keep in mind that our bodies are pretty inefficient meat bags. Last but not least, AI literacy can lead to better legislation and regulation.







  • https://en.m.wikipedia.org/wiki/Messier_object

    The Messier objects are a set of 110 astronomical objects catalogued by the French astronomer Charles Messier in his Catalogue des Nébuleuses et des Amas d’Étoiles (Catalogue of Nebulae and Star Clusters). Because Messier was only interested in finding comets, he created a list of those non-comet objects that frustrated his hunt for them. The compilation of this list, in collaboration with his assistant Pierre Méchain, is known as the Messier catalogue. This catalogue of objects is one of the most famous lists of astronomical objects, and many Messier objects are still referenced by their Messier numbers. The catalogue includes most of the astronomical deep-sky objects that can easily be observed from Earth’s Northern Hemisphere; many Messier objects are popular targets for amateur astronomers.

    https://en.m.wikipedia.org/wiki/Ship_of_Theseus

    The Ship of Theseus is a thought experiment about whether an object which has had all of its original components replaced remains the same object