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Joined 2 years ago
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Cake day: August 6th, 2023

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  • Petkauskas’s article describes the discovered breach as “a plethora of supermassive datasets, housing billions upon billions of login credentials” that have been sourced from “social media and corporate platforms to VPNs and developer portals.” This data is sourced from “30 exposed datasets” that researchers say contains “tens of millions to over 3.5 billion records each.”

    To be clear, this is not a new data breach, or a breach at all, and the websites involved were not recently compromised to steal these credentials

    Regardless of whether this involves freshly leaked credentials or not, it might be a good time to freshen up your logins. Hackers’ jobs are getting easier by the day.




  • 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.


  • souperk@reddthat.comtoFediverse@lemmy.worldFirst draft woes
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    2 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.












  • What an interesting read! The food analogy instantly made sense to me, I am wondering if other people had the same experience?

    What is the point of all this, you may wonder? Well, reading Postman provided a big eureka moment for me - an understanding of why I struggle so much to convince my friends to abandon commercial social media in favor of the Fediverse. Drum roll: the Fediverse may be missing a clear, cohesive narrative.

    Technically the Fediverse has everything one would need to enjoy independent social media, away from the surveillance capitalism that powers Big Tech. What has been difficult is finding a story, a simple narrative anyone could follow that would explain WHY the Fediverse is the most empowering, most ethical technological solution out there for social media.

    I have come to see the Fediverse as the equivalent of organic, plant based, home-cooked meals and by contrast I see TikTok, Instagram, X, Threads, Snap and other platforms by Big Tech as the equivalent of Big Food – brands like Coca Cola, McDonalds, Nestlé, that promote ultra-processed, highly addictive foods and beverages, contributing to an epidemic of obesity, type 2 diabetes and other diet-related diseases.



  • I know you are asking for something different, but since there are already a few good answers, allow me to instead to reject the premise and give you a different.

    It’s not impossible to implement an AI solution within the context your provided. The problem is that it’s going to be expensive. However, you can offer to deliver something smaller, focus on the smallest but valuable contribution you can make. While cleaning up the data is still going to be a hell of task, if the scope is small enough it can be achievable. Then, you can communicate the difficulty to scale due to data issues which can help management undestand the importance of prioritizing data quality.

    If you have a bunch of sales data, maybe you can focus on deriving purchase patterns and build a simple recommendations engine. If you want to focus on marketing, you could try lead classification. Ideas depend on the domain of the company you work for.