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Zürich has such a big problem with apartment fraud that the police has a specific department working on just this.

I have first hand experience with a similar fraud in Zürich. I had an apartment which I looked for a new tenant to. During my search there was a ”woman” that contacted me and said that she was interested. She behaved really weirdly and couldn’t come on the showing, but requested some videos. I didn’t think more about it and send over a ”digital showing” where I showed certain parts of the apartment. We later found a new tenant and she moved in. I didn’t think more about it.

Fast forward 3 months and a random man knocks on my door during the morning. He asked if I was <insert my name>, and I said yes. He then asked if I rented out the apartment above (which was my old apartment). After explaining that we’d already found a tenant for it, he just said: ”F*ck, then I‘ve been scammed“.

It turned out that this strange ”woman” actually just used me as one side of their scam, getting credible videos where I talked and showed the apartment. The scammers then used all my ad pictures, my name and address to put up a fake ad.

He moved from Austria and paid ~2000 euro in deposit, then arrived to an apartment that was already rented out. He showed me a fradulent contract and my videos I previously sent.

After all of this, I did an image search using my apartment pictures, and found and took down 3 fake listings on different websites.


Pfizer recently released that they’re planning to send in their new Lyme vaccine to regulatory authorities after their phase 3 study: https://www.pfizer.com/news/press-release/press-release-deta...


The article was well written, really enjoyed it and I learned something as a Swiss citizen using this outlet every day! But I agree with the other commenters, I would replace the AI generated images with something else, they drag drown the articles credibility IMO


I would get rid of just the irrelevant images and leave the others. There are a few that are actually helpful.


I work the email security company xorlab[0], where my colleagues and I did a thorough analysis of real subscription/email bombing waves that we saw at our customers[1].

Here are some interesting additional information from the attacks we analyzed:

* Email bombing as a service is a thing, where you can buy 10,000 credits for $10 and easily bomb target inboxes with over 2000 emails per hour.

* Most all email bombing attacks starts in the morning, between 8-10.

* Most common day of attack is Friday

[0] https://www.xorlab.com/en/

[1] https://www.xorlab.com/en/blog/from-chaos-to-control-insight...


A bit of cold water on a hot pan isn't a problem, but one should be a bit careful when pouring a lot cold water on hot pans, as they can warp


Or shatter, if they are cast iron (a.k.a. black iron).



Volvo Trucks is a different company than Volco Cars, and has nothing to do with Geely


Deepseek R1 paper that the blogpost is written around: https://arxiv.org/pdf/2501.12948


This has happened for a while. In February of this year, the same attack vector was used in an attack to trick developers into thinking that they'd got a job offer from GitHub: https://www.xorlab.com/en/blog/phishing-on-github


This is a while back, but I designed and built an AI-art installation from scratch, where I trained a GAN network to generate abstract art. The generated images was shown on a Samsung The Frame, and below the screen was a button. If you pushed the button, a new and unique piece was generated and shown on the screen.

If you're interested in doing something similar, I wrote an extensive guide of how to build it here: https://github.com/maxvfischer/DIY-ai-art.

The guide doesn't include the ML part, so that you will have to learn on your own and integrate into the project :)


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