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"I'm interested in all kinds of astronomy."
@freddy Spam the web with a gazillion LLM-generated articles about the benefits of the safer approach and it'll be included in the the model
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I really recommending reading this.

In summary, a company which does ID verification for in-person interactions (hotels, car rentals, ID verification for alcohol or marijuana, etc) has some how exposed over 153,000,000 drivers licenses for people in the United States and Canada.

It is a catastrophic data breach, probably one of the worse I've ever seen. If you're in the United States and have traveled, gotten a hotel, purchased marijuana or alcohol, there is a high probability you're in this.

Unlike other breaches, this includes a photo of the person (from the license), making verification you've identified the person significantly easier.

This poses a significant threat to celebrities (musicians, YouTubers, streamers, adult entertainers, actors, etc), politicians, lawyers, wealthy people (CEOs, investors, people of public interest), Law Enforcement Officers, etc

Krebs himself, and several other security researchers, have already confirmed they're in the data leak.

tl;dr gah damn dawg this company is going to be sued into oblivion

https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/

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Have you ever used security questions provided during install to reset a Windows password?
7% Yes, on my own account
0% Yes, on someone else's account
50% No
42% I'm pure, I don't touch Windows
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Dawg, they got Pete Hegseth in the data breach. It's available for sale for $100
https://bird.makeup/users/vxunderground/statuses/2094961551807545493

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We've been thinking about a lot about the language design of expressing lifetime restrictions and dependencies for non-escapable types in Swift, and I put all that into a long and somewhat rambling design paper which folks might find interesting.

https://forums.swift.org/t/a-possible-type-based-model-for-scope-restrictions-on-escapable-types/88856

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@internetarchive "your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should"
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Related to the network incident, I rediscovered the masterpiece called xbill.

Why don't we have similar memes with Altman, Amodei & co.,?
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To follow-up on my #DistributedComputing quest, these kinds of articles tickle my brain just the right way:

A Brief Tour of FLP Impossibility
https://www.the-paper-trail.org/post/2008-08-13-a-brief-tour-of-flp-impossibility/

On the other hand how the Hell do I turn off dark mode so I can actually read the keywords?!?! I'm not educated enough for this much computering!
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I had a network issue.

It *was* DNS.

I *can't* say it was #systemd, as it turned out that two-beers-too-much me plugged a cable to the wrong port.

I *can* say though that I could've debugged the issue much faster if systemd gave me any meaningful logs :P
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Our friendly periodic reminder that we need your cat-and-music-gear pictures! Please include your cat's name 😻🎹

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felt sexy, might delete later


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The articles already published in the Exploiting Reversing series (ERS) are now hosted on a new website:

https://blackstormsecurity.com/research/

Future articles will be published primarily at this new address, and for a time, I will also publish them on my personal blog.

The series will continue with many more articles, which some are coming soon. Stay tuned.

Have an excellent day.

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A while ago I asked for recommendations about books on #DistributedComputing.

While far from a book, this summary provides a lot of really useful pointers to follow:

https://ferd.ca/a-distributed-systems-reading-list.html
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Hear me out: Pimp my own Printer!

I need sticker ideas!

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A cyberattack last week disrupted medical technology maker Boston Scientific's global operations, affecting remote monitoring capabilities of some of its new cardiac devices.
https://www.databreachtoday.com/hack-hindering-boston-scientific-cardiac-device-monitoring-a-32688

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ロゴ案

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[RSS] Don't Let Abliteration Abliterate Your Bug Hunting: Discovering Verdict Bias in Uncensored Models

https://clearbluejar.github.io/posts/does-abliteration-skew-your-bug-hunting/
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