infosex.exchange <3

You are probably looking for the infosec.exchange Mastodon instance

This host is mostly for my random stuff, and in little part acts like a well-intentioned placeholder for the typosquatted domain.

Discoverability and Archiving

Currently I'm using this host for saving the items from my own feeds to the Wayback Machine and provide in-links for search engines. I hate that I have to do this, but the non-sense ideology of Mastodon pretty much ruined the search feature for Fediverse as a whole, and this wasn't changed by the fact that they owned their mistake and implemented search eventually.

Yes, I (or anyone else) could do similar things with other peoples published feeds, regardless of the tantrum. No, you can't defederate this, because the process doesn't rely on an instance.

Gluttony Section for Search Engines

Why Simple Everyday Objects Are Impossible to Make

https://www.youtube.com/watch?v=pj0ze8GnBKA
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Another fun tidbit:

```
if my_type.is_func():
for _ in my_type.iter_func():
pass
```

...sometimes(!) results in a 'Type is not a function' TypeError

#fml #IDA
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@algernon I started to dig into Rocket's documentation, and it looked well thought out, but stopped before I really got into it. May worth a look: https://rocket.rs/
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A post-American, enshittification-resistant internet

https://media.ccc.de/v/39c3-a-post-american-enshittification-resistant-internet

Damn this is a good talk! #39c3
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TIL about Lockheed's System-User-Engineered minicomputer which seems like a pretty cool modular hardware system for purpose-build computers:

http://www.bitsavers.org/pdf/lockheed/sue/SUE_Computer_Handbook_Jul73.pdf

I still don't know what tinfo_t.is_sue() does though.
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Fine, I'd accept if documentation wasn't actively lying to my face:

https://python.docs.hex-rays.com/classida__typeinf_1_1array__type__data__t.html#a9740d10e79d54aee5b4423adbe9a1881
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I recently saw a lot of examples of using LLMs when you could get away e.g. with and API call, but now I think I found the perfect example of LLMs being more niche then even skeptics (like myself) think they are:

Even skeptics have to admit that LLMs are very good at natural language translation. @kagihq introduced a fast ("Standard") #LLM for its translation service that seems to fail miserably if you try to translate single words for less common languages:

https://kagifeedback.org/d/9373-standard-translation-is-unusable-for-hungarian

My point is that doing a dictionary lookup for all words (~1mil for English) could be done on a disposable vape in no time with better results, incl. clear indication of lookup failures, so you can fall back to your GPUs when needed.
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[RSS] Why is the last letter of my string not making it to the clipboard?

https://devblogs.microsoft.com/oldnewthing/20251225-00/?p=111914

(I use Linux and X11, usually none of my string makes it to the clipboard)
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Who's watching #DieHard 4 tonight? :)

https://www.youtube.com/watch?v=OTyw6cq86kY
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@pancake Yes, it's SWIG
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