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Joined 3 years ago
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Cake day: June 18th, 2023

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  • Bacon fat can be used as a replacement for cooking oil in a pan or anywhere you would use grease while cooking. One of my favorite things to do with it is grease a cast iron skillet and bake cornbread in it (you get smoky bacon flavor crust). It also works great as a butter replacement for frying eggs or hash browns. You can also use it as a fat base to make gravy.

    If you run the bacon fat through a coffee filter while it’s still hot & liquid (into a glass jar) it will be shelf stable at room temperature. Cone coffee filters are convenient for this.

    If you don’t filter it you must store it in the refrigerator, or else the leftover bits of meat in the fat will go rancid and start to rot.


  • No, we’re talking about companies scraping hundreds of millions if not billions of labor hours of output to train their models for the sake of developing software products which they then sell for profit.

    Every model that was trained on legally acquired free public data and open source code should be freely publicly available and open source.

    Every model that was trained on not legally acquired public data (e.g. Meta’s models) should be taken out of production until all of the lawsuits are concluded, and hopefully the parties responsible are put out of business.

    I’m not talking about future, potential labor that AI might replace. I’m talking about the labor which was stolen to produce these models in the first place.

    But, please use AI.


  • Please identify the issues with the LLM generated code.

    Why would the issues be obvious and easy to point out? Most issues with code aren’t. If they were, we wouldn’t have Patch Tuesday, a direct code review would prevent issues from shipping in the first place.

    Throwing this out as if it means LLM code is acceptable and ends the argument is ridiculous. Do you have any grasp of how software vulnerabilities are discovered at all?








  • Well… the first colleges were established to train clergy, because reading and writing were rare skills at the time, and there was a demand for trained clergy who worked as clerks, accountants and record keepers for nobles who could not themselves read or write, which I think just circles back to the workforce productivity thing.

    This is also true for Confucian schools in China. The students were not clergy in the religious sense, but they learned reading, writing and tradition in order to become useful administrators for local rulers.





  • NaibofTabr@infosec.pubtoMemes@sopuli.xyzsystemd
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    23 days ago

    The Tragedy of systemd - presentation by Benno Rice

    What I hope that this talk has provided is a removal of fear and particularly a removal of pity of SystemD and the people who actually use it. […] So, yeah, what I would challenge everyone here is look at SystemD and try and find at least one thing that you like, and then go see if you can implement it. Thank you.


  • The rise of generative AI is the death of picture or video evidence.

    And the written word, as useful information is buried under mountains of generated trash.

    No one to date knows what the real consequences of this will be.

    Dark Ages II

    Call me crazy, but maybe we shouldn’t be allowing people to work on such “advances” if they don’t have the humanities/social sciences background to understand the consequences.

    Consequences be damned! We have quarterly earnings reports to worry about!


  • It could be really useful for various social or psychological research

    The only application I can see for such research would be to extend and refine the distopian use cases. What else would such research be used for? It will only feed back into the cycle of privacy invasion and the surveillance state.

    … or monitoring patient status.

    Impersonal patient status monitoring (beyond vital statistics like heartbeat monitoring which we can already accomplish much more easily) will not have any practical benefit. The most likely outcome is that it will be used to justify reduced nurse staffing.