I want this but as a Linux distribution.
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@mcc oh yikes wtf please not bitwarden
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@mcc I do think we (as a comunmity) should build a database of public repos that have any genAI related commits/config files, that would be a good start to flag thoses.
@mary@chaos.social someone did this and people immediately started using it as a list of people to start targeted harassment campaigns against
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My understanding is that Bitwarden and KeePassXC, the two open source password managers, are *both* using random code generators at this point, which is terrifying as those are the exact tools where a small error could have the largest negative impact, and also tools that once you've committed to using it you can't quickly back out if they enter a code quality decline
@mcc Excuse an undereducated question from a long term 1password user who is going to move from it now: is the issue with “random code generators” that random passwords generated by these apps are easy to crack?
I’m looking at moving to Keepassium and as I understand it each of these apps in this family have different code to do password generating and are thus all different.
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@mary@chaos.social someone did this and people immediately started using it as a list of people to start targeted harassment campaigns against
@leo urgh I hate this 🙃
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@mcc Excuse an undereducated question from a long term 1password user who is going to move from it now: is the issue with “random code generators” that random passwords generated by these apps are easy to crack?
I’m looking at moving to Keepassium and as I understand it each of these apps in this family have different code to do password generating and are thus all different.
@johnlehet Software is a chaotic system. A small change in one part of a program can have unpredictable effects on other parts of the program. "Large language models" are statistical systems which create asemic strings designed to fool a human into believing they're looking at real text.
In other words a mistake introduced by an LLM may be significant, a human may not catch the error, and security flaws could result. This is BEFORE getting into the ethical issues with running the system at all
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My understanding is that Bitwarden and KeePassXC, the two open source password managers, are *both* using random code generators at this point, which is terrifying as those are the exact tools where a small error could have the largest negative impact, and also tools that once you've committed to using it you can't quickly back out if they enter a code quality decline
@mcc I'd argue that password managers are very easy to jump between. They tend to have good export and import functions. I've transitioned from keepass to dashlane to bitwarden to vaultwarden with little effort.
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@ariadne I am, in a flippant and general way, saying I want to eradicate all code with "AI code assistant" contributions from my computer and VPSes, but I do not currently know a way to do so. I keep having programs I previously installed add the poison after the fact without public notice. https://mastodon.social/@mcc/116110912928005524
Perhaps in future I will have to use Alpine Linux if that's how I get my code audited for no "AI" contributions.
@mcc to be clear the proposed anti-AI policy only applies to the alpine project itself.
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@mcc I'd argue that password managers are very easy to jump between. They tend to have good export and import functions. I've transitioned from keepass to dashlane to bitwarden to vaultwarden with little effort.
@LovesTha if i can export between password managers, but both password managers are infected with the same problem, does this help? what's dashlane? is it good?
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@mcc to be clear the proposed anti-AI policy only applies to the alpine project itself.
@ariadne okay. when i said "linux distribution" i was thinking "a collection of all the software you need to run a computer system" as that's what a distribution traditionally meant. (the existence of flathub somewhat complicates what i want, but like I said, I was being vague and flippant)
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@johnlehet Software is a chaotic system. A small change in one part of a program can have unpredictable effects on other parts of the program. "Large language models" are statistical systems which create asemic strings designed to fool a human into believing they're looking at real text.
In other words a mistake introduced by an LLM may be significant, a human may not catch the error, and security flaws could result. This is BEFORE getting into the ethical issues with running the system at all
@mcc Yes. I get that. So when you say “random code generators” you mean various LLMS inputting into the code base? Damn. I thought you meant that AIs were involved in the password generation, which as I understand it would also suck badly.
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@mcc Yes. I get that. So when you say “random code generators” you mean various LLMS inputting into the code base? Damn. I thought you meant that AIs were involved in the password generation, which as I understand it would also suck badly.
@johnlehet Yes; I am attempting to describe the product sold as "AI code assistants" without using the word "AI". It did not occur to me that "code" was ambiguous/a pun when I made the post.
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@mcc Yes. I get that. So when you say “random code generators” you mean various LLMS inputting into the code base? Damn. I thought you meant that AIs were involved in the password generation, which as I understand it would also suck badly.
One thing for sure, I’ve got a fire under my butt to get out of 1password pretty quick.
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RE: https://mastodon.scot/@kim_harding/116108957641748718
I want this but as a Linux distribution. I don't think I'm asking for much here. I am just asking for the "open source community" to be to the left of Goldman Sachs
@mcc I so want this too. Moreover, I want some kind of standard/standardized compact/agreement/declaration/license that F/OSS projects individually could reference to declare that they agree with and enforce this stance: no "AI" contributions whatsoever. Have not yet found such a thing.
I agree that the distro level is the right place for this, but there's an argument to be made that it should go all the way down.
Gli ultimi otto messaggi ricevuti dalla Federazione
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Quizzino della domenica: dadi riordinati
@matematica - Riordinare i dadi non è sempre facile.
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@danjones000 @Matt_Noyes It does not hurt to try to reduce those emissions; reducing any emissions is good.
But shaming people for using AI as if they are solely responsible for climate change is intellectually dishonest.
There are plenty of other problems with AI; "burning up the planet" is not a convincing one.
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Quieting Noisy Resistors
[Hans Rosenberg] has a new video talking about a nasty side effect of using resistors: noise. If you watch the video below, you’ll learn that there are two sources of resistor noise: Johnson noise, which doesn’t depend on the construction of the resistor, and 1/f noise, which does vary depending on the material and construction of the resistor.
In simple terms, some resistors use materials that cause electron flow to take different paths through the resistor. That means that different parts of the signal experience slightly different resistance values. In simple applications, it won’t matter much, but in places where noise is an important factor, the 1/f or excess noise contributes more to errors than the Johnson noise at low frequencies.
[Hans] doesn’t just talk the math. He also built a simple test rig that lets him measure the 1/f noise with some limitations. While you might pretend that all resistors are the same, the test shows that thick film resistors produce much more noise than other types.
The video shows some rule-of-thumb lists indicating which resistors have better noise figures than others. Of course, resistors are only one source of noise in circuits. But they are so common that it is easy to forget they aren’t as perfect as we pretend in our schematics.
Want to learn more about noise? We can help. On the other hand, noise isn’t always a bad thing.
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@sako this looks so beautiful!
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@danjones000 @Matt_Noyes electricity is only about 1/3 of global emissions. All data centers, including AI datacenters, are only 1% of electricity usage. That makes 0.3% of total emissions.
Much more emissions are due to cars, meat, cement production and rice cultivation.
I recognize that AI has a lot of electricity use; it is nothing compared to the other things you do with your time.
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Energy from training
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Oh no, Deep Space Nine auto-played after Starfleet Academy. Now I have to watch the whole thing for the third or fourth time. No other option, I guess.
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Another application for AI. Have an AI bot go to a conference for me and listen to everything. Only tell me about the things that I would be interested in.
