Don't Take the Black Pill [video](youtube.com) |
Don't Take the Black Pill [video](youtube.com) |
As a mapper[2], that knowledge now gets subconsciously checked for matches and usefulness against all the other chunks of knowledge I'm fairly certain of.
The first thing that popped out (and there will be more over the next 24+ hours) is that y'all are black pilled about computers and security. You believe, incorrectly, that computers can't be safe AND secure AND easy to use all at the same time. I believe otherwise, and this might help convey that at some future point.
Currently my best hope is that the upcoming release of Genode offers a way forward. Their roadmap[3] features this line when describing the upcoming release
Sketch of a capability-based desktop environment
[2] https://garden.joehallenbeck.com/container/mappers-and-packe...
People generally don't like the AI using their code for a few reasons, one is replacement, like an AI can just copy your project without attribution. Two is that it feels like you are providing value for a soulless corporate machine without compensation.
If a person uses your code you get maybe happy that it was useful and maybe something cool gets made out it. If an AI uses your work it feels like you just did free labor.
I don't feel like Andrew made any particularly great points, but comments both here and on the youtube link have mentioned really liking that point.
What they completely missed was that LLMs are a golden opportunity for the corpo-ratfuckers to completely work around the issue of those pesky OS licenses. Who cares if it's GPL/AGPL, just run it through the slop machine and everything is fine.
Open-source doesn't exist in a vacuum, they rely on inherently restrictive licenses to force corporations into contributing back instead of just sucking up everything.
In 2001 I had a guy at Oracle tell me it was a suckers game to write open source code.
I've had M$ heads tell me ruby was a joke that would never amount to much because you couldn't use it in a "real business".
I've had bad phil bros tell me in 2004 that open source was "anti american communism bullshit".
It's ok to be a humanist and not a corporatist.
It's ok to show generosity.
It's ok to reject the crab bucket framing.
Some of us are mature enough to be ok living in a better world even if still imperfect.
If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.
Note this one: "Don't be snarky."
The issue is that all attributions get stripped away by the LLM (even in cases where it is trivial to avoid). For example, as a test, I asked DeepSeek to tell me how one can do an exact substring-boolean-test in Common Lisp, and it gave me code that was, character for character, _identical_ to the code that appears in Seibel's Common Lisp Book. It clearly memorized the code. It stands to reason, that it could have also memorized where it saw it, and been trained to tell the user that the code was from that book (which is NOT in the public domain, despite being free to read on the internet)[0].
To give you an analogy, nobody has a problem with someone downloading and distributing the public domain works of Leo Tolstoy or Charles Dickens or Jane Austen or Karl Marx, etc. But to remove their names from those works, and placing your (or someone else's) name on them instead, is plainly malicious behavior. Such behavior needs to shunned.
LLMs (I believe) _can_ be trained to not plagiarize. They do not have to be original, nor to use public domain training-data, they just have to give attribution (which, as far as I can tell, requires little more than a corpus and a stack of similarity-measures).
I suspect that they are not trained this way, because fully automated plagiarism creates an ambiguous situation, where a copyleft license (like GPL or EUPL etc) can be unknowingly violated, and there is hardly any trace of the violation. Plagiarism is the product.
[0]: Such attribution can only make LLMs _more_ useful and _more_ widely and confidently integrated into workflows. The lack of such attributions, risks diluting the value of open source projects, as (1) a high-signal indicator of skill and achievement, and (2) a way to ensure the provenance and quality of the code (both very important, if you are considering to build a business on top of one or more such projects). Just look at all those repos that claim to have "made" Minecraft-like game or Unix-like OS, when all they did was have an LLM plagiarize the code for them. This is a kind of, at best, spam and, at worst, fraud.