5,521 karma · joined December 10, 2022
Email: raptors_03pout@icloud.com
In fact, we're increasingly seeing a desire to build the "backdoor" directly into the software, e.g. mandatory age verification, client-side scanning, etc.
[1] https://support.claude.com/en/articles/16266773-how-claude-m...
I can't tell you which ones off the top of my head, but I'm sure a number of package managers do use constraint solvers to find dependencies matching the constraints.
I've heard variations of this all the way back to some 1990s vocational IT courses in the country I live, and it wasn't even technologically advanced at the time. It's hard to have any sympathy for someone who misses this concept in today's age.
They have to find a job that allows them to do that, and such jobs are increasingly difficult to find.
Where I'm based, even though it might be the smallest startup that could save a good bit by getting rid of their office costs if they gave people WFH, they won't.
While my advice is specific to learning about codebases, the way I do it is to have it generate mock data and put it in the local development environment, and give me some exploratory commands, and then ask away. It's a machine after all, so I don't have to read its preceding prose to understand whether it did tell me something, it can just repeat it however many times I ask it, and the hands on commands etc. give me something to actually try and implement.
I'm sure saner heads like their legal people would prevail at some point, but until then...
I've been thinking of doing the same since the models will often take design decisions that I am not a fan of, or make changes in a way that is easily understood by me, which leads to tech debt and being unable to anticipate what it will take to deliver a certain feature (e.g. whether we should build on top or build from a clean slate, etc.)
The point of these campaigns is to eventually invoke some sort of response from the government, such as banning open models, which OpenAI (and Anthropic) stand to benefit from.
The case for data centers in the age of AI is weaker, and the only effects for the average person are noise, pollution, higher electricity costs, higher water costs, for the ultimate "benefit" of losing your job.
As for the squiggler, put a wrist watch or something underneath it?
Although, it is possible that it was unintentional as the model was RLHF'ed into memorizing images.
Given the recent Anthropic ruling and OAI settlements, and the general stance of courts to look the other way when it comes to LLM use, I think an exemption for LLM-based software will be handwaved into existence (to my regret.)
I'm sure that if we were talking about a corporate entity, then people would have retorted with how "no one reads the ToS" and "most ToSes are unenforceable", and guess what? In a world where significant AI assistance is becoming common, finding out which project is AI generated or even knowing the level of AI assistance is well nigh impossible and could be very well unenforceable.
Edit: It has come to my attention that Codeberg is a registered association[1]. It would be "fun" to see them argue about how they may argue that an AI assisted project has "harmed their reputation".
[1] https://en.wikipedia.org/wiki/Registered_association_(German...