I’m sorry, I have no idea what point you’re trying to make.
I’m sorry, I have no idea what point you’re trying to make.
I’m not talking about a “sense of duty,” I’m talking about actual responsibility. Lemmy users don’t have a high level of responsibility for the server they use. Admins and mods do.
You are the instigator here, don’t twist the facts.
You are literally inventing things to be outraged about. Do you just really enjoy conflict and drama?
Police have a duty to enforce the law, and when they ignore other officers breaking the law they are failing their duty to society. Do you think ML users have a duty to control what other ML users post? That’s the mods/admins job, regular users don’t have any special privileges on Lemmy.
This right here is why ML has the reputation it does.
What I consider a “better interface” is almost certainly not what a new user would consider a “better interface.”
Mobile operating systems (Android, IOS) don’t give the user enough freedom to understand how the system works, the best you can hope for is an understanding of how to use the technology. Knowing how technology works is very different from knowing how to use technology.
Your other post really makes it sound like you think people use GrapheneOS to hurt Google’s business model.
GrapheneOS runs Google play services in a sandbox (rather than as a system level app) and randomizes the advertiser ID, IIRC.
People don’t use GrapheneOS to avoid giving Google their money. They do it to protect their privacy.
Those are libraries used by user space applications. Most distros won’t boot without them, but you can still get into a recovery shell.
I don’t know what, if any, CS background you have, but that is way off. The training dataset is used to generate the weights, or the trained model. In the context of building a trained LLM model, the input is the dataset and the output is the trained model, or weights.
It’s more appropriate to call deepseek “open-weight” rather than open-source.
I used the word “source” a couple times in that post… The first time was in a general sense, as an input to generate an output. The training data is the source, the model is the “function” (using the mathematics definition here, NOT the computer science definition!), and the weights are the output. The second use was “source code.”
Weights can be changed just like a compiled binary can be changed. Closed source software can be modified without having access to the source code.
The weights aren’t the source, they’re the output. Modifying the weights is analogous to editing a compiled binary, and the training dataset is analogous to source code.
Was it sold as pure NaCl? Probably not…