adderaline

he looks like a wax figure holy shit

Open models is the way to battle that.

This is something I think needs to be interrogated. None of these models, even the supposedly open ones are actually “open” or even currently “openable”. We can know the exact weights for every single parameter, the code used to construct it, and the data used to train it, and that information gives us basically no insight into its behavior. We simply don’t have the tools to actually “read” a machine learning model in the way you would an open source program, the tech produces black boxes as a consequence of its structure. We can learn about how they work, for sure, but the corps making these things aren’t that far ahead of the public when it comes to understanding what they’re doing or how to change their behavior.

its from the DMX track “X gon’ give it to ya”. it came out in 2002.

so, the only way to address the problem of sexual violence in hospitals is just to divide the population in two? this is just like the bathroom bullshit. if you’re assuming that trans women are rapists, you are a transphobe. if you’re assuming that sex-segregated wards are a useful deterrent to rape, you’re an idiot. the thing stopping people from hurting patients in the hospital is the hospital. the staff, the doors, the nurses, the help buttons beside each bed, the check-ins by doctors and nurses.

so should we segregate our hospitals too? i’m sure you could find some examples of interracial violence if you cared to look. maybe the poor people should get their own ward, we all know the poors are more likely to be criminals! the argument you’re using right now is one that has been used against minority groups since antiquity. all people are capable of violence. that you focus only on the violence of a single case, and use that to justify discrimination? that is not “common sense”. it is prejudice.

its not nonsense, its a well documented part of trans discrimination. trans people are commonly treated as if they are cis, and many doctors just don’t have the kind of awareness of HRT’s effects that you seem to think is commonplace. like, more than half of trans people have experienced medical discrimination. trans people are routinely confronted with medical professionals that refuse to acknowledge their medical histories. trans people have quantifiably worse physical health outcomes even when they do get care. i have not met a single trans person who hasn’t experienced at least some kind of barrier to care. doctors refusing to perform mammograms, doctors who haven’t even heard of HRT, doctors turning trans people away at emergency rooms. there is tons of data out there about this problem that you’re refusing to believe even exists.

i’d like to see how you’d be measuring “performance” in this context, or what you consider to be worthy of merit, because those things are not the objective measures you seem to think they are.

people who are contributing to open source projects are not a perfect Gaussian distribution of best to worst “performance” you can just pluck the highest percentile contributors from. its a complex web of passionate humans who are more or less engaged with the project, having a range of overlapping skillsets, personalities, passions, and goals that all might affect their utility and opinions in a decision making context. projects aren’t equations you plug the “best people” into to achieve the optimal results, they’re collaborative efforts subject to complex limitations and the personal goals of each contributor, whose outcome relies heavily on the perspectives of the people running the project. the idea you can objectively sort, identify, and recruit the 50 “best people” to manage a project is a fantasy, and a naive one.

the point of mandating the inclusion of minority groups in decision making is to make it more likely your project and community will be inclusive to that group of people. the skillsets, passions, and goals that a diverse committee contains are more likely to create a project that is useful and welcoming to more kinds of people, and a committee that is not diverse is less likely to do so. stuff like this is how you improve diversity. in fact, its quite hard to do it any other way.