I’m also interested in this for using stremio from phones and PCs. Chromecast in particular also kinda sucks due to limited codec support.
I’m also interested in this for using stremio from phones and PCs. Chromecast in particular also kinda sucks due to limited codec support.
Yeah same, except it was later overturned where I live and they came right back. Luckily, at lesser numbers, because more of us were used to bringing our own by then.
Just wanted to add that event digitizing older records these days is better. Some hospitals do make old scanned notes indexed and searchable through OCR now.
It’s a bit delayed to be responding to this comment, but I wanted to in case op is still hanging around this thread.
He doesn’t necessarily need to be worried about ‘looking different’. A lot of trans people, and trans men in particular, completely pass. Testosterone is strong as hell. People just always stick with their ‘we can always tell’ talking points, because when they see passing trans people, they don’t assume they’re trans.
The phrasing behind your second point is kind just of a rehash of a common anti lgbtq sentiment. The problem is, at least anecdotally for myself, that the people who would harass you consider that to be anything showing you’re in some form queer or showing any pride in who you are. It’s essentially a demand that people entirely hide part of them if they want to to be treated with respect.
https://www.npr.org/transcripts/676543180
A nice npr segment where they talked about mattress store because there are a bafflingly large number of them.
Even in this comment there’s a distinct lack of recognition of the extent that hormones, and testosterone specifically, are responsible for dimorphism. People commonly think that the list of secondary sex traits is much shorter than it is and underestimate the effects of hormone therapy.
The Olympics have allowed trans athletes to compete as their gender identity since 2004 and yet trans women have not done well. One trans person has ever medaled. It was in a team sport by somebody who didn’t have male puberty. There has been one trans woman competing in weight lifting, she didn’t complete her lifts.
As far as I’m aware, the only sport where we have specifically studied athletic performance is distance running (https://www.researchgate.net/publication/307766116_Race_Times_for_Transgender_Athletes), where no advantage was found.
I’m also not sure I agree on what you personally define as transphobic. If you consistently other trans people and refer to them as separate from the rest of their gender, that’s transphobic. For dating, there are a number of reasons why you may not want to date somebody. Genital preferences are a real thing and are absolutely a good reason not to date somebody. There are plenty of artifacts of being trans that are reasons to exclude somebody from who you date, but if the only reason you won’t date somebody is that they’re trans, that would still be transphobic.
It’s a good idea in a world where that child is aware of their gender identity (which many people develop far earlier than when puberty starts) and about to start going through irreversible changes. The betrayal of their body is a big part of why trans children have such high rates of suicide.
In any case though, if you’re worried about them being too young, why would you be making a stink about a medicine than exists to delay permanent changes in their body? We give it to cis children safely in the case of precocious puberty, it can be stopped and puberty will resume, and it stops a huge source of emotional pain for them.
Just because you don’t need it doesn’t mean that gender affirming care isn’t still healthcare.
This still just feels like a muddying of technical language. If you were to write an article about autopilot killing somebody and use object to refer to them, that’s certainly dehumanization, but saying that an object detection algorithm performs poorly on humans doesn’t feel like it is.
Part of the problem is that in general we aren’t talking about specialized human detection models that incorporate things like pose estimation. Instead it is almost always a general object detection alg, and referring to the same models differently based on the subject just adds muddiness.
I’m mostly familiar with AI within healthcare, and in my workplace, any released model is going to have a number of conversations and evaluations about the technical performance, practical impact on patients, and general ethics of the model. Those conversations blend, but it’s harmful to make the language less clear in any one of those contexts.