They throw out all nuance and have absolutely no empathy or consideration that others need to live differently than them. Or hell, need to live differently than them in order to support their own lifestyle. I swear 90% of them have never lived outside the city they were born in.
I don’t think those are good examples of flanderization. Looking at JDs example, he was always that way, but was less confident in himself to show that side. A core character growth point for him is embracing his lack of masculinity while his father figure continually lambasts him for it. As he becomes more comfortable in his new job as a doctor, it would make sense he would be more comfortable being himself.
Flanderization is when a character becomes fully defined by what was initially just a quirk or feature of the character. I don’t think you can summarize JDs character as ‘feminine dude’ . JD continues to be complex and grow throughout the series. It’s not perfectly linear growth, but it shouldn’t be.
I think a big reason it shouldn’t be considered flanderization is he gets serious when it’s necessary, he does still struggle with his masculinity some, and he grows as a character in other ways. Hell, he ends up as a strong and responsible leader while maintaining his lack of masculine traits.
Elliots example you copied is just weirdly self-countering and kinda sexist. Elliots growth was heavily centered around self confidence and self acceptance. She started out as a shallow, rich kid, know it all who couldn’t take the pressure and couldn’t handle when she wasn’t good at something. I don’t think any of those traits ended up flanderized.
There are plenty of shows that flanderize characters to a pretty extreme level. I find it weird that you would call out scrubs of all shows for flanderization.
Yea, if only there were real world applications for AI. Like image/video generation and editing, text generation including code, audio processing and generation, object recognition and image classification, fraud detection, medical diagnosis, predictions in general, protein folding, or even just general data analysis. Then it might actually take off.
OpenGPT is just an LLM but that’s only one small facet of AI. When people talk about AI and only mean LLMs or even one specific guy/company, it’s a clear sign they don’t know any more about AI than that one Vox article they read 2 months ago.
The whole “we don’t know how they work” thing is a bit overblown. We have all the formulas, we know exactly how the math and code works. You can go and look at the weights for every node, you’re just not going to derive any meaning or necessarily explain why one number works better than another.
Oh, I’m reducing you because you are wrong or are arguing in bad faith. Both good reasons to hit the down arrow.
The irony is completely lost on you, eh?
Yep, technology sure doesn’t start out expensive then get cheaper later. If only that were the case.
Lol, “People who disagree with me simply aren’t aware that there are EVs that are not BEVs.” Oh, no, we can read. We just think you’re wrong.
Let me throw out a guess, you think it’ll be the hydrogen FCEV’s that will take over? Those can be pretty expensive right now though. Do you think the technology will improve and get cheaper over time by any chance?
https://www.caranddriver.com/chevrolet/bolt-euv
So you just have a hydrogen full cell manufacturer’s name as your username and post extensively in https://kbin.social/m/Hydrogen for fun or do you think you maybe have a conflict of interest here and are being disingenuous?
And there are 5 other cars below $40k. Just because 1 car is expensive doesn’t mean others are.
There’s plenty of BEVs that are competitively priced to any other new car: https://www.caranddriver.com/features/g32463239/new-ev-models-us/
They might not be the car you choose to take on a road trip, but most days, I only need to drive less than 20 miles anyway.
Agree 100%. Especially when you’re doing more complicated queries, working with ORM adds so much complexity and obfuscation. In my experience, if you’re doing much of anything outside CRUD, they add more work than they save.
I also tend to doubt their performance claims. Especially when you can easily end up mapping much more data when using a ORM than you need to.
I think ORMs are a great example of people thinking absolutely everything needs to be object oriented. OO is great for a lot of things and I love using it, but there are also places where it creates more problems than it solves.