Oh absolutely, I’m pretty sure I’m on the same page with this. I only pose that to someone who believes they’ve found people who respect them, and particularly those who have felt for a long time that their voice didn’t matter, it is counterproductive to approach them and their group with outward hostility.

Telling them the people who took them in and listened to them are vile, abusive, disgusting people and are exactly the problem they say everyone says you are, is just reinforcing of their views.

Consider the comment originally replied to; paraphrase because mobile is hard, “those loudest about being victimized are the most eager to take their pound of flesh”. This can easily sound like:

1. (Man) I’ve been victimized and nobody lets me voice this except for this gang/cult/militia. Cult says they should be allowed to “get support” and they know the way (it’s bad).
2. (Outsider) Claiming to be a victim usually means you are a terrible person.
3. (Man) So according to outsiders, if I seek help, I’m a bad person. According to my (cult etc) if I tell them, they will offer a form of support. I can stay with these people and get something of support, or I can leave them, be ostracized, and any attempts to voice my feelings will lead me to being labeled someone eager to take a pound of flesh.

They need to be shown that those on the outside understand them and are better people than those who took them in. They are with people whose form of empathy and respect is so distorted and toxic, but it’s the only model of that experience they know.

Your comment, upon my read, felt like anyone in that position would feel justified in their gang telling them that everyone on the outside is out to get them. If they already think everyone else is a predator, what is attacking their friends, their family, and their opinions, going to do?

They will only leave when they know they will arrive somewhere with the respect they craved without those toxic feelings they repressed during their time with a hateful group.

So I guess it’s less about the content of the comment, more of the way it represented the ideas, the timing, and the perceived intention.

I agree that much of the problem is men on men and this patriarchy - men who do not want to uphold patriarchal values can often be ostracized and demonized by those who do - but I believe OP was specifically noting that then those men who get abused and ostracized cannot speak out of seek help because many people will simply snap back at them saying that they are part of the problem and resources need to be given elsewhere. They cannot endure the abuse, and their own cohort becomes abusive, and the only way to avoid the abuse from all sides (in their view) becomes joining the “social excrement” they wanted to escape in the first place.

Angry screams tend to mask sad and lonely tears. Hatred does not end hatred; hatred ends through non-hate alone. Non-hate is not inaction, though. If we do not look at them, and ourself, with empathy and kindness and understanding and patience, they will continue living in a world devoid of and therefore ignorant to empathy and kindness and understanding and patience.

I think centralization played a big role in this, at least for software. When messaging meant IRC, AIM, Yahoo, MSN, Xfire, Ventrilo, TeamSpeak, or any number of PHP forums, you had to be able to pick up new software quickly and conceptualized the thing it’s doing separate from the application it’s accomplished with. When they all needed to be installed from different places in different ways you conceptualize the file system and what an executable is to an extent. When every game needs a bit of debugging to get working and a bit of savvy to know when certain computer parts are incompatible, you need a bit of knowledge to do the thing you want to do.

That said, fewer people did it. I was in highschool when Facebook took off, and the number of people who went from never online to perpetually online skyrocketed.

I teach computer science, I know it isn’t wholly generational, but I’ve watched the decline over the past decade for the basics. Highschool students were raised on Chromebooks and tablets/phones and a homogenous software scene. Concepts like files, installations, computer components, local storage, compression, settings, keyboard proficiency, toolbars, context menus - these are all barriers for incoming students.

The big difference, I think, is that way more people (nearly everyone) has some technical proficiency, whereas before it was considered a popular enough hobby but most people were completely inept, but most of students nowadays are not proficient with things past a cursory level. That said, the ones who are technically inclined are extremely technically inclined compared to my era, in larger numbers at least.

Higher minimum and maximum thresholds, but maybe lower on average.

I love that friend group A is a gradient.

I’m Canadian, but the point they are making is that there won’t be another election; VP is the backup for a dead president. Not to tinfoil too hard, but placing an obvious puppet in as VP with a clearly declining candidate who is popular seems like a strategy straight out of House of Cards.

Geode colouring matched Ace Flag colouring.

Insane compute wasn’t everything. Hinton helped develop the technique which allowed more data to be processed in more layers of a network without totally losing coherence. It was more of a toy before then because it capped out at how much data could be used, how many layers of a network could be trained, and I believe even that GPUs could be used efficiently for ANNs, but I could be wrong on that one.

Either way, after Hinton’s research in ~2010-2012, problems that seemed extremely difficult to solve (e.g., classifying images and identifying objects in images) became borderline trivial and in under a decade ANNs went from being almost fringe technology that many researches saw as being a toy and useful for a few problems to basically dominating all AI research and CS funding. In almost no time, every university suddenly needed machine learning specialists on payroll, and now at about 10 years later, every year we are pumping out papers and tech that seemed many decades away… Every year… In a very broad range of problems.

The 580 and CUDA made a big impact, but Hinton’s work was absolutely pivotal in being able to utilize that and to even make ANNs seem feasible at all, and it was an overnight thing. Research very rarely explodes this fast.

Edit: I guess also worth clarifying, Hinton was also one of the few researching these techniques in the 80s and has continued being a force in the field, so these big leaps are the culmination of a lot of old, but also very recent work.

Lots of good comments here. I think there’s many reasons, but AI in general is being quite hated on. It’s sad to me - pre-GPT I literally researched how AI can be used to help people be more creative and support human workflows, but our pipelines around the AI are lacking right now. As for the hate, here’s a few perspectives:

• Training data is questionable/debatable ethics,
• Amateur programmers don’t build up the same “code muscle memory”,
• It’s being treated as a sole author (generate all of this code for me) instead of like a ping-pong pair programmer,
• The time saved writing code isn’t being used to review and test the code more carefully than it was before,
• The AI is being used for problem solving, where it’s not ideal, as opposed to code-from-spec where it’s much better,
• Non-Local AI is scraping your (often confidential) data,
• Environmental impact of the use of massive remote LLMs,
• Can be used (according to execs, anyways) to replace entry level developers,
• Devs can have too much faith in the output because they have weak code review skills compared to their code writing skills,
• New programmers can bypass their learning and get an unrealistic perspective of their understanding; this one is most egregious to me as a CS professor, where students and new programmers often think the final answer is what’s important and don’t see the skills they strengthen along the way to the answer.

I like coding with local LLMs and asking occasional questions to larger ones, but the code on larger code bases (with these small, local models) is often pretty non-sensical, but improves with the right approach. Provide it documented functions, examples of a strong and consistent code style, write your test cases in advance so you can verify the outputs, use it as an extension of IDE capabilities (like generating repetitive lines) rather than replacing your problem solving.

I think there is a lot of reasons to hate on it, but I think it’s because the reasons to use it effectively are still being figured out.

Some of my academic colleagues still hate IDEs because tab completion, fast compilers, in-line documentation, and automated code linting (to them) means you don’t really need to know anything or follow any good practices, your editor will do it all for you, so you should just use vim or notepad. It’ll take time to adopt and adapt.

Everything changed when I found the most understanding teachers at the end of my school. I switched schools and had a teacher recognize I was smart and bored and distracted, and she tested me out of the classes and let me spend my time on other random things that were tangentially related and still work with the other students. Game changer compared to where I was where I’d get deductions for doing problems early or reading ahead.

The point on the way to many interests and things, and loving yourself beyond the meds, very important! I found o was regulating myself too much for the first while after diagnosing, and the most relaxation wasn’t what people might typically find relaxing, it was letting the (healthy enough) chaos flow in a safer environment than I was previously prepared to setup.

100%. Great way of putting it. I bounce back forth on occasion, but the trend line is always toward accepting that old part of me, and realizing it’s okay to move on because it’s a very closed chapter that’s been outstaying its welcome. Like any death, you still have those same neural patterns, and they’re slowly getting overwritten, and it’s confusing and disorienting when your muscle memory reaches for something and it’s not there.

It’s extra confusing when what’s reached for is that feeling of not grabbing anything, but you do. When you’ve been falling for decades the ground feels weird for a while when you land.

Hah, yeah, I’m sure I could have taken time to phrase it better.

I definitely feel like a big part of what I’ve grieved is the childhood that I never had, moreso than the future I won’t. It was a big relief, and I felt like I could do well and cut myself slack. I’m just trying to do the same with past me; cut myself that slack, give my past self that love and understanding now that I didn’t get then, accept it was a brutal time, and that it was unfair, but that I’ve grown and learned and stopped rejecting that person was me, and we’re doing all right.

I do think stigma is a part, both your expectations of others and the expectations on yourself. I had a psychiatrist tell me years before my diagnosis that I was “too successful” for ADHD and that pretty much derailed the acceptance for a long time, heh.

Absolutely! Important to recognize you’re not “weird” for not going through this, sometimes it just aligns so well you’re already prepped for it.

I agree to an extent, but also that the parents need to take time to understand how to “gas them up” appropriately. It’s not everyone’s case, but it became very apparent to me when I was young that my parents would cheer me on over anything, and never take any time to learn about the things they were cheering me on over, and that led to disbelieving pretty much any positive feedback from anyone long-term. The only feedback of substance growing up was the very rare negative feedback, because they would only pull it out when they understood it enough to know it needed improving. That, and emphasizing their efforts as the thing to cheer on, not just the end results.

I’ve learned to work through that, and maybe it goes without saying for most people, but being a genuine and substantive cheerleader is important.

I know this is in response to a post saying your ADHD is not other people’s ADHD, but I’m pretty sure your ADHD is my ADHD.

Message not clear; some man in the mirror is now telling me to change my ways, and now they’re angry and crying and it’s making me uncomfortable and feel alone. The man in the mirror said the world would be a better place if I changed, but why can’t they change? After all, they sure don’t seem like a good person, you can see it in their face. Disgusting.

Maybe the discomfort of looking at the person on the other side of the mirror, with their hate, sadness, and confusion, is part of what fuels their hatred.

As someone who researched AI pre-GPT to enhance human creativity and aid in creative workflows, it’s sad for me to see the direction it’s been marketed, but not surprised. I’m personally excited by the tech because I personally see a really positive place for it where the data usage is arguably justified, but we either need to break through the current applications of it which seems more aimed at stock prices and wow-factoring the public instead of using them for what they’re best at.

The whole exciting part of these was that it could convert unstructured inputs into natural language and structured outputs. Translation tasks (broad definition of translation), extracting key data points in unstructured data, language tasks. It’s outstanding for the NLP tasks we struggled with previously, and these tasks are highly transformative or any inputs, it purely relies on structural patterns. I think few people would argue NLP tasks are infringing on the copyright owner.

But I can at least see how moving the direction toward (particularly with MoE approaches) using Q&A data to support generating Q&A outputs, media data to support generating media outputs, using code data to support generating code, this moves toward the territory of affecting sales and using someone’s IP to compete against them. From a technical perspective, I understand how LLMs are not really copying, but the way they are marketed and tuned seems to be more and more intended to use people’s data to compete against them, which is dubious at best.