somestag
Joined 10 years ago
Joined 10 years ago
When we're getting rid of assembly line jobs, or checkout counter staff, or data entry clerks, or any other job that we know is demeaning and boring, we can convince ourselves that the thousands/millions put out of work are an unfortunate side effect of progress. Oh sure, the loss of jobs sucks, but no one should have to do those jobs anyway, right? The next generation will be better off, surely. We're just closing the door behind us. And maybe if our economic system didn't suck so much, we would take care of these people.
But when creatives start getting replaced, well, that's different. Many people dream of moving into the creative industry, not out of it. Now it feels like the door is closing ahead of us, not behind us.
Contrast with, say, SSRIs, which might have some effect in a healthy person but you're looking at a different range of effects compared to someone taking it for depression/anxiety/OCD/whatever.
When a drug is stigmatized in the United States, it is essentially impossible to get it legalized without showing there is a medical use for it. That's just how it is. If your goal is to get a drug legalized, it does not matter whether that's how it should be, or whether this is all rooted in systemic discrimination, or whether pharmaceutical companies push stuff that's just as bad under their veil of legitimacy. Citizens who are anti-drug are under the impression right now that ~100% of illicit drugs are extremely dangerous and a major threat to their community, and they are not going to sit around and listen to a history lesson philosophizing about how all their fears are a propagandized illusion.
Even if you got them to listen, they would just say "Why risk it?" The only way to start changing minds is to point out there are upsides to drug legalization beyond just "freedom is good." That's why all of the arguments for legalization focus on health/therapeautic benefits, either directly from the drugs themselves or in the ability to treat those who need help with addiction.
The article just scanned people's brains while they were on drugs and saw that the electrical activity was more erratic and scattered than normal, not more active and connected, and concluded that people were using psychedelics based on a myth.
I'm also not a big fan on emphasizing the "cognitively healthy" part of the equation. My understanding is that stimulants do exactly the same thing in a person whether they're "cognitively healthy" or not; they're not the sort of drugs that target a deficiency or clear up some specific problem. The only difference is that some people have more of a need in this area than others.
This reminds me of an old article I read about how psychedelics don't actually "increase connectivity in the brain" like users thought, as though that had anything to do with why people use psychedelics.
Whether that's "most" software engineers in games or not I can't say. AAA studios employ way more engineers per project but there are comparatively way more small- and mid-sized developers out there. It's interesting how strong the bubbles are, even within a niche industry like games.
I almost ruined my relationship with a coworker because they submitted some code that took a dependency on something it shouldn't have, and I told them to remove the dependency. What I meant was "do the same thing you did, but instead of using this method, just do what this method does inside your own code." But they misinterpreted it to mean "Don't do what this method does, build a completely different solution." Repeated attempts to clarify what I meant only dug the hole deeper because to them I was just complaining that their solution was different from how I would've done it.
Eventually I just showed them in code what I was asking for (it was a very small change!) and they got mad at me for making such a big deal over 3 lines of code. Of course the whole point was that it was a small change that would avoid a big problem down the road...
So I'll take ChatGPT using library methods that don't exist, no matter how much you tell them to fix it, over that kind of stress any day.
If I have to solve a hairy problem specific to our game's architecture, obviously I'm not going to ask ChatGPT to solve that for me. It's everything else that it works so well for. The stuff that I could do, but it's not really worth my time to actually do it when I can be focusing on the hard stuff.
One example: there was a custom protocol our game servers used to communicate with some other service. For reasons, we relied on an open-source tool to handle communication over this protocol, but then we decided we wanted to switch to an in-code solution. Rather than study the open source tool's code, rewrite it in the language we used, write tests for it, generate some test data... I just gave ChatGPT the original source and the protocol spec and spent 10 minutes walking it through the problem. I had a solution (with tests) in under half an hour when doing it all myself would've taken the afternoon. Then I went back to working on the actual hard stuff that my human brain was needed to solve.
I can't imagine being so specialized that I only ever work on difficult problems within my niche and nothing else. There's always some extra query to write, some API to interface with, some tests to write... it's not a matter of being able to do it myself, it's a matter of being able to focus primarily on the stuff I need to do myself.
Being able to offload the menial work to an AI also just changes the sorts of stuff I'm willing to do with my time. As a standalone software engineer, I will often choose not to write some simple'ish tool or script that might be useful because it might not be worth my time to write it, especially factoring in the cost of context switching. Nothing ground breaking, just something that might not be worth half an hour of my time. But I can just tell AI to write the script for me and I get it in a couple minutes. So instead of doing all my work without access to some convenient small custom tools, now I can do my work with them, with very little change to my workflow.
You said that ads are misinformation because they try to convince you to buy something that may or may not be in your best interest to buy. My response to this is that's a ridiculous definition of "misinformation," and I disagree with it strongly.
You said nothing about levels of influence, or about modern ad campaigns versus word-of-mouth advertising, or anything of the like. I couldn't have responded to these things even if I wanted to, because you didn't say them. All you said was that selfish motivation == misinformation, and that's wrong, and I disagree with it.
Of course I suspected that you wrote your comment because of angst against the manipulations of "modern ad campaigns," and not because you believe that's actually a useful definition of misinformation, and you just proved it for me. You're trying to redefine words so you can use those words to give your point more oomph.
I also said nothing about you believing advertising shouldn't be allowed. Why do you think I said this? I didn't even imply it. I only said I thought you were being cynical.
It's true that there's a massive gap between a vendor hawking their wares on the street and "modern ad campaigns and techniques." There is also an entire gradient between these two things, and you see examples all along this gradient if you actually pay attention to advertising. The existence of this gradient is why I take issue with your original comment.
In the far far future, if we did crack AGI, it's not impossible to believe that specialized hardware modules would be built to enable AGI to interface with a "normal" home computer, much like we already add modules to our computers for specialized applications. Would this still count as software-only AI to you?
I've held for a long time that sensory input and real-world agency might be necessary to grow intelligence, so maybe you mean something like that, but even then that's something not incredibly outside the realm of what regular computers could do with some expansion.
I think you'll find that AGI cynics do not agree at all that "engineering a 10x/100x version" of what we have and making it attempt "AGI algorithms 24/7 in an evolutionary setting" is a "safe ticket" to AGI.
I think that cuts both ways though, because I think even the business people would be shocked at how well things can seem to work despite serious dysfunction. If an entire team dies off but 3 months later things seem "fine," the business types will just assume everything is as good as it ever was. I know it's popular these days to say that good tech and good business are not always the same thing, but I do think that many of those same businesses would be a little worried if you actually convinced them that their tech was coming off the rails and was only going to get worse. Some businesses just want to be acquired and don't care what happens after that, but not every business thinks they're on a clock.
If you're big enough, like say you're a trillion dollar megacorp, then important teams folding up and being reborn is just part of your ecosystem. I've seen big tech power through churn for years with nothing but human wave tactics until the business climate changed enough that the team in question became less critical, and that's when they let it die.