nonbirithm
Joined 8 years ago
Joined 8 years ago
That, and the state of missing a technology in a period of time is irreplaceable once it's been discovered. Nobody can live in an era without social media anymore, barring a global-scale catastrophic reset. So I believe it's important to consider what technology is not yet totally pervasive, for example by realizing there is still a steering wheel for you to grip in your car.
And in my mind, the sinister feeling stems from the fact that all it takes to irreversibly shift society like that is enough smart people with honest intentions but little foresight of what will happen in a few decades as a result of proliferating all this. The problems that result stop being in anyone's control, "throwing it over the wall" so to speak, and instead become yet another fact of life that could weigh us down (mostly I think of the ubiquity of social media and how it has changed human interaction). And it all stems from just a few engineering type people getting overexcited about cool possibilities they can grasp at, not considering there are billions of people unlike them who may have other ideas.
https://store.steampowered.com/app/1307550/Craftopia/
Given Palworld is the new thing I doubt its predecessor will ever exit EA by now. I hope the devs commit the new game to a full release instead of dropping support again after the hype dies down.
A question is, is it possible to advance technology to fulfill the green revolution without changing the value of human creativity due to the creation/advancement of genAI? Or past a certain point, the results of discovering improved health and ecological outcomes will become inextricably linked with discovering new technologies that cause conflict? What actually drives such a process?
I think more people might become interested on why we end up here talking about new possibilities conflicting with stability again and again, similar to how the negative effects of the invention of smartphones are being talked about now.
I think the term "AI" is one of the most loaded and misleading to come up in recent discourse. We don't say that relational databases "pack and ship" data, or web clients "hold a conversation" with each other. But for some reason we can say that LLMs and generative models "get inspired" by the data they ingest. It's all just software.
In my own opinion I don't think the models can copy verbatim except in cases of overfitting, but people like the author of the post have a right to feel that something is very wrong with the current system. It's the same principle of compressing a JPEG of the Mona Lisa to 20% and calling that an original work. I believe the courts don't care that it's just a new set of numbers, but instead want to know where those numbers originated from. It is a color of bits[1] situation.
When software is anthropomorphized, it seems like a lot of criticisms against it are pushed aside. Maybe it is because if you listen to the complaints and stop iterating on something like AI, it's like abandoning your child before their potential is fully realized. You see glimpses of something like yourself within its output and become (parentally?) invested in the software in a way beyond just saying "it's software." I feel as if people are getting attached to this kind of software unlike they would to a database, for example.
A thought experiment I have is whenever the term "AI" appears, mentally replace it with the term "advanced technology." The seeming intent behind many headlines changes with this replacement. "Advanced developments in technology will displace jobs." The AI itself isn't the one coming for people.
I believe it wasn't only journalistic gatekeeping that prevented this for so long, but simply a lack of affordance for willing parties to do those things. High-speed Internet has made everything so much easier.
My feelings about the rise of streaming video are also conflicted. It has given us high-quality longform content on topics that hadn't been covered before, but all those other people's passions and hobbies take up way too much time if you as a consumer become deeply invested in them (not even counting the conspiracy genre and its implications). It's easy to do partially because YouTube facilitates that, but I think in the end people want to consume all this information in the end, for some definition of "want". And dozens of 6-hour streams of the latest game or another will keep being uploaded every day.
And there's this other thing that I keep coming back to. Someone I know was really into this engineer creating fake Apple product boxes that recorded thieves stealing them and being glitterbombed. They found it hilarious, but I was sort of confounded. It was the conversion of a few people's bad choices into entertainment and ad revenue, coated over with the intellectual sheen of detailed makerspace engineering diagrams and wit mixed with a moral high ground. Though what the thieves did was not right, there was something smug and passive aggressive about the entire thing that rubbed me the wrong way. And this was presented as just a humble guy with engineering experience creating his content and getting people interested in STEM. Anyone has the capability to do this sort of thing now, not just a media machine with questionable motives. It's just regular, driven people with questionable motives now.
It makes logical sense. The longer the intro cutscene took, the more people would just exit out before the action could take place, the more money they lost on IAPs. So fast-tracking the player to beating things up within 2-4 minutes is critical. The longer story cutscenes can take over later. There are probably hard metrics to back this up somewhere.
OpenAI has one of the fastest-growing software releases in history. It's kind of insane how after a year this is already starting to alter people's communication styles. Technologists will have to start asking "why do people still insist on doing this", even with all the discussion about incorrect information coming up. Well, because they wanted to, they could, and nobody has told them "no" yet.
I hope the consequences of such a large-scale software rollout are considered next time. If you have to stop and stay "we should educate people about the misuses of this," then some proportion of the population won't be educated or reject being educated outright and do what they want. In my view, the only thing preventing people from throwing around ChatGPT suggestions in inappropriate contexts is... not giving them ChatGPT. To remain naive to the possibilities lest they get excited and unwittingly unleash them on everyone, regardless of true their intentions - as had been the status quo up until a few years ago. Draconian legislation outlawing GPUs or LLMs are more divisive a solution than the general public just not being aware of the possibilities of LLMs.
I know this is unrealistic, however. "Time for people to embrace the tech and move on" has become a thought-terminating cliche. As a programmer, I'm lost as to what to say or do about this.
I've seen accusations and suspicion of HN commentators giving ChatGPT responses. Accusing someone of using ChatGPT here has become something more nuanced than an insult, but still sows discord. If it's coming to this, I think it is worth examining for what purpose we build the things we do.
https://www.tomshardware.com/pc-components/gpus/nvidia-launc...
https://ja.m.wikipedia.org/wiki/%E3%81%A8%E3%81%8D%E3%82%81%...
http://gaming.moe/?p=2938