4,143 karma · joined December 20, 2018
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I would bet a large sum of money that the creatives who created the ad for Apple had no intentions beyond "this ad will be a metaphor for the insane variety of creative endeavors you can use an iPad for!"
Apple isn't tone-deaf. The people mad about this are tone-hallucinating.
Seems even OpenAI can't resist the massive amount of money to be made in autogenerated smut. They've probably seen the huge popularity of their less "morally scrupulous" competitors and decided they want a piece of that pie.
I love watching language evolve before my very eyes, it's literally the coolest thing ever!
Modern deep learning is almost wholly built off of partial derivatives, the chain rule, and matrix multiplication. It looks complicated from the outside because there are so many people publishing variations on this same basic formula, but it is the same basic formula over and over and over again. I may be a "new fart" myself, but when I set out to become an AI researcher I was honestly kind of surprised how transparent the mechanisms underlying AI actually are! I had expected to need to spend years to learn what I needed to understand it, but in reality it took me about 6 months of dedicated study to get to a point where I felt more-or-less comfortable with how it all worked. Granted, learning how Transformers and attention worked specifically took me a little longer (not sure why, was just some kind of mental block)
> AI is Not Approachable
I would argue that AI is more approachable than it ever has been. A used RTX 3090 with 24GB of VRAM can get you shockingly far for ~800 bucks. Will you be training GPT-5 at home? No. But there is still so much fascinating fundamental research waiting to be done in this field. Personally, I really enjoy using my home PC to implement and train funky novel architecture designs and see if they work on common toy problems. My hope is that one day I'll stumble onto one that becomes a Transformer-killer and then I could get a compute grant or something to try scaling it, but that's likely a pipe dream. Still, I find the amount of cool stuff you can do with consumer hardware today astounding.
> AI is Not Open
At the risk of sounding like a broken record, I think AI is more open than it ever has been. Yes, the state of the art is closed-source right now, but Open Source AI has never been as active and exciting as it is right now. Mistral LLMs, CLIP, Whisper, TheBloke and his crazy quantizations, DINOv2, LLaMA-2, Stable Diffusion, and so much more have been released open in just the past year or two. Local LLMs are slowly (but surely) catching up to GPT-4, even if they are lagging behind by about 6-8 months. The best open LLMs these days are (anecdotally) above the level of ChatGPT-3.5 when it launched. That's exciting! Of course all the coolest, most sexy AI research is happening behind closed doors, but to see that and conclude that AI is "not open" feels shortsighted.
In conclusion: What a time to be alive! I think it's perfectly valid to feel nervous about the future, because things, they are a-changing! And change is scary! But I really do believe that there is more to be excited about than there is to be worried about, and that everything will Work Out™ in the end.
"Some updates on our AI efforts. Our long term vision is to build general intelligence, open source it responsibly, and make it widely available so everyone can benefit. We're bringing our two major AI research efforts (FAIR and GenAI) closer together to support this. We're currently training our next-gen model Llama 3, and we're building massive compute infrastructure to support our future roadmap, including 350k H100s by the end of this year -- and overall almost 600k H100s equivalents of compute if you include other GPUs."
It has its upsides and downsides. Upsides include the country generally being pretty darn industrious and a hotbed for entrepreneurship, and having good socioeconomic mobility prospects for those who (A) don't start out genuinely poor, and (B) are willing to be obsessive about work. Downsides include burnout, dispassionate employees, and an icky tendency to associate poverty with immorality and wealth with morality. I personally believe we could definitely stand to move a little further in the European direction when it comes to labor culture and laws here in the USA.
I generally find that defining words descriptively (based on how most people use them most of the time) rather than prescriptively (based on how institutions or niche groups use them) is a good way to avoid conflict, both on the internet and IRL!
I feel like education is probably our best bet for sort-of-kind-of dealing with the repercussions of the problem. Ultimately, attempting to legislatively regulate the production and private distribution of AI nudes just doesn't seem enforceable to me — see: Brandolini's principle. I think our best hope to mitigate the negative impact of this tech is to talk widely about it and actively try to make my "prophecy" come true. Sex ed curriculums should start including warnings about how fake nudes are an epidemic and begin to build the new social norm of not assigning moral judgements based off of them.
I could also see some government-funded PSAs on popular streaming services/TV channels/radio channels being effective. You'd want to try to disproportionately target such messaging to older members of society, since they're less technologically literate on average and therefore more likely to be emotionally traumatized by tech like this.
Now that I'm writing this, I do wonder if there are some regulatory approaches that could help, especially since we have had some success banning CSAM legislatively. The problem with AI nudes, I think, is that they are destined to become indistinguishable from genuine nudes, so a blanket ban is impossible without establishing a panopticon (which is obviously bad). Blanket banning works for CSAM because there is never any case in which a piece of CSAM should ever be knowingly stored or distributed, regardless of its origin. It is always immoral. This complicates things because nude images of adults can be shared consensually by said adults, and banning this practice would be absurd.
I'd be curious to hear your thoughts as well. What sorts of options are there to combat this new AI-generated nude plague if my optimism about the situation turns out to be misplaced?
The coolest statistic I've heard regarding solar and batteries is that 0.5% of worldwide GDP is being invested in it. One out of every 200 dollars spent is being spent on solar energy! It's truly incredible :)
[0]https://www.noahpinion.blog/p/our-climate-change-debates-are...
Do I think that society will transform its views on nude images overnight? No, obviously not. Do I think that every person in society will go with the flow and adopt new assumptions about nude images? Also no. But it seems entirely logical to me to imagine that once the average person notices "hey, I am being inundated with 1000x the number of fake nudes that I used to," they will eventually reach the conclusion that "I should start assuming all nudes are fake by default."
I don't think that AI art is fundamentally uninteresting (I am a machine learning researcher, so I think it's rad), or that it can't be used as a tool to make great art. I just think that the final image is not the point of art. The point is that a person practiced for hundreds/thousands of hours to develop a creative skill and then spent several more hours painstakingly applying that skill just to create the image. If AI is incorporated into a high-effort, high-skill process, I don't have an issue with it.