this post was submitted on 29 Dec 2023
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I take your point, but in this specific application (synthetically generated influencer images) it's largely something that falls out for free from a wider stream of research (namely Denoising Diffusion Probabilistic Models). It's not like it's really coming at the expense of something else.
As for what it's eventually progressing towards - who knows... It has proven to be quite an unpredictable and fruitful field. For example Toyota's research lab recently created a very inspired method of applying Diffusion models to robotic control which I don't think many people were expecting.
That said, there are definitely societal problems surrounding AI, its proposed uses, legislation regarding the acquisition of data, etc. Often times markets incentivize its use for trivial, pointless, or even damaging applications. But IMO it's important to note that it's the fault of the structure of our political economy, not the technology itself.
The ability to extract knowledge and capabilities from large datasets with neural models is truly one of humanity's great achievements (along with metallurgy, the printing press, electricity, digital computing, networking communications, etc.), so the cat's out of the bag. We just have to try and steer it as best we can.
The technology itself may be very interesting and it may not be ultimately the core of the problem, but because there is no attempt to address the problems that arise as its use is spread, it can't help but harm our society. Consider how companies may forgo hiring people to use AI to replace them, which threatens not only influencers but anyone working with writing, visual arts, voice work and consequently communication and service. How it can be used manipulatively to exploit people at a rate never seen before. As many amazing uses there may be for it, there are just as many terrible possibilites.
Meanwhile the average person cannot do much with it beyond using it as a toy, really.
Ultimately the real problem is the system, but as the system refuses to change we are in a collision course. There are calls to ban AI, but that is not the ideal solution, and I don't think it can be done in any case. But we are not having the societal changes direly needed to be able to embrace it and end up with a better world. Sure it will bring massive profits to all sorts of business and industries, but that most likely will come at direct expense of people's livelihoods. Can we even trust the scientific and industrial uses when financial interests direct them in such a way that products are intentionally sabotaged to be less functional and durable, or even which believes "curing diseases is not a sufficiently profitable model"?
These days I just dread the future...
Since the forces that determine policy are largely tied up with corporate profit, promoting the interests of domestic companies against those of other states, and access to resources and markets, our system will misuse AI technology whenever and wherever those imperatives conflict with the wider social good. As is the case with any technology, really.
Even if "banning" AI were possible as a protectionist measure for those in white-collar and artistic professions, I think it would ultimately be unfavorable with the ruling classes, since it would concede ground to rival geopolitical blocs who are in a kind of arms race to develop the technology. My personal prediction is that people in those industries will just have to roll with the punches and accept AI encroaching into their space. This wouldn't necessarily be a bad thing, if society made the appropriate accommodations to retrain them and/or otherwise redistribute the dividends of this technological progress. But that's probably wishful thinking.
To me, one of the most worrying trends, as it's gained popularity in the public consciousness over the last year or two, has been the tendency to silo technologies within large companies, and build "moats" to protect it. What was once an open and vibrant community, with strong principles of sharing models, data, code, and peer-reviewed papers full of implementation details, is increasingly tending towards closed-source productized software, with the occasional vague "technical report" that reads like an advertising spiel. IMO one of the biggest things we can lobby for is openness and transparency in the field, to guard against the natural monopolies and perverse incentives of hoarding data, technical know-how, and compute power. Not to mention the positive externality spillovers of the open-source scientific community refining and developing new ideas.
It's similar to how knowledge of the atomic structure gave us both the ability to destroy the world, or fuel it (relatively) cleanly. Knowledge itself is never a bad thing, only what we choose to do with it.