> Machine learning requires lots of hardware - that's the best moat these companies can have. NVIDIA GPU's and Google TPU's are what's to be concerned about here.
With each concurrent generation the cost to produce the tools necessary with decrease exponentially as hardware also become more freely available. I don't see hardware as a limiting factor. Though the two monopolies have been known to work together to slow down technological progress. Honestly I think that our progress would likely have gone a lot faster without them. But for some strange reason they would rather follow moore's law. I don't really believe moore's law exists, there's limits to everything and the rules they mention are unsustainable and unrealistic. It makes me wonder where the real end of it is or if we've made the wrong decisions along the way solely for profit motive. How many times has funding been cut for research programs simply because nothing happened for a single quarter?
Like most Generative Artificial Networks, DALLE-2 is not really anything new. In the computer graphics field several research groups have been discussing similar techniques for decades. I've even seen a few demos by various colleges of their own implementations. The idea that DALLE is the future next step for several fields such as art is misleading at best and straight up delusional at worst. The main reason I state the issues within DALLE-2 not being fixed is mainly due to these factors. It's the wrong direction for this type of problem especially so for the billions of parameters that they use. The hyperfixation that google is attempting to do to this industry for it's own financial interests will pigeonhole several companies towards suboptimal solutions that will at best give them a somewhat workable solution at an expensive price. This of which will likely bankrupt them in the process as even with improvements to techniques will still cost them in the millions to produce even a few of these samples simply due to the labor cost involved.
While the art industry has been transformed by the technology industry through the gig economy intentionally for this purpose. Even at those rates you still end up with the cost of producing the models being outcompeted by the value provided. This is especially true as art improves overtime, the level of detail and fidelity along with varying art styles. Not to mention the fact it is an unsustainable model that prey on artists by systemically abusing them by turning them into slaves. But who am I say that it won't just collapse. After all companies such as walt disney, pixar, and dreamworks have been known for doing just this for decades. As other countries build "incentive" plans to systemically enslave their workers as well to outsource the art work towards studios abroad as well this likely won't change. Even the best animation studios such as Studio Ghibli only pay just above the poverty line. While it's never been my dream to draw or even write the idea that people of any kind being subject to abuse is something that I can't bear to see. All I can say is my deep hate for this never ending rat race. I always find it interesting when I read about these algorithms how the people who read, learn and create them seemingly have no sense of empathy for those that they seem to see as beneath them. Though I'm not claiming to say that you, yourself are to blame or are even contributing towards it. It's just something that bothers me.
Anyways, continuing on towards copyright. It's interesting to me how these datasets are generated is through the theft of artwork. I've already mentioned the labor cost involved in generating their own datasets and to mention it's unlikely anyone besides google will be able to afford to get away with this simply due to the magnitude of the lawsuit they would face. (It would likely be class action.) It always makes me wonder just how detrimental such as case would be and the effects of it due to how the U.S. Judicial System works. Though Silicon Valley has always been known for it's corruption and bribing of government officials, who knows? They might win. But it doesn't necessarily mean it will affect the entire industry as a whole but it might. It's interesting because there are already several papers on this matter that show that these neural networks work by copying those images. But you'll never know how a company like google can spin that. I always found it interesting that programmers think of machine learning as a black box.
The tool itself is largely unaffordable for large scale implementation and you would be better off working on other GAN's instead to help artists. Of course there's no one size fits all solution to this problem even though google would like to claim otherwise the quality of the images are useless for professionally done products without requiring heavy altercations. Teaching an entire generation to rely on this tool is likely going to end up counterproductive especially if it results in them losing the fine skills that are required to be developed for the task. I can see this going in several ways that could all end up horribly such as younger artists being forced to draw for the models themselves or being forced to be turned in essentially a data encoder writing labels for the dataset without having an practical skills or learning much. Or in how it's currently going the work being forced into sweatshop like conditions in 3rd world countries with an English speaking majority. Worsening the existing caste system within this industry. Maybe we'll see snip bits of it like on the tags of our jeans and tee shirts secretly hidden away, when a member of the upper caste clicks to generate an image instead what's returned are the words help me no food no water instead. The respective employee fired after attribution of the code is uncovered. Or on a lighter note artists secretly drawing penises on everything in order for the neural network to secretly generate penises on every image it draws.
I'm frankly upset. Not at you but an industry. Sorry if this sounds like a tangent or if it sound like I'm blowing up on you.
While the ideas mentioned may sound like my own they are not. While I'm unable to give sources to whose they are but I stand behind them.
It depends. Science doesn't occur in a vacuum. Change occurs overtime with the experiences of others. No one can do anything independent from the world. In several instances in the world the most meaningful leaps and changes in scientific theory have been when individuals have gone and seen real experiences. Such as nightingale and her contribution to sanitation.
In my opinion, any model that predicts any sort of outcome when doing so accurately is overfitted and lacks the proper contextual knowledge necessary. Should the work of actuarial science be validated as just a series of lists to prove the risk and likely hood of death? Should we all have numbers above our heads dependent on the fate and caste we are born into? These are all things these models ignore and misrepresent. If I was born into a lower middle class black family if no one knew who I was would they care about me? My struggles, my pain? So far all that I've seen are people who would rather choose to mock me. Wearing my clothing, pretending to sing my songs, my struggles. Yet nothing changes, no one cares about me, it's not my problem they say. What my ancestors did is not my fault nor my problem. While some in the scientific community care about these issues, the majority just ignores it. Even today all they care about is what book they need to read in order to follow their identity politics over real system change. Having been forced to live a lie, I can't see how or why others would care without having people who have seen and experienced it themselves. When you exclude more than half the world it really does make you wonder if we are right more than we are wrong.
This really isn't going to change much. DALLE-2 has and will likely for a long time have a lot of imperfections that will never be fixed. Due to the inherit way that these GANs work it's not going to force anyone really out of business. At most it could help artists with their day to day tasks but not really much more. You in effect have to create the proper datasets to even generate proper images itself. Even if the sample size required is getting substantially lower, increasing the barrier to entry. It will probably take hundred of thousands of images at the least to create a decent looking image. Each of which mind you is copyrighted. The quality of the images will be a new requirement for the field.
As Machine Learning Models are intellectual property we will likely see the unionification of artists as they work towards protecting the industry. Honestly the majority of these algorithms are going in the complete wrong direction and companies that use this will likely go bankrupt if google follows anything similar to amazon's business model.
Honestly, they're right more than they are wrong under the correct circumstances that is. Too bad being locked in a room for your entire life leads to a lot of other issues instead of experiencing the world and grabbing a better understanding of how everything ties in together. But who would change that after all if we believe what the modern psychologist says altruism doesn't exist.
Why share the cake when you can have it all to yourself. After all they did spent their entire life getting to that point shouldn't everyone else suffer as well? Maybe just a little worse every iteration until we just stop paying them. /s
Not really the entire hierarchical structures of corporations is actually highly inefficient it's something a lot of universities have been talking about for a while now. Which is ironic when you realize most universities are designed similar to churches with indentured servitude.
It sounds like a good idea but would this actually work? Russia itself while it pretends not to be is a very ethnically diverse region. The people living in certain sections of this area are very very different. Along with the fact that the population density varies from region to region how would with even give proper representation to those within the northern regions? Suggestions like this should be taken lightly as other nations have undergone similar "democratic" unifications such as ethopia and india which have lead to the further establishment of their systemic castes. In Ethopia we are starting to see the start of their civil war due to these underlying issues. While the current government claims it to be a regional conflict the underlying issues are much more severe.
Let's not resort to personal attacks. To be honest the majority of chinese are not even Han. It's a generic label taken on by the Chinese to better create a nationalistic ideal in an ethnically diverse region. Especially so when the real Han people for the most part do not exist in China.
In any situation where an individual has direct power over another can you really claim any form of relationship born from this is consensual? For many people who are not women it can be easy to shrug this aside for their own "personal interests" especially those in academia where most women tend to either leave the workforce or are left outside the pool of candidates for an individual. From an outsiders perspective looking in all I can say is no they cannot.
Honestly, the majority of derivatives of the cyberpunk genre I've seen have all usually been cheap cash grabs with less than any real messaging behind it. I guess to say it more plainly it's what you see the rock or rap genres of today as. While very few people "innovate" just like the music industry the writing industry is a monopoly full of those whose only interest is in revenue generation and shiny lights rather than the actual message. While it may be fun to rather generalize and insult others to put on the face of superiority. Maybe think bigger.
With each concurrent generation the cost to produce the tools necessary with decrease exponentially as hardware also become more freely available. I don't see hardware as a limiting factor. Though the two monopolies have been known to work together to slow down technological progress. Honestly I think that our progress would likely have gone a lot faster without them. But for some strange reason they would rather follow moore's law. I don't really believe moore's law exists, there's limits to everything and the rules they mention are unsustainable and unrealistic. It makes me wonder where the real end of it is or if we've made the wrong decisions along the way solely for profit motive. How many times has funding been cut for research programs simply because nothing happened for a single quarter?
Like most Generative Artificial Networks, DALLE-2 is not really anything new. In the computer graphics field several research groups have been discussing similar techniques for decades. I've even seen a few demos by various colleges of their own implementations. The idea that DALLE is the future next step for several fields such as art is misleading at best and straight up delusional at worst. The main reason I state the issues within DALLE-2 not being fixed is mainly due to these factors. It's the wrong direction for this type of problem especially so for the billions of parameters that they use. The hyperfixation that google is attempting to do to this industry for it's own financial interests will pigeonhole several companies towards suboptimal solutions that will at best give them a somewhat workable solution at an expensive price. This of which will likely bankrupt them in the process as even with improvements to techniques will still cost them in the millions to produce even a few of these samples simply due to the labor cost involved.
While the art industry has been transformed by the technology industry through the gig economy intentionally for this purpose. Even at those rates you still end up with the cost of producing the models being outcompeted by the value provided. This is especially true as art improves overtime, the level of detail and fidelity along with varying art styles. Not to mention the fact it is an unsustainable model that prey on artists by systemically abusing them by turning them into slaves. But who am I say that it won't just collapse. After all companies such as walt disney, pixar, and dreamworks have been known for doing just this for decades. As other countries build "incentive" plans to systemically enslave their workers as well to outsource the art work towards studios abroad as well this likely won't change. Even the best animation studios such as Studio Ghibli only pay just above the poverty line. While it's never been my dream to draw or even write the idea that people of any kind being subject to abuse is something that I can't bear to see. All I can say is my deep hate for this never ending rat race. I always find it interesting when I read about these algorithms how the people who read, learn and create them seemingly have no sense of empathy for those that they seem to see as beneath them. Though I'm not claiming to say that you, yourself are to blame or are even contributing towards it. It's just something that bothers me.
Anyways, continuing on towards copyright. It's interesting to me how these datasets are generated is through the theft of artwork. I've already mentioned the labor cost involved in generating their own datasets and to mention it's unlikely anyone besides google will be able to afford to get away with this simply due to the magnitude of the lawsuit they would face. (It would likely be class action.) It always makes me wonder just how detrimental such as case would be and the effects of it due to how the U.S. Judicial System works. Though Silicon Valley has always been known for it's corruption and bribing of government officials, who knows? They might win. But it doesn't necessarily mean it will affect the entire industry as a whole but it might. It's interesting because there are already several papers on this matter that show that these neural networks work by copying those images. But you'll never know how a company like google can spin that. I always found it interesting that programmers think of machine learning as a black box.
The tool itself is largely unaffordable for large scale implementation and you would be better off working on other GAN's instead to help artists. Of course there's no one size fits all solution to this problem even though google would like to claim otherwise the quality of the images are useless for professionally done products without requiring heavy altercations. Teaching an entire generation to rely on this tool is likely going to end up counterproductive especially if it results in them losing the fine skills that are required to be developed for the task. I can see this going in several ways that could all end up horribly such as younger artists being forced to draw for the models themselves or being forced to be turned in essentially a data encoder writing labels for the dataset without having an practical skills or learning much. Or in how it's currently going the work being forced into sweatshop like conditions in 3rd world countries with an English speaking majority. Worsening the existing caste system within this industry. Maybe we'll see snip bits of it like on the tags of our jeans and tee shirts secretly hidden away, when a member of the upper caste clicks to generate an image instead what's returned are the words help me no food no water instead. The respective employee fired after attribution of the code is uncovered. Or on a lighter note artists secretly drawing penises on everything in order for the neural network to secretly generate penises on every image it draws.
I'm frankly upset. Not at you but an industry. Sorry if this sounds like a tangent or if it sound like I'm blowing up on you.
While the ideas mentioned may sound like my own they are not. While I'm unable to give sources to whose they are but I stand behind them.