But in reality it seems like the opposite is going to be true. AI is automating the creative, intellectual work and leaving the rest to us.
As of now, the models still need large amounts of human produced creative works for training. So you can imagine a story set in a world where large swathes of humanity are regulated to being basically gig workers for some quadrillion dollar AI megacorp where they sit around and wait to be prompted by the AI. "Draw a purple cat with pink stripes and a top hat" and then millions of freelance artists around the world start drawing a stupid picture of a cat because the model determined that it had insufficient training data to produce high quality results for the given prompt. And that's how everyone lives their lives....just working to feed the model but everything consumed is generated by the model. It's rather dystopian.
That will likely always be the case. Even 100% synthetic data has to come from somewhere. Great synopsis! Working for hire to feed a machine that regurgitates variations of the missing data sounds dystopian. But here we are, almost there.
1. Interacting with the randomness of the world
and
2. Thinking a lot, going in loops and thought loops and seeing what they discover.
I don't expect them to need humans forever.
Hallucinations are highly creative as well. But unless the technology changes, large language models will need human-made training substrate data for a long time to operate.
I've been trying to figure out how to retool the story to fit a timeline where ubiquitous AI that can write poems and paint pictures predates ubiquitous self-driving cars.
In general though, I don't think the extra reasoning ability is going to enable it to displace that much farther than it already will, GPT lives in a box and responds to prompts. When it's connected to multiple layers of real-time sensor data and self-directing, that'll be another story.
https://www.theinformation.com/articles/openai-shifts-ai-bat...
There were independent efforts to create AI agents since last year as well. AutoGPT and BabyAGI iirc. They didn’t go far probably because the LLM used was not good enough for that.
Indeed, there is a risk it completely devalues creative jobs. That's ironic. Even if you can still use AI creatively, it removes the pleasure of creating. Prompting feels like filling Excel sheets while also feeding a pachinko machine.
Unfortunately, LLMs aren't intelligent in any way, so you cannot ask them to synthesize any kind of second-order knowledge.
This is why they won't take away the creative work, either. They are fundamentally incapable of creating anything new.
AI is cheaper than a high paid designer, developer, writer, etc.
A robot is more expensive than a human laborer.
It's really funny to see the squirm from those thinking truckers would be automated away, not them.
Not when intelligence is cheap and highly abundant. Perfecting general robotics as an improvement on humans will be quick. The upper limit of strength and consistency is much higher.
It is currently more expensive to build a robot for many tasks than it is to have a human do it.
> Perfecting general robotics as an improvement on humans will be quick.
It has not been nor is there any indication it will be.
Same with robotics. Lots of potential, but hasn't happened yet. If you read the description, Sora, is based out of trying to simulate the physical world to solve physics based problems. Something that would be perfect for the next leap in robotics.
There's no physical task that robots have replaced humans for me.
Hell, even the roomba sucks (pun intended) and my wife has to pick up the slack.
Less glibly, no matter how good you are at following instructions, tearing out a wall filled with water than can destroy your home, fiberglass insulation that can damage your lungs and electrical wiring that can kill you will never be something I’d recommend a layman do. No matter how good the ai tutorials are.
> We’re teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction.
Text-to-video is just the flashy demo that everyone can understand after exposure to text-to-image. Once the model can "simulate the physical world in motion" it's only a few steps away from generic robotic control software that can automate a ton of processes that were impossible before.
Humans still have the benefit of dexterity and precise muscle control but in the vast majority of cases robots can overcome those limitations with better control software and specialized robotic end effectors. This won't soon replace someone crawling under a house or welding in awkward positions, but it could for example replace someone who flips burgers or does manual labwork.
This could eliminate the limiting factor for automating many manual processes. (ruh-roh)
If you use Sora like models to imagine what actions needed to be taken, then realize it, well, the only thing left is to create an arm/fingers that can took action, then you are done.
It's already very tempting for large entertainment businesses to create lazy remakes as it involves less risk. Automating creative jobs will create a shift at the production level but also on the receiving end: the public.
Yes that’s my whole point…
I claim that the first part is the more difficult one and where we have the bottleneck currently. Furthermore, generative video AI is exactly the kind of thing that would give a model an understanding of what kinds of things have to happen in order to make coffee.
The rest of us have no choice. Despite millions of artists, animators, etc. all being resoundly opposed to AI art, the models that infringe their work are still allowed to exist, and it seems they're fighting a losing battle.
A lot of people are being "hysterical" because a lot of people don't have a choice.
To be clear, the problem of these scenarios is tightly intertwined with the problem of unfettered capitalism and wealth inequality in general. Food and shelter require money, and we get money by working a job. If millions of jobs disappear overnight, then of course millions of people are going to be distressed over no longer having ready access to food and shelter.
The idea of "just getting another job" doesn't scale to the destruction of entire industries employing tens of millions of people. This is how depressions are made.
The idea of "the depression will end someday" is not only not necessarily true as wealth inequality skyrockets, but is also cold comfort to the people who will lose their houses and for some, lives, due to the disruption.
A different economic system could perhaps allow us to appreciate these technological advances without worrying about them displacing our ability to live. But the American political system consistently and firmly rejects any ideas not rooted in social darwinist capitalism.
For your sake, I hope your resume is very impressive.
"Companies employing people" will be replaced by "people employing AI". Open models are free, small, fast, trainable and easy to use. They capture 90% of the value at 10% the cost, and are private.
What we're looking at is a massive decrease in the relative economic value of the average human's work. If the economic value of a hundred people is less than what the company can produce with a single human operator running AI models, then those 100 people are economically worthless, and don't get to eat.
We drastically need to tax the usage of AI models on the huge windfall they're about to create for their operators, and use that to fund universal basic income for those displaced. Generally speaking, as automation and wealth disparity skyrocket, UBI will be required to maintain any semblance of the society we currently have. I am incredibly pessimistic about the chances of that happening in any real way though.
Fully-functional autonomous driving will have a much larger economic impact - and that's just the first area where autonomous robots will come into our lives.