That's already started:
The next few years are going to be both amazing & terrifying for video generation. The video aspect is still very much in the early-development phase, but even basic projects hold TREMENDOUS promise:
Deep fake stuff is going to get scary. Imagine how useful it will be for extortion. Deep fake vid of you doing or saying something and if you don't send bitcoin they'll post it everywhere. It will also make legal cases interesting because people will be able to refute evidence and say it's deep fake.
But at what point is actual self-aware intelligence different from 'fancy if-then software'? Our own behaviors are arguable very simple in nature, just complex when interfaced with each other. In addition, AI is already far more capable than humans at a limited subset of tasks, and is quite capable of extrapolating for itself far beyond what most people give it credit for.To clarify, AI is a "crock" as in Hollywood-style self-aware software. It's just fancy if-then software.
But at what point is actual self-aware intelligence different from 'fancy if-then software'? Our own behaviors are arguable very simple in nature, just complex when interfaced with each other. In addition, AI is already far more capable than humans at a limited subset of tasks, and is quite capable of extrapolating for itself far beyond what most people give it credit for.
What I'm getting at, is at what point is actual intelligence indistinguishable from our programming? Like how do you define actual sapient intelligence, and how is that different than 'simple if-then programming'?Never; it's all hype. People want to believe in sentience & subsequently turn off their brains into considering the origins & structures of how the operations are executed in reality. Big data is all a sham; it's a house of cards. That doesn't mean it's not capable of wonderful (and scary!) things, or that it won't be disruptive to multiple industries. But it's all just fancy QBasic with a large data set lol.
The next few years is gonna be wild!
Trained AIs like neural nets (there are other methods as well) are already beyond "simple if-then programming". Data is stored in a structure that produces interesting outputs, but humans can't correlate the data with the output.What I'm getting at, is at what point is actual intelligence indistinguishable from our programming? Like how do you define actual sapient intelligence, and how is that different than 'simple if-then programming'?
What I'm getting at, is at what point is actual intelligence indistinguishable from our programming? Like how do you define actual sapient intelligence, and how is that different than 'simple if-then programming'?
Data is stored in a structure that produces interesting outputs, but humans can't correlate the data with the output.
All fair points, I'd love to see more of this implemented in the current models. I will point out that at least with gpt4, it functionally has memory within a given conversation. I've gotten pretty far in the weeds with it before on very theoretical (not something humans have done afaik) topics. It's smarter than people give it credit for.Trained AIs like neural nets (there are other methods as well) are already beyond "simple if-then programming". Data is stored in a structure that produces interesting outputs, but humans can't correlate the data with the output.
An AI doesn't usually have an inner voice. It can't think something to itself and respond to itself. Though Auto-GPT is a step in that direction.
An AI can't listen to its environment and decide when to respond or when not to. It also can't randomly have a thought, and work that though through to a point where it says something interesting out of the blue. It's a stimulus-response machine. This one I don't know how to solve.
Large language model AIs don't currently have the ability to form new long-term memories. I have some ideas along that line, but LLMs are always likely to be limited in the new information they can retain. Whether this is important for sapience is debatable, but I think it is.
I think a LLM with memory, multiple voices, and the capability to filter through great amounts of input - including those of its other voices - and decide when to respond might be in the vicinity of sapience.
Memory plus random thoughts should be designed to lead to questions, the way a toddler asks why constantly. This leads toward sapience for humans; it might for AIs as well.
Was just gonna say, wait until I tell you how the brain works.They run on electricity & processors, so if you shut the power off, no workie! Although I guess the same could be said for us meat-engines LOL
Sounds simple until an army of T-1000s is guarding the entire power chain from generation to grid to AI brain. I imagine in near the future power delivery will be wireless similar to Independence Day alien technology.... you call Hydro to pull the fuse at the pole and the batteries will eventually run out. And say we live in a future where even the fuses are AI controlled, you just cut the triplex going to the building.
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You just gave me a crazy idea for a movie. Gonna have to generate the screenplay on an offline GPT to keep it from getting stolen. Thanks!They run on electricity & processors, so if you shut the power off, no workie! Although I guess the same could be said for us meat-engines LOL
Another idea to flesh out my screenplay. I'm gonna be a multimillionaire!I imagine in near the future power delivery will be wireless similar to Independence Day alien technology.
i prefer the old grizzled look of Abe Lincoln.They're also using digital "siblings" to merge vintage photograph in order to counteract the effects of old-time photography. For example, early photography apparently had something called the "old man wrinkle effect".
The AI digital-twinning technique aims to remove old-timey effects to create a more accurate representation of how people ACTUALLY looked back in the day.
Abraham Lincoln:
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Henry Ford:
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