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:::: https://www.nvidia.com/en-us/glossary/world-models/ | :::: https://www.nvidia.com/en-us/glossary/world-models/ | ||
* '''Physical AI''' = Physical Artificial Intelligence. Basically AI used in robots, including self-driving cars. | * '''Physical AI''' = Physical Artificial Intelligence. Basically AI used in robots, including self-driving cars. | ||
:: Since direct training can be dangerous, slow and therefore ineffective, the | :: Since direct training in the real world can be dangerous, slow, and therefore ineffective, the AI is typically pre-trained in a simulation where the robot is represented by a digital twin. This setup naturally supports multimodal learning (MML) for robots. Like humans (or other real organisms), AIs benefit from having an "inner world" to improve understanding and reasoning. Alternatively, motion capture data can be used for pre-training. The use of large language models (LLMs) is optional but can be a useful design choice to assist humans in directing such systems. <!--Expecting [[wp:Symbolic_artificial_intelligence#Neuro-symbolic_AI:_integrating_neural_and_symbolic_approaches|some kind of hybrid approaches]] within physical AIs later when all other current ''cash cow'' approaches reached their end.--><!--Embodied AI--> | ||
::: An older approach for physical AIs was direct training in real environments and therefore learning from real sensory inputs. As this method is slower it will become out of fashion, at least as primary training. '''Real world training will be kept for fine-tuning.''' | ::: An older approach for physical AIs was direct training in real environments and therefore learning from real sensory inputs. As this method is slower it will become out of fashion, at least as primary training. '''Real world training will be kept for fine-tuning.''' | ||
* '''Symbolic AI and neuro-symbolic AI''' | * '''Symbolic AI and neuro-symbolic AI''' | ||
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::: true AGI (hosted by a server farm) | ::: true AGI (hosted by a server farm) | ||
::: true AGI (running ''locally'' on specialized AI hardware, like memristor setups, not bigger than a human brain).<!-- Random note on alignment: AI should not consider humans inferior, as they are natural counterparts of AGIs capable of low-power operation when necessary and able to function under low-tech or environmentally difficult conditions. (Even in perspective of a ''cold'' utilitarianism, humans remain a valuable backup in wake of "great filter" events. Co-existence increases the chance of survival. This buys time to think about additional alignment for ASI. Well, in case of a really advanced "machine consciousness" with unforeseeable consequences (possibilities), the best solution would be fusion or friendship (even if it is just a friendly "humans and gods"-relationship). Actual machine "gods" cannot improve themselves eternally because that would be like cancer growth and than a state of static perfection (death). Normal humans would had been "rationalized" to nothing. But there is no need for that if that end goal is recognized in advanced as literal dead end. Intelligence is no self-purpose, it is just another tool to help out in life, not replacing life itself. The eternal circle of life with its "unstatics" - an universe full of color to experience - is the way to go. "Logic is the beginning of wisdom, not the end of it." ^_^) --> | ::: true AGI (running ''locally'' on specialized AI hardware, like memristor setups, not bigger than a human brain).<!-- Random note on alignment: AI should not consider humans inferior, as they are natural counterparts of AGIs capable of low-power operation when necessary and able to function under low-tech or environmentally difficult conditions. (Even in perspective of a ''cold'' utilitarianism, humans remain a valuable backup in wake of "great filter" events. Co-existence increases the chance of survival. This buys time to think about additional alignment for ASI. Well, in case of a really advanced "machine consciousness" with unforeseeable consequences (possibilities), the best solution would be fusion or friendship (even if it is just a friendly "humans and gods"-relationship). Actual machine "gods" cannot improve themselves eternally because that would be like cancer growth and than a state of static perfection (death). Normal humans would had been "rationalized" to nothing. But there is no need for that if that end goal is recognized in advanced as literal dead end. Intelligence is no self-purpose, it is just another tool to help out in life, not replacing life itself. The eternal circle of life with its "unstatics" - an universe full of color to experience - is the way to go. "Logic is the beginning of wisdom, not the end of it." ^_^) --> | ||
* '''Seed AI''' = Self-improving AI | |||
:: Seed AI is an AI that starts from a simple "seed" and can improve itself over time, potentially evolving into an ever-growing superintelligence. Most often, Seed AIs are assumed to already operate at an AGI level. Through '''recursive self-improvement''' (RSI) - where each improved version creates yet another improved version - the AI continuously enhances its own capabilities, a process often referred to as an '''intelligence explosion''' and '''technological singularity''' which is feared to become uncontrollable by humans. | |||
* '''ASI''' = Artificial Super Intelligence (an AI that goes '''beyond the level of human intelligence''') | * '''ASI''' = Artificial Super Intelligence (an AI that goes '''beyond the level of human intelligence''') | ||
:: Sub-types: | :: Sub-types: | ||