Talk:Restless Souls/Technology: Difference between revisions

:: Since direct training can be dangerous, slow and therefore ineffective, the '''AI gets pre-trained in a simulation''' where the robot is represented by a digital twin. By the nature of this construction, multimodal learning (MML) is predestined for robots. Like humans (or other real organisms), AIs should include an "inner world" for better understanding. The use of LLM is optional but seems to be a good design to improve human's ability to direct 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.'''   

:: Real abstract thinking probably requires also a form a symbolic AI. Since LLM and world models are already available, symbolic AI might be combined at some point with these approaches.

<!--* Further hybrid systems, optimization for ultra compact AGI-->

* '''AGI''' = Artificial General Intelligence, also "strong AI" ('''on par with human thinking''', ''a real AI'' capable to fully self-improve and drive its own development)