No large training sets? The baby is updating their training data set every second with new sounds, images and other sensory inputs (smell, touch). Current data centers would be overwhelmed with the amount of data that one child processes every day.
Difference is that a child/baby can recognize an item simply from ONE “video” (vision) of it. It can also recognize drawn versions and similar versions of the same item. For instance an elephant can be viewed once and for ever be recognized in multiple forms
Also the use of tools. Once a human that’s never seen a glass or a mug before, child or not, sees someone drinking out of a glass, it knows EXACTLY how glasses work and how to use them. It’s not learning through repetition the way an LLM does, it’s learning through understanding.
Yes, but only after learning about types of objects and types of visualisations on thousands of examples. For example they see people (parents, siblings and others), they see drawings of people in books, they see people as toy figurines, that way they learn concepts like drawing and sculpting, they can recognise that concept and copy it on different ideas (for example they can imagine how crocodile looks like even though they only see it in a book). That actually is similar to AI image generation, where you can add images of a person (only photos) and examples of an art style. And AI will be able to generate images of that person using that art style (with various success).
No large training sets? The baby is updating their training data set every second with new sounds, images and other sensory inputs (smell, touch). Current data centers would be overwhelmed with the amount of data that one child processes every day.
Difference is that a child/baby can recognize an item simply from ONE “video” (vision) of it. It can also recognize drawn versions and similar versions of the same item. For instance an elephant can be viewed once and for ever be recognized in multiple forms
Also the use of tools. Once a human that’s never seen a glass or a mug before, child or not, sees someone drinking out of a glass, it knows EXACTLY how glasses work and how to use them. It’s not learning through repetition the way an LLM does, it’s learning through understanding.
Yes, but only after learning about types of objects and types of visualisations on thousands of examples. For example they see people (parents, siblings and others), they see drawings of people in books, they see people as toy figurines, that way they learn concepts like drawing and sculpting, they can recognise that concept and copy it on different ideas (for example they can imagine how crocodile looks like even though they only see it in a book). That actually is similar to AI image generation, where you can add images of a person (only photos) and examples of an art style. And AI will be able to generate images of that person using that art style (with various success).