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
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).
Humans can turn information into knowledge. AI can only extract predigested knowledge. That’s why they need such large data sets.
This is also why AGI is still a pipe dream. Most of the subsections already exist, but without a knowledge engine at its core, it’s like a person with a massive concussion. It sounds reasonable to simple conversation, but goes off on weird tangents.
I always find it fascinating to watch children learn and grow. The mistakes they make are often completely logical, they just have holes in their knowledge, and lack critical information. It leads to wonderful conclusions, which are also completely wrong.
AI models don’t really “know” anything
Actually human children acquire knowledge faster than AI because they learn context and understanding. Comprehensive. Which AI isn’t capable of doing.
And even compared to llms. A toddler child can learn verbal language faster.
They hear a word being used one time and can apply that word appropriately a short time later in a new situation. Because they learn context and understanding of the word properties.
Llms need literally millions of stolen literature to form sentences. And it’s just copy paste based on probabilities.
That’s not how humans work. We need way less exposure to have deep learning and comprehension. Sometimes only requiring a single experience of a word or response to know how to apply it to new scenarios.
The matrix makes more sense once again… Oh no
Unless you home school then how will you know they won’t be taught with AI?
Who is upvoting this crap??
Genuine question, why is this crap?
Having babies now is moronic. They’re doomed.
You must be a real hit at social gatherings.
