- Humans learn continuously while deep learning networks should be pre-trained. ML cannot learn new things on the go (e.g. GPT-3).
- Deep learning networks are not flexible (see hierarchy of intelligence in ‣).
- Knowledge representation: today's deep learning networks don't possess knowledge.
Related:
References
A Thousand Brains