Why this matters: - Neural nets excel at learning from raw …

Why this matters:
- Neural nets excel at learning from raw data but can struggle with compositional reasoning and explicit rules.
- Symbolic systems reason well and are interpretable, but they need clean symbols and are brittle with noise.
- Together, they aim for the best of both: robust perception + logical, explainable reasoning.