Most AI systems have a choice: learn something new, or remember what they already know.
Not both. One or the other.
Biology solved this problem millions of years ago with astrocytes, cells that act as gatekeepers, deciding when neural connections are allowed to change and when they need to be protected.
Neuraxon now models this. Volume 5 of the Intelligence Academy breaks down how astrocytic gating gives the network something most AI systems don't have: the ability to keep learning without destroying what it already knows.
The stability-plasticity problem is one of the hardest challenges in AI.
Qubic is solving it with biology, not brute force.
