a map can be perfectly accurate
and still be useless tomorrow.
>roads close.
>construction appears.
>loading bays change.
>warehouses get rearranged.
for robots, stale data can be almost as bad as wrong data.
that’s why @vangrid_io’s continuous ground truth thesis makes sense to me.
instead of mapping a place once, the network can keep sending contributors back when reality changes.
capture
→ verify
→ update
→ repeat
the real product isn’t a better map.
it’s a map that knows when it stopped being true.
Physical AI doesn’t just need spatial data.
it needs reality with a refresh button.