3 ms·
My thoughts exactly. I've made those mistakes myself, many times. I guess I sort of assumed that Tesla would do three things: - Record the IRL decisions of 10
by specialist 5y ago
My thoughts exactly. I've made those mistakes myself, many times.
I guess I sort of assumed that Tesla would do three things:
- Record the IRL decisions of 100k drivers.
- Running FSD in the background, compare FSD decisions with those IRL decisions. Forward all deltas to the mothership for further analysis.
- Some kind of boid, herd behavior. If all the other cars drive around the monorail column, or going one direction on a one way roadway, to follow suit.
To your point, there should probably also be some sort of geolocated decision memory. eg When at this intersection, remember that X times we ultimately did this action.
- notahacker 5y agoI can see big issues in biasing a decision making algorithm too much towards average driver behaviour under past road conditions though, particularly if a lot of its existing issues are not handling novelty at all well...
- CyanLite2 5y agoPretty simple that an official Tesla employee could confirm that at this location, there's a giant concrete pillar here. Or worst case, at this location deactivate FSD and require human decision until you're outside of this geofenced area. They could do that with a simple OTA update. GM/Ford have taken this approach.
- specialist 5y agoImagine Tesla had Waze's traffic tracking data. The FSD could then infer that no other cars passed thru meridians, planters, and columns. It could infer that only busses travel in restricted lanes. It could infer that all traffic on a one-way road goes one way. And if FSD remembered its own decision every prior time, it could reconfirm its current decision. In other words, it could learn from every other vehicle and its own history.