3 ms·
we hope so! the bigger hope is to not just eat LLM market share, but to allow for people to use AI much more in the inner loop of software
by CompleteSkeptic 19d ago
we hope so! the bigger hope is to not just eat LLM market share, but to allow for people to use AI much more in the inner loop of software
- copperx 18d agoI'm sure you've thought of self-driving. How does the model work in that space?
- bobtheborg 18d agoGreat question! Yes, this works much like the doom player. Sensor data (LIDAR, velocity, etc.) becomes the state. You use the score primitive to operate the controls ("What level of braking should be applied" 0: None, 1: just slightly slowing down, 2: there's a suspicious cat on the side of the road you don't trust, ... Full disclosure, I am not they :=)
- dozerly 18d agoThis smells like a tool a more broadly capable LLM would take advantage of extremely well.
- wg0 18d agoBut the real problem in self driving isn't the decision making but object description. That is, computer vision if with cameras. Decision making isn't that of a bottleneck I suppose.
- sebzim4500 18d ago99.9% of the time you are right, but in the long tails (construction works, major road damage, temporary road markings that contradict permanent signs) I could see this kind of architecture being useful.