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Counter-argument: I remember seeing a talk by Andrej from a year or two ago and wasn't too impressed - it seemed like they had a huge amount of work left to do
by blueblisters 5y ago
Counter-argument: I remember seeing a talk by Andrej from a year or two ago and wasn't too impressed - it seemed like they had a huge amount of work left to do and put everything together for a reliable self-driving AI.
Everything they showed today, from the vision models to the path planning to labeling to simulation was bleeding edge. And they seem to have managed to put everything together in what appears to be a tremendous engineering effort. I can't see why they can't use a similar playbook for the humanoid robot and increase value over time. The vision framework they used for self-driving is fairly general and can probably adapted to humanoids. The action policy space is less re-usable but I suspect they have clever ideas on how to tackle that.
Musk may be bad at forecasting but he's darn good at selling stuff that half-works and then assembling a team that can execute on his vision.
- itsoktocry 5y agoIf it's bleeding edge, why does it underperform the competition?
- blueblisters 5y agoI'm speaking from my knowledge of the specific technologies they are using - it's fairly close to SOTA. I'm not aware of an apples-to-apples comparison of Tesla's autopilot with a similar system from the competition. Most competitors are using LIDARs and/or running their autonomous vehicles in limited geographical regions. IMO, the state space and action space is significantly more constrained in those cases.
- FartyMcFarter 5y agoHaving the ability to use LIDAR and not just cameras is less constrained, not more.