5 ms·
The leap was that now we have a plan for how to tackle these problems, we have tools that will actually work. Seemingly overnight those tools appeared and we r
by vokep 9y ago
The leap was that now we have a plan for how to tackle these problems, we have tools that will actually work. Seemingly overnight those tools appeared and we realized their potential. However, we still need to learn how to best use these new tools and perfect them. Just because we can do something doesn't mean we can do it good enough, yet.
- pzone 9y agoBut it's still easy to sucker 3 grand from all the people who didn't realize this.
- nopriorarrests 9y agoDo we know the tools that will work? Waymo uses expensive LIDAR's, and we dont know the price of the whole hardware set, since Waymo does not care about the price, they work on scientific problem. Tesla claims that cameras are enough and they can put it into mass-produced cars without changing the cost significantly. Pretty large gap, don't you think?
- ghaff 9y agoAnd you have to assume that optimizing this particular toolset gets you 100% (or at least approaching 100% in the limit) to solving the problem that you need to solve. Deep learning/neural nets popped for a variety of factors relative to a number of other techniques that had also been hanging around for ages. But there's no guarantee that past performance will be predictive of future results.