Most people live within a couple hours of a city though, and I think we'll see robot taxis in a majority of continents by 2035 though. The first couple cities and continents will take the longest, but after that it's just a money question, and rich people have a lot of money. The question then is: is the taxi cab consortium, which still holds a lot of power, despite Uber, in each city the in world, large enough to prevent Waymo from getting a hold, for every city in the world that Google has offices in.
Yeah where they have every inch of SF mapped, and then still have human interventions. We were promised no more human drivers like 5-7 years ago at this point.
High speed connectivity and off vehicle processing for some tasks.
Density of locations to "idle" at.
There are a lot of things that make all these services work that means they can NOT scale.
These are all solvable but we have a compute problem that needs to be addressed before we get there, and I haven't seen any clues that there is anything in the pipeline to help out.
The typical Lyft vehicle is a piece of junk worth less than $20k, while the typical Waymo vehicle is a pretend luxury car with $$$ of equipment tacked on.
Waymo needs to be proving 5-10x the number of daily rides as Lyft before we get excited
I suspect most gig drivers don't fully account for the cost of running their car, so these services are also being effectively subsidized by their workers.
You can provide almost any service at a loss, for a while, with enough money. We shouldn't get excited until Waymo starts turning an actual profit.
Well, if we say these systems are here, it still took 10+ years between prototype and operational system.
And as I understand it; These are systems, not individual cars that are intelligent and just decide how to drive from immediate input, These system still require some number of human wranglers and worst-case drivers, there's a lot of specific-purpose code rather nothing-but-neural-network etc.
Which to say "AI"/neural nets are important technology that can achieve things but they can give an illusion of doing everything instantly by magic but they generally don't do that.
imiric|7 months ago
Getting this tech deployed globally will take another decade or two, optimistically speaking.
prettyblocks|7 months ago
fragmede|7 months ago
mlazos|7 months ago
zer00eyz|7 months ago
High speed connectivity and off vehicle processing for some tasks.
Density of locations to "idle" at.
There are a lot of things that make all these services work that means they can NOT scale.
These are all solvable but we have a compute problem that needs to be addressed before we get there, and I haven't seen any clues that there is anything in the pipeline to help out.
stockresearcher|7 months ago
Waymo needs to be proving 5-10x the number of daily rides as Lyft before we get excited
wat10000|7 months ago
You can provide almost any service at a loss, for a while, with enough money. We shouldn't get excited until Waymo starts turning an actual profit.
financypants|7 months ago
joe_the_user|7 months ago
And as I understand it; These are systems, not individual cars that are intelligent and just decide how to drive from immediate input, These system still require some number of human wranglers and worst-case drivers, there's a lot of specific-purpose code rather nothing-but-neural-network etc.
Which to say "AI"/neural nets are important technology that can achieve things but they can give an illusion of doing everything instantly by magic but they generally don't do that.