461–470 of 699 posts
All this work is impressive, but I'd rather have better trains
Isn't a vehicle that goes from anywhere to anywhere on your own schedule, safely, privately, cleanly, and without billions in subsidies better?
Source? The biggest source of environmental issues from EVs, tire wear from a heavier vehicle, absolutely applies to AVs. VC subsidizing low prices only to hike them later isn't exactly "without subsidy" - we pay for it either way
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Google has been doing more R&D and internal deployment of AI and less trying to sell it as a product. IMHO that difference in focus makes a huge difference. I used to think their early work on self-driving cars was primarily to support Street View in thier maps.
Google and OpenAI are both taking very big gambles with AI, with an eye towards 2036 not 2026. As are many others, but them in particular. It'll be interesting to see which pays off and which becomes Quibi
This would give the ability to see things other cars cannot see as well.
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There was a point in time when basically every well known AI researcher worked at Google. They have been at the forefront of AI research and investing heavily for longer than anybody. It’s kind of crazy that they have been slow to create real products and competitive large scale models from their research. But they are in full gear now that there is real competition, and it’ll be cool to see what they release over th…
I also think the presence of Sergey Brin has been making a difference in this.
https://www.wsj.com/finance/jeffrey-epstein-advised-sergey-b...
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As someone who lives in the Bay Area we already have trains, and they're literally past the point of bankruptcy because they (1) don't actually charge enough maintain the variable cost of operations, (2) don't actually make people pay at all, and (3) don't actually enforce any quality of life concerns short of breaking up literal fights. All of this creates negative synergies that pushes a huge, mostly silent segment…
Very few transit agencies have fares that cover services. I know others said this, but I wanted to add my take as well
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The depths you are trying to estimate are to the other cars, people, turnings, obstacles, etc. Could be 100m away or more on the highway.
ok, but the point trying to be made is based on human's depth perception, but a car's basic limitation is the width of the vehicle, so there's missing information if you're trying to figure out if a car can use cameras to do what human eyes/brains do.
All the shit out there in the world is another story.
Suddenly all this focus on world models by Deep mind starts to make sense. I've never really thought of Waymo as a robot in the same way as e.g. a Boston Dynamics humanoid, but of course it is a robot of sorts. Google/Alphabet are so vertically integrated for AI when you think about it. Compare what they're doing - their own power generation , their own silicon, their own data centers, search Gmail YouTube Gemini wor…
I view Tesla also more as a robot company than anything else.
Suddenly all this focus on world models by Deep mind starts to make sense. I've never really thought of Waymo as a robot in the same way as e.g. a Boston Dynamics humanoid, but of course it is a robot of sorts. Google/Alphabet are so vertically integrated for AI when you think about it. Compare what they're doing - their own power generation , their own silicon, their own data centers, search Gmail YouTube Gemini wor…
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That's a very interesting way of looking at it. Yes, you start with simulating something simpler than the real world. Then you use the real world. Then you need to go back to simulations for real-world things that are too rare in the real world to train with. Seems like there ought to be a name for this, like so-and-so's law.
hazrmard's law