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Driverless cars are here, without liability issues they would already be widespread. But scaling isn't what got them there. It was tons of labeled data, both fr

Driverless cars are here, without liability issues they would already be widespread. But scaling isn't what got them there. It was tons of labeled data, both from rules based implementations and shadowing human drivers. The ability to generalize completely outside training data isn't that common among humans IME. That is a high bar. How many of us have done so without at least drawing an analogy to some other experience we have had? Truly unique thinkers aren't that commonplace. I myself could have probably just asked an LLM what I would say in this post and gotten pretty close...

rchaud 3y ago
> Driverless cars are here, without liability issues they would already be widespread In other words, they're in a lab somewhere undergoing perpetual test runs so they don't kill people, so not generally available. It is like saying that email was available in the '80s, you just couldn't message anybody outside of the university network.
- naasking 3y ago
  You can order driverless taxis right now in some cities: https://www.axios.com/2023/08/29/cities-testing-self-driving-driverless-taxis-robotaxi-waymo https://www.axios.com/2023/08/29/cities-testing-self-driving...
  - MatthiasPortzel 3y ago
    That article is discussing Cruise. Since it was published, a Cruise car dragged a pedestrian 20 ft, it came out that they need remote intervention every few miles, the CEO resigned, and they stopped doing rides anywhere. Waymo remains available to my knowledge.
  - loire280 3y ago
    However, they require constant human monitoring and interventions from those humans every few miles to work properly - and it's not clear that the need for those interventions will be solved with more training data. https://www.theverge.com/23948708/cruise-robotaxi-suspension-trust-remote-assist https://www.theverge.com/23948708/cruise-robotaxi-suspension...
    - tivert 3y ago
      > However, they require constant human monitoring and interventions from those humans every few miles to work properly It's a little-known fact that AI means "Actually, Indians." https://boingboing.net/2024/04/03/amazons-ai-powered-just-walk-outcheckout-option-turns-out-to-be-1000-workers-watching-you-shop.html https://boingboing.net/2024/04/03/amazons-ai-powered-just-wa...
- minitoar 3y ago
  No, I think he meant they are literally here. I see one everyday.
parpfish 3y ago
> But scaling isn't what got them there. It was tons of labeled data, both from rules based implementations and shadowing human drivers. Isn't the second half of that saying that scaling up the dataset was what got them where they are? When I hear about "scaling up" models, I think there are two parts of it: 1) use the same architecture, but bigger 2) make the training data bigger to make use of all those new parameters. So when I hear about something that's not scaling, it would require some sort of fundamental change to architecture or algorithms.
staticman2 3y ago
> Driverless cars are here, without liability issues they would already be widespread. In the sense that if you were allowed to run over anyone without legal consequences lots of tech enthusiasts would sign up for this experience?
- deleted 3y ago
  [deleted]

rchaud 3y ago

> Driverless cars are here, without liability issues they would already be widespread In other words, they're in a lab somewhere undergoing perpetual test runs so they don't kill people, so not generally available. It is like saying that email was available in the '80s, you just couldn't message anybody outside of the university network.

naasking 3y ago
You can order driverless taxis right now in some cities: https://www.axios.com/2023/08/29/cities-testing-self-driving-driverless-taxis-robotaxi-waymo https://www.axios.com/2023/08/29/cities-testing-self-driving...
- MatthiasPortzel 3y ago
  That article is discussing Cruise. Since it was published, a Cruise car dragged a pedestrian 20 ft, it came out that they need remote intervention every few miles, the CEO resigned, and they stopped doing rides anywhere. Waymo remains available to my knowledge.
- loire280 3y ago
  However, they require constant human monitoring and interventions from those humans every few miles to work properly - and it's not clear that the need for those interventions will be solved with more training data. https://www.theverge.com/23948708/cruise-robotaxi-suspension-trust-remote-assist https://www.theverge.com/23948708/cruise-robotaxi-suspension...
  - tivert 3y ago
    > However, they require constant human monitoring and interventions from those humans every few miles to work properly It's a little-known fact that AI means "Actually, Indians." https://boingboing.net/2024/04/03/amazons-ai-powered-just-walk-outcheckout-option-turns-out-to-be-1000-workers-watching-you-shop.html https://boingboing.net/2024/04/03/amazons-ai-powered-just-wa...
minitoar 3y ago
No, I think he meant they are literally here. I see one everyday.

parpfish 3y ago

> But scaling isn't what got them there. It was tons of labeled data, both from rules based implementations and shadowing human drivers. Isn't the second half of that saying that scaling up the dataset was what got them where they are? When I hear about "scaling up" models, I think there are two parts of it: 1) use the same architecture, but bigger 2) make the training data bigger to make use of all those new parameters. So when I hear about something that's not scaling, it would require some sort of fundamental change to architecture or algorithms.

staticman2 3y ago

> Driverless cars are here, without liability issues they would already be widespread. In the sense that if you were allowed to run over anyone without legal consequences lots of tech enthusiasts would sign up for this experience?

deleted 3y ago
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