Self driving cars as so far pretty shit. They have a tendency to fail ungracefully leading to considerable death and destruction.
This could be fixed by making purpose built roads for electric cars so that the environment is always predictable. However at that point you’re describing a train track and might as well run trains on it.
I’m gonna lay this on you, but it is not an attack on you specifically. A railroad track, while way more expensive upfront, has a way lower maintenance cost on the long run. Asphalt road, while cheaper upfront, essentially needs to be rebuild virtually from scratch every six months or so. Depending on weather and heavy load usage, an asphalt road –despite being made out of almost 90% recyclable material– will cost just as much and maybe even much more than rail over the span of 10 years. On the same page rail is, not entirely but almost, completely impervious to weather and heavy load damage. So the maintenance costs are nearly fixed and highly predictable. Asphalt is variable and unpredictable, a road could last 18 months or 3 months. Finally, the labor costs of road maintenance are way higher than rail maintenance, while being several times more deadly. Because drivers keep insisting on running over road workers.
I guess you’re a shill and are going to say that self driving cars have caused way less death than human operated ones. While true, statistically the deaths caused by each self driving car is much higher than by each human operated car.
Also it should be argued that a machine should be held to a higher safety standard than a human.
Not sure where you get your numbers shout DEATH AND DESTRUCTION!!! about self driving cars. I can only assume it’s out of your ass.
It doesn’t even matter. 65 fatalities over a few years is nothing. What matters is how the technology improves in the next years and how the numbers look once there is significant adoption. That it’s as good as it is now basically means you’re already wrong.
First of all thank you for a more well reasoned answer.
I do think that there are several issues remaining however. First of all the cited article states that in case matched scenarios autonomous vehicles are less likely to crash, however this does not apply in bad weather conditions where they are about 6 times more likely to crash.
The above illustrates my point about failing gracefully, the autonomous systems work great under a huge range of conditions, the catch being that these conditions have to be preconceived. When encountering new conditions these systems tend to fail. These untested conditions might occur to bad visibility or water over camera lenses and so on. A human just is better at adapting to new situations quickly which is also confirmed in the above figures.
Now to the point of the future development and mass adoption I am not really opposed due to safety concerns, it is possible to make these systems safe. However in order to make them safe you would have to make their surroundings extremely predictable. I.e. you would have to adapt the infrastructure to suit the autonomous car. If you’re building infrastructure anyway, why not built rail infrastructure? It’s proven, cheaper, more efficient, has a proven safety record and is environmentally friendly.
Cars are great for situations where you need transport over areas that are quite unpredictable e.g. many rural areas with badly maintained roads. However autonomous vehicles are not suited for this unpredictability.
The fact that autonomous vehicles are being pushed anyway regardless of the risks is stupid in my opinion as the resources and brain cycles could be much better invested.
I don’t know how to prove I’m a human… cock shit asshole with fucking toejam stuck in my dickhole… is that something AI would say? Does that work for you.
In 2017 about 20% of companies were using AI. In 2025 that number was at 88%
“The share of respondents saying their organizations are using AI in at least one business function has increased since our research last year: 88 percent report regular AI use in at least one business function, compared with 78 percent a year ago. At the enterprise level, the majority are still in the experimenting or piloting stages with approximately one-third reporting that their companies have begun to scale their AI programs”
“The use of AI overall is broadening within organizations. Respondents increasingly report that their organizations are using AI in more business functions. More than two-thirds of respondents now say their organizations are using AI in more than one function, and half report using AI in three of more functions.”
“By industry, the use of AI agents is most widely reported in the technology, media and telecommunications, and healthcare sectors.”
“Many companies, particularly smaller ones, have yet to integrate AI deeply across their workflows… Nearly half of respondents from companies with more than $5 billion in revenue have reached the scaling phase, compared with 29 percent of those with less than $100 million in revenues”
Cool, although I hope you’re aware that you’re confusing LLMs (mainstream in 2022) and machine learning which has existed for decades. Also what does this have to do with self driving cars?
Self driving cars as so far pretty shit. They have a tendency to fail ungracefully leading to considerable death and destruction.
This could be fixed by making purpose built roads for electric cars so that the environment is always predictable. However at that point you’re describing a train track and might as well run trains on it.
but… you have to lay down tarmac instead of metal rails
I’m gonna lay this on you, but it is not an attack on you specifically. A railroad track, while way more expensive upfront, has a way lower maintenance cost on the long run. Asphalt road, while cheaper upfront, essentially needs to be rebuild virtually from scratch every six months or so. Depending on weather and heavy load usage, an asphalt road –despite being made out of almost 90% recyclable material– will cost just as much and maybe even much more than rail over the span of 10 years. On the same page rail is, not entirely but almost, completely impervious to weather and heavy load damage. So the maintenance costs are nearly fixed and highly predictable. Asphalt is variable and unpredictable, a road could last 18 months or 3 months. Finally, the labor costs of road maintenance are way higher than rail maintenance, while being several times more deadly. Because drivers keep insisting on running over road workers.
Alternative facts?
Ummm… no?
I guess you’re a shill and are going to say that self driving cars have caused way less death than human operated ones. While true, statistically the deaths caused by each self driving car is much higher than by each human operated car.
Also it should be argued that a machine should be held to a higher safety standard than a human.
I looked for studies, but completely autonomous driving has too little data yet. But from A matched case-control analysis of autonomous vs human-driven vehicle accidents | Nature Communications, severe injury and fatalities are lower. I suspect “per driven mile” it’s even less and it depends on model.
Not sure where you get your numbers shout DEATH AND DESTRUCTION!!! about self driving cars. I can only assume it’s out of your ass.
It doesn’t even matter. 65 fatalities over a few years is nothing. What matters is how the technology improves in the next years and how the numbers look once there is significant adoption. That it’s as good as it is now basically means you’re already wrong.
First of all thank you for a more well reasoned answer.
I do think that there are several issues remaining however. First of all the cited article states that in case matched scenarios autonomous vehicles are less likely to crash, however this does not apply in bad weather conditions where they are about 6 times more likely to crash.
The above illustrates my point about failing gracefully, the autonomous systems work great under a huge range of conditions, the catch being that these conditions have to be preconceived. When encountering new conditions these systems tend to fail. These untested conditions might occur to bad visibility or water over camera lenses and so on. A human just is better at adapting to new situations quickly which is also confirmed in the above figures.
Now to the point of the future development and mass adoption I am not really opposed due to safety concerns, it is possible to make these systems safe. However in order to make them safe you would have to make their surroundings extremely predictable. I.e. you would have to adapt the infrastructure to suit the autonomous car. If you’re building infrastructure anyway, why not built rail infrastructure? It’s proven, cheaper, more efficient, has a proven safety record and is environmentally friendly.
Cars are great for situations where you need transport over areas that are quite unpredictable e.g. many rural areas with badly maintained roads. However autonomous vehicles are not suited for this unpredictability.
The fact that autonomous vehicles are being pushed anyway regardless of the risks is stupid in my opinion as the resources and brain cycles could be much better invested.
No, reality.
we’re going to need a source on that
Ok Im assuming you’re either deluded, paid or an LLM. In the case you’re actually human, go find some statistics.
I don’t know how to prove I’m a human… cock shit asshole with fucking toejam stuck in my dickhole… is that something AI would say? Does that work for you.
Anyway,
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
In 2017 about 20% of companies were using AI. In 2025 that number was at 88%
“The share of respondents saying their organizations are using AI in at least one business function has increased since our research last year: 88 percent report regular AI use in at least one business function, compared with 78 percent a year ago. At the enterprise level, the majority are still in the experimenting or piloting stages with approximately one-third reporting that their companies have begun to scale their AI programs”
“The use of AI overall is broadening within organizations. Respondents increasingly report that their organizations are using AI in more business functions. More than two-thirds of respondents now say their organizations are using AI in more than one function, and half report using AI in three of more functions.”
“By industry, the use of AI agents is most widely reported in the technology, media and telecommunications, and healthcare sectors.”
“Many companies, particularly smaller ones, have yet to integrate AI deeply across their workflows… Nearly half of respondents from companies with more than $5 billion in revenue have reached the scaling phase, compared with 29 percent of those with less than $100 million in revenues”
Cool, although I hope you’re aware that you’re confusing LLMs (mainstream in 2022) and machine learning which has existed for decades. Also what does this have to do with self driving cars?