Bike Lanes have turned out to be an interesting edge case.
Waymos are currently dropping off and picking up passengers in a bike lane which is not legal (because it is dangerous) however many ride share drivers also do this. As somebody who is commonly a biker / pedestrian I am excited that AVs will likely make many things safer for that class of user. That being said, I do worry about how we encode these "social understandings" of laws.
- A waymo I rode in on a highway was happy to go slightly above the speed limit
- It seems at stop signs waymo prefers to be slightly aggressive to make it through rather than follow the letter of the law.
It seems silly that we have to teach robots to break certain laws sometimes but parking in bike lanes / yielding to pedestrians are laws that human drivers break all the time and I hope the mechanisms mentioned in the article prevent us from teaching robots to program anti-social but common behavior.
A person who drives 12k miles per year in an small vehicle will need about 4000 kWh of electricity or about 600 gallons of gas. Australians are able to buy solar panels that will generate that amount of electricity for a generation for the price of gas for one or two years. Of course there are more costs associated (Installation, batteries, etc) but the cost equation is shifting very quickly.
If anything I'm surprised that this is happening in an area that hasn't benefited as much from dramatic reductions in electricity costs (places with Wind + Solar without large tariff regimes) rather than Australia or the southern latitudes of the US.
To me this feels a little like saying "the federal government doesn't know when people are born because births are registered with local governments". In practice this is all a matter of state capacity to keep track of this information. Given political will to make it happen, I don't see a reason why information about car sales couldn't make its way to the federal government in order to make tax filing simpler.
A car sale is an activity that is already registered with the government. It doesn't seem impossible for the data about an electric vehicle sale and it's purchase price to make its way to the IRS. The IRS could create an API to share this type of data with tax preparation software.
> their pet things that are obviously worth complicating the tax code to do
I agree that this is at the root of the problem but I think that can be addressed by making it easier to file taxes or by reducing the complexity of the tax code. The child tax credit is a relatively common type of benefit across rich countries. The tax code could be simplified by administering this benefit via direct cash transfers through a different government agency. I think from this perspective, the IRS is _extremely_ efficient at benefit administration.
My personal opinion is that the tax code is not always a bad way to administer benefits but the paperwork burden is the problem and the experience of filing taxes needs to be made easier.
My lessons from working on IRS direct file lead me to believe there are a couple reasons:
1) How the welfare state is administered - as an example, the US does a child tax credit as part of the tax code, other countries have agencies that are setup to give parents money directly. We are trying to do _more_ with our taxes.
2) State taxes - the fact that there are multiple agencies that have their own rules and procedures makes things more complicated. Many localities have their own laws which can be hard to deal with. Efile has improved this since there are fewer ways for states to ask for new information
3) A lack of political will to simply. For the purposes of taxes, the us have multiple definitions of "are you 65" (were you 65 on Jan 1, were you 65 on Dec 31, etc). This makes taxes more complicated than they need to be
4) Conflicts between making things simple and incentivizing a behavior things like no taxes on tips or an EV tax credit both make filling taxes more complicated with the way that the tax code works right now. With better systems, this could all be taken care of for the taxpayer but right now it would require a more complex tax filing process
Direct File was able to solve some of these problems, even automatically using data the government had already where possible. Ultimately I think it is possible to make taxes automatic in the US but the data flows required for it are probably more complex than in other countries due to the fragmented nature of the US government.
It's nice to see an open sourced implementation of the US tax code! This was part of the IRS Direct File codebase that allowed people to file their taxes for free, directly with the IRS. It was canceled earlier this year by the Trump administration. It looks like the Fact Graph was already opensourced a couple months ago and that version of the factgraph lives here: https://github.com/IRS-Public/direct-file/tree/main/direct-f...
I'm curious why a second repository was created for this.
> Not to disparage, but how did you come to that conclusion?
I did some math and you're clearly right. I think I imagined that with driver-less vehicles leaving much more frequently (10s per minute) one could catch up to the capacity of a small light rail system but that's clearly not the case. I had imagined that _maybe_ it could be an approach for a lower capacity system in the future.
My math as someone who is not knowledgeable in how to get this data is as follows:
In Seattle is running 4 car trains at 8 minute headways at peak which works out to 7500 people per hour at crush load (4 cars, 250 people per car, 7.5 times per hour). This would require 125 vehicles with 5 seats leaving every minute which is clearly impossible.
Looking at Portland's MAX, it looks like they often run 2 car service with 160 passengers of capacity each with service every 15 minutes so 1280 people per hour (2 cars, 160 per car, 4 services per hour).
1280 people per hour could be served by a 5 seat vehicle leaving every ~15 seconds. This I suppose is what I had expected would happen when I tried to imagine the best case scenario for this service.
Thanks for sharing this, I had understood prior to this video that the combo of self driving tech + dedicated tunnels might have capacity that rival a light rail system like Seattle has but that's clearly not the case in the current system. I'm curious why more of the autonomous driving tech isn't being used in what I might have thought would be an "easier" place to do it.
I had a different takeaway - that a lot of folks on here read Ben Thomson and respect his work! It sounds like Ben is pretty bullish on OpenAI and maybe he's convinced folks through his work to agree with this take.
Waymos are currently dropping off and picking up passengers in a bike lane which is not legal (because it is dangerous) however many ride share drivers also do this. As somebody who is commonly a biker / pedestrian I am excited that AVs will likely make many things safer for that class of user. That being said, I do worry about how we encode these "social understandings" of laws. - A waymo I rode in on a highway was happy to go slightly above the speed limit - It seems at stop signs waymo prefers to be slightly aggressive to make it through rather than follow the letter of the law.
It seems silly that we have to teach robots to break certain laws sometimes but parking in bike lanes / yielding to pedestrians are laws that human drivers break all the time and I hope the mechanisms mentioned in the article prevent us from teaching robots to program anti-social but common behavior.
https://futurism.com/future-society/waymo-bike-lanes-traffic