B
betstarship
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That Isaacson book drop of his biography on Elon Musk is on September 12th...might have relevance on TSLA?
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Consider the possibility that your neighbor is just sick of you bragging about your Tesla. Just sayin'.OT my neighbor was razzing me about a news report that a couple of Teslas burned after being submerged in salt floodwaters around the Tampa area. Super annoying.
Please excuse the interruption, I just needed to vent.
[CUE: debate over if trains or individual robocars are the best mass transit solution...]
That would of course depend on the definition of mass transit. You can't get much mass in a robocar.
Why would they cover the CT's in the parking lot and then ship them uncovered? They'll get dirty on the truck trailer.
Why would they cover the CT's in the parking lot and then ship them uncovered? They'll get dirty on the truck trailer.
That would of course depend on the definition of mass transit. You can't get much mass in a robocar.
Why would they cover the CT's in the parking lot and then ship them uncovered? They'll get dirty on the truck trailer.
Think «swarm transit», perhaps.That would of course depend on the definition of mass transit. You can't get much mass in a robocar.
Think «swarm transit», perhaps.
Interesting, nice to see others put numbers on their forecasts. Our models are broadly similar. Setting aside two issues ....So in the past we have discussed the JPR007 valley of death graphic.
we've covered multiple issues with it. My first step at improving it was to fact check the historical data. I found widely varying numbers (and could find some that matched) but settled on using Cars from 2022 statistics | www.oica.net and prior years
The peak is in the same year (2017) but the scale is smaller because I excluded commercial vehicles. I'm not sure what OICA considers a commercial vehicle so that might have to be revisited.
I didn't bother fact checking the EV production numbers. I might revisit that also.
This is a first attempt at a new "valley of death" chart based on the OICA numbers. I've got what are likely very poor guesses for 2023 to 2030. I kept the 2025 as the low production year like JPR007 had it and just fudged the numbers until the curve looked interesting.
But if you would like to critique, I'll make it prettier once we settle on content.
Elon was awarded the last 4 tranches of the 2018 CEO plan in 2022, so that article is wrong.Lucid’s Peter Rawlinson is highest paid auto CEO in 2022 with $379 million compensation
The highest-paid automotive CEO of 2022 was Lucid Motors CEO Peter Rawlinson, who received a total compensation of $379 million.www.teslarati.com
Elon's still not taking a salary, right?
Is there some sort of inverse-squared relationship between salary and performance?
I've been working on the formatting and slightly adjusting the curves in projections, the most recent version I had saved has 1M ICE/Hybrid in 2030 so not 100% conversion by then just 98.75% and that is with excluding commercial vehicles which might be slower to convert.Interesting, nice to see others put numbers on their forecasts. Our models are broadly similar. Setting aside two issues ....
- commercial vs cars;
- future 'steady-state' demand level;
.... I think that data-this-far suggests you are slightly over-optimistic. My graph below is on the basis of (all) total vehicles per Sales Statistics | www.oica.net and I assume steady state of 94m/yr which would be 28m commercial and 66m passenger cars. The point being that in 2030 the S-curve data thus far suggests an outcome of 6m/y of ICE, i.e. 7% ICE remaining at that point vs 87m BEV, 93%. Hence my thought that you are being more optimistic than the data thus far would tend to support. You are suggesting a 100% transfer by 2030 whereas I think it will be a 93% transfer by 2030.
If there is a change in the commercial vs passenger build ratio then that might affect matters, though I don't think that likely to stray far from the 68-70% norm. Of course the US-ians with their distorting "light trucks" are the fly in the ointment here, but Tesla Cybertruck is about to show the way. That in turn suggests to me that the existing distortion will remain unchanged.
If there is a different steady-state-ish mfg volume then that could affect things. A higher volume (which is what you are suggesting as you are only counting passenger cars) would really tend to delay the switch, i.e. the reverse of the mkt share ICE/BEV that you suggest. There might be various complex dynamic issues in play at that point which on balance I think would tend to suppress demand. The 2016-2018 total peak was 95-97m/yr so that informed my view of 94m/yr given that thought. I don't have a formal validated dynamic model of this issue so I am driving on my own judgement in this respect.
I tend to agree that all PHEV, HEV, and FCEV are distracting rounding errors that will have largely washed through by then.
2012 | 63.0 | 0.1 |
2013 | 65.6 | 0.1 |
2014 | 67.6 | 0.2 |
2015 | 68.2 | 0.3 |
2016 | 71.6 | 0.5 |
2017 | 73.0 | 0.5 |
2018 | 69.1 | 1.4 |
2019 | 65.4 | 1.7 |
2020 | 53.5 | 2.3 |
2021 | 52.3 | 4.8 |
2022 | 54.9 | 6.7 |
If Boring company achieves their goals then Loop systems will outperform urban trains on every metric of merit. It’s not even a trade-off. Loops with autonomous EVs win by a wide margin on:Inner city to city? 100% trains. I haven't needed a car in 15+ years, and wouldn't trade my bikes/trains for a car even if it had FSD v44.5.
Every time I accept a ride with friends (to make them happy), I end up losing my time in traffic. PS: I know its a privilege (I live in Paris, France) but it's a way of life too and wouldn't be that difficult to rebuild countries designed for people (instead of cars)
NB: markets are closed today right?
While I agree with you, let’s not get this thread derailed (ha!) into a train vs Loop discussion please! It is yet another third rail type of topic.If Boring company achieves their goals then Loop systems will outperform urban trains on every metric of merit. It’s not even a trade-off. Loops with autonomous EVs win by a wide margin on:
The best transportation solution is eco-friendly, grade-separated personal rapid transit, and the technology to enable PRT is finally arriving this decade. For PRT to work well, we need smartphones, mobile internet, cheap AEVs, cheap narrow tunnels, and a wealthy leader crazy enough to try the idea. Almost all of these elements are now in place. The century-old cars vs. trains debate will be moot if this works. A string of robotaxis in a tunnel effectively is a subway train except the vehicles are dynamically linked with software instead of statically linked with steel. Dynamic linkages have massive benefits.
- speed
- cost (both upfront and ongoing)
- safety
- waiting time for vehicle
- capacity (including flexibility too, since vehicles can be dynamically routed to wherever demand is highest at any given time)
- station density per neighborhood
- ride comfort
- reliability
- arrival time predictability
- privacy
- user simplicity (no routes or timetables to learn; just tell Loop desired destination)
- integration with existing surface road infrastructure
- construction ease and risk
- noise pollution
- energy efficiency
- resiliency against disasters, natural or manmade
- communicable disease risk
(By the way, I like the train system in Paris and I had only a bike for transportation most of my adult life thus far.)
Here’s a good summary:
Lost Wages should be a great test for the above... not to mention great marketing for Tesla!If Boring company achieves their goals then Loop systems will outperform urban trains on every metric of merit. It’s not even a trade-off. Loops with autonomous EVs win by a wide margin on:
The best transportation solution is eco-friendly, grade-separated personal rapid transit, and the technology to enable PRT is finally arriving this decade. For PRT to work well, we need smartphones, mobile internet, cheap AEVs, cheap narrow tunnels, and a wealthy leader crazy enough to try the idea. Almost all of these elements are now in place. The century-old cars vs. trains debate will be moot if this works. A string of robotaxis in a tunnel effectively is a subway train except the vehicles are dynamically linked with software instead of statically linked with steel. Dynamic linkages have massive benefits.
- speed
- cost (both upfront and ongoing)
- safety
- waiting time for vehicle
- capacity (including flexibility too, since vehicles can be dynamically routed to wherever demand is highest at any given time)
- station density per neighborhood
- ride comfort
- reliability
- arrival time predictability
- privacy
- user simplicity (no routes or timetables to learn; just tell Loop desired destination)
- integration with existing surface road infrastructure
- construction ease and risk
- noise pollution
- energy efficiency
- resiliency against disasters, natural or manmade
- communicable disease risk
(By the way, I like the train system in Paris and I had only a bike for transportation most of my adult life thus far.)
Here’s a good summary: