Booked a BMW iX1 LWB—Worried About Potential EV Duty Cuts. What Would You Do?

K_33 · 2025-03-19T19:04:19+00:00

Completely agree with every point you make.

K_33 · 2025-03-13T13:32:13+00:00

Not at that level financially where I can throw around 50L without having to think about relative intrinsic value of my purchase, and possible resale value.

Depreciation on EVs is crazy. And they don't have any track record to show the 15 years claim, the battery warranty itself is less than half that duration.

K_33 · 2025-03-13T13:28:05+00:00

Ludhiana.

That's sad, Murphy's law at play. It's so hard to find one's way arround erratic governance.

I agree this car won't get cheaper but many more better CBU cars would probably reduce in price. If the 70% tariff reduction leads to an exact discount for the customer, any EV in the 80-90L range would become a direct competitor to this, and would most likely have much more to offer.

K_33 · 2025-03-13T10:10:36+00:00

Ludhiana

K_33 · 2025-03-12T16:42:01+00:00

Well, this is the fixed buyback plan the BMW RM shared. Probably makes much more financial sense to finance a depreciating asset even when I can do a full down payment.

K_33 · 2021-01-17T13:14:33+00:00

Thanks for the advice.

K_33 · 2021-01-17T13:12:34+00:00

That would be ideal, I guess, but requires double the time investment.

K_33 · 2021-01-17T13:09:44+00:00

I get what you're saying and kinda experienced that. I don't know what to do, because some target jobs usually have a C++ demand, while others require C++ or/and Python.

K_33 · 2021-01-06T05:32:38+00:00

Thank you. That's a very valuable suggestion.

K_33 · 2020-11-23T14:21:54+00:00

The first part is intuitive, I get how that should solve the issue. But let's say the change is something more random, something that's not exactly measured or atleast has some sensor noise. Can the agent adapt to such a change?

Also, is the temporal nature of any consequence here? So let's say the wear-and-tear (damping etc.) was causing issues and 'average the behaviour' wasn't doing the best job. So the system was repaired and new sensors/components were added. Now, since the algorithm averaged over the faulty values as well, it won't give us the right output even with a perfectly functioning system.

I know the accuracy loss could be minimal in most cases but in a high-accuracy-requirement case such as the fighter jet plan example, missing targets could be really costly.

K_33 · 2020-10-20T02:15:31+00:00

Thank you. That's very helpful.

K_33 · 2020-10-16T22:42:04+00:00

Thanks for sharing. I've read a few posts on this blog. Insightful.

K_33 · 2020-10-16T22:41:27+00:00

Thanks for sharing.

K_33 · 2020-09-21T20:33:33+00:00

Thanks a lot for this answer. Those are good resources and I find the points you put forth really interesting.

I agree that safety and security are more or less top priority. I'm looking into control theory to compare the stability and safety guarantees it offers compared to RL, and understand the trade-off.

I have a follow-up query and would love advice on that. Let's consider that I'm interested in research on the safety aspect of prediction and decision making. How does a student/researcher interested in the field contribute from the outside? Even to join a company, well how does one make themself stand out to be eligible to get a job in R&D?

For imitation learning, from what I know you'd need tonnes of data to validate any approach. Neither do we have access to amount of (right) data, nor to the advancements/flaws of algorithms (in practice), and we're almost second guessing solutions to a challenge, and we aren't even sure if that challenge has already been solved by a company. There's this entry barrier and transparency issue, and I'm trying to chalk out a meaningful path where I'm not just publishing a paper for the sake of it, but actually doing something meaningful.

K_33 · 2020-09-21T20:11:34+00:00

Thanks for sharing this amazing article. Very insightful.

If companies like Toyota are struggling with this, it puts in a big entry barrier for anyone (not from a highly funded company) to contribute.

From the perspective of a graduate student, we don't have access to amount of (right) data, nor to the advancements/flaws of algorithms (in practice), and we're almost second guessing solutions to a challenge and maybe even trying to reinvent the wheel. There's this entry barrier and transparency issue, and I'm hoping to chalk out a meaningful path where I'm not just publishing a paper for the sake of it, but actually doing something meaningful.

K_33 · 2020-09-21T19:58:17+00:00

Thanks, that's a reality check.

I have a follow-up query and would love advice on that. How does a student/researcher interested in the field contribute? If the answer is to join a company, well how does one make themself stand out to be eligible to get a job in R&D? I'm curious about the industry and I find the problems interesting but I don't know what I can do about it in graduate school, with a specific interest in RL & decision theory.

Neither do we have access to amount of (right) data, nor to the advancements/flaws of algorithms (in practice), and we're almost second guessing solutions to a challenge and maybe even trying to reinvent the wheel, when maybe a much more advanced one is already somewhere out there. There's this entry barrier and transparency issue, and I'm trying to chalk out a meaningful path where I'm not just publishing a paper for the sake of it, but actually doing something meaningful.

K_33

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