>How do you reasonably do this? You would have to spend an incredible amount of effort creating fake data everywhere, without having any clue if what you're doing is even working. With new AI tools and technologies
No, I'm pointing out how you misunderstood their comment as an attack on all Chinese industry, when it was criticism of specific firms in a specific sector.
I initially came across this book due to a Reddit post about the author being a failed child prodigy. My first thought on seeing the table of contents was "damn, this book sounds racist". But it's actually a series of historical accounts in support of Native Americans and their history.
I am very curious about this, because my understanding was that any EV would fare better in wet conditions than most ICE vehicles, because the battery has so much insulation around it.
When I first got my EV, I was worried about how it would fare in the rain, especially when driving over large puddles. After reading about the insulation, I felt comfortable driving it in extremely wet conditions.
Now I'm worried that I may have to rethink that. Am I supposed to be worried about splash getting into the pack, staying there, and slowly ruining the battery? If I keep driving long enough, will motion plus the heat of the battery pack be enough to dissipate the moisture? Since I live in an extremely humid location, is that a concern too?
I've seen footage of Model 3s operating in flood zones, with the rear wheels essentially serving as propellers. Of course, I've never seen the results of what happened afterwards. Presumably the water got into the batteries, and the car would no longer start.
In that case, the driving-through-water functionality would mainly be for an emergency where the only other option is a complete loss of the vehicle, and/or something more valuable than the batteries, whether its a life or possessions.
I didn't think about that until now, because my previous assumption was that it was fine to drive an EV over water. I thought that the the only exposure that the batteries had to the outside world was through the charge port and the engine, and everything else was protected by insulation. But I didn't think about what the insulation actually was. I imagined it as some sort of metal or plastic shell.
edit: I hadn't seen this video before, but I know there's at least one other tweet Elon made where he doesn't disapprove of something that, as I now understand, is probably going to render the vehicle inoperable in the near future due the battery pack failing after exposure to water:
>It’s comfortable enough for Lewis, who is 5 foot 9. (Lewis jokes that I should report that he’s an inch taller so that he can boast about it on the dating apps. I do not oblige.)
I think something got lost in translation here. In SF online dating app culture, 5'10 is the minimum "not short" height. Note that it's specifically not considered "tall". Why 5'10? I don't know. How do I know this? Way too many overheard conversations with coworkers, housemates, and countless acquaintances of the above over the past eight years of living here as a tech worker. The result is lots of men rounding 2-3 inches up to reach 5'10. I hesitate to call it lying, because there's a reality distortion field that results from enough people doing it. Lots of people are convinced that they or their partners are actually a taller height. I can't find it at the moment, but I saw a post a while ago about how this becomes a real problem for things like ski rentals, where inches in height difference actually matter.
Then 5'10-5'11 guys who previously wouldn't have rounded up to 6' are forced into doing so, because the expectation is that a guy who puts 5'10 is shorter than he really is. Then the 6' guys have to put 6'2 for the same reason. At 6'2 it doesn't matter anymore, since it's officially tall. Yes, this is really dumb. But the point is that it's not about "boasting", which sounds silly.
You realize that this is how valuations for publicly-traded companies are calculated, right? Also the networths of people whose vast majority of wealth is tied to publicly-traded shares.
My annual comp increases at FAANG are not 20%, but they have been consistent increases of roughly $45,000 a year, for little effort. I suppose it is a trap, but I am still content.
The 38th parallel was originally drawn up based on Soviet troops invading Japan-controlled Korea from the North, and US troops invading from the South.
5-star, less than 100 reviews: probably paid for reviews. I've never been to a "bad" place in this category, but I usually avoid it unless it's the most appealing option, so my sample size is small
4+ star, 1000+ reviews: definitely not bad. i would rate every place ive been to in this category as good or excellent, although some are overpriced. all of my favorite places in the bay area fall between 4.0 and 4.5
3.5 star, 100+ reviews: possibly good, probably not bad. ill check reviews, if people are primarily complaining about service and not food, it's probably good. i never pick 3.5 places if it's somewhere i've never been before, but i won't veto one if someone else suggests it
3.5 star, less than 100 reviews: i avoid these completely. i've still never been to one
less than 3.5 stars, any number reviews: i also avoid these completely
I'm not sure what the point of your post is. While bloom filters are heavily used in actual production code throughout the industry, it is very rare for anyone to need to code their own, or make changes to a prior legacy implementation.
Not all educational programs will cover bloom filters, and for those that do, there's no guarantee that the students will retain the information, and be able to recall it.
I don't know of any common interview question patterns where a bloom filter would be the only optimal solution. If it does share optimality with any other data structures, you would be better off choosing something else unless you are extremely confident in your ability to implement one and explain it clearly and in-depth, since the odds of your interviewer not being familiar with them are high in comparison to other solutions.
I only know what a bloom filter is because of HN, and previous submissions like this one that have made it to the front page throughout the years. It's nowhere near as common knowledge as tries, especially if you are sampling younger cohorts.
I wouldn't consider tries to be obscure tbh. They are the recommended solution for many leetcode-style interview problems involving string searching. I think anyone who has done serious interview prep has encountered them.