Search results

Rivian develops their ADAS in serbia. Tesla develops their ADAS in the U.S., has 1200+ data labelers, 500+ AI engineers. Tesla pays $500K+ in AI engineer salaries because that's what it takes to hire competent talent Tesla pays for quality, which is why they do everything themselves Rivian...

If you take a performance tesla and swap the wheels/tires for the same combination that comes with AWD models you get the same efficiency.

EPA efficiency has a lot to do with tires. These are not comparable vehicles because the top speed of the rivian is very low. The tesla goes 155mph and uses tires rated to go that speed The cybercab is supposedly the most efficient EV ever certified but the max speed is around 85mph R2...

I'm not a bot. People underestimate how hard self driving is while at the same time underestimating how good FSD is. They just think that tesla seems to be alone in promising self driving for 10+ years The truth is while tesla is not close to consumer unsupervised, many cars it is just likely...

In order to self drive (unsupervised) you need the least amount of failures possilble. The entire U.S. needs to be mapped as accurately as possible. It reduces edge case issues with poor mapping. You need cameras that never get dirty (self cleaning) otherwise your car stops moving (minimum risk...

The only cars running unsupervised in a tesla have camera cleaning. Tesla has billions of miles of FSD and they know more than anyone the bare minimum that is needed to do unsupervised The other problem is when unsupervised is here there will be likely not many car makers left. I think the...

The idea will be that let's say Tesla has a tech that they can roll out self driving to 500K cars over the period of a year. There's a lot that has to happen for this to work. They can manufacture 500K cars a year. At that point it's easier and they are financially incentivized to just...

There's basically no chance that a car you buy today from rivian will be your last self driving car At minimum it seems like the cameras would need cleaning, and presumably the placement of the cameras on parts of the car that move like the side mirrors is a problem for both cleaning and the...

I think this is a fair comparison because tesla has those features in china.| Grok runs 100% on the cloud. There is nothing local at all. It accepts any language input. The voice assistant is totally different in china and can do much more. Also the map provider they use in china looks a lot...

Chinese vehicles have this already. Even tesla software is even better in china than it is in the U.S.

It's not running on the car. It's running at colossus the last time I asked grok something I don't know how they get it so much faster you're basically streaming live audio direct to memphis, it is interpreting the words and sending the response back in what feels like real time. I believe it...

If you ever use various voice chatbots, grok is in a different league in how fast it is. I think the other ones feel too slow when you get used to the feeling of really talking to someone I wonder what the difference is and when gemini will get to that speed

FSD style autonomy is possible on much less. The issue is the software seems to not be easy and rivian shows no evidence of getting FSD levels of autonomy any time soon. There is also the issue that if rivian needs the extra TOPS of the RAP1 hardware for whatever reason then there is less...

None of that is remotely correct. More sensors requires more memory bandwidth. More cameras means more memory bandwidth There is effectively zero evidence that having lidar/radar adds any ability to an end to end transformer based neural network system. You can see this with every chinese car...

Feed that into any AI you want and it will give you your answer Those chips are 6gb each The only speculation here is whether or not the use more in the production computer. I asked grok and it says the cost difference is $400-800 to go to 64gb. That's a lot of money You add in lidar ($250)...

He tears the chip apart. It's as simple as looking at how much memory there is. It's literally right there. 18gb Keep in mind tesla has 384 GB/s in a chip from 2022. 205GB/s is ridiculously low

The memory bandwidth was stated during autonomy day. It is very low. The memory amount was in the teardown video from jerryrigeverything Presumably memory is expensive and rivian uses cheaper memory instead of the normal GPU memory that tesla (GDDR6x) is using The new AI5 computer has...

If we learn anything from tesla than the RAP1 comptuer is not sufficient. It has 36gb of memory and about half the memory bandwidth of the HW4 computer. The tesla HW4 computer has 32gb of memory and 48gb in the rumored HW4.5 computer in cars right now. It's clear that memory/memory bandwidth...

There are many cars consumer in china with self driving solutions (Xpeng, BYD, xiaomi, Huawei ADS, etc.) and there is also Wayve which is developing an end to end neural network based solution. What all of these systems have in common is there is zero evidence (literally zero) that adding...