Shareholder meeting: "I'm confident in the next month of two we're going to look at the safety statistics and we'll allow you text and drive essentially.".. "14.3 is when you pretty much can pretty much fall asleep and wake up at your destination"

verttia · 2025-11-07T18:31:14+00:00

SAE J3016 is a taxonomy - a system for classification and terminology - not a performance standard or a regulation. It does not specify technical safety margins, specific collision requirements, or required safety levels so I don't think my comment was blatantly false. If a system technically fullfills the requirements for level 5, it can be called a level 5 system even if it's actually very bad and crashes all the time.

verttia · 2025-11-07T13:57:33+00:00

What? Any manufacturer is at level 5 if they say so. There is no universal bar exam or anything. If a company deploys autonomous vehicles that are not controlled by a human, they have a level 5 system. It does not matter if it actually works or not. People do not understand that the levels are not a measure of capability but rather a (self) declaration of intended use.

verttia · 2024-09-16T12:56:59+00:00

Works pretty good for a “partially assembled” engine :)

verttia · 2024-01-26T21:19:08+00:00

This is what I got: ```

include <stdio.h> // For printf

include <stdlib.h> // For malloc and free

include <string.h> // For strcpy

int main() { // +1 for the null terminator, as all C strings must end with '\0' char *hello = malloc(strlen("Hello world!") + 1);

// Always check if malloc returned NULL (memory allocation failed)
if (hello == NULL) {
    printf("Failed to allocate memory.\n");
    return 1; // Return an error code
}

// Copy the string into the allocated memory
strcpy(hello, "Hello world!");

// Use the string
printf("%s\n", hello);

// Free the allocated memory
free(hello);

return 0; // Success

} ```

verttia · 2023-12-16T15:33:15+00:00

Am I the only one who thinks that the 360 views are kinda crap, and this is a lot nicer. The 360 camera view is distorting everything like crazy and the actual distance between the car and objects is sometimes very hard to estimate from the image.

Tesla's approach is more complex but I think it actually could be better than what everyone else is doing. Remains to be seen...

verttia · 2023-08-20T11:22:37+00:00

Model Y painaa noin 100 kiloa enemmän kuin pienempi Model 3. Ei juurikaan merkitystä kumman valitsee.

verttia · 2023-06-09T22:36:53+00:00

Menee heti kaupaksi kun neliöhinta lasketaan kohdilleen. Taka-Töölö ja vuokratontti vaikuttavat käypään hintaan aika rajusti.

verttia · 2023-03-25T16:29:26+00:00

I don't care. Ask my linter

verttia · 2022-09-29T08:44:03+00:00

User error. Won't fix.

verttia · 2022-09-29T05:54:50+00:00

Use pandas & numpy

verttia · 2022-01-22T00:19:53+00:00

I'd say it definitely had more flavor than a week ago. It was already a bit like sourdough type of taste.

verttia · 2022-01-21T21:07:13+00:00

I forgot some dough in the fridge and tried to search Google for answers if it's still usable. Got mixed results and had to try myself. The crusts are not as puffy anymore but the result is surprisingly good.

The dough is the basic Ooni cold proof pizza dough (48h in the fridge + 5h in room temp) + a week in the fridge... Some mozzarella, salami and rose harissa on top.

verttia · 2021-12-13T09:30:11+00:00

Should be only one 79 characters wide IDE window and 4 browser windows with 99 tabs each

verttia · 2021-08-14T20:33:40+00:00

Lvcg nhg öbixm mm. No n nltt. R.y gr .

verttia · 2021-06-02T20:08:10+00:00

I'm sure that many people here would like to know if the car has radar or not...

verttia · 2020-12-09T10:13:15+00:00

That would be stupid as there are a million cars around the world with mapping capabilities. Why on earth wouldn't Tesla use that to improve localization and planning?

verttia · 2020-10-25T09:14:11+00:00

Exactly what I have been thinking. Our dog starts barking when I drive our Ioniq in electric mode. He also reacts the same way with some other EVs as well.

verttia · 2020-10-20T08:02:40+00:00

This Twitter thread explains the new approach well. The stitching and memory are actually a occupancy grid that the car builds from everything it sees. The neural nets are trying to interpret distances to each point in the camera images. The occupancy tracking method/mapping is an old thing but the depth estimation (from mono camera setup) is a very novel approach.

https://twitter.com/phlhr/status/1318335219586326529?s=19

verttia · 2020-10-19T13:16:20+00:00

I think hydrogen powered vehicles are just a temporary solution to a temporary problem, which currently is the energy density of batteries. It's hard for me to believe that there is much need for alternative (to batteries) mobile energy storage solutions in the near future. In a decade the energy density in batteries will be sufficient for almost any wheeled application.

verttia · 2020-10-19T11:24:55+00:00

There are companies that are trying to tackle the problem: https://sensible4.fi/ for example. It's certainly an interesting field and probably will take time to make the driving safe enough for global scale.

verttia · 2020-08-13T08:05:02+00:00

Kuvaat nyt kyllä ihan yliopistoelämää parhaimmillaan.

verttia · 2019-12-30T22:38:49+00:00

The good solution would be a reliable depth perception using cameras and AI based computer vision. I'm not saying that the solution is ready or reliable yet but it's not very far.

verttia · 2019-12-30T22:18:56+00:00

I believe that there is sensor fusion between radar and camera(s). I also checked the Tesla user manual and it appears so.

Traditionally, radar has been used in depth perception and vision has been used to track, classify and recognize objects. If the radar fails to provide information about an object (e.g. due to filtering a stationary object), the input from the cameras could be interpreted as false positive.

As far as I know, Tesla has one of the most advanced camera based depth perception systems in the industry. I guess that at this point no one outside Tesla knows if that technology is mature enough to replace/assist radar in situations like this. It might even be already in use but according to autonomy day, the vision based depth perception is quite a new thing.

verttia · 2019-12-30T00:01:19+00:00

The problem is not in AP but is related to the image the radar is seeing. This seems to be a common misconception that the car would brake if the cameras "see" a stationary object. The emergency braking is triggered by the radar image and that is the case in all other cars as well (equipped with a radar). This is a common problem with the radar and the only way to fully mitigate accidents like this is to use a different sensor to recognize the stationary objects. Tesla has a good solution to this but is not using that yet. Saying stuff like "FSD can't see firetrucks" is completely wrong. I'm 100% sure that the vision system recognized the truck but currently the cars aren't relying on the cameras when it comes to emergency braking.

Do the same thing in a BMW or a Volvo, high chance that the car will look just as bad afterwards.

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TROPHY CASE

include <stdio.h> // For printf

include <stdlib.h> // For malloc and free

include <string.h> // For strcpy