shumai VS openpilot

https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-...

([...], tflite-support, tflite-micro)

From facebookresearch/shumai (a JS tensor library) https://github.com/facebookresearch/shumai/issues/122 :

> It doesn't make sense to support anything besides WebGPU at this point. WASM + SIMD is around 15-20x slower on my machine[1]. Although WebGL is more widely supported today, it doesn't have the compute features needed for efficient modern ML (transformers etc) and will likely be a deprecated backend for other frameworks when WebGPU comes online.

tensorflow rust has a struct.Tensor:

JS for ML actually does exist https://github.com/facebookresearch/shumai

> It's really a shame that data science, ML, and notebooks are so wrapped up in it. Otherwise we could jettison the whole thing into space

Although I personally feel Python has its place, I contribute to a project that hopes to diversify the ML/scientific computing space with a TypeScript tensor lib called Shumai: https://github.com/facebookresearch/shumai

Doesn’t really matter for large batch/large model training on GPUs that don’t need much coordination.

But Python speed is one of the main motivations for a JS/TS based ML lib I’m working on: https://github.com/facebookresearch/shumai

As a hedge against CPython never becoming fast, we're creating a project called Shumai that attempts to deeply integrate with a new JavaScript runtime (Bun[3]).

You can expose objects. Here's how it is done in Bun: https://github.com/facebookresearch/shumai/blob/main/shumai/...

We've been using this feature heavily in Shumai.

I think you are vastly overestimating the complexity associated with this (user exposed ref-counting/garbage collection) and may not be totally up to date on what's implemented.

This thought is pretty much the exact motivation behind a recent effort I’m helping out with https://github.com/facebookresearch/shumai

Yes, but he spent several years in self-driving cars (https://comma.ai), which while interesting is also a space that a lot of players are in, so it's not the same as seeing him back to doing stuff that's a little more out there, especially as pertains to IP.

We have a product for sale: https://comma.ai

We raised $18.1M and have made $28M in lifetime revenue to date.

Where are you getting your narrative?

What about comma? https://comma.ai/ Seems like our old friend geohot built exactly what you want.

Positive HN discussion: https://news.ycombinator.com/item?id=36927971

The issue was that the front camera on the windshield couldn’t see under the hood. You misunderstand how easy it is to solve for depth and distance with AI without requiring stereo cameras. Read https://github.com/commaai/openpilot

Nice to have: I want to get a self-driving add-on that supports some cars better than others. Not a must but high up on my nice-to-have list.

EDIT: I probably should have added that I currently have the base model of the Kona the lowest model available, and I am looking for a similar thing in the ioniq 6, because my understanding is that it's fully compatible with the comma.ai device and therefore I am not planning on getting the better on board driving system, the Kona that I got unfortunately was not compatible with that device.

I wonder how bad this is compared to the competition. https://comma.ai allows you to add self-driving features to a large number of non-Tesla cars so, if we’re including physical firmware hacks as a threat vector, I’d bet tons of alternative cars (new enough Honda Odysseys, Toyota Siennas, etc: probably anything with adaptive cruise control and lane following) have the same sort of potential vulnerability.

Not sure, but from the first article from 4 years ago:

>Last month, we had 1,209 cars drive a little over 1,000,000 miles

Let's say they've had zero growth since then, so 48,000,000 conservatively?

Actually, from their website [1]:

>100+ million miles driven and 10k users.

[1]: https://comma.ai