Torq_boi

3 ms·

1. 1.▲
   by Torq_boi 8mo ago

   Our preference for training in our own datacenter has nothing to do with wokeness. Did you read the blog post? The reasons are clearly explained. The climate in Wyoming and Montana are actually worse in terms of climate. San Diego's cl
2. 2.▲
   by Torq_boi 8mo ago

   Yes, it's easy to destroy the servers with a lot of dust and/or high humidity. But with filtering and ensuring humidity never exceeds 45% we've had pretty good results.
3. 3.▲
   by Torq_boi 8mo ago

   Yes, we still use the azure for user-facing services and the website. They don't need GPUs and don't need expensive resources, so it's not as worth it to bring those in-house. We also rely on github. It has historically been
4. 4.▲
   by Torq_boi 8mo ago

   We actually do have an in-house chef lol.
5. 5.▲
   Don't rent the cloud, own instead(blog.comma.ai)

   1222 points by Torq_boi 8mo ago|497 comments
6. 6.▲
   by Torq_boi 6y ago

   The models are now saved in ONNX format. Which is the most readable format available. You can view the architecture of the model with a basic neural network viewer. Again, I'm curious what you want to learn from the training code? Chen
7. 7.▲
   by Torq_boi 6y ago

   When you say not everything is open source. I assume you mean the training code is not open source? I'm curious what you would want to learn from that? You wouldn't be able to actually train a model since you wouldn't have ac