plingamp

Shared this in another comment, but my luggage was in a locked truck, nothing visible from the back windows. They broke in by smashing the windows, unlocking the door and using the latch to fold the back seats down to expose the trunk.

For what it's worth, everything was in a locked truck with no visible way of seeing any items.

From what I heard from others, apparently the thieves have a device that allows them to detect electronics (I had two laptops, cellphone, and a few other devices). I'm not sure how accurate this is, but i'm not sure why my car was the only one on the street that was targeted as there were no visible signs of valuables in the car (nothing visible from windows etc.) Funny part is a few weeks later nothing was found except for my Kindle which a kind citizen found and returned to me. Apparently thieves don't like to read?

My car got broken into in Oakland, California. Multiple pieces of luggage stolen (yes, my fault for leaving it in the car in the first place). Luckily I had an AirTag that showed the exact location of the stolen items. I called the police but they said they couldn't do anything. Apparently, even if I had the location the thief would have to invite them in. Regardless, I was put on a waiting list, they finally called me back 3 days later. I promptly left the state a few months later.

Sorry not related - your blog is awesome. Cool to see you here on HN!

Indian and Chinese are not languages

According to Crunchbase, Loopt raised $39.1M.

From the github issue referenced in the FAQ, I think they mean that because TensorFlow only natively supports CUDA, TensorFire may outperform TensorFlow on computers that have non Nvidia GPUs, such as the new MacBook Pro.

I may have used the term hyperparameter too loosely. Yes, this project does a good job on taking a configuration first approach, but even they set some defaults. For example, they set relu as their default layer activation function. I haven't had time to see what other such defaults are being set.