seek3r

Finally!

I’m good with the Apple’s privacy-oriented stance. But I can’t stop to think what will happen when advertisers knock on Apple’s door trying to get their hands on the users’ data that one else can access. Is Apple going to sell it out for more profits?

“The “flaw” we’re going to talk about isn’t a problem with any specific benchmark or reviewer. It’s a difference in how the Apple M1 allocates and assigns resources versus how x86 CPUs work.”

Although the language she used in the email may not be what’s expected by a manager, I choose to be sympathetic.

Obviously, this is a person which is very passionate about her research. She’s also a Black woman; given US history, there’s a probability that she was discriminated against during her life — maybe, multiple times. If not her, maybe some of her relatives were. Sure, this is hypothetical and does not excuse her attitude — but try to put yourself in her shoes.

It’s easy for us to reason about it, and think about how we would have dealt with it differently. Maybe she was in a bad place, or felt that she was being discriminated against.

She’s also a human being like me and you so — yes — maybe it’s not about racism and discrimination. Maybe she’s just entitled.

Either way, Google’s HR should’ve done better. It’s easy to let anger or exasperation get the hang of you. They should’ve scheduled a call to discuss everything calmly.

It’s almost 2021.

Is it still ok to post Medium articles?

Kudos to DeepMind. I’m eager to read their paper.

You can’t run Docker for Mac. You need to use Docker Machine and connect to a Raspberry Pi or some other hardware that is able to run Docker.

I did a quick Google search (so maybe I’m missing something) but there is no official support for converting Core ML — which is the foundation for Create ML — models to Tensorflow or PyTorch. You need to look for third-party libraries. Although there exist libraries to convert Tensorflow models to Core ML.

The article is not explicit about it but I think they’re using transfer learning. They take a general model trained, for instance, on ImageNet and use it to train a more specialised model to classify whatever you want. The training of the specialised model is way faster than the training of the general model.

I’m fine with my iPhone and iPad, but my MacBook Pro is a PITA. I own a MBP 13” 2018 with 8GB of RAM. For starters:

1. Windows 10 via Bootcamp boot faster than macOS — on an Apple machine.

2. What’s wrong with a tiling manager? Why I need a third-party app to organise windows?

3. I saw in another HN post that an Apple engineer was patting themselves on the back for the memory mama garment. Then, why the hell at login macOS uses more RAM than Windows?

4. I can’t use Docker for Mac. The same dev environment with Docker and WSL2 on Windows 10 via Bootcamp works fine. I mean, it still sucks because of the limited RAM, but it’s fine. On macOS it’s way slower, and the fans go crazy.

The hardware — except for the keyboard and the Touch Bar - is fine. The touchpad is great, the screen is fantastic. But Apple needs to work on the operating system; just don’t touch the shortcuts. Those are fine.

Why is this getting downvoted?

Right...