MLDevOps/Infrastructure Engineer. Looking to contribute to a /machine learning/ team's daily workflows by optimizing development environments, data pipelines, moving the compute part into the cloud where it makes sense, improving CI/CD and code quality and also contributing to the backend parts. EU, USA|CA and Canada.
First of all, LeEco’s president of R&D Liang Jun said that it is more complicated to include USB 3.1 type C than 3.5mm jack AND USB 2.0. It certainly frees up space and makes it easier to make the phone water-resistant, IP68 certified.
Secondly, I personally own a pre-USB-type-C phone and a Sony bluetooth headset with a 3.5mm jack option. I'm looking at buying a new laptop, with as many USB type C 3.1 ports, as possible. Why? Because I buy one for about 5 years, and its the future, and I'm happy that we are converging to a single laptop charger and data port. Don't get me wrong, I don't say that it hurts to have a jack as an option, but I do say that it hurts not having an USB type C port. If I got the latter, but not the first, I don't mind. Anyone can buy an adapter, the USB 3.1 supports analog audio in and out and has an audio controll interface (http://www.anandtech.com/show/10719/usbif-publishes-audio-ov...), so no functionality is lost. Of course, it is a change, and people tend to take changes quite badly. If someone is afraid of losing the adapter, just tape it to the headphones, if they are using a 12 dollar one, I'm sure it won't make worse the experience. As for quality, I'm sure audiophiles will welcome that now they have more power over the DAC. And yes, it can help a lot.
So stop whining, if you want a phone with a 3.5mm jack, buy one, there is plenty, and there will be quite a few for many years. Postpone the change, but keep it in mind when you buy your new pair of headphones.
Remote: Yes
Willing to relocate: Yes
Technologies: Docker, Kubernetes, Go, Python, C++, Linux, etc.
Resume: https://www.linkedin.com/in/tamas-gabor-barna/
Email: [email protected]
MLDevOps/Infrastructure Engineer. Looking to contribute to a /machine learning/ team's daily workflows by optimizing development environments, data pipelines, moving the compute part into the cloud where it makes sense, improving CI/CD and code quality and also contributing to the backend parts. EU, USA|CA and Canada.