I don't get why we talk about using complex numbers when doing quantum physics. What's really important is that we use numbers from an algebraically closed field (complex numbers being just a simple example). This makes it clearer what's happening under the hood.
Well, actually... The LTS kernel with longest support before 6.15 is 6.1. It will be supported until December 2027 [1] which is a few months over 20 years after the last 486 CPU [2].
In the broadest sense Android and IOS are similar to browsers: All are platforms that execute code given in a certain format and have APIs for interacting with the device.
(The browser is different in that it doesn't need a separate download to acquire the code and makes partial code downloads easy. And from search to opening an app is a single click and very quick.)
Just thinking through this now, but the ease of authoring content on the web started very early on, whereas publishing new mobile apps on the dominant platforms is highly technical and exclusionary many years in.
Web - available in 1993, content authoring/hosting become available through blogger, wordpress, etc, in about 7-10 years. Authoring tools Frontpage and ColdFusion were available in 1995, Netscape Composer in 1997. In other words, one could build a basic website with a bare minimum of technical knowledge with the help of widely available tools within 5 years of the web becoming available (it would take many more years for the web to become pervasive).
Mobile - It has been 17 years since the iphone was launched, 19 years since Google acquired Android. To my knowledge, there are no easy ways for a non-technical person to author a basic app, let alone one that runs on both platforms.
Quantum computers deserve to be mentioned in discussions about analog computers. Under the assumption that nature is quantum at its core it follows that every analog computer could instead by replaced by a quantum computer running a suitable algorithm.
This connection opens doors for research in both directions, how to design quantum algorithms and how to built physical computing systems that make use of quantum mechanics.
Why not load the minimal required content for it to look right first (e. g. thumbnail, video controls) and load everything else once the rest of the page has been loaded (e. g. buffer the first few seconds of the video), somewhat similar to hydration?
I suspect that’s what they do already. The trouble is that it’s heavyweight speculative execution that often doesn’t pay off, but it wastes resources anyway.
That is a lot of text for not determining why the new solution is faster. The only relevant part:
> Before our migration, the old pipeline utilized a C library accessed through a Python service, which buffered and bundled data. This was really the critical aspect that was causing our latency.
How much speed up would there have been if they moved to a Rust wrapper around the same C library?
Using something other than Python is almost always going to be faster. This Reddit post does not give any insights into which aspects of Python lead to small/large performance hits. They show that it was the right solution for them with ample documentation which is great, but they don't provide any generalizable information.
On the framework discord it is speculated that it is most likely from the Lenovo Thinkbook 13x Gen 4 [1] [2]. Would fit in terms of specs, rounded corners etc.
