A bit different from your example, but a small group of us started a "Bill of Models" project for our department. We spent too much time failing to manage complexity with fancy tools. We ended up writing our own simple tool for reading custom BOMs to create and manage simulations.
At first we just created some "Bill Of Models" to define systems and simulations. Slowly we've expanded the scope. Each BOM contains a system definition, components, subcomponents, interfaces, and some metadata. There's pointers to different repositories, parameter databases, and scripts to configure runtime environments. We have a small tool that reads BOMs and instantiates them as full simulations.
When someone wants to test a new system variant, they can usually just modify an existing BOM. If they have a new feature, BOMs give them an easy way to see and create every variant simulation to work with. We had to do a lot of standardization of our models, but that helped our efforts to move toward fully automated tests and CI/CD. We now have a web-based catalog of models and BOMs that are automatically generated, run, and tested. All of this has also helped get new people to use simulations for their work.
At this point, our group is actively pushing back on SysML, at least for our roles. Each group's system(s) has a well defined interface to the whole, and everything else is decided within the team. We've found SysML mostly just duplicated work for us. Our software is already written in Simulink so we just build models of our system in that, too. We don't get much value from SysML, and whenever someone else tries to use SysML (like an architecture team) they don't know enough of the details our system.
I don't claim to know much about this stuff, but that's been our experience. The speed and flexibility of our engineers has vastly improved. We've started catching integration issues months in advance, when they are still easily fixable.
Virtually trying on clothes would be cool but I don't think there's any way you could get actual tailoring, but maybe adding a few intermediate sizes from the standard s m l?
My prediction for fashion change would be more towards ideas like NTWRK. I hate the false scarcity 'drops' trend, but doing a cool digital launch experience is fun and chunking out a season like Jacquemus seems to build anticipation.
https://qz.com/quartzy/1539036/the-zozosuit-has-been-an-expe...
Personally I don't get the appeal. Seems to me like those who want to actually try on clothes want the tactile feel which you can't get virtually. Versus shoppers like me I just can see from images online what I like and read the fabric, especially a designer I enjoy I already know what the quality is.
Everything can stay under the control of the designer, including 2FA of the end-user, the degree of fidelity of the rendering, rate limits for requests, timed release to selected partners, etc, etc.
DNS? Not sure how that's relavent. And furthermore why would a crack down lead to more popularity?
> A qubit will travel around the world without decohering and increase attention on quantum internet investments
Well that would be good for researchers, there are basically 0 applications so i'm not sure why it would generate imvestment excitement (who needs QKD when you have public-key crypto?)
Quantum internet is different than QKD. The best analogy I can give is its like the difference between Morse code and the internet. Things like quantum teleportation, superdense coding and distributed quantum computing through a quantum internet will be revolutionary.
Why?
> quantum teleportation
What is the practical near term (next 10 years) applications? I can't think of any.
> superdense coding
Somewhat better compression is hardly a killer app, especially given the costs imvolved.
> distributed quantum computing
Need actual quantum computers before you can have that (definitely more than 10 years away imo). I'm also a bit unclear as to how applicable quantum algorithms are to parallelization in distributed machines.
New law enforcement techniques using DNS and other Intel techniques will be used to track, seize and tax cryptocurrency - which will cause increased popularity of Ethereum.
A qubit will travel around the world without decohering and increase attention on quantum internet investments. GPT4 and other ML models (maybe even with a neuro-feedback loop) will radically change entertainment for Gaming, movies, books, and music.
Smart Cities will start emerging ( and some cities which will ban the technology) with ML models and Intel systems capable of identifying all kinds of hazards (fires), threats (terrorists) and crime at scale.
A new “shadow net” will emerge from new mesh-networking protocols and massive amounts of compromised IoT devices- allowing users to bypass core internet routers and ISPs with the “shadow net”
XR with depth field scanning and smart tailoring with drastically change the fashion industry ( shoes and clothes). So people can virtually try on clothes and order perfectly tailored clothes from their home.