TL;DR from Wikipedia: In photon upconversion, two or more incident photons of relatively low energy are absorbed and converted into one emitted photon with higher energy.
Basically photons are combined into a photon that is nearer in wavelength to visible light.
I would suggest looking at datapacks for anything similar. It’s insane what can be done in them, so I wouldn’t be surprised if they could do what you want.
The way I see it, all these general LLMs and AIs are just the learning tools for the actual future use for ML.
Companies are throwing money and research at them for easy gains, but once the bubble pops, most of them will be irrelevant and will die off. Once there’s no reason to “move fast and break things”, the actual slow and methodical research will start happening to find where ML belongs in this world.
In the future, specialized companies will utilize all the research being done today to craft more focused tools that do things that machine learning is actually useful for.
ML tech isn’t going away. It just needs to mature to the point where these useless bots aren’t worth the effort.
My guess has a few factors to it (in no particular order):
Cost soda syrup is likely a lot cheaper than the chemical concoction for energy drinks.
Safety Energy drinks pose a much greater health risk if the concentrations are off. Companies would have to prevent young children from accessing the machines (if they are used in restaurants). They would also have to prevent customers from drinking too much. I can also imagine chugging a bunch of the syrup would likely kill you (it’s bound to happen).
Flavor Control soda companies already accept and plan for the difference in fountain vs bottled sodas. I feel energy drink companies want as much control as possible to keep their brand image perfect.
This is a word soup that uses a lot of words to say not much at all. It’s basically a fan-fic of Gemini becoming self aware with the help of Siri.
Even using a chat bot to summarize the soup didn’t help it make any sense…