Hmm. Wave division multiplexing in TPT may be something... do note that BRAY and PHOT ctypes work the same way. Technically it's 30 wavelength (colour) "channels," but indeed 2^30 _combinations_. Once again, if you look at mine and LBPHacker's saves, you'll realize that we've very much solved the "BRAY decay problem" with solid spark + DRAY and are very much updating FILT ctypes at 60 Hz.
the wavelengths of photons can also be easily divided using glass prisms and such devices.
yes, i have heard of FILT technology before, but photons have many more wavelengths. In TPT, there are 2^32 photon wavelengths! Plus, you can add multiple photons at once in a cable, allowing a higher data transfer rate (in FILT, you have to wait for the BRAY to dissapear, but in optical computing, you can have 100 photons in a fiber cable at once!
Sir, I do hope it is not the case that you have not seen this save before, id:2004222, mind any of my own saves where I very much deal with high speed FILT electronics independent of PHOT. Solid spark and subframe BRAY already permits 60 additions to be performed in a second, an operation per frame.
Optical computing could allow more parallelism and speed, which can also be advantageous to AI for optimal performance!
sadly, light is slower than electricity in TPT, so i might need to add ACEL to accelerate the light to faster-than-electricity speeds.
i'm starting a new project (not exactly an SFPI project) that i will do in my free time. This project is to build an optoelectronic processor (not quantum though, as you can't do that in TPT!) It is a classical optical computer that will hopefully help perform computations faster than regular tpt electronics!
ai that can learn could also allow complex things like CleverBot (though not likely in TPT!)
I'm thinking of a "military bot" or "game bot" in my head. Like a tic-tac-toe bot that learns your strategies and can think of ways to counter your moves. That sounds like a fun but difficult project.
+NorthMustang We currently have 3 projects: 1. Finding ways to encode cell genomes 2. Adaptations for evolutionary cell 3. AI and neural networks. I'm mainly working on project 3 (most of my work now will be experiments that won't really be published until completion!)