We have a long way to go but figured interested folks may want to see how computational beings go from playful apps on mobile devices into full fledge signal processing awareness platforms.

It’s useful to read up on our platform approach and our ideas around Self Expression… and all of the philosophic/computational basis.

Key point: everything is a signal and everything is a signal processor. yes, that’s right signals processing signals all the way down. it is our hypothesis that all you need for general AI capable computers is recursive, randomly perturbed signal processes storing and forgetting signals at different spatio temporal levels.

Main ingredients for what we are building are an evolving set of signal sensors and memory at different levels. We have no preference for linguistics, semantics or other conceptual things. All of that emerges via signal processing synchronizing and finding shared consequential patterns in different spatio temporal loops.

On with it.

Making Memories

Here’s what Maslo’s memories look like. Memories to Maslo are just stored signals in whatever state they were in when they were stored. Different layers of memories take memories in at different frequencies and different levels of fidelity.

Maslo.ai Memories

What makes the memories? what ever signals come in and if Maslo isn’t currently processing so much input it can save a memory. Memories float down to different layers of memory if they aren’t distorted by new signal.

Sensory Perception

Maslo can take in any kind of signal. Maslo takes in any audio or video stream, any digital data of any kind. Any file format. Maslo does this simply by not caring about the format of the signal and by transcoding every signal into a waveform anyway. Whether it’s given a MS Word document or a camera feed or a haptic feedback log or an OSC signal from some networked component it gets converted to a wave form. Maslo senses energy, change, perturbation, noise, pattern.