DigiSnaxx RoadMap

Distributed Database

The goal of DigiSnaxx is to support and fortify an independent and interoperable internet; easy to connect and build, like Legos.

An aspect of that work is making the code of DigiSnaxx not simply open-source, but to make the database layer able to exist on a distribute network as well.

What this looks like as a final phase is not yet known, but the technology required to do so at scale is available today.

Phase I

Ecosystem build-up; Rebel Coding & App Developer One.

Everything gets online, and aligned; scrapers are added weekly, across three continents.

Phase II

Sustainable revenue; infrastructure to segment and reinvest revenue.

Phase III

Decentralize database using libsql.

Large-Language Models

The largest expenditure of building large-language-models is the energy expense; though this has been greatly modified by the introduction of self-hosted LLM's.

By acquiring our own land, we will be able to generate our own energy, on which to run an instance of one of these large-language models.

While the code, and methodology of our AI will be public, access to our AI will not be public. While DreamFreely may be built around technology, we will never put AI at the center of our products; AI may be utilized as public-facing assistants, and chatbots, but will never be utilized in a generative manner to create, nor to deliver, content.

Phase I

Create an instance of the ollama model, and begin testing; our initial goal is for use in comparing text for similarity, and sentiment.

We will test training methods, and assess areas of best utility.

Phase II

We will being developing an AI specifically for the DigiSnaxx application; this will not be a public-facing AI, but rather one designed to compare texts and propose associations, which will be reviewed by a human before being modified and deployed into production.

Phase III

The AI will be designed to assist in managing all things DigiSnaxx, eventually expanding to work with the DreamFreely ecosystem as a whole; helping to coordinate calendars, data, and communication across the ecosystem.