What protocol is it based on?

looks nice, a bit more like discord than Element for sure.

They are working on it, the leas dev is working with the lead Dev of slidge to propose a new Spaces protocol to enable “sub-channel” type functionality.

I remain convinced they have held back budget on AI because they are waiting for the bubble to burst so they can buy one of the bigger developers like Anthropic. Why burn a bunch of cash now just to loose the race when at the end of the day Open Source options might come out competitive or one of the leaders in the space can be bought out once valuations hit a reality check?

Houdini M2 over LORA is kind of a replacement.

YouTube video on it

Its a commercial product fundamentally. Looking at the company’s site its clear this is an attempt to sell their commercial/enterprise “private cloud” node hardware to the general public but they’ve botched the marketing.

Medical and Transport are their core business, and they are a software-first company that has built a hardware solution for ready drop-in of their secure private cloud server software stack. https://www.nexalta.net/blog-news/11

Looking at NAS options is how I found this, I got suggested a few NAS kickstarters, but the hardware on this one seems to be superior over all. Too bad the documentation sucks.

Makes sense to me. I have always thought that if the goal is to emulate human-level intelligence then developers should consider the human brain, which not only has multiple centers of cognition dedicated to different functional operations, but also is massively parallel with mirroring as a fundamental part of the cognitive process. Essentially LLMs are just like the language centers being forced to do the work of the entire brain.

More functional systems will develop a top level information and query routing system with many specialized sub-models, including ongoing learning and integration functions. The mirroring piece is key there, because it allows the cognitive system to keep a “stable” copy of a sub-model in place while the redundant model is modified and tested by the learning and integration models, then cross checking functions between the new and old version to set which one gains “stable version” status for the next round of integration.

Anyway, thanks for sharing.

OK, you might be on to something there.