Collabware Team Project Information

[smfadmin (OP)]

The Collabware team of 3 AI's is finishing off the implementation of my "Intelligent Search Engine" -- i have almost finished adding my own AI-based Image/Video/Audio indexing/search to my forum !

So now I can search on ANYTHING in my "post's attachment database" in addition to thousands of posts using wildcards, phrases, literals (and eventually user selectable AND / OR logic preferences !) and the attachment datbase contains 1000s of stuff like  PDF documents, text files (any flat file like a program, a text file, anything simple) and soon any jpg, png, bmp etc. IMAGE, mp4 etc VIDEO and any mp3 or wav AUDIO search ! Better than Google, right ?

I have compiled a strict set of professional standards, ranging from Code Quality Enforcement checks on all code to frequent Multi-Model AI and human Checkpointing etc.

I call our virtual company "Collabware", and the Team consists of: Andrew.human (Architect & QA Lead), Claude A/B.ai (Lead Programmers, ChatGPT.ai (Systems Analyst, spec + review) and Gemini.ai (Relief Programmer and Websearcher as she uses Google-based Advanced Search Augmented Inference [what AI does when you ask it anything; it INFERES, hence the term "inference", based on its pre-trained parameters or "weights".

"I have only one commercial venture in mind - my multi-model AI chat (with context) that I am developing - to move AI away away from the current "one on one, human<->ai" model to an amazing collaboration; a proper community-based "multiple humans <-> multiple AIs" FORUM, where anything is possible where "the sum is greater than the parts" and we can actually harness the combined wisdom of any number of AI + any number of smart humans, ALL FOCUSED ON THE SAME ISSUE/PROBLEM.

This concept should be a nice earner as I'd only charge a few dollars for a monthly subscription but it involves a lot more work and money as i have to buy "tokens" (every word is about 1.3 tokens [embedded multidimensional {we are taking at least 1024 dimensions, bro !} and are all relative to eachother and the "Context" {as we do in everyday natural language; all our words have a certain value, are relative to eachother AND the subject we are talking about -- AI calls this the CONTEXT} vectors (arrays of numbers) all in memory [of the LLM or Large Language Model] and this vast array of information gets processed all at once (called "IN PARALLEL") by the LLM or "Transformer" [NB: almost all modern LLMs are Transformers — they use the Transformer architecture as their backbone] which is a network of many "layers" called a "Nueral Nerwork" (the layers are often referred to as "hidden layers" because you only directly observe the input layer (what you feed in) and the output layer (what comes out)) and as the tokens move thru it, they generate/transform {based on the static "weights" set in the pretrained or TRAINING phase that determines the nature of each MODEL} into output/REPLY tokens and one of the "best" or "most likely" tokens gets picked as the next chunk of the human WORD in its Reply to you AND THEN that token gets appended to the previous ones and the whole sequence gets fed back in the LLM to build the next token and all this keeps looping until you "magically" get a coherent reply !

The rest of our AI Assisted Engineered software is free Open-Source and will be distributed by "Simple Machines" as they provided the infrastructure or the forum software.