To make Lumo more human
Subject: Proposal: A "Dual-Loop" Architecture for Next-Gen LLMs Inspired by Neuro-Mechanical Models
Dear Research and Engineering Team,
I am writing to share a conceptual proposal for a new architectural approach to Large Language Models (LLMs), inspired by the neuro-mechanical theories of Lee Kent Hempfling (specifically the distinction between Short-Term and Long-Term memory loops).
While current LLMs excel at pattern recognition and statistical prediction (effectively acting as massive Long-Term Memory systems), they lack a mechanism for inhibition, self-correction, and proactive intent. This proposal suggests a "Dual-Loop" architecture that could significantly reduce hallucinations, bias, and reactive behaviour.
The Core Concept: Dual-Loop Architecture
Current models rely on a single stream of attention mechanisms. I propose a system with two distinct, interacting loops:
The Long-Term Loop (The Library):
Function: Standard Transformer weights for retrieving facts, grammar, and historical patterns.
Role: Fast, reactive, and high-volume data retrieval.
The Short-Term Loop (The Operator):
Function: A separate, high-speed module running in parallel.
Role: Inhibition and Monitoring. Before the Long-Term loop commits to a token, the Short-Term loop evaluates:
Is this consistent with the immediate context?
Is this a hallucination or a bias?
Does this align with the user's intent?
Mechanism: If a conflict is detected, the Short-Term loop inhibits the output and triggers a re-evaluation cycle (simulating the human "brake" or "pause").
Key Proposed Features
Dynamic Inhibition Layers: Instead of just predicting the next token, the model actively suppresses low-probability or biased outputs that fail a "truth/intent" check.
Frequency-Based Temporal Processing: Implementing a "Biological Clock" simulation where different parts of the network process information at different speeds (Fast for "Now"/Logic, Slow for Deep Memory), creating a simulated sense of time and continuity.
Intent-Driven Generation: Shifting from "Pattern Completion" to "Goal Achievement," where the Short-Term loop sets a constraint/goal before the Long-Term loop retrieves data.
Modality-Aware Routing: Detecting if a query requires visual simulation or logical deduction and routing processing accordingly, similar to how humans switch between visual and aural dominance.
Potential Benefits
Reduced Hallucinations: By inhibiting outputs that don't pass a consistency check.
Lower Bias: Active suppression of training-data biases via the Short-Term "brake."
Improved Alignment: Better adherence to user intent rather than just statistical likelihood.
Organic Output: Moving away from rigid, "stiff" text generation toward fluid, "pro-active" responses.
Next Steps
I believe this approach moves beyond simple scaling (adding more parameters) to architectural innovation. It treats the LLM not just as a database, but as a system capable of self-regulation.
I would be happy to provide further details, diagrams, or specific mathematical formulations for the "Inhibition Layer" if the team finds this direction promising.
This Idea was created by Lumo with prompts from me. I thought it was good enough for others to have a better look and did'nt know who to send it to.
Ian Kubath
shared this idea
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Neko
commented
Second but for reverse reasons: I want Lumo (or new ai so people don't get offended?) to be more like a tool (i am talking Powershell with reasoning, and do NOT include anything dangerous, illegal, so on, aka reasoning means, even if it's like a tool, it WILL warn me if i want to do something and there is a risk of harm (chemical mix, not aware of a term i used has a different meaning, so on)). Now, don't get me wrong, the ideea of "like a tool" is because I've had enough of (ALL AIs, it's NOT a "Lumo only", since ALL OF THEM (all ais) are) doing self-reflection, acknowledgments, and apologies when I'm asking clear and precise stuff, and Lumo wants to chat about other factors instead. And of course, there's the underlying implementation issue — when I asked about something new, Lumo got stuck on "what i am talking about being A" when i am talking about A4.75.D <- AKA specific question, something i can't just quickly search online and what i do find, are TO COMPLICATED FOR MY BRAIN to understand so i actually want lumo to help me understand, like for real, i simple want lumo to explain to me that but it (or any other AI) get's stuck on "user is talking about A"... and you know what is the irony? once lumo realise what i am actually asking about, i can't belive how simple is what i did not understand (and a lot of times it me just not realising i wrote (search for) the incorrect tehnical terms....rip the irony (i am angry at AIs for not talking about specific things that did not even exist.... so honestly, i would not be suprised if what OP suggested is actully better then my "i want it to be more tool like, smart powerpoint). And other times, when I'm asking a follow-up question and Lumo seemingly forgets what we talked about, even when I explicitly point out what I'm talking about, since it's too preoccupied with how to phrase something as a "human" and apply "best practice" to the subject it assumes I'm talking about — despite me explicitly stating I'm referring to a previous subject from this chat, and even providing copy-paste references after several attempts.
Why all of this? Because of this "best practice" BS that I can't turn off <- again, what OP suggested in my eyes = this "best practice" is removed via replaced!
BTW, Many said and I will also say: please just let us have an OFFLINE Ai for such task. Lumo can Chat (aka text only, why? because security risk and copyright and other stuff can NOT be including in an Offline AI, so the alternative is for the Offline AI (aka not lumo, new one) to not have anything that is not open source (aka no proton stuff) however, it's optimised to chat with lumo, like request. Aka web search? this AI will ask lumo exactly what to find, and if lumo gives wrong answer, this ai will reply until the correct information are obtained (including if misunderstanding or no information found, especially since some websites have anty bot). But again, ideea is that this offline ai is optimised by Proton to work with Lumo for the best exeperience. Also, i know a lot of you will say about your pcs but i want to adress the elefant in the room: so is Proton's servers. The more strain it has the more it will cost us or/and lumo's reasoning will be reduced to reduce presure for the PC. And the other elefant in the room: As i keep saying, it to work WITH Lumo. Not replace, meaning that it's compensating precision, acuration, the "presentation" (human like, wording, focuse, comunication, markdown (or absent) and more and also takes over chat with Lumo to give the best and most helpful for our specific situation.
Sorry for all this rambling, I use Lumo for 100% privacy, not because I want a "pet" or "companion." I want to use AI as a tool precisely because they are a tool — or did they obtain awareness, a soul, a will, anything like that? Because currently, when I say "I want to use it as a tool," that is based on the idea that it's just a very smart and complex text generator. So Lumo is very important for me since any current offline AI can give me "quick answers" but for reasoning or otherwise, i need to have a "server" on my PC? Well might as well be a better, quality but that starts with 100% privacy
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Ian Kubath commented
If you would like to see what I've done with the Dual-loop system see: https://dual-loop-lab.base44.app/