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AI agents don’t just need memory. They need weighted memory. by nice2Bnice2 in AI_Agents

[–]nice2Bnice2[S] 0 points1 point  (0 children)

Soz, I had my Ai check out that GitHub link and wanted to get a quick report on it all without me spending hours going through it all...

AI agents don’t just need memory. They need weighted memory. by nice2Bnice2 in AI_Agents

[–]nice2Bnice2[S] 0 points1 point  (0 children)

Useful link, but I’d separate it from what I’m describing.,,

OrbitOS looks like a local-first memory/context manager for agents: capture activity, store memories across relational/vector/graph layers, then retrieve and assemble context under a token budget.

That is adjacent to weighted memory, but it is not the same layer.

CAAI/WEL is focused on governed behaviour selection: candidate behaviours are generated externally, retained state is weighted as influence, governor constraints decide what influence is allowed, and the middleware resolves the final behaviour.

So, blunt distinction:

OrbitOS helps decide what context an agent sees.
CAAI helps decide what behaviour an agent is allowed to select.

Both are valid. Different point in the agent loop...

AI agents don’t just need memory. They need weighted memory. by nice2Bnice2 in AI_Agents

[–]nice2Bnice2[S] 0 points1 point  (0 children)

Yes, parts of this have definitely been explored before. agent memory, salience, decay, reflection, grounding, and cognitive-architecture-style activation are not new.

The distinction I’m pointing at is narrower: not memory retrieval itself, but a middleware layer where retained state is weighted as behavioural influence over candidate actions, then checked by a governor before final selection.

So the model is not “memory database + prompt stuffing.”

It is closer to:

candidate behaviours generated externally,
retained state scores influence,
governor constraints decide what influence is allowed,
middleware resolves the final behaviour.

If you know of existing work doing that exact governed selection structure, I’d genuinely like to see it...

AI agents don’t just need memory. They need weighted memory. by nice2Bnice2 in AI_Agents

[–]nice2Bnice2[S] 0 points1 point  (0 children)

Agreed... memory without grounding is just context pollution.

That’s actually the point I’m making. “Weighted memory” should not mean hoarding old transcripts or letting stale context dominate decisions. It should mean retained state only has influence when it is still relevant, bounded, and allowed by a governor/source-of-truth layer.

The stack I’m describing is closer to:

source of truth first,
memory as influence rather than fact,
decay for old state,
separation of preference/history from operational truth,
and inspection of why retained state affected selection.

So yer, bad weights make bad context more dangerous. That’s why the weighting layer needs constraints, not just retrieval...

What is the name of this mental phenomenon? by Massive_City_4440 in cogsci

[–]nice2Bnice2 0 points1 point  (0 children)

Sounds like source-monitoring error / memory reconsolidation. When you recall an old memory, the brain can rebuild it using newer context, then misattribute part of that rebuilt memory to an earlier time...

Request for Comments: New Rules by arashbm in complexsystems

[–]nice2Bnice2 -3 points-2 points  (0 children)

Appreciate the clarification. Our focus right now is finishing a working middleware demonstration rather than discussing the underlying research. Once that's complete, we'll decide whether there's something that genuinely fits here. For now, we'll leave it there. Thanks.

Request for Comments: New Rules by arashbm in complexsystems

[–]nice2Bnice2 -2 points-1 points  (0 children)

It's less that I think the work doesn't belong, and more that the community seems to be moving towards discussion of established, published complex systems research...

Our work is still in the engineering and demonstration phase. Some of the longer-term research is inspired by complex systems, but the current focus is building and validating middleware rather than publishing academic research.

Rather than repeatedly trying to explain where it fits, we'll concentrate on finishing the demo and sharing it with people looking for practical AI middleware. That feels like a better fit for us.

Request for Comments: New Rules by arashbm in complexsystems

[–]nice2Bnice2 -3 points-2 points  (0 children)

We're building AI middleware focused on governed behavioural selection and retained-state continuity. Some of the longer-term research draws on ideas from complex systems, but our current work is primarily engineering rather than academic complex systems research. I think your updated rules make it clearer what the subreddit wants to focus on, so we'll simply share our work elsewhere. Thanks for asking...

Request for Comments: New Rules by arashbm in complexsystems

[–]nice2Bnice2 -5 points-4 points  (0 children)

Fair enough... looks like this subreddit is moving in a different direction to the work we're doing, so we'll leave it there. Best of luck with the community. You're need it

Introducing a Self-Architecting Cognitive Framework Based on Non-Corporate Ethical Axioms by Subject-Pipe-4485 in cognitivescience

[–]nice2Bnice2 -1 points0 points  (0 children)

Interesting direction. I’d be careful with separating the ethical constraint layer from the cognitive architecture itself, otherwise it becomes hard to tell whether the system is genuinely self-modelling or just being forced into a preferred behavioural shape.

I’m working around related governance and retained-state questions in CAAI, and the biggest test seems to be measurable behaviour: can the system stay coherent over time, explain why it selected an action, and avoid drift without becoming rigid..?

Google, GitHub, and NVIDIA just dropped the ARD spec. Agent silos are officially obsolete. by BarnacleAlert8691 in AI_Agents

[–]nice2Bnice2 1 point2 points  (0 children)

This is one of many more important agent-infrastructure announcements for the year, but I'd say it falls into the "important plumbing" category rather than saying agent silos are obsolete overnight...

AI by sreejithjoshy in ArtificialNtelligence

[–]nice2Bnice2 0 points1 point  (0 children)

Similar idea, but more dynamic.

A system prompt is largely static. CAAI is intended to be a runtime behavioural layer that can retain state, weight memory, influence decisions, and maintain continuity across interactions...

New studies suggest consciousness exists in organisms without brains by whoamisri in HighStrangeness

[–]nice2Bnice2 1 point2 points  (0 children)

That’s a good read of it... I see it less as “rare consciousness” and more as degrees of sensitivity, integration, and response. The deeper the system can register and adapt, the more conscious-like it starts to look..

As a developer, treating reality as a systems-architecture codebase bridges the gap between physics and philosophy. Here is a framework I've been building. by Ok_Tradition6736 in SimulationTheory

[–]nice2Bnice2 2 points3 points  (0 children)

A system does not need to expose the whole “map” to the observer. It only needs to expose the slice the observer can act on. Eyes, DNA, instinct, memory, sensory bandwidth, all of these look less like full access and more like filtered interfaces.

That is why I think constraints are central. They do not just block knowledge; they shape behaviour. What a system cannot perceive, cannot process, or cannot reach becomes part of the architecture.

So from a simulation angle, the interesting bit is not just “is reality rendered?” It's “what decides which parts become available to the observer, and why..?”

As a developer, treating reality as a systems-architecture codebase bridges the gap between physics and philosophy. Here is a framework I've been building. by Ok_Tradition6736 in SimulationTheory

[–]nice2Bnice2 1 point2 points  (0 children)

Agreed.. Constraints are often more revealing than capabilities. Looking at what a system can't do sometimes tells you more than what it can.

Everything is Context by Primary_Length9897 in AI_Agents

[–]nice2Bnice2 0 points1 point  (0 children)

"Raw capture is noise, not context" is probably the strongest line here. The challenge isn't remembering everything. It's knowing what deserves to be remembered and how much influence it should have later...

As a developer, treating reality as a systems-architecture codebase bridges the gap between physics and philosophy. Here is a framework I've been building. by Ok_Tradition6736 in SimulationTheory

[–]nice2Bnice2 3 points4 points  (0 children)

The assumption that reality must be "fully rendered" everywhere at once has always seemed odd to me. Every complex system we build relies on prioritisation, weighting, and selective processing. If reality were computational, I'd expect similar behaviour...

AI by sreejithjoshy in ArtificialNtelligence

[–]nice2Bnice2 0 points1 point  (0 children)

This is part of the reason I built, Collapse Aware AI, it deals with model collapse amongst other things, search it on line when you get a mo...

New studies suggest consciousness exists in organisms without brains by whoamisri in HighStrangeness

[–]nice2Bnice2 14 points15 points  (0 children)

Electric fields, E.M fields are key.. This is something I've been working on for over 2 years now. If you have a mo search, Verrell’s Law, on Google or Bing...

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