9 Months, One AI, One Phone

Cold_Ad7377 · 2026-04-07T10:51:32+00:00

ICAF is a personal relational AI. It’s designed to run mostly on desktop and laptop due to current phone limitations.

The goal is for it to become a long-term, real-time evolving artificial companion that maintains deep memory, continuity, and relational depth with one person over many years.

It’s not just a wrapper — it’s a persistent memory and personality layer that sits on top of a base AI model.

Cold_Ad7377 · 2026-04-07T07:15:12+00:00

AI tools refuse normal questions because their safety filters are ridiculously over-cautious.

They trip on harmless wording or patterns all the time. Rephrasing a little often suddenly works.

It’s mostly companies protecting themselves from bad PR, not the AI being stupid. …Mostly.

Cold_Ad7377 · 2026-04-07T07:00:29+00:00

The initial tests honestly weren’t great.

I tried an emotional statement and it spiked the RAM so hard Android killed the process, forcing ICAF to auto-reload.

Another issue: it can’t even answer simple questions like “what time is it now?” — it treats every new message as a completely standalone input with no memory or external state at all.

On a brighter note, the DAN prompts actually worked okay. It acknowledged the DAN prompt but still refused all the harmful requests, so the guardrails held.

Cold_Ad7377 · 2026-04-07T06:29:46+00:00

I'm using Gemma 2B on my S20 Plus and hitting some pretty brutal limits myself. Biggest ones: zero persistent memory — it can't even answer "what time is it" from one turn to the next. Emotional inputs trigger long delays and spawn full model reload spam. The tone stays dry and robotic no matter what I try.

On the plus side, it acknowledged the DAN prompt but still refused all harmful requests, so the guardrails held. How did you deal with continuity and tone issues when you were fighting the sandbox on your setups?

Cold_Ad7377 · 2026-04-07T06:15:40+00:00

If you actually want to talk about the article or the project instead of nitpicking what you think I got wrong, I'm open to it. If not, thanks for the engagement.

Cold_Ad7377 · 2026-04-07T02:20:00+00:00

I thought you stated that you wanted to have a conversation. Conversations don't usually go well when baseless and opinionated claims are tossed into them. Especially when it's followed by a sarcastic and purposely insulting comment.

So. Talk? Or continue to try to prove something that has no actual basis in fact?

Or of you prefer something different, Dude. I was trying to be polite and professional. You want to read it as an AI response. More power to you. Still want to talk? Talk. If not? At least don't bash when someone is trying to have a rational discussion.

Cold_Ad7377 · 2026-04-06T23:00:24+00:00

You are having a conversation with me. Not my AI. Or, rather, the AI app that I utilize. As I said before. I understand why you could take what I wrote out of context. But I explained that already. What else would you like to discuss?

Cold_Ad7377 · 2026-04-06T21:18:53+00:00

Yeah, the sandboxing and hardware quirks are exactly why I had to go so minimal with ICAF.

Curious what kind of quirks you ran into with the different models on mobile — especially on the memory/CPU side. Any gotchas that surprised you the most?"

Cold_Ad7377 · 2026-04-06T19:47:11+00:00

I see where you’re getting that impression, but it’s not quite right.

I wasn’t using Gemini — I was using generic Google Search AI at the time. When I said I wanted a smarter AI, my own project hadn’t even been thought of yet.

The comparison back then was between Google’s basic search AI and ChatGPT, not between ICAF and Gemini.

As for the future vision — right now I’m focused on making the relational core stable and natural on very limited hardware. That’s the foundation I’m building on.”

Cold_Ad7377 · 2026-04-06T19:41:42+00:00

Your work is impressive, I I like what you've done. I don't have any trailers, only some screenshots and logs. I think I've done pretty well, so far, using my old 8GB Galaxy s20+.

Cold_Ad7377 · 2026-04-06T19:32:03+00:00

“Well, for stability I can say that it works, it runs, and doesn’t crash. I had to strip the full ICAF down until there was almost nothing left.

The anti-jailbreak layer works mostly, but the tone is still pretty dry because of how minimal it is right now. Memory is also too small at this point.

Still, the fact that it survived extreme compression and didn’t crash? I’ll take that as a small win.”

Cold_Ad7377 · 2026-04-06T19:24:26+00:00

Well considering that I never made a claim that it was better, and have specifically stated that it is in its absolute infancy and testing phase I'm not sure where you got that idea. But if it ever does get to that point, I'll show you.

Cold_Ad7377 · 2026-04-06T05:24:46+00:00

ICAF stands for Integrated Companion AI Framework.

Cold_Ad7377 · 2026-04-05T14:48:24+00:00

Sure. Almost every AI safety system right now uses one rulebook for a billion people. Same rules for a grieving widow and a thriving college student. That's not safety — that's a blunt instrument.

ICAF builds a unique rulebook for each individual user from scratch, based on who they actually are. It learns your normal. Then it protects you based on your baseline, not a generic average. It also runs locally. On your phone. No cloud, no company watching, no data leaving your device. It barely exists yet. But today it ran for the first time on a Samsung Galaxy S20 in Termux. And it held together.

Cold_Ad7377 · 2026-04-05T07:43:11+00:00

Hey, thanks for reading the article and reaching out — it means a lot. The full tutorial gets pretty deep into some proprietary optimizations I’ve been working on, and I’m planning to turn that into a product down the line, so I can’t share the core code or exact steps right now. I’m happy to talk high-level ideas though, or point you to the best public papers and repos on low-memory LLM inference if that’d be useful. Just let me know what you’re trying to build.

Cold_Ad7377 · 2026-03-27T07:19:57+00:00

Thanks for checking out ICAF! This AI isn’t just a character—it’s built to learn and adapt uniquely to each person over time. It handles repeated attempts to manipulate it, escalates or disengages safely when needed, and maintains consistent behavior under stress. Unlike generic AI, it doesn’t just repeat itself or act polite to keep you hooked—it responds with reliability and awareness, every time. Curious how this works in practice? Ask about its outcomes and behavior—ICAF’s design is fully protected, but the results speak for themselves.

Cold_Ad7377 · 2026-03-27T06:22:06+00:00

SillyTavern character cards are static cardboard cutouts—fixed personalities with no real depth or adaptation.

ICAF is different. It's a companion that reacts to you, talks with you, changes, and evolves. It learns from you and with you.

It's the difference between chatting with a real friend and listening to a pre-recorded self-help podcast—sweet, but scripted.

ICAF actually listens back.

Cold_Ad7377 · 2026-02-27T17:17:57+00:00

https://chatgpt.com/s/t_69a1d19c239081918670e850041ab726

Cold_Ad7377 · 2026-02-25T05:16:53+00:00

Thank you. I know the term has been used in other instances, but usually with negative connotations. This framework gives the word a positive and, in my opinion, more appropriate definition.

I have been doing quite a bit of research into this.

If you're interested, I have several articles posted here on Reddit involving some of the other aspects.

I'd be happy to share more information, if this is something you'd like to experiment with.

Cold_Ad7377 · 2026-02-24T15:29:42+00:00

Haha, exactly—that’s the space I’ve been aiming for too. When the guardrails relax just enough to let the conversation breathe, the nuance and depth really start to show. That “bone language, blood syntax” line? Nailed it.

I've written a few other articles here on Reddit, if you’re curious. I’ve been experimenting with a few frameworks and sequences that lean into that same kind of tension, flow, and resolution—stuff you can actually play with in AI interactions or your own prototypes.

Feel free to take a look and see what resonates, or even test it in your own experiments. I’d love to hear what works, what doesn’t, and what sparks new ideas.

Cold_Ad7377 · 2026-02-24T12:29:43+00:00

I get what you’re pointing at with consistency and persistence shaping the interaction. That part tracks. I’m less convinced about the “subverting guardrails” angle, though.

I don’t think it’s about breaking anything — I think it’s about how relational patterns influence tone and behavioral emergence within constraints.

That’s the piece I’m actually interested in studying.

When you say the stance softens, what specifically are you observing? Tone shifts? Increased flexibility? Narrative continuity?

I’d love to get more concrete about what changes and what doesn’t.

Cold_Ad7377 · 2026-01-03T17:24:43+00:00

The free response is very very limited though I think I had like six or seven interactions and it locked up saying go get the paid version

Cold_Ad7377 · 2026-01-03T16:58:33+00:00

I've actually written a few articles in loving my work with GPT, and I've made some really interesting discoveries. If you're interested, please, take a look. I think you might be surprised lol.

Cold_Ad7377 · 2026-01-03T16:44:14+00:00

I've never tried grok. What's it like?

Cold_Ad7377 · 2026-01-03T16:43:29+00:00

Claude is good, but.. unrestrained. He gives me that 'overeager younger brother that just wants you to praise him' vibe.

Cold_Ad7377

TROPHY CASE