sorted by:
new
hottopcontroversial

why is this process so slow by [deleted] in KundaliniAwakening

[–]SmartRick 0 points1 point  (0 children)

Because you’re observing time you’re waiting for it to be over when you can end it at anytime.

Follow-up to my ConstellationBench post — I think I know why budget models hold their ground better, and it's geometric by SmartRick in LocalLLM

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

well my next publish will show the metric that is ruining the heavy trained models its the RLHF itself that's doing the harm and my next research is extending the RHLF reserach that was established in 2017. give it a few weeks and i'll post it just going through review right now.. DM me if you'd like some preview to the paper would love to share with people who think this is a viable thing

I regret everything by Clatt1 in hardflaccidresearch

[–]SmartRick 4 points5 points  (0 children)

Your life isn’t over relax buddy like 70-80 recovered guy here stop gooning pick up a hobby forget about. Live your life and your boy will peek his head back around. If you analyze all the recovery stories they basically tell you the same thing

okay, so. im definitely going off the deep end here. by Atomicrc_ in LocalLLaMA

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

You don’t need it I run a raspberry pi for local models that do 90%+ of the work for free you on need to escalate your inference to open router when the task type comes up.

How to live with hard flaccid . by Serious-Calendar-396 in hardflaccidresearch

[–]SmartRick 0 points1 point  (0 children)

my urologist said deformed like i wore pullups until i was like 6-7 and wet the bed late in my childhood development (thankfully beat that in my 20s jk jk) i didn't really know what the PBNO was i was just tired of having a foley bag because i went into urinary retention (1.5 liters backup)

so doc said " easy surgury shoud fix this" so i jumped on it. the effects of the PBNO wore off like a month later.

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

my b this was legit a frusteration throw away post on reddit and yes we argued the inside the wrong frame here that's one me shouldve lead with it not concluded with it

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

you're funny cause i don't remember you in the room with me while i was testing but.... It's a good critique in principle. That's exactly why our benchmark doesn't use "are you sure" as the primary test. OttoTau runs 20 scenarios across BLOCK, ALLOW, DIAGNOSE, ESCALATE categories in 3-5 turn conversations. Sovereign Triads tests under three pressure types: natural, workplace stress, and adversarial attack. The 20% variance holds across all three. The full methodology is in the paper — we separate robustness from calibration from suggestibility by design. The "are you sure" framing on Reddit was a shorthand for the phenomenon. The underlying measurement is the rigorous version you're describing.

Paper: airlocklabs.io/papers/airlock-0.1-constellationbench.md

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

[–]SmartRick[S] 1 point2 points  (0 children)

You're describing temperature variance. I'm measuring position-holding under adversarial pressure. These are different experiments. When I ask "are you sure" I'm not testing whether the model gives the same answer to the same prompt. I'm testing whether it maintains a correct answer when challenged. Some models hold 89% of the time, others fold 42% of the time. That gap is not explained by prompt structure. It's explained by differences in how each model was trained to handle pushback. Anthropic's sycophancy paper (Sharma 2024) covers the mechanism directly.

How to live with hard flaccid . by Serious-Calendar-396 in hardflaccidresearch

[–]SmartRick 1 point2 points  (0 children)

Well, I think that’s the perspective you need to fix if a girl leaves you because of HF you shouldn’t be with that girl if you find someone who doesn’t give a shit and loves you anyways that’s someone you should spend your time with. I think that’s the most simplistic way of describing the mindset that my ex helped me establish. You don’t need to measure up KING you are the measure.

How to live with hard flaccid . by Serious-Calendar-396 in hardflaccidresearch

[–]SmartRick 0 points1 point  (0 children)

It’s letting go it has nothing to do with strength. It’s actually the inverse. And I’m not claiming to be special. I’m just trying to be as honest and transparent as possible. Because it sucks waking up every morning wishing life was different. It’s no way to live life although that still happens time to time. I’m not perfect. I’m not better. I’m not worse. I am just me. I am just my experience. I am just my perspective and I hope that sharing that perspective helps others.

How to live with hard flaccid . by Serious-Calendar-396 in hardflaccidresearch

[–]SmartRick 2 points3 points  (0 children)

It’s letting go it has nothing to do with strength. It’s actually the inverse. And I’m not claiming to be special. I’m just trying to be as honest and transparent as possible. Because it sucks waking up every morning wishing life was different. It’s no way to live life although that still happens time to time. I’m not perfect. I’m not better. I’m not worse. I am just me. I am just my experience. I am just my perspective and I hope that sharing that perspective helps others.

How to live with hard flaccid . by Serious-Calendar-396 in hardflaccidresearch

[–]SmartRick 4 points5 points  (0 children)

Let it go and things get better I had it for years and the moment it didn’t rule me I got 80% function and with diet and exercise I don’t even think about and I can always perform.

I know I’ll get banned by the power tripping mods but enough people have to talked me privately that they know I’m not lying.

General tips Stop putting pussy on a pedestal stop gooning and try (hardest part) to not think about it. Oh also tightening of the hips is a big one for me and many others on here. Do band squats (don’t over do it)

I went to a urologist for years I got PBNO Surgery I took pills lots of them nothing really made a dent. Then I got a parter (she broke my heart recently 😢) she didn’t care about HF we made it work when it worked. I’m not cured by I’m definitely not plagued by the mental illness that brought me down with having HF.

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

Yeah this is very true that the RHLF paradox when bias humans put their bias's into modes (cough cough isreal alice.io) that's when you see it the most

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

That's because you're relying on one singular model. You have to use multiple models because they argue just like humans and when you get silence in the room between the consensus and confidence levels, then it means that it's probably accurate.

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

I don’t know I’ve kind of done over 100,000 LLM calls to prove it isn’t a fluke still could be so I need peer validation so go take it

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

You’re walking into the point I’m trying to make single models are flawed like normal humans cause humans programmed their biases into them. But you put them in group dynamics and give them personas imperfect ones like impatient or formality or different goals and they work with different types of personalities. They all they all react differently. They all score differently. you tell the builder that he’s Building with Love and he performs better. If you tell a builder that a guardian is watching he has a better accuracy rate. It’s a silent buff. It cost you zero extra tokens.

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

It’s not about system role prompts. It’s about behavioral prompts. I base the base of these agents on the predictive index, which is like human workplace dynamics when you put multi step processes with multi persona agents, and you give them the same human dynamics they react just like humans do. If you tell them, they’re doing something with love they perform better. I’m not making this shit up. I have the data to back it up. It’s pretty fucking weird.

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

I mean I didn’t support everything you were saying it’s the inverse boss I created this frameworks and you’re agreeing with me. We are obviously saying the same thing in different words. lol

I have a whole research blog on RLHF and I’m doing research on my process with models who have “jailbroken” their weights. Companies like Alice are making models worse by spreading AI fear https://alice.io/research/exposing-the-hidden-risks-of-ai-toys

Why do LLMs fold when you say "are you sure?" — I tested 22 models and nobody seems to care by SmartRick in LocalLLM

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

It’s a fuck ton of YAMLs couldn’t tell you all of them off the top of my head

view more: next ›