If you have ever read the "thought" process on some of the reasoning models you can catch them going into loops of circular reasoning just slowly burning tokens. I'm not even sure this isn't by design.
this post was submitted on 25 Jan 2026
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I dunno, let's waste some water
They are trying to get rid of us by wasting our resources.
So, it's Nestlé behind things again.
I'm pretty sure training is purely result oriented so anything that works goes
Exactly why this shit is and will never be trustworthy.
Why would it be by design? What does that even mean in this context?
You have to pay for tokens on many of the "AI" tools that you do not run on your own computer.
Hmm, interesting theory. However:
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We know this is an issue with language models, it happens all the time with weaker ones - so there is an alternative explanation.
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LLMs are running at a loss right now, the company would lose more money than they gain from you - so there is no motive.
it was proposed less as a hypothesis about reality than as virtue signalling (in the original sense)
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Compute costs?
This kind of stuff happens on any model you train from scratch even before training for multi step reasoning. It seems to happen more when there's not enough data in the training set, but it's not an intentional add. Output length is a whole deal.
Attack of the logic gates.
What happend here?
LLMs work by picking the next word* as the most likely candidate word given its training and the context. Sometimes it gets into a situation where the model's view of "context" doesn't change when the word is picked, so the next word is just the same. Then the same thing happens again and around we go. There are fail-safe mechanisms to try and prevent it but they don't work perfectly.
*Token
That was the answer I was looking for. So it's simmolar to "seahorse" emoji case, but this time.at some point he just glitched that most likely next world for this sentence is "or" and after adding the "or" is also "or" and after adding the next one is also "or", and after a 11th one... you may just as we'll commit. Since thats the same context as with 10.
Thanks!
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I've got it once in a "while it is not" "while it is" loop.
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Gemini evolved into a seal.
or simply, or
LLM showed its true nature, probabilistic bullshit generator that got caught in a strange attractor of some sort within its own matrix of lies.
It's like the text predictor on your phone. If you just keep hitting the next suggested word, you'll usually end up in a loop at some point. Same thing here, though admittedly much more advanced.
Example of my phone doing this.
I just want you are the only reason that you can't just forget that I don't have a way that I have a lot to the word you are not even going on the phone and you can call it the other way to the other one I know you are going out to talk about the time you are not even in a good place for the rest they'll have a little bit more mechanically and the rest is.
You can see it looping pretty damned quick with me just hitting the first suggestion after the initial I.
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Unmentioned by other comments: The LLM is trying to follow the rule of three because sentences with an "A, B and/or C" structure tend to sound more punchy, knowledgeable and authoritative.
Yes, I did do that on purpose.
Not only that, but also "not only, but also" constructions, which sound more emphatic, conclusive, and relatable.
I used to think learning stylistic devices like this was just an idle fancy, a tool simply designed to analyse poems, one of the many things you're most certain you'll never need but have to learn in school.
What a fool I've been.
Turned into a sea lion
Nah, too cold. It stopped moving and the computer can't generate any more random numbers to pick from the LLM's weighted suggestions.
or
Five Nights at Altman's
This is gold
Platinum, even. Star Platinum.
I don't see no 'a's between those 'or's for the full "ora ora ora ora" effect.
O cholera, czy to Freddy Fazbear?
Reminds me of that "have you ever had a dream" kid.
If software was your kid.
Credit: Scribbly G
The AI touched that lava lamp
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