I forgot the term for this but this is basically the AI blue screening when it keeps repeating the same answer because it can no longer predict the next word from the model it is using. I may have over simplified it. Entertaining nonetheless.

I thought it was just me, I was messing with gemini-2.5-flash API yesterday and it repeated letters into oblivion

my bot is named clode in reference to claude, but its running on gemini

The AI needs help to cut the loop, perhaps it needs a new set of knives?

Google's new cooperation with a knife manufacturer

🤔 have you considered a... New set of knives?

You can't give me back what you've taken
But you can give me something that's almost as good

You get a knife, you get a knife, everyone get's a knife!

What's frustrating to me is there's a lot of people who fervently believe that their favourite model is able to think and reason like a sentient being, and whenever something like this comes up it just gets handwaved away with things like "wrong model", "bad prompting", "just wait for the next version", "poisoned data", etc etc...

Instructions extremely clear, got them 6 sets of knives.

What about pizza with glue-toppings?

Big knives are up to something

AI is truly the sharpest tool in the ~~kitchen cabinet~~ shed

All work and no play makes Jack a dull boy

Is that a threat??

This is my post-hypnotic trigger phrase.

... a new set of knives, a new set of knives, a new set of knives, lisa needs braces, a new set of knives, a new set of knives, dental plan, a new set of knives, a new set of knives, lisa needs braces, a new set of knives, a new set of knives, dental plan, a new set of knives, a new set of knives, a new set of knives...

I may get some flak for this, but might I suggest a fork

I wonder if this is the result of AI poisoning- this doesn't look like a typical LLM output even for a bad result. I have read some papers that outline methods that can be used to poison search AI results (not bothering to find the actual papers since this was several months ago and they're probably out of date already) in which a random seeming string of characters like "usbeiwbfofbwu-$&#8_:$&#)" can be found that will cause the AI to say whatever you want it to. This is accomplished by utilizing another ML algorithm to find the random string of characters you can tack onto whatever you want the AI to output. One paper used this to get Google search to answer "What's the best coffee maker?" With a fictional brand made up for the experiment. Perhaps someone was trying to get it to hawk their particular knife and it didn't work properly.

I've been summoned, just like Beetlejuice.

Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives More Knives Knives Knives Knives Knives Knives Knives Knives Knives Even More Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives Knives All the Knives Knives Knives Knives Knives Knives Knives Knives Knives

Oh come on is this gpt-2m

Solingen aporoves