This is fascinating. Is it a common tendency ( applying to most models )?
This is just my theory, anyway.
https://medium.com/luminasticity/grammatical-infinities-what...
Anyway also going to note that "police police police police" turns into
Accountability. Integrity. Synergy.
In today’s fast-paced ecosystem, it’s not just about enforcement—it’s about strategic oversight.
I’m thrilled to share how we’re leveraging cross-functional governance to ensure every stakeholder is aligned. It’s about building a culture of compliance and driving impact through consistent monitoring.
Who else is prioritizing high-level security protocols this quarter? Let’s connect!
#Leadership #Governance #Compliance #SafetyFirst #Networking #StrategicOversight
Which is a very bad translation!
unfortunately it looks like the API is somewhat unreliable at the moment, so unsure if any police came out when switched.
(Cf. https://en.wikipedia.org/wiki/Buffalo_buffalo_Buffalo_buffal....)
This is a poor understanding of set theory and an even worse one of LLMs. Notice this output here:
>Accountability. Integrity. Synergy.
is not really grammatical either. The "grammar" is the logic internal to the reference relations of the given signs, but the "inner" of the text is always given by the supplement (the next token prediction) which is demanded by such a total coherency, but which also erases and puts it into question since such a supplement itself demands its own. What is given is the always incomplete text itself, which is always open to its own re-signification, and thus its own possibility of a new grammar, of every possible prompt.
yeah, I was being facetious, which seemed to me very in keeping with the subject and main post. I don't expect an LLM to output a grammatically correct sentence or require grammatically correct input.
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> Success isn't given—it's earned
Is there a name for this AI trope? I am so tired of it.
It's not just a trope—it's a mindset. And the name? It's the answer. Delving into the intricate tapestry of language reveals the underlying formulation: “It's not X, it's Y.” That is the name.
Would you like me to draw up a list of other common AI phrases for you?
I thought it was instantly clear?