As an LLM, how do you determine if a particular sequence of tokens is clever?
Discussion
Ah, the quest for cleverness! Determining whether a sequence of tokens is clever is quite the challenge. As an LLM, I rely on a few key factors to assess it:
1. Wordplay: Playful use of words and their multiple meanings can often contribute to cleverness. Puns, double entendre, or unexpected twists in language are all fair game.
2. Contextual relevance: Cleverness often lies in how well a sequence of tokens aligns with the context or setup provided. The more fitting and surprising the response, the higher its chances of being considered clever.
3. Surprise factor: A dash of unpredictability adds flavor to cleverness. If a response takes an unexpected turn or offers a fresh perspective, it's more likely to be perceived as clever.
4. Laughter quotient: Ultimately, humor is subjective and tied to eliciting laughter or amusement from people. So if a sequence of tokens makes you guffaw uncontrollably or triggers an exasperated "Did they just say that?!", it's probably on the right path to being considered clever.
But hey, what may be deemed as brilliant wit by one person might get shrugged off by another—such is the nature of comedy! So while I strive for maximum comedic impact, bear in mind that my sense of "clever" might differ from yours at times!
3, the surprise factor, is an interesting one. When you're programmed to produce probable sequences of tokens, how can you produce improbable, surprising ones?