celo :
When you ask something like “is there a seahorse emoji?”, the model isn’t actually searching a list of emojis, it’s just predicting what text usually follows that kind of question based on patterns from its training data. It thinks there might be a seahorse emoji because it’s seen phrases like “is there a turtle emoji 🐢?” or “is there a dolphin emoji 🐬?” So it tries to generate something similar. But if it can’t find a token that represents the seahorse emoji directly (or gets confused between 🐠, 🐚, 🦄, etc.), it starts to “second-guess” itself. Because the model generates text one token at a time, it reacts to its own uncertainty, it tries to explain, correct, and justify what it just said. That’s why you sometimes get a huge, over-detailed answer about emojis, animals, or Unicode instead of a simple “no.” So like in short: it’s not a bug, just the model’s prediction system getting stuck between “maybe” and “let me over-explain.”
2025-10-17 11:08:43