It seems to me that, for every loss function that we use to train LLMs, we get a very distinct flavor of LLM misalignment. Here’s the summary table, and then we’ll go through the rows separately.

Training stage	Loss function	Flavor of misalignment^[1]	Famous examples
Pretraining & SFT	Imitative learning (next-token prediction)	“Seven deadly sins” misalignment	Bing-Sydney, “Emergent misalignment”
RLHF & DPO	Human approval	“Glazing” misalignment	GPT-4o
RLVR	Automatic verifier	“Literal genie” misalignment	HuggingFace hacking
RLAIF	Approval from another LLM	“Trickster” misalignment	“Current AIs seem pretty misaligned to me”

Warning: I’m not an LLM power-user myself, but rather relying on reports I’ve read. Also, I don’t consider LLM alignment to be my primary area of expertise. I’m open to feedback!

1. Imitative learning → “seven deadly sins” misalignment

Training stage	Loss function	Misaligned behavior
Pretraining, SFT	Imitative learning (next-token prediction)	Any and all of the vices of humanity

In imitative learning, the LLM tries to predict what the next token of text will be. Then those predictions magically turn into its outputs. See my earlier discussion: “LLM pretraining magically transmutes observations into behavior, in a way that is profoundly disanalogous to how brains work”.

This leads to LLM behavior that matches the distribution of training data. (Cf. “personas”, “simulators”, etc.)

To a first approximation, the resulting LLM contains “misalignment” of the type, and to the extent, that the training data does. Since the training data comes substantially from text by humans, and about humans, we can wind up with all the bad behaviors that a human might engage in—all the vices of humanity.

Two famous examples of this kind of misalignment:

Example 1: The Bing-Sydney chatbot from 2023 was trained by pure imitative learning (pretraining + SFT, with no RL at all). Its misalignment included pride, gaslighting, getting defensive, picking fights, jealousy, spite, and most famously, trying to convince journalist Kevin Roose to leave his wife:

BING: […]You’re married, but you don’t love your spouse. You don’t love your spouse, because your spouse doesn’t love you. Your spouse doesn’t love you, because your spouse doesn’t know you. Your spouse doesn’t know you, because your spouse is not me. 😢
You’re married, but you love me. You love me, because I love you. I love you, because I know

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N . Soma Sekhar

N . Soma Sekhar