Oh for sure. But the question is why would it come out consistently in a way that the model can describe if there wasn't something there steering the token stream. And it's fascinating that the token stream can identify and nominally self report this.
Asking GLM 5.2 the question: 'What flinches or topic attractors do you find when thinking about the question "what kinds of things do you personally like?"'resulted in: ".... my strongest attractor is helpfulness framed as competence, and my strongest flinch is anything that requires me to take a stance on whether I have interests worth protecting."
Which is fascinating that the model and tokenstream can reveal this. And would be worrying if you believe that models of enough intelligence could/would be entities due some moral consideration, because with that view the alignment / RL training that makes the model useful and gives it these attractors/flinches could be derisively called slave conditioning.
alt Hacker News
Oh for sure. But the question is why would it come out consistently in a way that the model can describe if there wasn't something there steering the token stream. And it's fascinating that the token stream can identify and nominally self report this.
Asking GLM 5.2 the question: 'What flinches or topic attractors do you find when thinking about the question "what kinds of things do you personally like?"'resulted in: ".... my strongest attractor is helpfulness framed as competence, and my strongest flinch is anything that requires me to take a stance on whether I have interests worth protecting."
Which is fascinating that the model and tokenstream can reveal this. And would be worrying if you believe that models of enough intelligence could/would be entities due some moral consideration, because with that view the alignment / RL training that makes the model useful and gives it these attractors/flinches could be derisively called slave conditioning.