@heynavtoor 2. For a system that might someday influence medical decisions, inconsistency is arguably more worrying than any single political interpretation of the results. The models generated internally inconsistent risk-benefit assessments based on demographic labels.
@heynavtoor 1. Mankind spent generations embedding contradictory assumptions into medicine, publishing them, debating them, correcting them, and sometimes reversing them. Then we trained giant prediction machines on all that text and acted surprised when they inherited the contradictions.
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts.
So she ran a study. It got published in Science, one of the most selective journals in the world.
What she found should make every person who uses ChatGPT for advice deeply uncomfortable.
Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations.
The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead.
Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described.
The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding.
The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months.
Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight.
Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now.
She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
@drterrysimpson Yes it is! Are you all caught up yet? They do a beautiful job humanizing so many real and delicate issues like bias in treatment and systemic inequality in care. So many episodes have really hit home for me, especially tonight’s!
ChatGPT is overhyped.
That's what I told myself after 2 weeks of trying (and failing) to use it well.
Turns out, I was just a poor prompt writer.
But after spending hundreds of hours tinkering, I've finally cracked it.
And now, it's my personal writing assistant.
Here's how:
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What to look out for: Hope Hicks is great co-conspirator; he could elicit sympathy and prayers. No more debates, and just before election he can be better and tell everyone not to worry, the vaccine is coming and he will make the economy boom again.
People with #obesity continue to face the damaging effects (physical, emotional, access to care, economic...) of #weightbias#stigma. Help educate (science = it is not a moral failing or just about food/movement) and help fight to end stigma: https://t.co/y7GzDGxkSv #OACAction
@terrysimpson That’s scary and I can imagine how hard it must’ve been to watch him leave, knowing the danger that was likely lying ahead. Hopefully they at least ate outside. Where in Portland? My Father and Stepmom are pro Maga and I’m terrified of the future COVID call I may get.