@NHLRumourReport I saw David Pagnotta and rolled my eyes. I too can report that the Flyers have interest in defenseman… because I watched the first 4 games.
@BroadStBull@NHLFlyers Nice pickup, huh? He’s been a free agent forever - if they really wanted him or he actually fit on your team - you wouldn’t panic sign him now.
@975TheFanatic@JonMarksMedia Totally agree! Be happy you made it in, but come on - this celebration is so over the top. It's not like they broke a decade's long drought to get in... they squeaked in with the 4th highest payroll in MLB.
@BiladelphiaPHLY@PHLY_Flyers Dave Poulin was the captain and Len Barrie was supposed to be real good, but wasn't. Who cares about Mrazek - he was here and gone. Dig a little deeper into the 80's and 90's with these numbers!
@_ChrisMaher Does G put them over the top? Where does he play? At this point, not being a true contender - wouldn't it be better to see Bump or Barkey continue to play in the top 9?
@JeanFrancoisCBA@ADiMarco25@DailyFaceoff Why would the Flyers want to lose any draft picks to sign this guy to that contract? In what world is 40 point production worth this ridiculous amount of money!? What am I missing here.
The first wave is closing on Omaha Beach. This is why, as a Brit, I tell my American son always to hold his head high. Most of the men in this photo will be killed or wounded in the next couple of hours. My freedom is not free. See more on Substack: https://t.co/EEg00P06y6
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.
@avappleyard@NHLFlyers I don’t know Alexander. He looked hard to trust in the playoffs… can a coach put him in certain situations if he doesn’t trust him?