Rob Long
18K posts

Rob Long
@RobLong73
a dad, husband, Detroit Tigers and Red Wings Fan, total bandwagon Lions fan, runner, jam bands…

It’s imperative that we revert to STANDARD, not Daylight time, for two reasons, one of which you may have never considered. You know the first: solar noon is closest to 12 o’clock all year. That means an equal number of hours before and after noon each day. This also means earlier sunrises which are significantly better for establishing a healthy circadian rhythm. The second reason is that nearly ONE THIRD of US counties are in the wrong timezone. A significant swath of the country isn’t only an artificial hour ahead because of daylight time… but TWO HOURS ahead of true solar time. Year-round daylight time, especially without recalibrating time zones, would establish this error permanently, affecting millions of Americans. We should be letting the Sun dictate the day the way God made it. Arbitrary, artificial tampering would be worse for us all. Fix the time zones and affix standard time.

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.

"My first Major League game I pitched in Fenway. Johnny Pesky was the leadoff hitter. On my first pitch he singled. Bobby Doerr the second hitter, hit my first pitch for a double. Ted Williams the third hitter, hit the first pitch I threw to him for a double. Steve O'Neil, the manager for us called time and met me and our catcher, Bob Swift at the mound. Steve never spoke to me. He said to Bob: "Say Bob, doesn't Virgil have it today?" And Bob answered: "How the hell do I know? I haven't caught a pitch yet." Virgil Trucks. "But Detroit was my team. Gehringer, Cochrane, Greenberg. Guys like that. I just seemed to like the type. That's why there is a Detroit Tigers tattoo is on my arm! I did that when I was sixteen years old before I even got into the MLB." Virgil Trucks. Threw TWO no hitters on a last place team, the same season!


























