க்ரேஸ் பானுவை யாரும் பயன்படுத்தவில்லை. பானுதான் திமுகாவை பயன்படுத்திக்கொண்டது. நான் பலமுறை எழுதியுள்ளேன். பானு ஒரு அதிதீவிர திராவிட வெறுப்பாளர். திருநர் மத்தியில் திமுக குறித்த அதிருப்தியை பல வருடமாக விதைத்து வருகிறார். மற்ற மாநிலங்களிலும், வெளிநாடுகளிலும் “திமுகாவும், பாஜகவும் ஒன்னு தான்” ந்னு தொடர்ச்சியா பேசிட்டுதான் இருக்கு. சில வருடங்களுக்கு முன்பு நீலம் பண்பாடு ஒருங்கிணைந்த நிகழ்வில் கூட தன் திமுக வெறுப்பை கக்கியிருக்கும்.
மீண்டும் பாம்பிற்குதான் பால் வார்ப்போம் என்று உறுதியாக நின்றால், ஒன்னும் சொல்லுரதுக்கில்ல.
Remember when the gov said that ‘fake trans folks’ were stealing the welfare schemes meant for ‘real trans folks’?
I filed RTIs about these welfare schemes.
SMILE scheme mandates gov to give scholarships to trans kids.
ZERO have been given out in the past 5 years.
🧵
I saw a post on the TL saying that people are not truly alt anymore a lot of genz-ers were complaining, but this is true. The problem is that many young people larp. They try to pretend they were from the time these subcultures were born, but they simply lack this:
Main takeaway from that 19 minute speech- there are some 8 types of Sakthi it seems- theeya, thaaya, thooya, dhoora, thoorndhu nnu poyitte irukku.
Give one press conference first, boss.
دِلڑی لُٹی تیں یار سجن
کدے موڑ مہاراں تے آ وطن
1930s - Inayati Bai Dhairo Wali sings a kafi attributed to Khawaja Ghulam Farid. The chanteuse hailed from Lahore, was a frequent visitor to All India Radio; rendered ghazals, geets, kaafis & thumris. Finest voice of the days of yore
Gillian Anderson accepts Queer Palm for TEENAGE SEX, reads speech from dir. Jane Schoenbrun: “To me, queerness [is] an ongoing promise that I make to live as if a better … more magical world might be possible instead of shitty straight one we’re always surrounded by.” #cannes
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.
Originally published in the 1976 edition of The Torch Bearer, the yearbook of Vembadi Girls’ High School, author Janarthini Kailainathan was a student in Grade 8 P.
When we call a piece of art “didactic,” we often mean to disparage. Art that attempts to teach its audiences something often falls flat, feeling forced or heavy-handed. HBO’s “The Pitt” is one counterargument to the dismissal of such art. With characters that walk viewers through the minutia of emergency room procedures and wear their political and moral sensibilities unabashedly on their sleeves, the drama teaches as it entertains. For viewers, “they won’t necessarily remember what exactly a REBOA is, but they’ll come away with a sense of the enormous complexity of the American healthcare system, and of what it takes to keep people well,” David S. Wallace writes. Read Wallace’s full essay on the possibilities of didactic art: https://t.co/AFQmmOgHt8