Tiba-tiba anggota DPR marah soal Kopdes, tiba2 KPK banyak tangkapan MBG, semua terasa serentak sekarang. Kemarin ke mana aja?
Tak apa karena setelah ini, tiba2 Prabs stop MBG dan Kopdes (sebagian/sementara). Dia bilang, perlu kaji ulang dan lalu tampil bak pahlawan (lagi).
Family separation, mass detention and deportation, a rising ICE detention death toll, ‘mega master’ hearings in immigration court, and now an additional $70B for federal immigration operations: when will the obscene attacks on due process and fundamental rights end?
Ada yg tau ini mobil siapa? Sekitar jam 4:30 sore ini maksa masuk ke jalur underpass depan Gandaria City arah Pd Indah, dari lajur paling kiri, ga pake sen (sign lamp) pula. Nyerempet mobil saya dari depan sampe blkg. Setelah underpass saya ngesen kiri, eh dia lewat jalur busway.
pak faiz tadi ditanya audiens: “apa kalimat yang tepat, yang pengin didengerin orang2 yang lagi berduka?”
dijawab: “gak ada. gak perlu. mereka gak butuh itu. diam saja. kalau mau membantunya, pastikan aja kalau kamu selalu ada.”
"Funny how we all grew up thinking success meant titles and degrees. But now, most of us just want a life that feels light, peaceful, happy and meaningful.” ~Unknown
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.
Reflecting on her experience with Vera’s Global Justice Exchange initiative, Sheena Meade, CEO of @CleanSlate_Init, explores what it would take for the U.S. to transform its justice system: courage.
https://t.co/54HcGFBDAe
Bagi yang belum yakin tentang rapor merah Prabowo-Gibran:
1. Nilai tukar rupiah terendah sepanjang sejarah
2. Kabinet tergemuk sepanjang sejarah
3. Presiden paling sibuk ke luar negeri dan wapres paling tidak berguna sepanjang sejarah (51 kunjungan dalam 2 thn, sementara Jokowi 58 dalam 2 periode)
4. Nominal utang & suku bunga APBN terbesar sepanjang sejarah
5. Proyek Korupsi termahal sepanjang sejarah
6. Praktek Nepotisme terparah sepanjang sejarah
7. SDM generasi muda terendah sepanjang sejarah
From Vera's work creating prison housing units grounded in dignity to @TLM's technical training initiatives, programs across the U.S. are showing that it's possible to improve prison conditions and reduce recidivism.
@BrennanCenter highlights the data: https://t.co/j8VRI1et8r
'Younger, less-experienced workers are already feeling the impact of AI disruption.'
Why are some jobs disappearing while others are more in demand than ever, and how do we avoid work becoming standardised so that it can be automated away?
@oiioxford's Dr Fabian Stephany explains ⬇️