hänafi

anti-uing-uing

[hänafi @h4nafi]

And your eyes are in your eyes
And my heart's in our hearts
Sometimes words just ain't enough
For this love that's more than love

[hänafi @h4nafi]

Lagi banyak update

[hänafi @h4nafi]

Laut

[hänafi @h4nafi]

@senogp tapi... Depok punya Ayu ting-ting...

[hänafi @h4nafi]

Masih amazing, spp 60jt sebulan...

[hänafi @h4nafi]

@rgoestama

[hänafi @h4nafi]

@arieparikesit Pengen kaget, tapi nggak.
50GB di halo tsel, habis lebih cepet dibanding indosat.
Penggunaan? Kira-kira sama...
Tapi karna ga ada acuan... pake kira-kira...
yasudah, halo nya jadi cadangan aja.

[hänafi @h4nafi]

harus stop satu-satu? @Telkomsel

[hänafi @h4nafi]

Galakan PKL yang make trotoar ketimbang orang yang mau make buat jalan...

[hänafi @h4nafi]

Cuma sanggup jadi juara liga?

[hänafi @h4nafi]

Tol Cipali KM 174 arah jakarta, kecelakaan Bis Sinar Jaya rute Malang - Bogor dengan Truk, menutup lajur.
@RadioElshinta

[Nunu @adukhinggarata]

2022 WA grup kostku ada anak baru yang ngetik panjang lebar karena dia 'nemu' daging kurban di depan pintu kamarnya. "Takutnya salah kirim ini, namanya memang betul nama saya tapi saya bukan muslim. Saya minta maaf ini saya sentuh plastiknya tadi-

[hänafi @h4nafi]

@KayUsBoon Yamaha aerox nih

[hänafi @h4nafi]

@Telkomsel melelahkan

[hänafi @h4nafi]

@Setan666x @txttransportasi N karena turunan ?
ini sopir niat hemat BBM?
mobil listrik diperlakukan kaya mobil ICE?
gak ada pelatihan apa?

P digas? dan berharap jalan? astaga...
bahaya sekali...

[hänafi @h4nafi]

@D_ohranghae @ryan_nira Waktu itu saya turun tanggul, masih lama buat nunggu adzan subuh. Molor paling normal 1 jam. Sisanya tergantung kondisi jalan.

[Ryan Hart @thisdudelikesAI]

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.

[hänafi @h4nafi]

Gambarnya ketinggalan

[hänafi @h4nafi]

5G tapi palsu...
loading ga slese-slese @myXL

[dr. Gia Pratama @GiaPratamaMD]

H-1 keberangkatan.

Semua yang saya siapkan selama dua bulan terakhir, insyaAllah sudah sampai di titik akhir.

Persiapan fisik sudah. Tas emergency berisi alat medis dan obat-obatan untuk jamaah sudah siap. Data medical check up jamaah sudah saya pelajari. Alur rujukan pasien sudah disiapkan. Koper pribadi juga sudah tertata.
Kain Ihram pun sudah siap.

Sekarang tinggal menata satu hal terakhir.

Hati.

Semoga tubuh ini kuat. Semoga pikiran ini jernih. Semoga langkah ini dijaga. Semoga setiap keputusan medis yang saya ambil nanti selalu Allah tuntun dengan ilmu, ketenangan, dan kasih sayang.

Besok, insyaAllah saya berangkat untuk menjalani Spiritual Journey ini, menjalankan amanah menjaga kesehatan jamaah Haji di Tanah Suci sampai kembali ke Tanah Air.

Bismillah. Bismillah ya Allah. Mudahkan. Kuatkan. Lindungi kami semua.

[hänafi @h4nafi]

ini episode 4 airing jam berapa sih?