CNN did an investigation into the world of “sleep porn,” in which men drug their wives and either rape them or allow others to rape them.
Dominique Pelicot was not a one-off. He’s not even that unusual.
Yes bener, jaringannya lebih kecil.
Setelah 6 tahun membangun jaringan sensor kualitas udara Nafas, kami harus mengambil keputusan yang sangat berat.
Kami harus mengecilkan jaringan kami.
Bukan karena datanya tidak penting. Tapi karena pendanaan untuk jaringan ini tidak cukup. Kami sudah berusaha keras. Cari funding, cari sponsor, cari cara supaya jaringan ini bisa terus jalan. Tapi kenyataannya, membangun infrastruktur publik seperti ini butuh dukungan yang jauh lebih besar dari yang bisa kami tanggung sendiri.
Karena itu, kami mengubah jaringan sensor Nafas menjadi sebuah Yayasan - @yayasannafas . Artinya jaringan ini sekarang milik publik. Dan kalian bisa ikut menjaganya.
Ada 3 cara kalian bisa bantu:
1. Donasi langsung lewat Kitabisa (link di tweet berikutnya)
2. Sponsori satu sensor. Bisa patungan bareng komunitas kalian.
3. Ajak perusahaan kalian untuk sponsori kampanye kualitas udara.
Kalau kalian tertarik sponsori sensor atau kampanye, DM saya langsung - bisa disetup untuk sensor2 tertentu.
Kami sudah kasih yang terbaik selama 6 tahun ini. Sekarang kami butuh bantuan keluarga digital kami.
Kalau kalian nggak bisa donasi, bantu share ke orang yang mungkin bisa.
Itu sudah sangat berarti. 🙏
Hey, would you mind quickly reading my draft? I'm looking for someone to shower it with praise, question nothing, and assure me it's Ok to submit in the next 4 hours.
so they’ll be capable in 5-10 years time? How do you build the skills if junior roles & tasks now are seemingly could be replaceable by AI?
The possible problem is: the function of junior roles is changing faster than organisations know how to redesign them.
Someone needs to wake up and REALLY THINK how do you plan to have talent regeneration in the age of AI. Lets say they still retain the junior hires—how would you train them & structure their job (c)
I don't get how people are planning to sidestep the very basic problem that if you don't have junior hires right now, you won't have experienced people 5 or 10 years later.
@rohanpaul_ai The repercussions of inaccurate information would not only be borne by the decision-maker but they also extend to individuals or communities affected by those decisions particularly in areas like policy, healthcare, and finance
@rohanpaul_ai LLM is trained to sound convincing & we’re naturally predisposed to accept things that sound credible. As LLM usage becomes more embedded (& encouraged) in crucial decision making, the paper shows how increasingly important to design LLM that prompt users to evaluate its accuracy
@TurnerNovak I was investigating a guy running 30 accounts with Indonesian IP addresses and I was trying to figure out what tools he was using.
I found out it was AI: Actual Indonesians.