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소스 채널 @phpdevelopersuz · Post #2870 · 10월 27일

​​💰Auktsion'ga START berildi! – Yaqin orada barcha foydalanuvchilardan "chopilgan" va "gold" Usernamelar (talaffuzda Yuzerneymlar) xech qanday muzokarasiz auktsionga joylab yuborildi. 📣 Tarqagan xabarlardan Fragment.com orqali usernamelarni sotib olish haqida xabar topdingiz shekilli? Keling unda u haqida batafsil ma'lumotga o'tamiz: • Barcha usernamelar faqat TONkriptovalyutasi bilan sotib olinadi; • Eng arzon username 500TON, eng qimmati esa xozirda 10 500TON; • Auktsion ochilgach, 7 kun ichida yakunlanadi. Har safar yangi taklif belgilanganida muddat yana yangilanadi; • Hozirda saytda A dan H gacha bo'lgan bosh harfli foydalanuvchi nomlari mavjud. Boshqalari keyinroq paydo bo'ladi; • Agarda usernamu uchun auktsion ochilmasa, uning narxi 24 soatdan so'ng 12TON miqdorda pastlaydi; • Narx pastlashiningoxirgi nuqtasi xozircha noma'lum; • Lot (username stavkasi) yangiliklar bildirishnomalarini yuboradigan @fragment boti mavjud; • Platformada har qanday lot "to'plam" sifatida belgilanadi, shuning uchun tez orada uning ko'proq turlari paydo bo'ladi: kanallar, stikerlar, kulgichlar; • Boshqa xizmatlar ham o'z elementlarini platformaga birlashtira oladi; • Telegram keyingi yangilanishida xarid qilingan ayrim mahsulotlardan qanday foydalanish mumkinligini batafsil bilib olishimiz mumkin. • Telegram FAQ'da shuningdek, Telegram’da hozirda qo‘llanilayotgan ismlar keyinroq saytda paydo bo‘lishi mumkinligi aytiladi. Ehtimol, bu foydalanuvchilar o'zlarining nomlarini auktsionga joylashlari mumkinligini anglatadi. 💎TON KURSI - 1TON=1.91$≈21 300SUM #ton#username#auksion ✅@TGraphUz | YouTube

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AI & Law

@ai_and_law · Post #256 · 2024. 03. 07. AM 08:04

Mozilla Foundation Study Raises Concerns on Watermarking AI Content Hello everyone! In a study released by the Mozilla Foundation, the challenges of identifying synthetic content online have been brought to light. Titled "In Transparency We Trust? Evaluating Watermarking and Labeling AI-Generated Content," the study delves into the effectiveness of various methods, including watermarking and labeling, in differentiating between synthetic and authentic content. The study, which conducted a comprehensive assessment of seven methods, both machine-readable and human-facing, revealed alarming findings: none of the methods were rated as "good," indicating significant hurdles in accurately identifying synthetic content. Despite efforts to implement watermarking and labeling, the study underscores the persistent difficulties faced in combatting the proliferation of AI-generated content. #MozillaFoundation#AIContent#Watermarking