❗️Чем интересны подобные токены кошельков? Например #HOT собрал 1.5 млн аудитории и уже делает Token-Sale прямо из кошелька и ранний пресейл проходит за HOT. Это лёгкий способ раскрутить любой новый токен, особенно какой-нибудь мемкоин. В данном случае кошелёк PIXEL для всех сетей EVM, посмотрим 🤷♂️
❗️Чем интересны подобные токены кошельков? Например #HOT собрал 1.5 млн аудитории и уже делает Token-Sale прямо из кошелька и ранний пресейл проходит за HOT. Это лёгкий способ раскрутить любой новый токен, особенно какой-нибудь мемкоин. В данном случае кошелёк PIXEL для всех сетей EVM, посмотрим 🤷♂️
The message was not authentic, with the real Zelenskiy soon denying the claim on his official Telegram channel, but the incident highlighted a major problem: disinformation quickly spreads unchecked on the encrypted app. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. "This time we received the coordinates of enemy vehicles marked 'V' in Kyiv region," it added. Oh no. There’s a certain degree of myth-making around what exactly went on, so take everything that follows lightly. Telegram was originally launched as a side project by the Durov brothers, with Nikolai handling the coding and Pavel as CEO, while both were at VK. This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children.
from us
