💥В четверг 17 апреля на просеминаре по математической логике и информатике будет тема "P и NP" (А.А.Оноприенко).
✅Просеминар проходит по четвергам в 16:45-18:20 в аудитории 436 (2 гуманитарный корпус). ✅Можно заранее порешать задачи (прикреплены к посту). ✅По просьбам участников создан чат просеминара в телеграме: https://www.group-telegram.com/+8lzSUf8ghLAzMjRi ✅Информацию о просеминаре можно найти на странице logic.math.msu.ru/proseminar/.
💥В четверг 17 апреля на просеминаре по математической логике и информатике будет тема "P и NP" (А.А.Оноприенко).
✅Просеминар проходит по четвергам в 16:45-18:20 в аудитории 436 (2 гуманитарный корпус). ✅Можно заранее порешать задачи (прикреплены к посту). ✅По просьбам участников создан чат просеминара в телеграме: https://www.group-telegram.com/+8lzSUf8ghLAzMjRi ✅Информацию о просеминаре можно найти на странице logic.math.msu.ru/proseminar/.
Telegram, which does little policing of its content, has also became a hub for Russian propaganda and misinformation. Many pro-Kremlin channels have become popular, alongside accounts of journalists and other independent observers. NEWS At the start of 2018, the company attempted to launch an Initial Coin Offering (ICO) which would enable it to enable payments (and earn the cash that comes from doing so). The initial signals were promising, especially given Telegram’s user base is already fairly crypto-savvy. It raised an initial tranche of cash – worth more than a billion dollars – to help develop the coin before opening sales to the public. Unfortunately, third-party sales of coins bought in those initial fundraising rounds raised the ire of the SEC, which brought the hammer down on the whole operation. In 2020, officials ordered Telegram to pay a fine of $18.5 million and hand back much of the cash that it had raised. WhatsApp, a rival messaging platform, introduced some measures to counter disinformation when Covid-19 was first sweeping the world. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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