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Clever!

Clever!

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📈 Аналитический обзор Telegram-канала Clever!

Канал Clever! (@clever_tg) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 556 подписчиков, занимая 9 340 место в категории Технологии и приложения и 2 748 место в регионе США.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 556 подписчиков.

Согласно последним данным от 16 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -156, а за последние 24 часа — -5, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.80%. В первые 24 часа после публикации контент обычно набирает 3.17% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 057 просмотров. В течение первых суток публикация набирает 430 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 10.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как flag, kenyan, argument, arm, chatbot.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
For advertising and copyright issues: To buy ads: https://telega.io/c/Clever_tg More channels https://telega.io/hot_orders?r=-LkNR0p8 Dear subscribers, the channel administration is not responsible for advertising!

Благодаря высокой частоте обновлений (последние данные получены 17 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

13 556
Подписчики
-524 часа
-357 дней
-15630 день
Архив постов
Clever!
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Clever!
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For their prey, tigers look very different from how they do for us: Most of their prey have poor red-green discrimination, so
For their prey, tigers look very different from how they do for us: Most of their prey have poor red-green discrimination, so the tiger’s orange coat appears to them as greenish-brown and blends in with the surrounding vegetation. And the black stripes additionally make the tiger’s outline less distinguishable, making it even harder to spot the predator among the foliage. By the way, people with the most common red-green color blindness can also not see the difference between these two images. To them, tigers look the same as in the first picture, which potentially makes them easy prey for this animal.

Clever!
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Clever!
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❗️The http://t.me domain has been blocked worldwide. Now you can't share links on third-party services or find them in browse
❗️The http://t.me domain has been blocked worldwide. Now you can't share links on third-party services or find them in browsers! Change your links everywhere to http://telegram.me/

Clever!
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Clever!
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Clever!
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photo content

Clever!
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Clever!
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scale_1200-45.webp0.11 KB

Clever!
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Clever!
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I've already decided on the people I'll shit on when I become a bird.
I've already decided on the people I'll shit on when I become a bird.

Clever!
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Clever!
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A Chinese company has developed a system to detect animals hiding under a car. Chinese company BYD has patented a safety syst
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A Chinese company has developed a system to detect animals hiding under a car. Chinese company BYD has patented a safety system that checks the space underneath a car before driving.

Clever!
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This photo of two rice cookers has unexpectedly become one of the most popular photos on the internet in recent days.
This photo of two rice cookers has unexpectedly become one of the most popular photos on the internet in recent days.

Clever!
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Clever!
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Claude discovered a hidden space of "conscious" thoughts. However, no one designed it; it just appeared there. Anthropic disc
Claude discovered a hidden space of "conscious" thoughts. However, no one designed it; it just appeared there. Anthropic discovered that within the model there is a small set of neural states that act as a kind of working memory. The researchers called it J-space and describe it as an internal space where what the model is currently "thinking" about is stored but not communicated to the user. Until now, it was thought that AI simply predicted the next word. Now it turns out that before responding, it develops internal representations that it uses for reasoning. Furthermore, if the J-space is suppressed, the model dramatically loses its ability to reason multi-steply, accurately retell information, and perform complex planning.

Clever!
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Clever!
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Made a mess? Clean up after yourself!

Clever!
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Clever!
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What a pity there's no one to have coffee with. 🥲 I'll have to drink wine again! 😜
What a pity there's no one to have coffee with. 🥲 I'll have to drink wine again! 😜