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Подробная инструкция KRAKEN по безопасному входу и использованию:
Подготовка браузера для доступа к KRAKEN.
Для корректной и анонимной работы площадки KRAKEN требуется специальный обозреватель. Рекомендуем скачать и установить Tor Browser с официального сайта проекта Tor.
Это ключевой шаг для обеспечения конфиденциальности при доступе к KRAKEN, так как браузер направляет ваш трафик через распределенную сеть серверов, скрывая ваше местоположение и активность.


Запуск и подключение к сети для KRAKEN. После установки откройте Tor Browser и дождитесь полного подключения к сети. Иконка в верхней части окна браузера покажет статус соединения.
Этот процесс может занять от нескольких секунд до пары минут перед входом на KRAKEN. Убедитесь, что подключение установлено успешно.
Переход на сайт KRAKEN. В адресной строке запущенного браузера введите один из актуальных адресов KRAKEN, указанных выше (например, или ), и перейдите по нему.

Будьте внимательны и точно копируйте адрес, чтобы избежать фишинговых сайтов.
Регистрация или авторизация на KRAKEN. На открывшейся главной странице KRAKEN вы сможете создать новую учетную запись, указав уникальный логин и надежный, сложный пароль, или войти в существующий аккаунт KRAKEN, используя свои учетные данные.
Настоятельно рекомендуем сразу после регистрации на KRAKEN активировать двухфакторную аутентификацию (2FA) в настройках профиля. Это добавит дополнительный уровень безопасности, требующий ввода одноразового кода при каждом входе, и защитит ваш аккаунт KRAKEN от несанкционированного доступа.

Abstract:General-goal LLMs are increasingly functioning as mental well being infrastructure on account of gaps in care left by provider shortages, insuf***ient insurance protection, social isolation, and stigma around formal help-seeking.
This shift poses a distinct drawback for AI ethics: systems neither designed nor governed as care applied sciences are being used as such, whereas their dominant design incentives optimize for engagement rather than person properly-being. We present findings from a qualitative, longitudinal study with 18 US-primarily based members who use basic-function LLMs for socioemotional ***st and participated in one or more of our research phases, including initial interviews, a four-week diary examine, focus groups, and exit interviews.
Participants turned to LLMs because different forms of ***st have been unavailable, unaffordable, socially costly, or inadequate. As they continued to use these techniques, design options comparable to anthropomorphic cues, default validation, persistent responsiveness, and weak disengagement mechanisms shaped their ongoing reliance.

Participants described meaningful ***st alongside dependency, epistemic distortion through one-sided validation, privateness expectations without corresponding authorized safety, and continued use despite awareness of those dangers. We argue these dynamics replicate a structurally unfair tradeoff: customers settle for risks because help is otherwise absent, whereas available programs are optimized to deepen engagement and lack care-based mostly accountability.
The paper makes three contributions: it traces the arc by way of which LLMs develop into care infrastructure and identifies distinct ethical tensions at every stage, shifts evaluation from turn-based mostly exchanges to longitudinal trajectories of use, and argues that accountability belongs at the design and incentive conditions through which these programs change into care infrastructure slightly than at the output or disaster-response layer.

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