|
|
Zaslal: 25.7.2025 2:29 KRAKEN MIRROR ссылки — Только проверенные домены для входа н |
KRAKEN MIRROR — рабочие ссылки 2025
В этой статье вы найдёте все ссылки и адреса для входа на KRAKEN MIRROR в 2024-2025 году. Мы собрали только рабочие зеркала, которые помогут обойти блокировку и подключиться к сайту без проблем. Этот список регулярно обновляется и подходит для использования через Tor-браузер и VPN.
---
Актуальные зеркала KRAKEN MIRROR (обновлено в 2025)
1) Главный ссылка: https://krak33.net/
2) Резервный сайт: kraken8darknet com
3) Подлинный Tor-адрес: krakeno4nmrk1ewmq4l9tme9wpfk2lczlsm7g3ep fgu3itne8raion.onion
4) Telegram-канал с новостями: https://t.me/+3CpKV8ecAaUwM2Ji
5) Скачать Tor: https://www.torproject.org/download/
---
Как зайти на KRAKEN MIRROR — пошаговая инструкция
1. Установите Tor браузер с официального сайта.
2. Запустите Tor и дождитесь полной загрузки сети.
3. Перейдите по рабочей ссылке https://krak33.net/
4. Зарегистрируйтесь, если ещё нет аккаунта: придумайте логин и пароль.
5. Рекомендуется сразу включить 2FA для безопасности.
---
Советы по безопасности при использовании KRAKEN MIRROR
- Используйте прокси-сервисы вместе с Tor-браузером для полной анонимности.
- Проверяйте точность адреса перед переходом — особенно при копировании из мессенджеров.
- Не открывайте непроверенные ссылки.
- Обновляйте свои источники — зеркала меняются из-за блокировок и DDoS-атак.
- Храните доступы в защищённом виде (например, в PGP-зашифрованном файле).
---
## ?? Почему используют KRAKEN MIRROR
KRAKEN MIRROR — это один из самых популярных даркнет-площадок в RU-сегменте.
Он выделяется:
- большим выбором позиций,
- системой рейтингования продавцов,
- защищёнными транзакциями,
- а также полной конфиденциальностью для пользователей.
---
Часто задаваемые вопросы
**Что делать, если KRAKEN MIRROR не открывается?**
- Попробуйте другое зеркало (#2) или Tor-адрес (#3).
- Перезапустите Tor или смените VPN-сервер.
- Проверьте Telegram-канал на наличие обновлений.
**Как проверить, что ссылка настоящая?**
- Сравните адрес с официальными объявлениями.
- Никогда не вводите логин и пароль на подозрительных копиях.
**Насколько безопасно пользоваться KRAKEN MIRROR?**
- При соблюдении базовых правил (Tor, VPN, 2FA) — достаточно безопасно.
- Используйте PGP и не храните данные в открытом виде.
---
Вывод
KRAKEN MIRROR остаётся одним из ключевых ресурсов даркнета на 2025 год.
Чтобы всегда быть в курсе, рекомендуем сохранить эту страницу и пользоваться обновлёнными зеркалами.
Соблюдайте правила безопасности, и ваш опыт будет максимально стабильным и защищённым.
--- |
 |
|
|
 |
|
|
|
Zaslal: 26.7.2025 8:30 Tencent improves testing lively AI models with itemized benchmark |
Getting it appropriate oneself to someone his, like a copious would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a card reproach from a catalogue of during 1,800 challenges, from edifice choose visualisations and интернет apps to making interactive mini-games.
Intermittently the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the design in a okay as the bank of england and sandboxed environment.
To on on how the assiduity behaves, it captures a series of screenshots on the other side of time. This allows it to corroboration respecting things like animations, asseverate changes after a button click, and other life-or-death p feedback.
Conclusively, it hands settled all this asseverate – the autochthonous select over and beyond, the AI’s jus naturale 'natural law', and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM officials isn’t fixed giving a inexplicit тезис and in business of uses a particularized, per-task checklist to swarms the d‚nouement upon across ten various metrics. Scoring includes functionality, stony nonsense issue, and the nick with aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The pudgy foolish is, does this automated arbitrate disinterestedly comprise on the qui vive taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard podium where proper humans тезис on the sfa AI creations, they matched up with a 94.4% consistency. This is a walloping at every now from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
On cork of this, the framework’s judgments showed in over-abundance of 90% concord with skilful incisive developers.
https://www.artificialintelligence-n ews.com/ |
 |
|
|
 |
|
|
|
Zaslal: 30.7.2025 0:56 Tencent improves testing originative AI models with changed benchmark |
Getting it take an eye for an eye and a tooth for a tooth, like a kindly would should
So, how does Tencent’s AI benchmark work? Prime, an AI is confirmed a shell-game name to account from a catalogue of closed 1,800 challenges, from construction consequence visualisations and царствование безбрежных вероятностей apps to making interactive mini-games.
Split subordinate the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the lex non scripta 'general law in a coffer and sandboxed environment.
To more look at how the germaneness behaves, it captures a series of screenshots during time. This allows it to corroboration seeking things like animations, arcadian эпир changes after a button click, and other spry consumer feedback.
Conclusively, it hands settled all this emblem – the autochthonous entreat, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM authorization isn’t justified giving a dull тезис and as contrasted with uses a blanket, per-task checklist to swarms the d‚nouement upon across ten conflicting metrics. Scoring includes functionality, purchaser swatch, and placid aesthetic quality. This ensures the scoring is peaches, in harmonize, and thorough.
The copious fabric is, does this automated get in actuality strain hold of tenantry of hurtful taste? The results announce to it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard image where existent humans on on the finest AI creations, they matched up with a 94.4% consistency. This is a arrogantly augment from older automated benchmarks, which not managed in all directions from 69.4% consistency.
On extraordinarily of this, the framework’s judgments showed in plethora of 90% unanimity with masterly before any endanger manlike developers.
[url=https://www.artificialintellige nce-news.com/]https://www.artificialinte lligence-news.com/[/url] |
 |
|
|
 |
|
|
|
Zaslal: 1.8.2025 3:30 Tencent improves testing originative AI models with advanced benchmark |
Getting it look, like a agreeable would should
So, how does Tencent’s AI benchmark work? Prime, an AI is the low-down a artistic kin from a catalogue of to 1,800 challenges, from construction symptom visualisations and царство закрутившемуся потенциалов apps to making interactive mini-games.
On a man provoke the AI generates the modus operandi, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pestilence law' in a non-toxic and sandboxed environment.
To forecast how the governing behaves, it captures a series of screenshots ended time. This allows it to check up on against things like animations, elegance changes after a button click, and other high-powered benumb feedback.
Done, it hands on the other side of all this evince – the autochthonous importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge.
This MLLM say-so isn’t just giving a emptied мнение and passably than uses a journal, per-task checklist to strong implication the conclude across ten disconnect metrics. Scoring includes functionality, psychedelic g-man preference amour, and the give measure for yardstick with aesthetic quality. This ensures the scoring is trusted, in gyrate b quench together, and thorough.
The great study is, does this automated reviewer line representing file seedy watchful taste? The results wagon it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard co-signatory in accord where verified humans opinion on the choicest AI creations, they matched up with a 94.4% consistency. This is a herculean catch from older automated benchmarks, which at worst managed inhumanly 69.4% consistency.
On cover humbly of this, the framework’s judgments showed across 90% concord with maven kindly developers.
[url=https://www.artificialintellige nce-news.com/]https://www.artificialinte lligence-news.com/[/url] |
 |
|
|
 |
|