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Мы умеем заменять мебель на фото, а чего добились вы? Начинаем автоген-челлендж

Генерация разнообразного контента с помощью ИИ продолжает быть на пике популярности. На смену картинкам по описанию пришли музыкальные композиции на основе текста и психоделические видео, на которых у людей меняется не только геометрия, но и вообще всё. Однако это лишь вершина айсберга. We need to go deeper. Хабру нужны не смешные нейро(де)генеративные мемы, а статьи от людей, которые работают с генеративным ИИ профессионально и на острие современных технологий пытаются сделать нечто крутое и полезное.

Привет, меня зовут Алексей Луговой, я занимаюсь Computer Vision в Самолете, и сегодня объявляю о старте автоген-челленджа. Этот челлендж — совместная инициатива Хабра и Самолета. Про призы лучшим авторам и другие детали расскажу подробнее в конце статьи, а начну с личного примера — расскажу, как мы научились подставлять другую мебель на фото интерьера.

Я уже рассказывал про наше решение для дизайна интерьеров на лету. Сегодня речь пойдёт о более узкой задаче: есть фото интерьера, и клиент спрашивает — а как бы смотрелось, если бы вместо вот этого дивана стоял другой? Возможность ответить на такой вопрос не расплывчатой фразой, а фотореалистичным изображением — это и удовлетворение клиента, и вау-эффект, и просто красиво. Сегодня я расскажу, какими средствами мы этого добились.

Этап 1. Как понять, что заменить

Какой бы ни была наша модель, ясно, что на вход она в той или иной форме будет получать три вещи:

фото интерьера,
указание, что нужно заменить,
указание, на что нужно заменить.

С первым пунктом всё понятно (на самом деле нет, но об этом позже), так что начнём со второго. Как именно модель поймёт, что замене подлежит именно вот этот жёлтый диван?

Самый простой (с точки зрения модели) вариант — если ей на вход дадут маску со всеми пикселями, подлежащими замене. Это годится для лабораторной работы, но не для продукта. Пока сотрудник Самолета будет пипеткой выбирать пиксели, клиент заскучает и уйдёт. Значит, этот момент нужно автоматизировать. С точки зрения UX хорошо, если можно будет просто выбрать «Диван» из выпадающего списка.

Здесь мы встали на распутье. Можно обучить свою модель, чётко под свой кейс. Она будет в совершенстве понимать специфику мебели, причём именно нашей мебели, и, наверное, это поможет ей круто справляться с задачей. Но своя модель — это долго. Сбор и разметка данных, дообучение — это всё очень увеличивает тайм-ту-маркет.

Другой путь — взять какое-то решение из коробки и допилить под наши нужды. Возможно, такая нейросетка будет менее тонко чувствовать нюансы диванов. А возможно, и наоборот. Всё-таки SOTA-решения делались умными людьми, которые вложили в них много сил и машинного времени. Имеет смысл хотя бы попробовать, собрать MVP из чего бог послал, а дальше смотреть на метрики и решать, устраивает ли нас качество.

Поразмыслив, мы усмирили гордость и пошли вторым путём.

Этап 2. Детекция

Задача поиска пикселей, которые необходимо заменить, на практике декомпозируется в две — детекция и сегментация. Детекция — это когда объект локализуется на изображении и для него находится ограничивающий прямоугольник (bbox). Большинство пикселей ббокса не относится к объекту, поэтому нужен следующий этап — сегментация, на котором получается пиксельная маска.

Для детекции мы взяли Grounding DINO — SOTA-модель, подходящую для всего. Она понимает промпты на естественном языке и ищет по ним любые объекты в пределах своего понимания. Модель активно развивается, не так давно ребята из IDEA выкатили версию 1.5. Для начала мы взяли готовую имплементацию с HuggingFace, без какого-либо дообучения. Спойлер: этого оказалось достаточно.

Вот так Grounding DINO находит диван:

text_prompt = ‘couch’
box_threshold=0.25
text_threshold=0.25

Код целиком

А вот так, например, тумбу:

text_prompt = ‘nightstand’’
box_threshold=0.25
text_threshold=0.25

Есть нюанс — чтобы хорошо генерировались ббоксы, нужно правильно задавать трешхолды (пороговые значения уверенности модели). Слишком высокий трешхолд — модель засомневается в себе и вообще не выдаст ббокс. Слишком низкий — и она выдаст их десяток на всё хотя бы отдалённо похожее. Обычно всё хорошо работает из коробки, но если клиент приносит «проблемное» фото (низкое качество, неудачный ракурс, много мелких объектов), то высока вероятность, что возникнет одна из двух проблем, описанных выше.

Можно разруливать такие кейсы с помощью «естественных нейросетей»: сказать сотруднику, чтобы в таких случаях он просил у клиента другое фото. Но снять другое фото — это достаточно «дорогая» операция. И для клиента (время, усилия), и для нас (вау-эффект испорчен, клиент недоволен).

Есть несколько вариантов, как решить проблему на стороне софта:

Автоподбор трешхолдов в случае неудачной сегментации
Поднять качество фото с помощью той или иной технологии апскейла (возможно, ещё одной генеративной моделью)
Или всё-таки вернуться к варианту 1 и обучить/дообучить свою, более специализированную модель

Пока что мы в процессе исследования, будем сравнивать и выбирать лучшее.

Этап 3. Сегментация

Итак, у нас есть bbox, и нам нужна пиксельная маска. На этом шаге мы использовали Segment Anything Model (SAM) — ещё одну опенсорсную SOTA-модель. Точнее, на тот момент она была SOTA, сейчас вышла вторая версия, мы задумываемся о переходе, но пока что не переходили. SAM умеет принимать на вход разные вещи, в том числе bbox, а на выходе даёт пиксельную маску.

Скрестить Grounding DINO и SAM — это не наше ноу-хау. Собственно, даже в репозитории Groundind DINO есть ссылка на связку Grounded-SAM. Мы не стали брать готовую связку, чтобы иметь больше контроля над компонентами, но концептуально делаем то же самое.

Пример кода для сегментации.

В итоге получается что-то такое:

SAM чертовски хорош, но есть нюансы. В каких случаях всё пойдёт не так?

Если у объекта сложные, нечёткие или размазанные границы, у модели могут возникнуть трудности с их точным выделением.
SAM может запутаться в плотной сцене со множеством объектов (например, стол, на котором ложки-вилки-тарелки).
Маленькие объекты — их выделять труднее.
Плохое качество изображения..
Не вполне удачно сгенерировался bbox на предыдущем этапе.

Решения этих проблем в основном очевидны. Плохое изображение улучшить, маленькие объекты увеличить, и т.п.

Самая интересная проблема — это сложная сцена. Возьмем стол с посудой, или, допустим, диван с подушками. SAM может решить, что подушки — это отдельные объекты, не связанные с диваном, и на их месте останутся дырки в маске. В каком-то смысле SAM даже прав — однако нам от этого не легче, нам нужен другой результат.

Вариантов решения может быть несколько:

Задетектить всю сцену полностью — тогда будут ббоксы и для дивана, и для подушек, и для пледа, вообще для всего. Потом отдать SAM кучу ббоксов, которые географически связаны с основным, и пусть он сегментирует каждый. Однако детекция всего — грубое и ресурсоёмкое решение.
Поиграть с настройками трешхолда для определения маски (параметр mask_threshold в нашем примере кода). Если придать SAM больше «уверенности», он может согласиться, что подушки — часть дивана.
Сегментировать всё, Наташа, вообще всё — использовать опцию SAM «segment everything». Когда ему не нужно задавать никаких промптов, он просто разбивает на сегменты изображение целиком. В мире, где вычисления происходят бесплатно и мгновенно, это могло бы быть лучшей опцией, на практике это неоптимально.
Можно оптимизировать предыдущий вариант, сегментируя только то, что рядом с ббоксом. Заодно так можно компенсировать недостаточно точный ббокс — если какая-то часть объекта не влезла на этапе детекции.
Постобработка маски (об этом ниже).

Здесь мы опять же в фазе ресёрча, обдумываем эти варианты, а также с десяток других. Чтобы вы понимали, перечисленные проблемы — это краевые случаи, которые встречаются не так уж часто. Наш MVP уже достаточно хорош, чтобы работать в большей части случаев и иметь бизнес-ценность. Но пространство для его улучшения безгранично.

Этап 4. Постобработка маски

Как нетрудно заметить, маска, полученная на предыдущем этапе, далека от идеала — у неё неровная форма, отдельные пиксели маски расположены там, где их вроде бы быть не должно, другие наоборот, отсутствуют там, где должны быть. Маска приводится к более человеческому виду с помощью морфологической корректировки.

Например, вот таким кодом.

С помощью эрозии удаляются отдельно стоящие белые пиксели, затем с помощью дилатации закрашиваются неуместные чёрные. В итоге получается уже более узнаваемый силуэт ~~покемона~~ дивана.

Потом можно сравнить маску с оригинальным изображением, проверить, что она хорошо покрывает диван, и при необходимости подкорректировать параметры постобработки.

Кстати, на этом этапе мы можем не только заменить предмет на фото, но и удалить его совсем с помощью LaMa. Так можно легко убрать с картинки мусор или мелкие неугодные вещи. Чем больше предмет, тем сложнее его «затереть» — нейронка не может представить, что находится за этим объектом.

Например, тут мы убрали телевизор:

Этап 5. Генерация конечного результата

Итак, у нас есть оригинальное фото и маска объекта на нём. Теперь мы готовы к генерации. Вроде бы. Берём модель для инпейнтинга (например, эту), даём ей фото, маску и промпт — и вуаля, мы великолепны.

Пример кода.

Было:

Стало:

Однако дьявол кроется в деталях, и если приглядеться, начинаешь эти детали замечать. Дело в том, что при инпейнтинге по маске изображение перегенерируется целиком (как минимум, этап кодера/декодера), и при этом неизбежно происходят хоть и небольшие, но изменения по сравнению с исходником. Появляются шумы, замыливание (например, обратите внимание на вотермарку). Вроде бы и не критично, но всё равно неприятно.

Ещё одна проблема такого подхода — у генеративных моделей бывают ограничения по размеру изображения. Например, наша модель требует, чтобы высота и ширина изображения были кратны восьми. Вроде и мелочь, можно слегка растянуть или сжать изображение, но такие трюки качества тоже не прибавят.

Можно пойти другим путём — генерировать не картинку целиком, а лишь ту её часть, где расположен целевой объект. Выбрать фрагмент подходящего размера, вырезать его, сгенерировать новый и вставить на то же место.

Здесь главный нюанс — выбор фрагмента. Он должен иметь размер, оптимальный для генеративной модели, содержать в себе нужный объект и не выходить за границы оригинала. Тут уже задача не машинлёрнинговая, а вполне себе классическая алгоритмическая.

Что касается оптимального размера — мы в итоге выбрали stable-diffusion-2-inpainting, которая обучалась на изображениях 512х512. Модель умеет и в другие размеры, но согласно совету разработчиков для наилучшего качества лучше придерживаться этих.

Вырезаем фрагмент нужного размера у изображения и маски

Генерируем фрагмент

Вставляем фрагмент обратно на фото

Конечно, результат тоже не идеальный. Если приглядеться, можно увидеть, как гравитационное поле дивана искривило пространство в области тумбочки. Тут стоит скорректировать морфологические преобразования маски, или, возможно, потюнить гиперпараметры модели во время инференса. Но даже с первого захода вышло достойно.

Этап 6. Дообучение на своих данных

Итак, мы научились вместо какого-то жёлтого дивана вставлять какой-то красный диван. Это круто? Как шоукейс генеративных технологий — безусловно да. Как продукт — не совсем. Нам нужно показать не просто красный диван, а конкретный красный диван из нашего каталога — и для вау-эффекта, и чтобы можно было этот самый диван немедленно продать.

К сожалению, наша мебель недостаточно знаменита, чтобы Stable Diffusion всё знала про неё «из коробки». Можно попытаться хорошо описать его промптами, но это ненадёжно. А значит, тут нас коробочное решение уже не устраивает, и придётся не играть в конструктор, а реально заморочиться.

Вообще diffusion-based модели огромные и неповоротливые. Чтобы дообучать такую «в лоб», надо быть очень богатым и очень терпеливым человеком, — времени и ресурсов уйдёт прорва. Однако мы не первые, у кого возникло желание дообучить большую генеративную модель. Комьюнити уже придумало несколько легковесных методов. Например, можно использовать адаптеры типа LoRa — добавить к модели сверху ещё слой и обучать только его. Альтернативно можно «хакнуть» обучение, и за малое количество проходов на маленькой выборке добиться оверфита по этой выборке (обычно оверфит — это плохо, но в нашем случае это как раз то, что нужно). Это метод dreambooth, достаточно ресурсоёмкий по сравнению с LoRa, но при этом он обещает лучшее качество. Мы решили не экономить на вау-эффекте и использовать dreambooth.

Генеративки на хайпе, комьюнити большое, опенсорс-модели творят чудеса, поэтому заходим на гитхаб диффузерс и выбираем любой скрипт обучения под нашу задачу и версию модели. Некоторые скрипты могут быть нерабочие (добро пожаловать в Issues проекта), иногда даже можно похардкодить и скорректировать скрипты вручную под свои хотелки. Разумеется, нужно понимать что делаешь, что такое prior loss и зачем нужны class images — иначе чудо не произойдёт.

В итоге мы взяли вот такое решение, оно показалось наиболее удобным и масштабируемым (было меньше ошибок при попытке его завести).

Это картинки, на которых дообучали модель:

А вот что имеем на выходе:

Собирать ИИ-многоножку из нейросетей — это весело и увлекательно, но не стоит забывать про такую скучную вещь, как подготовка данных. На этом этапе можно выстрелить себе в ногу, например, не добавив в выборку нужный ракурс. У Stable Diffusion может не хватить воображения, чтобы представить, как диван будет выглядеть сзади.

Кроме того, непонятно, как решение с оверфитом будет работать, когда в каталоге станет не пять диванов, а тысяча. Конечно, у нас есть идеи — регулирование промптами, отбор наиболее репрезентативной мебели, подключение других инструментов, — но в целом тут ещё непаханное поле для ресёрча.

Демку проекта целиком можете посмотреть у меня на гитхабе.

Эта статья — пример того, что мы хотели бы видеть на автоген-челлендже. Нам нужны не обзоры и не научпоп, а технически насыщенные материалы от тех, кто имеет непосредственное отношение к разработке в области генеративного ИИ. Лишь благодаря технохардкору Хабр — торт.

А теперь подробнее про условия.

Челлендж будет идти 6 недель с момента публикации этой статьи
К участию допускаются статьи и посты в личных и корпоративных блогах, у которых выставлен специальный тег — автоген-челлендж.
Обратите внимание: в челлендже могут участвовать не только статьи, но и более короткие посты. Если вам есть что сказать коротко и по делу, этого может быть достаточно

В центре внимания — генеративный ИИ, большие языковые модели, ИИ-агенты. Применение в реальных задачах, настройка инфраструктуры, обучение и тестирование.
Приветствуются экспертные статьи и посты, основанные на личном опыте разработки решений на базе генеративного ИИ. Рерайты, дайджесты и другие вторичные тексты к участию не допускаются

«Но зачем нам соблюдать какие-то условия?» — спросите вы. А затем, чтобы получить призы. Из пятерки статей и постов-участников с самым высоким рейтингом эксперты Самолета выберут от одного до трёх победителей. Этим счастливчикам достанутся информационные гранты от Хабра, которые они смогут использовать для продвижения своего проекта.

1 место: блог по тарифу «Бизнес» на полгода, истории на Хабре и пост в социальных сетях о вашем кейсе.
2 место: блог по тарифу «Бизнес» на полгода, пост в социальных сетях о вашем кейсе.
3 место: блог по тарифу «Бизнес» на полгода.

Кроме того, все победители получат мерч от Самолета — вот такой:

На этом всё. Авторы, жгите автогеном, буду ждать ваших крутых статей.

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15 авг. 2024 г.

07.09.23 16:24 CherryTeam

Cherry Team atlyginimų skaičiavimo programa yra labai naudingas įrankis įmonėms, kai reikia efektyviai valdyti ir skaičiuoti darbuotojų atlyginimus. Ši programinė įranga, turinti išsamias funkcijas ir patogią naudotojo sąsają, suteikia daug privalumų, kurie padeda supaprastinti darbo užmokesčio skaičiavimo procesus ir pagerinti finansų valdymą. Štai keletas pagrindinių priežasčių, kodėl Cherry Team atlyginimų skaičiavimo programa yra naudinga įmonėms: Automatizuoti ir tikslūs skaičiavimai: Atlyginimų skaičiavimai rankiniu būdu gali būti klaidingi ir reikalauti daug laiko. Programinė įranga Cherry Team automatizuoja visą atlyginimų skaičiavimo procesą, todėl nebereikia atlikti skaičiavimų rankiniu būdu ir sumažėja klaidų rizika. Tiksliai apskaičiuodama atlyginimus, įskaitant tokius veiksnius, kaip pagrindinis atlyginimas, viršvalandžiai, premijos, išskaitos ir mokesčiai, programa užtikrina tikslius ir be klaidų darbo užmokesčio skaičiavimo rezultatus. Sutaupoma laiko ir išlaidų: Darbo užmokesčio valdymas gali būti daug darbo jėgos reikalaujanti užduotis, reikalaujanti daug laiko ir išteklių. Programa Cherry Team supaprastina ir pagreitina darbo užmokesčio skaičiavimo procesą, nes automatizuoja skaičiavimus, generuoja darbo užmokesčio žiniaraščius ir tvarko išskaičiuojamus mokesčius. Šis automatizavimas padeda įmonėms sutaupyti daug laiko ir pastangų, todėl žmogiškųjų išteklių ir finansų komandos gali sutelkti dėmesį į strategiškai svarbesnę veiklą. Be to, racionalizuodamos darbo užmokesčio operacijas, įmonės gali sumažinti administracines išlaidas, susijusias su rankiniu darbo užmokesčio tvarkymu. Mokesčių ir darbo teisės aktų laikymasis: Įmonėms labai svarbu laikytis mokesčių ir darbo teisės aktų, kad išvengtų baudų ir teisinių problemų. Programinė įranga Cherry Team seka besikeičiančius mokesčių įstatymus ir darbo reglamentus, užtikrindama tikslius skaičiavimus ir teisinių reikalavimų laikymąsi. Programa gali dirbti su sudėtingais mokesčių scenarijais, pavyzdžiui, keliomis mokesčių grupėmis ir įvairių rūšių atskaitymais, todėl užtikrina atitiktį reikalavimams ir kartu sumažina klaidų riziką. Ataskaitų rengimas ir analizė: Programa Cherry Team siūlo patikimas ataskaitų teikimo ir analizės galimybes, suteikiančias įmonėms vertingų įžvalgų apie darbo užmokesčio duomenis. Ji gali generuoti ataskaitas apie įvairius aspektus, pavyzdžiui, darbo užmokesčio paskirstymą, išskaičiuojamus mokesčius ir darbo sąnaudas. Šios ataskaitos leidžia įmonėms analizuoti darbo užmokesčio tendencijas, nustatyti tobulintinas sritis ir priimti pagrįstus finansinius sprendimus. Pasinaudodamos duomenimis pagrįstomis įžvalgomis, įmonės gali optimizuoti savo darbo užmokesčio strategijas ir veiksmingai kontroliuoti išlaidas. Integracija su kitomis sistemomis: Cherry Team programinė įranga dažnai sklandžiai integruojama su kitomis personalo ir apskaitos sistemomis. Tokia integracija leidžia automatiškai perkelti atitinkamus duomenis, pavyzdžiui, informaciją apie darbuotojus ir finansinius įrašus, todėl nebereikia dubliuoti duomenų. Supaprastintas duomenų srautas tarp sistemų padidina bendrą efektyvumą ir sumažina duomenų klaidų ar neatitikimų riziką. Cherry Team atlyginimų apskaičiavimo programa įmonėms teikia didelę naudą - automatiniai ir tikslūs skaičiavimai, laiko ir sąnaudų taupymas, atitiktis mokesčių ir darbo teisės aktų reikalavimams, ataskaitų teikimo ir analizės galimybės bei integracija su kitomis sistemomis. Naudodamos šią programinę įrangą įmonės gali supaprastinti darbo užmokesčio skaičiavimo procesus, užtikrinti tikslumą ir atitiktį reikalavimams, padidinti darbuotojų pasitenkinimą ir gauti vertingų įžvalgų apie savo finansinius duomenis. Programa Cherry Team pasirodo esanti nepakeičiamas įrankis įmonėms, siekiančioms efektyviai ir veiksmingai valdyti darbo užmokestį. https://cherryteam.lt/lt/
08.10.23 01:30 davec8080

The "Shibarium for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH. The Plot Thickens. Someone posted the actual transactions!!!! https://bscscan.com/tx/0xa846ea0367c89c3f0bbfcc221cceea4c90d8f56ead2eb479d4cee41c75e02c97 It seems the article is true!!!! And it's also FUD. Let me explain. Check this link: https://bscscan.com/token/0x5a752c9fe3520522ea88f37a41c3ddd97c022c2f So there really is a "Shibarium" token. And somebody did a rug pull with it. CONFIRMED. But the "Shibarium" token for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH.
24.06.24 04:31 tashandiarisha

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26.06.24 18:46 Jacobethannn098

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26.06.24 18:46 Jacobethannn098

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04.07.24 04:49 ZionNaomi

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13.07.24 21:13 michaelharrell825

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17.07.24 02:26 thompsonrickey

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18.07.24 20:13 austinagastya

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27.08.24 12:50 James889900

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27.08.24 13:06 James889900

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02.09.24 20:24 [email protected]

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06.09.24 01:35 Celinagarcia

HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.
06.09.24 01:44 Celinagarcia

HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.
16.09.24 00:10 marcusaustin

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16.09.24 00:11 marcusaustin

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23.09.24 18:56 matthewshimself

At first, I was admittedly skeptical about Worldcoin (ref: https://worldcoin.org/blog/worldcoin/this-is-worldcoin-video-explainer-series), particularly around the use of biometric data and the WLD token as a reward mechanism for it. However, after following the project closer, I’ve come to appreciate the broader vision and see the value in the underlying tech behind it. The concept of Proof of Personhood (ref: https://worldcoin.org/blog/worldcoin/proof-of-personhood-what-it-is-why-its-needed) has definitely caught my attention, and does seem like a crucial step towards tackling growing issues like bots, deepfakes, and identity fraud. Sam Altman’s vision is nothing short of ambitious, but I do think he & Alex Blania have the chops to realize it as mainstay in the global economy.
01.10.24 14:54 Sinewclaudia

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02.10.24 22:27 Emily Hunter

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
18.10.24 09:34 freidatollerud

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31.10.24 00:13 ytre89

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
02.11.24 14:44 diannamendoza732

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12.11.24 00:50 TERESA

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17.11.24 09:31 Vivianlocke223

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19.11.24 03:06 [email protected]

My entire existence fell apart when a malevolent hacker recently gained access to my online accounts. I felt violated and extremely uneasy after discovering that the digital platforms I depended on for communication, employment, and finances had been compromised. Regaining control and restoring my digital security was an overwhelming task in the immediate aftermath. To help me navigate the difficult process of recovering my accounts and getting my peace of mind back, TRUST GEEKS HACK EXPERT came into my life as a ray of hope. They immediately put their highly skilled professionals to work, thoroughly examining the vulnerability and methodically preventing unwanted access. They guided me through each stage soothingly, explaining what was occurring and why, so I never felt lost or alone. They communicated with service providers to restore my legitimate access while skillfully navigating the complex labyrinth of account recovery procedures. My digital footprint was cleaned and strengthened against future attacks thanks to their equally amazing ability to remove any remaining evidence of the hacker's presence. However, TRUST GEEKS HACK EXPERT actual worth went beyond its technical aspects. They offered constant emotional support during the ordeal, understanding my fragility and sense of violation. My tense nerves were calmed by their comforting presence and kind comments, which served as a reminder that I wasn't alone in this struggle. With their help, I was able to reestablish my sense of security and control, which enabled me to return my attention to the significant areas of my life that had been upended. Ultimately, TRUST GEEKS HACK EXPERT all-encompassing strategy not only recovered my online accounts but also my general peace of mind, which is a priceless result for which I am incredibly appreciative of their knowledge and kindness. Make the approach and send a message to TRUST GEEKS HACK EXPERT Via Web site <> www://trustgeekshackexpert.com/-- E>mail: Trustgeekshackexpert(At)fastservice..com -- TeleGram,<> Trustgeekshackexpert
19.11.24 03:07 [email protected]

My entire existence fell apart when a malevolent hacker recently gained access to my online accounts. I felt violated and extremely uneasy after discovering that the digital platforms I depended on for communication, employment, and finances had been compromised. Regaining control and restoring my digital security was an overwhelming task in the immediate aftermath. To help me navigate the difficult process of recovering my accounts and getting my peace of mind back, TRUST GEEKS HACK EXPERT came into my life as a ray of hope. They immediately put their highly skilled professionals to work, thoroughly examining the vulnerability and methodically preventing unwanted access. They guided me through each stage soothingly, explaining what was occurring and why, so I never felt lost or alone. They communicated with service providers to restore my legitimate access while skillfully navigating the complex labyrinth of account recovery procedures. My digital footprint was cleaned and strengthened against future attacks thanks to their equally amazing ability to remove any remaining evidence of the hacker's presence. However, TRUST GEEKS HACK EXPERT actual worth went beyond its technical aspects. They offered constant emotional support during the ordeal, understanding my fragility and sense of violation. My tense nerves were calmed by their comforting presence and kind comments, which served as a reminder that I wasn't alone in this struggle. With their help, I was able to reestablish my sense of security and control, which enabled me to return my attention to the significant areas of my life that had been upended. Ultimately, TRUST GEEKS HACK EXPERT all-encompassing strategy not only recovered my online accounts but also my general peace of mind, which is a priceless result for which I am incredibly appreciative of their knowledge and kindness. Make the approach and send a message to TRUST GEEKS HACK EXPERT Via Web site <> www://trustgeekshackexpert.com/-- E>mail: Trustgeekshackexpert(At)fastservice..com -- TeleGram,<> Trustgeekshackexpert
21.11.24 04:14 ronaldandre617

Being a parent is great until your toddler figures out how to use your devices. One afternoon, I left my phone unattended for just a few minutes rookie mistake of the century. I thought I’d take a quick break, but little did I know that my curious little genius was about to embark on a digital adventure. By the time I came back, I was greeted by two shocking revelations: my toddler had somehow managed to buy a $5 dinosaur toy online and, even more alarmingly, had locked me out of my cryptocurrency wallet holding a hefty $75,000. Yes, you heard that right a dinosaur toy was the least of my worries! At first, I laughed it off. I mean, what toddler doesn’t have a penchant for expensive toys? But then reality set in. I stared at my phone in disbelief, desperately trying to guess whatever random string of gibberish my toddler had typed as a new password. Was it “dinosaur”? Or perhaps “sippy cup”? I felt like I was in a bizarre game of Password Gone Wrong. Every attempt led to failure, and soon the laughter faded, replaced by sheer panic. I was in way over my head, and my heart raced as the countdown of time ticked away. That’s when I decided to take action and turned to Digital Tech Guard Recovery, hoping they could solve the mystery that was my toddler’s handiwork. I explained my predicament, half-expecting them to chuckle at my misfortune, but they were incredibly professional and empathetic. Their confidence put me at ease, and I knew I was in good hands. Contact With WhatsApp: +1 (443) 859 - 2886 Email digital tech guard . com Telegram: digital tech guard recovery . com website link :: https : // digital tech guard . com Their team took on the challenge like pros, employing their advanced techniques to unlock my wallet with a level of skill I can only describe as magical. As I paced around, anxiously waiting for updates, I imagined my toddler inadvertently locking away my life savings forever. But lo and behold, it didn’t take long for Digital Tech Guard Recovery to work their magic. Not only did they recover the $75,000, but they also gave me invaluable tips on securing my wallet better like not leaving it accessible to tiny fingers! Who knew parenting could lead to such dramatic situations? Crisis averted, and I learned my lesson: always keep my devices out of reach of little explorers. If you ever find yourself in a similar predicament whether it’s tech-savvy toddlers or other digital disasters don’t hesitate to reach out to Digital Tech Guard Recovery. They saved my funds and my sanity, proving that no challenge is too great, even when it involves a toddler’s mischievous fingers!
21.11.24 08:02 Emily Hunter

If I hadn't found a review online and filed a complaint via email to support@deftrecoup. com , the people behind this unregulated scheme would have gotten away with leaving me in financial ruins. It was truly the most difficult period of my life.
22.11.24 04:41 [email protected]

I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT
22.11.24 15:26 cliftonhandyman

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22.11.24 23:43 teresaborja

all thanks to Tech Cyber Force Recovery expert assistance. As a novice in cryptocurrency, I had been carefully accumulating a modest amount of Bitcoin, meticulously safeguarding my digital wallet and private keys. However, as the adage goes, the best-laid plans can often go awry, and that's precisely what happened to me. Due to a series of technical mishaps and human errors, I found myself locked out of my Bitcoin wallet, unable to access the fruits of my digital labors. Panic set in as I frantically searched for a solution, scouring the internet for any glimmer of hope. That's when I stumbled upon the Tech Cyber Force Recovery team, a group of seasoned cryptocurrency specialists who had built a reputation for their ability to recover lost or inaccessible digital assets. Skeptical at first, I reached out, desperate for a miracle. To my utter amazement, the Tech Cyber Force Recovery experts quickly assessed my situation and devised a meticulous plan of attack. Through their deep technical knowledge, unwavering determination, and a keen eye for detail, they were able to navigate the complex labyrinth of blockchain technology, ultimately recovering my entire Bitcoin portfolio. What had once seemed like a hopeless endeavor was now a reality, and I found myself once again in possession of my digital wealth, all thanks to the incredible efforts of the Tech Cyber Force Recovery team. This experience has not only restored my faith in the cryptocurrency ecosystem. Still, it has also instilled in me a profound appreciation for the critical role that expert recovery services can play in safeguarding one's digital assets. ENAIL < Tech cybers force recovery @ cyber services. com > WEBSITE < ht tps : // tech cyber force recovery. info > TEXT < +1. 561. 726. 3697 >
24.11.24 02:21 [email protected]

I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT
25.11.24 02:19 briankennedy

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25.11.24 02:20 briankennedy

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