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Н Новости

Практика: мой опыт интеграции более 50 нейронных сетей в один проект

Полтора года назад я начал работу над проектом с открытым исходным кодом, который постепенно рос и развивался. Вдохновившись проектом AUTOMATIC1111, на тот момент только появившимся, я добавлял всё больше функционала и возможностей. Сегодня мой проект включает более 50 нейронных сетей, каждая из которых выполняет свою уникальную задачу. В этой статье я делюсь практическими лайфхаками и выводами, которые помогли мне на этом пути. Надеюсь, что они будут полезны и вам.

Проект ориентирован на создание и редактирование видео, изображений и аудио с применением нейронных сетей. Часто разные методы могут выполнять схожие задачи. Так как я интегрировал решения с открытым исходным кодом, оптимизировал их и добавлял новый функционал, ключевой задачей стало обеспечение единства методов. Например, такие функции, как замена лица, синхронизация губ и анимация портретов, требуют распознавания лица. В моем проекте за эту задачу отвечает одна модель, а не несколько разных методов, как в исходных решениях. Поэтому все 50+ моделей распределены так, что каждая отвечает за своё уникальное направление, без дублирования.

Одна модель = Одна задача

В процессе разработки я принципиально отказался от TensorFlow и связанных с ним решений, сосредоточившись исключительно на PyTorch и ONNX Runtime.

Для тех, кто хочет детальнее ознакомиться с функционалом и узнать, какие именно нейронные сети я использовал, предлагаю несколько ссылок: плейлист на YouTube, где можно проследить, как проект развивался и совершенствовался, а также короткое видео, созданное с помощью моей программы — для тех, у кого нет доступа к YouTube.

Функционал каждой модели разнообразен и сложен: от генерации изображений и видео до распознавания лиц, сегментации и многого другого. В проекте нет простых решений, и каждая модель выполняет свою уникальную задачу.

Итак, начнем

Лайфхак 1

Первое, с чем я столкнулся, и что стало для меня удивлением: нельзя загрузить одну модель в видеопамять и использовать её одновременно для нескольких задач. Необходимо, чтобы каждая модель загружалась под свою отдельную задачу. Следовательно, это станет основой для дальнейших лайфхаков.

Лайфхак 2

Очередь. Мое приложение основано на Flask, поэтому пользователь не ожидает окончания обработки и может запускать сколько угодно задач, тем самым загружая память. В результате я искусственно создаю задержку между задачами с случайным значением, чтобы избежать одновременного запуска двух и более задач. Это связано с Лайфхаком 3.

Лайфхак 3

Перед запуском я использую измерение памяти. Я могу искусственно откладывать запуск задач, если знаю, что количество текущей памяти на устройстве меньше, чем требуется для модели.

import torch
import psutil

def get_vram_gb(device="cuda"):
    if torch.cuda.is_available():
        properties = torch.cuda.get_device_properties(device)  # Get the values for a specific GPU, which is our device
        total_vram_gb = properties.total_memory / (1024 ** 3)
        available_vram_gb = (properties.total_memory - torch.cuda.memory_allocated()) / (1024 ** 3)
        busy_vram_gb = total_vram_gb - available_vram_gb
        return total_vram_gb, available_vram_gb, busy_vram_gb
    return 0, 0, 0


def get_ram_gb():
    mem = psutil.virtual_memory()
    total_ram_gb = mem.total / (1024 ** 3)
    available_ram_gb = mem.available / (1024 ** 3)
    busy_ram_gb = total_ram_gb - available_ram_gb
    return total_ram_gb, available_ram_gb, busy_ram_gb

Лайфхак 4

Вместе с отложенным запуском я использую проверки на самую распространенную ошибку: “CUDA out of memory”. Идея заключается в том, что если мы получаем сообщение о нехватке памяти, нам нужно очистить память от ненужных данных и запустить процесс заново.

min_delay = 20
max_delay = 180
try:
    # Launch the method with a neural network
except RuntimeError as err:
    if 'CUDA out of memory' in str(err):
        # Clear memory
        sleep(random.randint(min_delay, max_delay))
        # Clear memory again
        # Launch the method again
    else:
        raise err

К этой части мы ещё вернемся, поскольку недостаточно просто выполнить `# Clear cache`, всё должно быть немного иначе.

Лайфхак 5

Backend моей программы состоит из модулей, которые классифицируются по следующим признакам: изменение видео или изображения, генерация видео и изображений, изменение аудио — т.е. по свойству модели. И также по признаку: модель обрабатывает задачи для frontend или backend, т.е. результат работы модели необходимо вернуть мгновенно пользователю (сегментация, txt2img и img2img) или как выполненную крупную задачу. Мы не говорим про модели, которые работают на frontend, используя:

await ort.InferenceSession.create(MODEL_DIR).then(console.log("Model loaded"))

Следовательно, мне необходимо загружать модели для быстрого возврата ответа в память и держать их там, не позволяя разным пользователям одновременно использовать одну модель (Лайфхак 1) и не использовать их для задач с долгой обработкой, чтобы не нарушить Лайфхак 1.

Лайфхак 6

Модели для длительной обработки иногда бывают очень требовательными, и в зависимости от видеопамяти, такая модель может полностью её использовать. В плане оптимизации очень невыгодно каждый раз загружать и выгружать такие модели, хотя иногда это, к сожалению, приходится делать. Часто с такими моделями используются микро модели, которые занимают в памяти немного места, но их загрузка и выгрузка требует времени. При запуске задач мы группируем их по методам длительной обработки, и задачи из одной группы обрабатываются на маленьких моделях, создавая очередь перед загрузкой в одну большую модель. Помните Лайфхаки 3 и 4? У нас есть два метода: измерить, сколько такая модель потребляет памяти, или запустить её, чтобы получить ошибку “CUDA out of memory” и очистить кэш.

Очистка от кэша

Получив эту ошибку, мы очищаем память от ненужных моделей, включая те, что используются для быстрого ответа, а также очищаем неиспользуемые данные, если таковые остались.

if torch.cuda.is_available():  # If CUDA is available, because the application can work without CUDA
	torch.cuda.empty_cache() # Frees unused memory in the CUDA cache
	torch.cuda.ipc_collect() # Performs garbage collection on CUDA objects accessed via IPC (interprocess communication)
gc.collect() # Calls Python's garbage collector to free memory occupied by unused objects

Лайфхак 7

После выполнения каждой задачи очищайте память и удаляйте переменные и модели, если они больше не требуются.

del ...

Лайфхак 8

Модели можно загружать по слоям на GPU и CPU, либо на несколько GPU, но при этом элементы одного слоя должны находиться на одном GPU. Такой подход применяется при малом количестве видеопамяти и используется в генерации изображений и видео, но не ограничивается этим.

device_map = {
    'encoder.layer.0': 'cuda:0',
    'encoder.layer.1': 'cuda:1',
    'decoder.layer.0': 'cuda:0',
    'decoder.layer.1': 'cuda:1',
}
# Or
device_map = {
    'encoder.layer.0': 'cuda',
    'encoder.layer.1': 'cpu',
    'decoder.layer.0': 'cuda',
    'decoder.layer.1': 'cpu',
}

Лайфхак 9

Не забывайте использовать enable_xformers_memory_efficient_attention(), если пайплайн модели это поддерживает. В документациях описаны и другие методы, такие как enable_model_cpu_offload(), enable_vae_tiling(), enable_attention_slicing(). У меня они работают при рестайлинге видео, а для генерации изображений используются совсем другие методы:

if vram < 12:
    pipe.enable_sequential_cpu_offload()
    print("VRAM below 12 GB: Using sequential CPU offloading for memory efficiency. Expect slower generation.")
elif vram < 20:
    print("VRAM between 12-20 GB: Medium generation speed enabled.")
elif vram < 30:
    # Load essential modules to GPU
    for module in [pipe.vae, pipe.dit, pipe.text_encoder]:
        module.to("cuda")
    cpu_offloading = False
    print("VRAM between 20-30 GB: Sufficient memory for faster generation.")
else:
    # Maximize performance by disabling memory-saving options
    for module in [pipe.vae, pipe.dit, pipe.text_encoder]:
        module.to("cuda")
    cpu_offloading = False
    save_memory = False
    print("VRAM above 30 GB: Maximum speed enabled for generation.")

Такие подходы уменьшают количество используемой памяти, но увеличивают время обработки.

Лайфхак 10

Не храним кадры в памяти. На самом деле – это палка о двух концах. Если вам нужно быстро получить результат на мощной машине с ограничениями по разрешению и длительности контента, то хранение в памяти может быть выгодным. Однако пользователи моего проекта запускают его на слабых устройствах с часовыми видео в высоком разрешении. Поэтому я переписал все методы для работы с текущим кадром и значениями, сохраняя их на жестком диске. Обращение к этим данным по мере необходимости позволяет избежать множества ограничений на устройства. В списке я храню только ссылки на файлы, что делает процесс более эффективным. Дополнительно можно использовать генераторы или чанки для обработки только текущих значений, подобное я делаю в некоторых модулях, например при замене лиц

Лайфхак 11

Разрешение кадра. В зависимости от модели иногда приходится изменять размер кадра до пределов, которые может обработать устройство пользователя, а затем восстанавливать его размер обычным изменением размера или более продвинутым upscale.

Лайфхак 12

Модели не бывают асинхронными? Это не является утверждением, так как мир искусственного интеллекта, постоянно меняется и это только мой опыт. Я обнаружил, что не получаю значительных выигрышей от использования асинхронных методов, за исключением отдельных операций обработки данных, которые не связаны напрямую с моделью, а также requests для загрузки и проверки актуальности модели. Модели работают синхронно.

Лайфхак 13

Давайте поговорим о совместимости версий библиотек, особенно таких, как torch, torchvision, torchaudio и xformers. Важно, чтобы они были совместимы между собой и с вашей версией CUDA. Как мы поступаем?

Первое — проверяем версию своего CUDA:

nvcc -V

Второе — заходим на сайт PyTorch, чтобы ознакомиться с совместимостью версий: PyTorch Previous Versions или на страницу загрузки, где cu118 — это ваша версия CUDA. Обратите внимание, что ваша версия CUDA может работать с более старыми версиями torch. Например, CUDA 12.6 может работать с torch версии, совместимой с cu118.

Я заметил, что torch и torchaudio часто имеют одинаковые версии, например, 2.4.1, в то время как версия torchvision может отличаться, как, например, 0.19.1. Таким образом, можно определить, что torch и torchaudio версии 2.2.2 работают с torchvision 0.17.2. Чувствуете зависимость?

Дополнительно вы можете загружать файлы .whl по ссылке и даже распаковывать их самостоятельно. Для меня соблюдение версий критически важно, так как программа устанавливается через установщик, и для пользователей Windows, при первом включении загружаются torch, torchaudio и torchvision в зависимости от их выбора, с индикацией статуса загрузки, а потом распаковывает.

Третье — необходимо убедиться, что xformers также совместим. Для этого посетите репозиторий xformers на GitHub и внимательно ознакомьтесь с тем, с какой версией torch и CUDA будет работать xformers, так как поддержка старых версий может быть отменена, в том числе для torch. Например, при использовании CUDA 11.8 вы ощутите пользу от xformers, особенно если ваше устройство имеет ограниченное количество видеопамяти.

Четвертое — это не обязательный шаг, но есть такая вещь, как flash-attn. Если вы решите её установить, вы можете сделать это быстрее, используя команду:

MAX_JOBS=4 pip install flash-attn

Где вы можете выбрать количество jobs, которое вам подходит. Я использую её следующим образом:

try:
    from flash_attn import flash_attn_qkvpacked_func, flash_attn_func
    from flash_attn.bert_padding import pad_input, unpad_input, index_first_axis
    from flash_attn.flash_attn_interface import flash_attn_varlen_func
except ImportError:
    flash_attn_func = None
    flash_attn_qkvpacked_func = None
    flash_attn_varlen_func = None

Лайфхак 14

Чтобы убедиться, что CUDA доступна в провайдерах ONNX Runtime, выполните следующий код:

access_providers = onnxruntime.get_available_providers()
if "CUDAExecutionProvider" in access_providers:
    provider = ["CUDAExecutionProvider"] if torch.cuda.is_available() and self.device == "cuda" else ["CPUExecutionProvider"]
else:
    provider = ["CPUExecutionProvider"]

Для новых версий CUDA 12.x, в отличие от более старой версии 11.8, вам также потребуется установить cuDNN 9.x на Linux (на Windows это может быть не обязательно). Обратите внимание, что иногда onnxruntime-gpu устанавливается без поддержки CUDA. Поэтому, когда мы убедимся, что версия torch совместима с CUDA, рекомендуется переустановить onnxruntime-gpu:

pip install -U onnxruntime-gpu

Лайфхак 15

Что делать, если некоторые модели работают только со старыми библиотеками, а другие — только с новыми? Я столкнулся с такой проблемой в gfpganer, где он требует старую версию torchvision, в то время как для генерации видео необходимы новые версии torch. В этом случае вы можете воспользоваться следующим подходом:

try:
    # Check if `torchvision.transforms.functional_tensor` and `rgb_to_grayscale` are missing
    from torchvision.transforms.functional_tensor import rgb_to_grayscale
except ImportError:
    # Import `rgb_to_grayscale` from `functional` if it’s missing in `functional_tensor`
    from torchvision.transforms.functional import rgb_to_grayscale

    # Create a module for `torchvision.transforms.functional_tensor`
    functional_tensor = types.ModuleType("torchvision.transforms.functional_tensor")
    functional_tensor.rgb_to_grayscale = rgb_to_grayscale

    # Add this module to `sys.modules` so other imports can access it
    sys.modules["torchvision.transforms.functional_tensor"] = functional_tensor

Таким образом, вы импортируете измененные методы для тех, которые исчезли в новых версиях. Это позволяет обеспечить совместимость между различными библиотеками и моделями.

Лайфхак 16

Обращайте внимание на предупреждения (Warning). Всегда следите за сообщениями типа Warning, в которых говорится о предстоящих изменениях в новых версиях библиотек. Ищите соответствующие строки кода в вашем проекте и добавляйте или изменяйте необходимые параметры. Это поможет избежать накопления несоответствий при обновлении до новых версий.

Когда увидел Warning в консоли

Лайфхак 17

Управление GPU в кластере. Если вы используете кластер из нескольких машин, помните, что вы не можете суммировать видеопамять от разных GPU. Однако, если видеокарты находятся в локальной сети, вы можете использовать управление GPU из одного контроллера. Для этого существуют библиотеки, такие как Ray. Обратите внимание, что суммирование видеопамяти не работает, за исключением случаев, когда у вас одна машина с несколькими GPU, точнее работает Лайфхак 8, а видеопамять как прежде не суммируется.

Лайфхак 18

Использование torch.jit для компиляции моделей может значительно ускорить их выполнение или перекомпеляция в onnx. Вы можете применять torch.jit.trace() или torch.jit.script() для преобразования модели в оптимизированный формат, который работает быстрее, особенно при повторных вызовах. Это особенно полезно, если вы часто вызываете одну и ту же модель для разных задач.

import torch

# Example of using torch.jit to trace a model
model = ...  # model
example_input = ...  # sample input suitable for your model
traced_model = torch.jit.trace(model, example_input)

# Now you can use traced_model instead of the original model
output = traced_model(example_input)

Лайфхак 19

Используйте инструменты профилирования, такие как torch.profiler, для анализа производительности вашей модели и выявления узких мест. Это поможет вам определить, какие части кода требуют оптимизации и как лучше распределять ресурсы. Например, вы можете профилировать время выполнения различных операций и выявить те, которые занимают больше всего времени.

import torch
from torch.profiler import profile, record_function

with profile(profile_memory=True) as prof:
    with record_function("model_inference"):
        output = model(input_data)

print(prof.key_averages().table(sort_by="cuda_time_total", row_limit=10))

И вот мы подошли к завершению нашей статьи с 19 лайфхаками! Хотя это и не круглое число, я чувствую, что не хватает ещё одного. Поэтому, пожалуйста, делитесь в комментариях вашим 20-м лайфхаком, чтобы сделать этот список полным.

Лирическое завершение

У меня есть мечта — увидеть 4096 звёзд на GitHub за мой проект. Я верю, что в топе GitHub должно быть больше проектов от русскоязычных разработчиков, и ваша поддержка даёт мне силы и вдохновение продолжать. Она позволяет мне улучшать код, разрабатывать новые подходы и делиться опытом. Если вам понравился мой труд, поддержите проект — и я обязательно продолжу создавать полезные материалы и делиться новыми идеями. А ещё расскажите о своих проектах с нейросетями на GitHub 🖐 — в комментариях!

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7 нояб. 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

LEGAL RECOUP FOR CRYPTO THEFT BY ADRIAN LAMO HACKER
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

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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]

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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

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