AI-агенты: ключевые риски и проблемы масштабируемости

cryptonews.ruPublished on 2023-06-29Last updated on 2025-04-29

За последние пару месяцев количество AI-агентов выросло примерно на 33%, что отражает высокий интерес к данной зарождающейся технологии. Но невзирая на весь энтузиазм, решения ИИ в сегменте Web 3 все еще занимают минимальную долю на уровне 3%. Основатель и генеральный директор OORT Макс Ли считает, что сама по себе отрасль стремительно развивается, однако необходимая инфраструктура, включая децентрализованные системы хранения и токенизированные площадки, неизбежно отстает в динамике.

Многие специалисты отмечают, что относительно низкая масштабируемость считается ключевым препятствием на пути массового внедрения цифровых активов. Но Макс Ли подчеркивает, что вопросы безопасности и соответствия нормативным требованиям — это более важный вопрос, особенно в отношении токенов AI.

По его мнению, необходимо прорабатывать риски, которые возникают в период, когда агенты AI обрабатывают конфиденциальную информацию. В криптовалютном сообществе есть мнение, что в перспективе ИИ-агенты смогут оптимизировать реальные отрасли, однако Ли скептически к этому относится. Он утверждает, что подобная идея, особенно в контексте публичных блокчейнов, далека от реального положения дел.

Специалист утверждает, что крупные организации могли бы интегрировать элементы AI для оптимизации рабочего процесса. Однако они отдают предпочтение более безопасным решениям, которые предоставляют публичные децентрализованные сети.

Хотя эксперт признают, что частные блокчейны могут стать переходным решением, но концепция AI-агентов, оптимизирующая логистику и финансовые процессы, на текущем этапе выглядит скорее мнимой, нежели реально достижимой. Между тем сегмент токенов ИИ продолжает стремительно расти. Особенно явно данная тенденция стала прослеживаться в начале этого года.

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