Aether AI представил агента и модель мира, которые планируют действия робота через причинно-следственные связи Стартап Aether AI показал CRIS-0 - систему управления роботом, которая опирается не на чистые паттерны, а на причинно-следственные связи. Внутри CRIS-0 два модуля: агент, который ведёт задачу по стадиям и проверяет каждый шаг, и модель мира, которая заранее прогнозирует, как конкретное действие изменит обстановку. В отличие от обычных моделей, которые хорошо предсказывают, что будет дальше, CRIS-0 пытается понимать, как конкретное действие изменит окружающий мир, проверяет результат и перестраивает план, если реальность не совпала с ожиданиями. По сути, это тот же цикл, что у агента-программиста: написал, проверил, поправил, но применённый к управлению роботом. GitHub.
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Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
Read full article at Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)Aether AI introduced an agent and a world model that plan the robot's actions through cause-and-effect relationships
Aether AI presented an agent and a model of the world that plan the robot’s actions through cause-and-effect relationships. The Aether AI startup showed CRIS-0, a robot control system that relies not on pure patterns, but on cause-and-effect relationships. There are two modules inside CRIS-0:...
AI Summary & Key Takeaways
- Aether AI presented an agent and a model of the world that plan the robot’s actions through cause-and-effect relationships
- The Aether AI startup showed CRIS-0, a robot control system that relies not on pure patterns, but on cause-and-effect relationships
- There are two modules inside CRIS-0:...
Aether AI introduced an agent and a world model that plan the robot's actions through cause-and-effect relationships
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