In this talk, I will present a set of work done at the Beijing Institute of General Artificial Intelligence (BIGAI) and Peking University on AGI, which is also called TongAI as the Chinese character ‘Tong’ means ‘general’ and contains the letters ‘A’, ‘G’ and ‘I’. I will start with introducing a digital agent --- a little girl who lives and learns continuously in simulated diverse physics-realistic environments with multi-physics and social interactions. The little girl with a nickname ‘TongTong’ is driven by her own value system with desires and goals which generates plans and actions. Then I will reveal the framework underneath this self-conscious agent with three interconnected components: Cognitive architecture (C), the potential functions (U) representing skills, and the value functions (V). Then we define various AGI systems as points in this joint (C,U,V) –space. This framework represents a paradigm shift from the popular “data-driven” "large data for small tasks" statistical paradigm which we pioneered at Harvard, Brown and UCLA since the early 1990s, to the “value-driven” "small data for large tasks" paradigm which I have been advocating since 2010. Then I will introduce TongTest as new criteria, benchmarks and test platform for measuring the general intelligence of various AI agents on performing multi-modal embodied tasks in complex environments. The TongTest has gone way beyond the Turing test in complexity and integrates results from developmental psychology and anthropology. It assesses the intelligence of TongTong to match a 3-4 years old child. In the talk, I will also show some recent work on humanoid robotics and applications, and discuss the Eastern philosophical thinking what makes humans and intelligence, and how morality and social norm emerge from the CUV framework as a solution to AGI safety.