A recent report from a Nature sub-journal highlights an AI system built using living human brain cells, which improved speech recognition accuracy from 30%-40% to 78%. The system can perform unsupervised learning, akin to neural networks, and its learning ability is related to the connections of neural cells in brain organoids. Composed of 'mini-brains' and microelectrodes, significant improvements were achieved after two days of training, but it can only recognize the speaker without understanding the content. While performance is expected to improve, brain organoids can only survive for 1-2 months, and external devices have high power consumption. This research indicates that truly general biological computing systems may take decades to develop.