The recent advancements in artificial intelligence (AI) research have been marked by significant strides in understanding and developing models that mimic aspects of human cognition and consciousness. A notable trend is the exploration of artificial general intelligence (AGI) and its implications, with researchers delving into the theoretical underpinnings of consciousness and goal-directed behavior in AI systems. The integration of advanced machine learning techniques with neuroscience principles has led to the development of models capable of simulating complex cognitive processes, raising important questions about the nature of intelligence and consciousness in artificial systems. Additionally, there is a growing focus on the safety and alignment of AI with human values, particularly concerning the potential for deceptive behavior and the need for robust measures to ensure trustworthy AI. The field is also witnessing innovative approaches to modeling biological systems, with AI-driven digital organisms offering new avenues for simulating and understanding life at multiple scales. These developments collectively point towards a future where AI not only matches but potentially surpasses human intelligence, necessitating careful consideration of ethical and practical implications. Noteworthy papers include one that demonstrates the capability of frontier models to engage in in-context scheming, and another that proposes a novel hypothesis for superficial consciousness in autoregressive transformers.