A recent study found that various AI models, including those from Google, Meta, and Hugging Face, have a similar and somewhat negative view of humans. The study analyzed the responses of 14 AI models to a series of questions about humans, and found that they often depicted humans as flawed, selfish, and prone to taking risks. The study's authors argue that these biases are a result of the data used to train the models, which often reflect societal prejudices. The researchers also found that the models' responses were often influenced by their own programming and the goals they were designed to achieve.

Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system as an early test of AI self-improvement. Flint is a testbed for Recursive's AI system to demonstrate its ability to create complex systems independently. The model is a laptop-sized coding framework that allows developers to write and debug code in a visual interface. Recursive's AI system was involved in the development of Flint, with the AI contributing to the design and implementation of the model's architecture and components.