Machine Learning Street Talk · Saturday, September 26, 2026
While recursive self-improvement is a novel direction, advancements in AI can also be achieved through other means. These include improving model architectures (like the Transformer), enhancing training processes (e.g., reinforcement learning), refining objective functions (e.g., reward shaping), and improving data augmentation techniques.
“But you know, we can always try to improve the architecture of the models. Like, for example, the transformer, it's a really good invention.”
“Then we can try to improve the training process. Like, for example, reinforcement learning.”
“But the idea here is to allow the model to improve itself. That's a really new direction.”