Reimagine Constraints as Opportunities

There is untapped potential in the attention mechanism and embeddings, signaling that advancements in these areas are still achievable. The notion of merely increasing data volume is losing its efficacy, which requires a shift in thinking. Instead of relying on larger datasets or increased computational power, the focus must shift to innovative problem-solving. This presents an opportunity to deepen understanding and creativity in machine learning, similar to the functional ease provided by everyday appliances like a Roomba or washing machine, which enhances efficiency without requiring constant attention.