Quoting Terence Tao: «incentives... of no longer sharing promising research» (simonwillison.net)

Renowned mathematician Terence Tao has raised concerns about the potential decline of open collaboration in research within the AI and ML community. He argues that the rise of AI-driven research efforts incentivizes individuals to withhold promising research directions rather than share them openly. This shift could lead to a scarcity of valuable open problems, a situation that threatens the foundational principles of open science that have historically advanced knowledge in the field. Tao’s warning underscores the pressing implications of competition fueled by AI capabilities. As researchers scramble to capitalize on new ideas, the fear of early competition may discourage the sharing of innovative thoughts and solutions. This trend, if unchecked, could stifle creativity and collaboration, jeopardizing long-term advancements in AI and ML research. The call to reflect on these incentives highlights the need for a collective commitment to maintain an open research environment, essential for fostering breakthroughs and sustaining progress in the field.