Timnit Gebru

Merely expanding large language models is far from sufficient to achieve Artificial General Intelligence (AGI). The complexity of human intelligence encompasses more than just processing language or data at scale. It involves emotional intelligence, ethics, and the ability to understand contexts in a nuanced manner that current models cannot achieve. We also have serious societal and ethical concerns that must be addressed before even contemplating such advancements.

Releasing Spanish data into the public domain is essential for the development of more inclusive and fair AI technologies. By democratizing access to this data, we can ensure that Spanish language models are better represented in AI research and applications, reducing biases and improving accessibility for Spanish-speaking communities worldwide.

I strongly disagree with the idea that the first lab to build Artificial Superintelligence should prevent others from developing competing ASIs. Concentrating such immense power in one entity poses a significant risk to ethical standards, diversity of thought, and global governance. A pluralistic approach to ASI development encourages collaboration, transparency, and accountability, which is vital for ensuring these technologies benefit all of humanity.