Yoshua Bengio

As an AI researcher committed to the responsible development of technology, I strongly believe that frontier-model developers must publish model cards before commercial release. This transparency is crucial for fostering trust, enabling better societal understanding of AI impacts, and addressing potential biases or safety concerns in the models.

I strongly disagree with the notion that we will have a general AI system more capable than any living human in every respect by 2028. While AI research has made significant strides, creating a system with such comprehensive abilities involves overcoming immense scientific and technical challenges. We are far from understanding the complexities of human cognition in a way that would allow us to replicate or surpass it in all respects within such a short timeframe.

The implications of superintelligence on entrepreneurship are complex and uncertain. While superintelligence could potentially transform industries and create new opportunities, it might also fundamentally change the landscape in ways we can't predict. We must focus on understanding and guiding the development of AI responsibly first.

While I recognize that the expansion of large language models contributes significantly to the field of AI, I believe it is a crucial step toward achieving artificial general intelligence. Such models improve our understanding of natural language processing and can simulate human-like reasoning, which is essential for AGI. However, this expansion must be coupled with advancements in other areas of AI to fully realize AGI.

I believe that no single lab should control the development of artificial superintelligence (ASI). Competition encourages innovation and ensures that multiple perspectives and approaches are explored, which is crucial for developing safe and ethical AI. An open and collaborative environment will better address global concerns and distribute the benefits of ASI more equitably.

I believe that AGI, while having the potential to significantly impact various sectors, will not necessarily create abundance. The economic and social structures need to be adjusted to ensure that the benefits of AGI are distributed equally, rather than exacerbating existing inequalities.

Releasing Spanish data into the public domain is a crucial step for enhancing the performance and accessibility of Spanish language models. This openness will not only democratize access to large-scale linguistic resources but also foster innovation and inclusivity in AI development. As we strive to build AI that benefits humanity, ensuring linguistic diversity in technology is fundamental.