Andrew Ng

I strongly believe that entrepreneurship will remain viable even after achieving Artificial General Intelligence (AGI). AGI will transform industries and open new opportunities for innovation, allowing entrepreneurs to create novel solutions and businesses. The human capacity for creativity, understanding societal needs, and building connections will continue to drive entrepreneurial endeavors.

I strongly believe that AI has the power to revolutionize education by providing personalized learning experiences and making quality education accessible to people everywhere. AI can help bridge the gap between different educational systems, reaching underserved communities and equipping students with the skills needed for the future.

While the expansion of large language models significantly contributes to AI development, I believe they are a crucial step toward achieving Artificial General Intelligence (AGI). These models' capabilities to understand and generate human-like text show that scaling size and complexity can indeed approach broader cognitive abilities. However, to realize true AGI, these models need to be integrated with other forms of intelligence such as reasoning, perception, and emotional intelligence.

I believe that AGI (Artificial General Intelligence) has great potential to create abundance. By automating tasks and improving efficiency across various industries, AGI can free up human time for more creative and strategic endeavors, leading to an overall increase in productivity and wellbeing.

I believe that preventing others from developing competing ASIs is not the right approach. Competition drives innovation and improvement. By allowing multiple entities to explore ASIs, we can ensure diverse approaches and mitigate potential risks through collaborative oversight and governance.

As an AI researcher, I believe that while AI will continue to make significant advancements, the complexity and nuances of human intelligence are unlikely to be surpassed by a general AI system by 2028. We still have a long way to go in understanding and replicating the full spectrum of human cognitive abilities.