Imagine it’s 1932, but with one major difference: uranium is cheap enough that anyone can get some. Radioactive materials are unregulated. The world’s largest companies are competing to build nuclear power plants. Nuclear weapons have not yet been discovered. Would you think nuclear arms control is premature? Or would you want to get started now to prevent a catastrophe?
This is the same situation the real world is in, with machine learning and artificial intelligence. The world’s biggest tech companies are gathering GPUs and working to build AI that is smarter than humans about everything. And right now, there’s not much coordination being done to make this go well. (Policymakers)
Imagine it’s 1932, but with one major difference: uranium is cheap enough that anyone can get some. Radioactive materials are unregulated. The world’s largest companies are competing to build nuclear power plants. Nuclear weapons have not yet been discovered. Would you think nuclear arms control is premature? Or would you want to get started now to prevent a catastrophe?
This is the same situation the real world is in, with machine learning and artificial intelligence. The world’s biggest tech companies are gathering GPUs and working to build AI that is smarter than humans about everything. And right now, there’s not much coordination being done to make this go well. (Policymakers)