Inside the Race to Make AI Build Itself
CSET Georgetown Jason Ly ● Covered by 3 sources
CSET’s Helen Toner discusses efforts to automate AI research and whether AI systems could speed up their own development. The article highlights the difficulty of measuring how rapidly researchers are being accelerated, but it provides no specific benchmark or date. As a result, it emphasizes a policy and measurement gap—researchers and policymakers may struggle to keep pace with the speed of progress.
Why it matters
CSET’s Helen Toner shared her expert insight in an article published by TIME. The article examines the race to automate AI research and the possibility that AI systems could increasingly accelerate their own development, raising concerns about how quickly AI progress may advance and whether researchers and policymakers can keep pace. Even for the researchers […] The post Inside the Race to Make AI Build Itself appeared first on Center for Security and Emerging Technology.
