AIThe bottlenecks that could make AI timelines longer than they look
A commentator quoted in a post argues that experimental data and the process of adopting improvements could limit how quickly even highly capable AI delivers results.
TLDR
A post quotes a commentator arguing that AI timelines can look short while remaining long, depending on the bottleneck. They point to cancer research’s need for experimental data and question whether even superintelligence could instantly improve New York or San Francisco transit, given the process of getting agencies to adopt changes. Progress across different domains, they suggest, could keep the singularity feeling close while very important domains take much longer to unlock.
The bottlenecks that could make AI timelines longer than they look
A commentator quoted in a post argues that experimental data and the process of adopting improvements could limit how quickly even highly capable AI delivers results.