Accelerating the development of machine intelligence is not a net negative since it can make the world better and safer at least as much as it is a risk. The longer it takes for AGI algorithms to be developed, the more advanced hardware and datasets there will be to support an uncontrolled takeoff. Also, the longer it takes for AI leaders to develop AGI then the more time there is for other nations and organizations to catch up, sparking more dangerous competitive dynamics. Finally, even if it were a net negative, the marginal impact of one additional AI researcher is tiny whereas the marginal impact of one additional AI safety researcher is large, due to the latter community being much smaller.
Accelerating the development of machine intelligence is not a net negative since it can make the world better and safer at least as much as it is a risk. The longer it takes for AGI algorithms to be developed, the more advanced hardware and datasets there will be to support an uncontrolled takeoff. Also, the longer it takes for AI leaders to develop AGI then the more time there is for other nations and organizations to catch up, sparking more dangerous competitive dynamics. Finally, even if it were a net negative, the marginal impact of one additional AI researcher is tiny whereas the marginal impact of one additional AI safety researcher is large, due to the latter community being much smaller.