In this Gradient Updates weekly issue, Ege discusses the case for multi-decade AI timelines.
AI that can accelerate research could drive a century of technological progress over just a few years. During such a period, new technological or political developments will raise consequential and hard-to-reverse decisions, in rapid succession. We call these developments *grand challenges*. These challenges include new weapons of mass destruction, AI-enabled autocracies, races to grab offworld resources, and digital beings worthy of moral consideration, as well as opportunities to dramatically improve quality of life and collective decision-making. We argue that these challenges cannot always be delegated to future AI systems, and suggest things we can do today to meaningfully improve our prospects. AGI preparedness is therefore not just about ensuring that advanced AI systems are aligned: we should be preparing, now, for the disorienting range of developments an intelligence explosion would bring.
In this Gradient Updates weekly issue, Ege discusses the case for multi-decade AI timelines.
Thanks to Max Taylor, Irina Gueorguiev, Robert Praas, Albert Didriksen, Mark Rogers and Justis Mills (EA Forum) for feedback on this post. All mistak…
Predictably helping animals in the long-run seems very difficult (partly because the future could be so weird). Some exploration of this & more, plus near-term AI<>AW takes.
As many folks in AI safety have observed, even if well-intentioned actors succeed at intent-aligning highly capable AIs, they’ll still face some high…