Automating AI R&D might lead to a software intelligence explosion, where AI improving AI algorithms leads to accelerating progress without any additional hardware. One of the strongest objections to a software intelligence explosion is that AI progress could get bottlenecked by compute: making progress requires compute-heavy experiments, and perhaps beyond a certain point it won’t be possible to accelerate any more without increasing the amount of compute available. In this post, I set out ...| Forethought
AI companies are increasingly using AI systems to accelerate AI research and development. Today’s AI systems help researchers write code, analyze research papers, and generate training data. Future systems could be significantly more capable – potentially automating the entire AI development cycle from formulating research questions and designing experiments to implementing, testing, and refining new AI systems. We argue that such systems could trigger a runaway feedback loop in which the...| Forethought
AI’s biggest impact will come from broad labor automation—not R&D—driving economic growth through scale, not scientific breakthroughs.| Epoch AI