The avalanche that hit math is coming for AI development (www.dwarkesh.com)

Recent reflections from a prominent AI researcher indicate that we may be nearing the emergence of artificial intelligence capable of matching, and potentially surpassing, the best human researchers in AI development. Initially estimating a decade until superintelligence, the researcher now suggests it could happen within months to a few years, driven by current advancements in AI's ability to automate research tasks. Evidence of this rapid acceleration comes from organizations like METR, which reported that Anthropic's research rate has doubled due to extensive AI integration. Such advancements suggest that AIs could soon dominate fields requiring well-defined problem-solving, mirroring their success in mathematics, where AI has recently tackled longstanding challenges. The implications for the AI/ML community are significant: if AIs become as proficient as top human researchers by 2028, we can expect a drastic increase in algorithmic development speed. Currently, AI systems are already completing tasks at remarkable speeds—up to 10 times faster than humans—and automated researchers could work up to 50 times more over a week, fundamentally altering the pace of innovation. This potential shift in research dynamics signals a transformative phase for AI, where rapid advancements in machine learning could become the norm, reshaping the landscape of the field and pushing the boundaries of what's considered achievable.