Ryan Greenblatt, a researcher at the Alignment Research Center, argues that human-level AI could rapidly evolve into superintelligent systems by 2032, with his median estimate for automating AI R&D se…
Dwarkesh Patel, in a video recording of his post, argues that smarter AI models could drive up compute prices by 10x, as demand for advanced AI training and inference grows. He cites Mercury's AI tool…
Compute costs could rise 10x or more in coming years, according to an analysis of AI lab economics. If a human-level software engineer could run on an H100 equivalent, that GPU should rent for over $2…
Three winners were announced in an essay contest on big questions about AI. Jassi Pannu of Johns Hopkins University proposed using an OpenAI Foundation to end airborne diseases, Ege Erdil of Mechanize…
Grant Sanderson, creator of 3Blue1Brown, discussed the rapid progress of AI in mathematics and its implications for other fields in a podcast interview. He explored whether AI discoveries constitute A…
AI progress is driven primarily by massive amounts of domain-specific human expert data and reinforcement learning, not by architectural breakthroughs, creating a data black hole that powers model cap…
Economists Alex Imas and Phil Trammell discuss the economic implications of artificial general intelligence, including optimal tax and redistribution policies, the potential for inequality, and what w…
Reiner Pope, CEO of AI chip startup MatX and former Google engineer, delivered a blackboard lecture explaining chip design from basic logic gates to the architectures of GPUs, TPUs, FPGAs, and the hum…