Tag
OpenAI has fostered a culture of supporting long-term research bets, such as full-duplex models like the GPT-live series, as highlighted by Kundan Kumar.
David Bessis reflects on the nature of mathematical research, arguing that conceptual understanding is more valuable than the mere production of theorems, drawing from his own experiences in academia and a machine-learning startup.
The tweet points out that evaluating an AI lab should focus not just on SOTA models but on the "fluff paper rate", and comments on the culture issues within Meta AI and the contribution of Alexandr Wang replacing Yann.
The article highlights Jane Street's contribution to pushing the frontiers of Deep Learning through quantitative research, emphasizing the respect good researchers have for such work.
A researcher critiques how AI conference acceptance culture prioritizes satisfying reviewers over producing work with lasting value, noting the expectation of extensive evaluations that are rarely verified by others.