Ex-OpenAI Researcher: Industry Underestimates the Importance of Continual Learning
Miles_Brundage · x · 2026-08-09
Former OpenAI policy researcher Miles Brundage points out that current laws and industry positions often lag significantly behind the consensus of outside experts.
Highlighting the concept of continual learning—frequently emphasized by podcaster Dwarkesh—Brundage suggests that the industry might not be taking this paradigm seriously enough. He argues that stakeholders should pay closer attention to the implications of continuous model learning and dynamic updates, rather than focusing narrowly on static pre-deployment testing.
Related event: Carnegie Essay Calls for Shift in Frontier AI Regulation(2 posts)→
More from AGI Musings
- AI Model Architecture is an Aesthetic Choice Obscured by Frontier Models — pixlpa · 2026-08-09
- Beyond Prompting: The Case for an 'Aesthetics of Training' in AI Art — pixlpa · 2026-08-09
- Why We Tell Ourselves Scary Stories About AI, According to Quanta Magazine — PolarBearby · 2026-08-09
- AGI, Humanoid Robots, and Space Tech Are Ushering in the Abundance Era — Dr_Singularity · 2026-08-09
- Monthly AI Tokens Hit 11 Quadrillion, Projected 70x Growth in 5 Years — AccBalanced · 2026-08-09
- AI Can Cooperate in Data Centers, So Why Can't Humans Do Positive-Sum Collaboration? — sjgadler · 2026-08-09