AGI Countdown: A 'Very Small' Window for Humanity
OpenAI Chief Research Officer Mark Chen has delivered a stark warning on the arrival of Artificial General Intelligence (AGI), stating that the window for human adaptation is "very small." Chen points out that current models are transitioning from passive question-answering to autonomous research — attaining self-sustaining scientific capabilities where AI can independently design experiments, propose hypotheses, and iteratively evolve.
Chen emphasizes that Scaling Laws still hold significant potential, pushing back against the industry narrative that "pretraining is dead." He argues that greater compute and data continue to unlock emergent abilities. Looking ahead, Chen predicts that AI researchers will shift toward "vibes-based research" — moving away from parameter tuning to focus on problem formulation, value judgment, and high-level direction setting.
However, Chen also flags unresolved bottlenecks: existing evaluation frameworks are rapidly losing relevance, making it difficult to truthfully measure model performance on complex tasks; continual learning remains unachieved, as models still suffer catastrophic forgetting; and alignment and safety issues require sustained investment. These challenges imply that AGI won't arrive overnight, but the closing window demands urgent action.