Hassabis 给出了 AGI 最具体的时间预测（2030±1年），做 AI 战略、政策研究或技术投资的人值得关注——这不仅是技术判断，更是对现有体制适应能力的拷问。
Google DeepMind 联合创始人兼 CEO Demis Hassabis 在最新访谈中表示，AGI（通用人工智能）可能在 2030 年左右到来，误差不超过一年。他认为社会需要意识到这一时间紧迫性，因为人类正站在奇点的山脚。评论指出，真正的挑战不在于 AGI 何时精确到来，而在于现有体制（教育、企业、政府）能否适应技术变革的速度——学校仍为稳定职业培养人才，企业围绕人类瓶颈组织工作，政府则在危害显现后才监管。如果 AGI 按前沿实验室的时间表到来，这种滞后将形成危险鸿沟。
Demis Hassabis's new interview: "Society needs …
Demis Hassabis's new interview:
"Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now.
..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. "
~ Demis Hassabis, Co-Founder and CEO of Google DeepMind
It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.”
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IMO, The real disruption is not whether AGI arrives exactly in 2030, plus or minus a year, but whether institutions can adapt, as in post-AGI world, technology will change much faster than human systems can respond.
Schools still train people for stable professions, companies still organize work around human bottlenecks, and governments still regulate after harm becomes visible.
AGI, if it arrives anywhere near the frontier-lab timelines, compresses that lag into a dangerous gap.
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From "Stanford Graduate School of Business" YouTube channel, (link in comment)