谷歌 DeepMind 2030 年實現 AGI 的目標是否在數學上不可能

demis hassabis offered a precise agi timeline of 2030 during a stanford talk, contradicting his earlier conservative estimate of 5 to 10 years made at davos in january. he defined agi as systems capable of human-level creativity and physical interaction, explicitly rejecting the idea that large language models have already achieved agi. the conflicting timelines from a single industry leader illustrate the confusion and marketing hype currently obscuring the technical reality of ai development. this inconsistency matters because corporate agi definitions are driving billions in investment and influencing global regulatory policy.