Google DeepMindの2030年AGI目標は数学的に不可能か
Demis HassabisはStanfordでAGIの時期を2030年に絞り込み、Davosでの2031〜2036年という推定と矛盾。トップラボのAGI定義における深い食い違いが浮き彫りとなった。
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.