Sequoia Declares AGI 'Has Effectively Arrived' in New Report

The VC firm argues that long-horizon agents capable of iterating without step-by-step prompting represent a functional form of AGI — a definition that conveniently aligns with their portfolio thesis.

Sequoia Capital published a report arguing that AGI has "effectively arrived," as @rohanpaul_ai summarized. The firm's argument centers on long-horizon agents that can iterate on tasks, recover from errors, and make progress without step-by-step human prompting. The report points to the combination of pre-training, reasoning-time compute, and agent loops as the key enablers.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae.

Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Proin pharetra nonummy pede. Mauris et orci. Aenean nec lorem. In porttitor. Donec laoreet nonummy augue. Suspendisse dui purus, scelerisque at, vulputate vitae, pretium mattis, nunc. Mauris eget neque at sem venenatis eleifend. Ut nonummy. Fusce aliquet pede non pede. Suspendisse dapibus lorem pellentesque magna integer malesuada.

Unlock the full briefing

Get every story in today's briefing, the full archive, and the daily AI intelligence brief.

All stories today

Full archive

Daily brief