First end-to-end benchmark tests AI continual learning in a real job
ysu_nlp · x · 2026-09-11
A new paper introduces the first end-to-end benchmark spanning computer use, continual learning, and long-horizon agentic capabilities, set inside a real job. The authors argue that the two main roadblocks to AGI—recursive self-improvement and continual learning—share the same spirit: AI must not only act like humans but teach itself like humans in a fast-moving, time-sensitive world. The benchmark observes how frontier models act and learn like an apprentice in a real workplace.
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