- Real-world impact is more important than benchmark scores, says Meta AI VP
- Song emphasizes security, trust and real-world benefits
- Meta’s latest model puts people first, she says
Meta’s newly appointed head of AI research, Dawn Song, is betting on agent AI for the future of artificial intelligence, emphasizing that they should enhance humans rather than replace people entirely.
Song sees agents performing “economically valuable” tasks, such as time-consuming and repetitive work, ultimately freeing up humans to do more creative work.
As companies struggle to quantify the impacts of AI and deliver meaningful ROI, Song believes the focus should be on real-world impact rather than benchmark scores.
AI Agents Should Augment, Not Replace, Humans
“The goal is not to replace humans,” Song told the South China Morning Post. She confirmed that she would be joining Meta Superintelligence Labs in a LinkedIn post, along with other members of the Virtue AI team.
“[AI] “it must be safe, reliable and beneficial,” he added.
Song is also a computer science professor at the University of California, Berkeley, a university that recently introduced the Latest Agent Examination (ALE), a new type of benchmark that assesses whether AI agents can complete more than 1,500 economically valuable tasks in 55 different industries.
Meta itself launched its first new model, Muse, in April, which it says is designed to “put people first.”
As MSL’s vice president of AI research, Song will focus on AI security and research, and will likely continue to emphasize the role of humans in an AI-first era.
Model capabilities are no longer a drawback for AI developers, and human, socioeconomic, and geopolitical impacts are now becoming a major focus. Recently, the White House forced Anthropic to recall its latest Frontier models over jailbreak concerns.
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