Fei-Fei Li, widely known as the "Godmother of AI," has expressed deep concern over the current state of public discourse around artificial intelligence, calling the prevailing narratives dangerously extreme. Speaking at a Stanford University event recently published online, Li said she finds herself increasingly labeled as “the most boring speaker in AI” — not because her views lack excitement, but because she rejects the polarized rhetoric dominating the conversation. “I like to say I’m the most boring speaker in AI these days because precisely my disappointment is the hyperbole on both sides,” she said. On one end, she pointed to the doomsday scenario: fears of AI causing human extinction, creating machine overlords, or rendering society unrecognizable. On the other, she criticized the opposite extreme — the total utopian vision where AI promises post-scarcity, infinite productivity, and effortless solutions to every human problem. Li, a renowned Stanford computer science professor and creator of ImageNet, a foundational dataset that accelerated progress in computer vision, emphasized that such exaggerated narratives mislead the general public. “The world’s population, especially those who are not in Silicon Valley, need to hear the facts, need to hear what this truly is,” she said. “Yet that kind of discourse, that kind of communication, that kind of public education is not as good as I hope it is.” Her concerns reflect a growing movement among leading AI researchers to promote more grounded, realistic conversations about AI’s capabilities and limitations. Last year, Li co-founded World Labs, a company focused on developing AI systems capable of perceiving, generating, and interacting with 3D environments — a step toward more immersive and context-aware AI. She is not alone in this call for balance. In July, Andrew Ng, founder of Google Brain, stated that artificial general intelligence (AGI) — a hypothetical form of AI with human-level reasoning and adaptability — is overrated. “For a long time, there’ll be a lot of things that humans can do that AI cannot,” he said during a talk at Y Combinator. Similarly, Yann LeCun, Meta’s former chief AI scientist, has repeatedly argued that current large language models, while impressive, are not a path to AGI. “They’re not a road towards what people call AGI,” he said in a 2023 interview. “I hate the term. They’re useful, there’s no question. But they are not a path towards human-level intelligence.” LeCun recently announced on LinkedIn that he is leaving Meta after 12 years to launch his own AI startup, further underscoring a shift among top minds to focus on practical, long-term progress rather than hype. As AI continues to evolve, figures like Li, Ng, and LeCun are urging a more measured, informed, and inclusive dialogue — one that moves beyond fear and fantasy to build a future that is both realistic and responsible.