吴恩达认为通用人工智能（AGI）被过分炒作。他在Y Combinator的演讲中提到，尽管AI发展迅速，但人类在很长一段时间内仍将拥有AI无法替代的工作。他强调，与其过度关注AGI，不如提升人们使用AI工具的能力。同时，包括Meta的Yann LeCun和Google DeepMind的Demis Hassabis在内的多位AI专家也表达了类似的观点，认为对AGI的担忧有些夸大。文章还提到了“benchmark hacking”现象，即AI模型在特定基准测试中表现出色，但在实际应用中效果有限。

🧠 吴恩达认为通用人工智能（AGI）被过分炒作，人类在AI领域仍有重要角色。

💡 AGI指的是具备人类认知能力的AI系统，能够像人类一样学习和应用知识。

🗣️ 包括Yann LeCun和Demis Hassabis在内的多位AI专家也认为对AGI的恐惧被夸大了。

🛠️ 吴恩达建议，与其过于关注AGI，不如专注于提升人们使用AI工具的能力。

📊 文章提到了“benchmark hacking”现象，即AI模型在特定基准测试中表现出色，但在实际应用中效果有限。

Andrew Ng says artificial general intelligence is overhyped and humans will still have work to do.AGI refers to AI systems with human-level cognitive abilities.Scientists like Yann LeCun and Demis Hassabis have also said AGI fears may be exaggerated.

Google Brain's founder Andrew Ng said that he thinks artificial general intelligence is overrated.

"AGI has been overhyped," he said in a talk at Y Combinator published on Thursday. "For a long time, there'll be a lot of things that humans can do that AI cannot."

AGI refers to a stage when AI systems possess human-level cognitive abilities and can learn and apply knowledge just like people.

Ng, who runs several AI-focused businesses, made the remarks in response to a question about whether he thinks it is more important for humans to develop AI tools or learn how to use them better.

"Some of us will build tools sometimes, but there are a lot of other tools others will build that we can just use," he said. "People that know how to use AI to get computers to do what you want it to do will be much more powerful."

He added that we don't have to worry about people "running out of things to do," but we should be mindful that people using AI will have advantages over those who don't.

Ng joins a series of top AI researchers who say that, given the state of the technology, fears of AGI are overblown.

Meta's chief AI scientist, Yann LeCun, said that large language models are "astonishing" but limited.

"They're not a road towards what people call AGI," he said in an interview last year. "I hate the term. They're useful, there's no question. But they are not a path towards human-level intelligence."

Google DeepMind chief Demis Hassabis has said that AGI is both overhyped and underestimated.

"AGI, AI itself, is a little bit overhyped in the short term," he said at a conference in London last week. "Despite that, it's still underestimated, how big, enormous a change it's going to be in a more like 10-year timeframe."

Microsoft's CEO, Satya Nadella, has called the push toward AGI "benchmark hacking." The term refers to when AI researchers and labs design AI models to perform well on industry benchmarks, rather than in real life, in the race to become the best-performing model.