# DeepMind的Hassabis认为人类正处"奇点"的山麓，而LeCun表示当前AI并不智能

- 来源：The Decoder：AI News（RSS）
- 作者：Matthias Bastian
- 发布时间：2026-05-24 20:54
- AIHOT 分数：60
- AIHOT 链接：https://aihot.virxact.com/items/cmpjs8qtp013ksl01f484x9p5
- 原文链接：https://the-decoder.com/deepminds-hassabis-sees-humanity-in-the-foothills-of-the-singularity-while-lecun-says-current-ai-isnt-intelligent

## AI 摘要

Yann LeCun认为当前AI系统并非真正智能。DeepMind的Demis Hassabis则认为人类已站在“奇点的山麓”。Gemini联合负责人Oriol Vinyals提出折中观点：今天的模型在七年前会像AGI，但它们仍无法从经验中学习或产出真正的突破。

## 正文

Deepmind's Hassabis sees humanity "in the foothills of the singularity" while LeCun says current AI isn't intelligent

Three top researchers, three takes on where AI stands right now.

Yann LeCun, AI researcher at AMI Labs, suggests that current LLMs aren't intelligent, because real intelligence doesn't show up in accumulated knowledge or learned skills but when you solve new problems without any prior training. He cites a paraphrase of psychologist Jean Piaget's position: "Intelligence is not what you know, it's what you do when you don't know."

LeCun is working on AI technology that goes beyond the Transformer LLMs we know today. He's argued in the past—even with a Deepmind researcher—that LLMs aren't what's needed for child-like learning, which itself would be a precursor for true intelligence.

Deepmind co-founder Demis Hassabis, usually known for his restraint, already sees humanity "standing in the foothills of the singularity," expecting a "profound moment for humanity." Those words will likely end up in the history books, no matter how things play out.

Hassabis said this at the close of his Google I/O 2026 keynote (1:50:17). He believes AGI is possible within the next five years, and when it happens, it'll be "10 times the industrial revolution at 10 times the speed."

Oriol Vinyals, co-lead of the Gemini program, splits the difference: today's models are strong at code and math, and reasoning keeps getting more general, he says. If someone had shown him these models seven years ago, he probably would've called them AGI. But the ability to learn from experience and produce real breakthroughs is still missing.

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