# 新论文定义AGI："人工科学家"模型

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-05-24 18:57
- AIHOT 分数：39
- AIHOT 链接：https://aihot.virxact.com/items/cmpjp0z1i00bosl01uijgads5
- 原文链接：https://x.com/rohanpaul_ai/status/2058502661855694865

## AI 摘要

一篇新论文提出对通用人工智能（AGI）的明确定义，认为AGI是一种“人工科学家”。该模型需要像人类科学家一样，具备自主规划实验、学习因果关系、平衡探索与行动的能力。其核心在于适应性，即能在计算、记忆和能量限制下，像人类科学家一样广泛、高效且科学地适应新环境和任务，评判标准是其发现和适应能力，而非通过拟人化测试。

## 正文

Interesting paper 😀

"What the F*ck Is Artificial General Intelligence？"

Defines intelligence as adaptability under limits of compute， memory， and energy.

So AGI is a system that adapts at least as generally as a human scientist

That means it should be able to plan experiments， learn cause and effect， balance exploration and action， and operate with autonomy.

The paper calls this type of AGI an artificial scientist， because it is judged by its ability to discover and adapt across many tasks， not just by passing human-like tests.

So AGI is not just "human-level AI" but a whole system that can adapt broadly， efficiently， and scientifically， at least as well as a human scientist.

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arxiv. org/abs/2503.23923