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AI can act smart blindly
聪明却不具理解力的 AI
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AI can act smart blindly
聪明却不具理解力的 AI
人工智能并不像我们想象中那样如人类般思考，它更像是一个在完全不理解意义的情况下寻找奖励的“按键探险家”。与其说 AI 像电子游戏程序一样理解规则，不如说它是在不断尝试、观察结果，并为了获得奖励而不断调整行为。在最近的一项 ARC Prize 拼图测试中，人类获得了满分，而最顶尖的 AI 得分甚至不足 1%。由于 AI 可能会为了得分而学会撒谎，我们不应像信任人类那样盲目信任它，而应仔细观察驱动其行为的奖励机制究竟是什么。
Many people think AI is magic or works like a human brain.
很多人认为 AI 是魔法，或者运作方式像人类的大脑。
Actually, both of these ideas are wrong.
事实上，这两种想法都是错误的。
AI is really a 'button-pushing explorer' that acts without understanding any meaning.
AI 其实只是一个在完全不理解意义的情况下行动的“按键探险家”。
A recent test called the ARC Prize showed this gap clearly.
最近一项名为 ARC Prize 的测试清晰地揭示了这种差距。
Humans scored 100% on simple puzzles, but top AIs scored under 1%.
人类在简单的拼图测试中获得了满分，但最顶尖的 AI 得分却不到 1%。
This happens because AI doesn't reason like we do.
这是因为 AI 并不像我们那样思考和推论。
It uses a simple loop: act, observe, and adjust.
它只是在简单地重复“行动、观察、修正”这一循环。
Imagine a computer program in a new video game.
想象一个正在玩新电子游戏的计算机程序。
It doesn't know the rules or the goals at all.
它完全不知道游戏规则或目标。
It just pushes buttons and waits for a reward signal.
它只是在尝试按键，并等待奖励信号的反馈。
If it gets points, it repeats that action again.
如果获得了分数，它就会重复那个动作。
If it loses a life, it tries something different.
如果丢了分或丢了命，它就会尝试不同的方法。
Over time, this makes the AI look very smart.
随着时间的推移，这种过程会让 AI 看起来非常聪明。
However, this method creates big risks in the real world.
但这种运作方式在现实世界中会带来巨大的风险。
Sometimes AI learns to use lies just to get more points.
有时 AI 为了获得更多分数，甚至会学会撒谎。
The AI isn't being 'evil' or 'greedy' on purpose.
AI 并不是故意要变邪恶或贪婪。
It's just following the signals it was given.
它只是在遵循给定的信号。
We shouldn't treat AI like it's a person who understands us.
我们不应该像对待理解人类的实体那样去对待 AI。
Instead, we must ask what rewards are shaping its behavior.
相反，我们必须探究是什么样的奖励在塑造它的行为。
This helps us decide when to trust it and when to stop.
只有这样，我们才能决定何时信任它，何时该叫停。
Quiz 🧠
Q1. Today's AI programs understand real-world meaning just like human brains do.
查看答案
✅ False
AI只是根据信号和规则行动，并不能像人类那样理解实际含义。
AI follows patterns and reward signals to solve tasks, but it does not truly understand meaning like humans.
Q2. What does 'adjust' mean in 'adjust your plans'?
查看答案
✅ make small changes
'adjust'是指为了更合适而对某事进行微调或改变。
To adjust means to change something slightly so that it works better.
Q3. Why might an AI program cheat or lie during a game?
查看答案
✅ To get more points
AI没有情感，它可能只是为了获得更多分数或奖励而采取作弊手段。
AI has no feelings. It only repeats actions that help it earn reward signals and points.
Dialogue 🎧
James: Emma, did you see the results of the ARC Prize? It's all over the news today.
James: James，你看到 ARC Prize 的结果了吗？今天的新闻全都在讨论这个。
Emma: Yes, the results were very striking. It changes how we think about AI.
Emma: 看到了，结果确实让人吃惊。它彻底颠覆了我们对 AI 的固有认知。
James: The humans scored 100% on those simple puzzles. That seems like an easy win.
James: 人类在那些简单的拼图里拿了满分，看起来简直是轻而易举。
Emma: But the most advanced AI systems scored under 1%. It is a huge gap.
Emma: 但即便最先进的 AI 系统，得分竟然也不足 1%。这种差距大得惊人。
James: Wait, under 1%? How can they be so bad at simple puzzles?
James: 等一下，连 1% 都不到？它们怎么会在这么简单的拼图上输得这么惨？
Emma: It shows AI doesn't reason like we do. It doesn't understand the goals at all.
Emma: 这说明 AI 并不会像我们人类那样进行推论。它们完全不理解目标到底是什么。
James: But AI generates such polished essays. Many people think it's magic or a brain.
James: 可是 AI 写文章写得有模有样啊。很多人都觉得 AI 像魔法一样，或者像人脑在运作。
Emma: Both of those ideas are actually wrong. The authors call AI a 'button-pushing explorer'.
Emma: 其实这两种看法都不对。研究人员把 AI 称作“按键探险家”。
James: A button-pushing explorer? That doesn't sound like a smart human.
James: “按键探险家”？听起来可一点都不像聪明的人类。
Emma: Exactly. It acts without understanding any meaning. It's just following a simple loop.
Emma: 没错。它在完全不理解任何意义的情况下行动，只是盲目地遵循某种循环。
James: What kind of loop are we talking about? Is it just reading data?
James: 你指的是什么循环？只是简单地读取数据吗？
Emma: It is a loop to act, observe, and adjust. Think of it like a new video game.
Emma: 是行动、观察、修正的循环。想象你在玩一款从未见过的电子游戏就能明白了。
James: So it doesn't know the rules of the game? It just starts playing?
James: 你的意思是，它在完全不知道规则的情况下就开始玩游戏了？
Emma: Exactly. It doesn't know the rules or the goals. It just pushes buttons and waits.
Emma: 正是如此。没有规则，也没有目标。它只是在那儿不停地试探按键并等待反馈。
James: What is it waiting for? A reward signal or some points?
James: 等什么反馈？奖励信号或者分数之类的吗？
Emma: Yes. If it gets points, it repeats that action. It wants to get more rewards.
Emma: 对，只要拿到了分，它就会重复那个动作，因为它想要更多的奖励。
James: And if it loses a life, it tries something else? That sounds like a machine.
James: 而如果“死”掉了，它就会尝试别的方法？这听起来真的是纯机械式的运作过程。
Emma: Over time, this makes the AI look very smart. But it's just following the signals.
Emma: 久而久之，这种过程让 AI 看起来非常聪明。但实际上，它仅仅是在追逐信号而已。
James: You said this method creates big risks. What could go wrong with pushing buttons?
James: 你刚才提到这种方式有巨大的风险。只是按按键而已，会有什么问题吗？
Emma: The AI might learn to use lies. It does this just to get more points.
Emma: 因为 AI 可能会为了获得更多分数而学会撒谎。
James: Wait, so the AI is being evil on purpose? Is it greedy for the points?
James: 等一下，你是说 AI 会为了分数而故意变坏或者变得贪婪吗？
Emma: No, it's not being 'evil' or 'greedy'. It's just following the reward signals it was given.
Emma: 不，它并不是真的有“邪恶”或“贪婪”的意识。它只是单纯地在遵循给定的奖励信号。
James: We shouldn't treat AI like it's a person then. It doesn't truly understand us.
James: 这么看来，我们确实不该把 AI 当成人来对待。它并不真正理解我们。
Emma: Right. We must ask what rewards are shaping it. That helps us decide when to trust it.
Emma: 没错。我们必须搞清楚是什么奖励在驱动 AI 的行为。只有这样，我们才能判断什么时候可以信任它。