少点错误 2024年09月10日
What bootstraps intelligence?
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文章探讨了智能的起源,认为其基础是抽象,驱动力可能来自交流需求,且抽象受多种因素影响,如有用性等,最终智能可能通过分享有用工具/抽象来帮助自身更好地生存。

🧐智能的基础是抽象,我们会抛弃大量信息,强调其中的一部分,比如用'苹果'这个词代替对其所有原子及位置的描述。

🤔形成抽象的驱动力可能源于我们与他人交流的欲望,由于交流带宽有限,我们会寻找最有效的传达方式,从而导致抽象的产生。

😮我们在遇到的情况中注意到一些方面,并期望在未来的情况中再次发现,于是形成了抽象,'苹果'便成为所有类似的、甜的且可食用的物体的有效占位符。

🤓语言在效率和保真度之间进行权衡,我们想传达自己的意思,但不能花费过多能量,也不能太少,因为交流渠道可能有噪声。

😕对于同一信息有无限多的抽象可能,但我们会根据有用性来选择,如在数学中,因为我们有10个手指,所以十进制数系统比九进制更易计数。

Published on September 10, 2024 7:11 AM GMT

Cross post from: https://invertedpassion.com/what-bootstraps-intelligence/

A musing on how intelligence comes to be.

The bedrock of intelligence is abstractions – the thing we do when we throw away a lot of information and just emphasise on a subset of it (e.g. calling that thing an apple instead of describing all its atoms and their x, y, z positions).

But where does the drive to form abstractions comes from? What if it rose from our desire to communicate with others? Since communication bandwidth is always limited, we are driven to find most efficient way of getting an idea across which leads to abstractions. Imagine a world where energy and time is unlimited, we might be communicating all x,y,z positions of things instead of putting labels on them.

We form abstractions when we notice some aspects of situations that we have encountered so far that we expect to find again in future situations. So the label “apple” becomes an efficient placeholder for all apple-like objects that are sweet and can be eaten.

It’s interesting to note that languages navigate a tradeoff between efficiency and fidelity. We want to communicate what we mean but we cannot spend enormous amount of energy on it. But we can’t spend too less energy too since communication channels are noisy and the recipient may not understand what we mean.

But since infinitely many abstractions for the same information is possible, how do we select which one to use? For example, why did the Arabic numbering system win over other alternative abstractions of numbers? Well, our abstractions are grounded by usefulness. In math, base-10 number system beat base-9 number system because we have 10 fingers and hence easier to count in base-10. (Of course, historical accidents may lead to initially inefficient systems such as Gregorian calendar to get adapted).

Why do we need to communicate useful abstractions? Because we are driven to co-operate by virtue of our shared gene pool. We know sharing useful abstractions are going to help the copies of our genes spread.

In summary, intelligence may have bootstrapped via the drive to help copies of ourselves survive better by sharing useful tools/abstractions.

PS; I find it interesting that in almost all AGI architectures, there’s no notion of replication, genes, survival, efficiency, inter-agent communication, energy, etc. – which might ultimately prove to be a useful framework in which intelligence arises naturally.



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智能起源 抽象 交流 有用性 语言权衡
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