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如同力学一样，牛顿用数学方法揭示出世界运行的力学定律，却无解于力的来源。
人工智能发展到今天，大模型作为一种 “数学+大算力”已经可以解释复杂网络系统，可以作为智能行为的决策模型，在模式识别、自动推理等方面都取得了突破性进展，在语音识别、图像识别、对话、机器翻译等具体领域大杀四方。似乎基于向量和张量表示的复杂网络就是智能的载体。
可是，基本的问题在于，现在的大模型是需要外部输入的，还没有自我意识。大厂的工程师尝试让两个AI互相对话，从而聊个不停，似乎机器人可以思考了。但这和一个机器人独立自主地进行智能思维是两码事。
在动物身上，我们可以看到喜怒哀乐，可以争斗，可以觅食，甚至可以使用一些简单的天然工具，但他们也很难说有思考的过程。那么动物的聪明伶俐，是不是智能呢？
自我意识，和求生的源动力是否一致？小到病毒、细菌都会不停地变异，生命的力量从何而来？求新、求变还是求生存？DNA似乎揭示了遗传的密码，但是为什么会有DNA令人难以琢磨。
物质、生命体、智慧体、人类，这每一步的跨越是如何产生的？又是什么力量在推动？
语言，是人类思考的工具和媒介，没有语言，思考是零碎的、短暂的。即使有了口语，思维也并不能与书面语相提并论。外化的符号系统，让人类的思考，有了外化的依托。因为写下的每个字，让人可以快速把握住思维的链条，继续向下发展。也许有人说，语言不能决定思维，思维在语言出现之前就存在。但是语言这个媒介的出现，它的发展，让思维上升了几个台阶，成为思维、思考的关键工具。
这个源动力，就好似一股元气，它本身并不做什么，也做不了什么，但是一旦给了它载体，它可以乘势而上。物质的多样性、生命的进化、智慧的起源，好似都源于同一种力量，同一股元气。就像一串DNA，并不能做什么，但是让它有了能量，有了营养和物质扩展，长大以后，可以四处活动，可以手工作业，可以思维，可以创造。
写到这里，不是想回归“道生一，一生二”的诗性论述，而是在技术爆发的今天，还是想坚持，在大模型的背后，看看对本原问题有没有真正推进，还有哪些事情依然要做。
当我问ChatGPT，智能的第一推动力是什么的时候，它不假思索地综合了现有的研究，并没有解决这个问题：
The primary driving force behind intelligence remains a topic of ongoing scientific inquiry and debate. Various theories attempt to explain the origin and development of intelligence, but there is yet to be a single, universally accepted explanation. Some prominent theories include:
Evolutionary Theory: This theory suggests that intelligence evolved through natural selection. As species faced challenges in their environments, those with advantageous traits, such as enhanced cognitive abilities, had a better chance of survival and reproduction. Over time, these traits became more prevalent, leading to the development of intelligent beings.
Genetic Factors: Genetics also play a significant role in intelligence. Studies have shown that certain genes are associated with higher intelligence, although the exact mechanisms and interactions of these genes are still being studied.
Environmental Factors: The environment also has a profound impact on intelligence. Factors such as early childhood experiences, education, nutrition, and social interactions can all influence cognitive development. Positive environmental factors can enhance intelligence, while negative ones can hinder it.
Neuroplasticity: The brain's ability to change and adapt in response to new experiences, known as neuroplasticity, is crucial for intelligence. As individuals learn and acquire new knowledge, their brains form new connections and pathways, strengthening their cognitive abilities.
In summary, while there is no single definitive explanation for the driving force behind intelligence, it is likely a complex interplay of evolutionary, genetic, environmental, and neurological factors.
再追问一下，你自己怎么想的？
As an AI language model, I don't have personal experiences or the ability to compute or deduce information independently. My responses are based on patterns in data up to my last update in September 2021. However, I can provide you with synthesized information based on existing knowledge and research.
Intelligence is a multifaceted phenomenon influenced by various factors, including genetics, environment, education, and experiences. It arises from the intricate workings of the brain, such as neural connections, cognitive processes, and problem-solving abilities. The development of intelligence likely stems from a combination of evolutionary pressures, genetic predispositions, and environmental stimuli.
In essence, intelligence can be seen as a complex interplay of biological, environmental, and experiential factors that shape an individual's cognitive abilities and adaptive behaviors. Ultimately, the driving force behind intelligence may be the dynamic interaction between genetic predispositions and environmental influences that allow for the emergence of complex cognitive functions in humans and other intelligent beings.
善用大模型，权且当做体脑的扩展吧。
人类的思考仍是有价值的，科研还要继续，本原还需追问，虽是千年老难！
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