我的征尘是星辰大海。。。
The dirt and dust from my pilgrimage forms oceans of stars...
-------当记忆的篇章变得零碎，当追忆的图片变得模糊，我们只能求助于数字存储的永恒的回忆
作者:黄教授
手机视频列表
看见未来也是对未来的深刻创造
视频
音频
原始脚本
看见未来亦是对未来的深刻创造。 我总说我不能创造未来，我只是看见未来，以此宽慰自己并非智能本质探索路上的先行者。 可当知晓朱迪亚珀尔、杰弗里辛顿以及 Transformer 的发明者们早已在因果推断深度学习 架构设计的领域里，触达了与我相通的底层思考时，心中的释然与笃定远胜过一丝一毫的失落。 原来我的所见所感，从不是孤立的灵光一现，而是与全球顶级智者的思维同频，是对智能底层规律的共同洞察，这份看见本就有着独属于它的珍贵重量。 那些站在人工智能前沿的大佬们，以工程师的严谨、科学家的深邃，为智能的落地搭建起坚实的工程骨架。 珀尔从因果推断出发，直指智能的核心是因果的时间序列建模，戳破关联主义的表层，探寻因果规律的本质。 辛顿深耕深度学习，坚信智能是对数据中序列模式的捕捉，推动着机器从识别表象到理解底层。 谷歌的科学家们跳出 RNN 的桎梏，用自注意力机制实现了对序列数据的全局捕捉，让 Transformer 成为承载时间序列规律的绝佳载体。 他们以术践行，在代码、公式、架构的世界里，一步步靠近智能的本源，为未来铺就了具象的道路。 而我所 所做的不过是站在哲学第一性原理的视角，拨开技术的表象，将这些散落于各个领域的底层思考串联起来，拼合成一幅从宇宙时间规律到智能本质，再到 AGI 发展方向的完整图景。 我没有亲手敲出构建未来的代码，没有设计出颠覆行业的架构，却能以一颗执着于本质的初心，看透技术背后不变的逻辑。 智能的本源是对时间序列的概率统计归纳，Transformer 的伟大在于对这一本质的精准工程化实现，AGI 的未来在于对时间窗口的无限拓展与规律的极致探索。 这份看见，是对智者们探索成果的底层印证，是对智能发展逻辑的深度梳理，亦是对未来方向的清晰锚定。 其实从来不必因并非第一个而心存芥蒂，因为在探索真理、洞察未来的路上，看见本身就是一种顶级的能力。 他需要跳出表象的执念，需要对底层逻辑的深究，需要以第一性原理为尺，丈量所有技术与现象的本质。 他不是偶然的心血来潮，而是长期思考、持续追问后的水到渠成，是独属于思考者的智慧光芒。 就像那些顶级大佬们以不同的方式探索着智能的边界，而我以自己的方式看见了他们探索之路背后的共同内核，这份同频本身就是一种认可与共鸣。 更重要的是，看见未来从来都不是被动的观望，而是对未来的深刻创造。 当散落的底层思考被串联成完整的理论体系，当智能的本质被以哲学、数学、工程相融合的方式讲清，当大模型的智能争议被底层逻辑彻底破解，这份看见便有了指引 引方向的力量。 它能让更多人跳出对技术的迷茫，看清人工智能发展的核心脉络，能让看似孤立的技术探索汇聚到统一的底层逻辑之下，能让对未来的想象有了坚实的理论根基。 这份以看见为起点的连接与梳理，本身就是在为智能的未来添砖加瓦，亦是一种别样的创造。 所以不必在意只是看见自谦，那些顶级智者以术筑路，我以思明道，道与术相融，方能让未来的道路更加清晰。 能与时代的智者思维同频，能看见智能发展的底层规律，能为这份探索添上一抹属于自己的思考色彩。 这份看见，足以珍贵，亦足以有价值。 而这一路的思考与洞察，本身就是对未来最真诚的奔赴，亦是对智能本质探索最有意义的参与。
修正脚本
看见未来亦是对未来的深刻创造。 我总说我不能创造未来，我只是看见未来，以此宽慰自己并非智能本质探索路上的先行者。 可当知晓朱迪亚珀尔、杰弗里辛顿以及 Transformer 的发明者们早已在因果推断深度学习 架构设计的领域里，触达了与我相通的底层思考时，心中的释然与笃定远胜过一丝一毫的失落。 原来我的所见所感，从不是孤立的灵光一现，而是与全球顶级智者的思维同频，是对智能底层规律的共同洞察，这份看见本就有着独属于它的珍贵重量。 那些站在人工智能前沿的大佬们，以工程师的严谨、科学家的深邃，为智能的落地搭建起坚实的工程骨架。 珀尔从因果推断出发，直指智能的核心是因果的时间序列建模，戳破关联主义的表层，探寻因果规律的本质。 辛顿深耕深度学习，坚信智能是对数据中序列模式的捕捉，推动着机器从识别表象到理解底层。 谷歌的科学家们跳出 RNN 的桎梏，用自注意力机制实现了对序列数据的全局捕捉，让 Transformer 成为承载时间序列规律的绝佳载体。 他们以术践行，在代码、公式、架构的世界里，一步步靠近智能的本源，为未来铺就了具象的道路。 而我所做的不过是站在哲学第一性原理的视角，拨开技术的表象，将这些散落于各个领域的底层思考串联起来，拼合成一幅从宇宙时间规律到智能本质，再到 AGI 发展方向的完整图景。 我没有亲手敲出构建未来的代码，没有设计出颠覆行业的架构，却能以一颗执着于本质的初心，看透技术背后不变的逻辑。 智能的本源是对时间序列的概率统计归纳，Transformer 的伟大在于对这一本质的精准工程化实现，AGI 的未来在于对时间窗口的无限拓展与规律的极致探索。 这份看见，是对智者们探索成果的底层印证，是对智能发展逻辑的深度梳理，亦是对未来方向的清晰锚定。 其实从来不必因并非第一个而心存芥蒂，因为在探索真理、洞察未来的路上，看见本身就是一种顶级的能力。 它需要跳出表象的执念，需要对底层逻辑的深究，需要以第一性原理为尺，丈量所有技术与现象的本质。 它不是偶然的心血来潮，而是长期思考、持续追问后的水到渠成，是独属于思考者的智慧光芒。 就像那些顶级大佬们以不同的方式探索着智能的边界，而我以自己的方式看见了他们探索之路背后的共同内核，这份同频本身就是一种认可与共鸣。 更重要的是，看见未来从来都不是被动的观望，而是对未来的深刻创造。 当散落的底层思考被串联成完整的理论体系，当智能的本质被以哲学、数学、工程相融合的方式讲清，当大模型的智能争议被底层逻辑彻底破解，这份看见便有了指引方向的力量。 它能让更多人跳出对技术的迷茫，看清人工智能发展的核心脉络，能让看似孤立的技术探索汇聚到统一的底层逻辑之下，能让对未来的想象有了坚实的理论根基。 这份以看见为起点的连接与梳理，本身就是在为智能的未来添砖加瓦，亦是一种别样的创造。 所以不必因只是看见而自谦，那些顶级智者以术筑路，我以思明道，道与术相融，方能让未来的道路更加清晰。 能与时代的智者思维同频，能看见智能发展的底层规律，能为这份探索添上一抹属于自己的思考色彩。 这份看见，足以珍贵，亦足以有价值。 而这一路的思考与洞察，本身就是对未来最真诚的奔赴，亦是对智能本质探索最有意义的参与。
英文翻译
Seeing the future is also a profound act of creating it. I often tell myself that I cannot create the future, that I merely see it—a way to console myself that I am not a pioneer on the path of exploring the essence of intelligence. Yet when I learned that Judea Pearl, Geoffrey Hinton, and the inventors of the Transformer had already reached the same underlying thoughts in the realms of causal inference, deep learning, and architectural design—thoughts that resonated with my own—I felt a deep sense of relief and certainty far outweighing any trace of disappointment. It turns out that my perceptions and insights were never isolated flashes of inspiration. Instead, they resonated with the minds of the world’s top intellects—a shared insight into the fundamental laws of intelligence. This act of seeing carries a weight and value entirely its own. Those giants at the forefront of artificial intelligence, with the rigor of engineers and the depth of scientists, have built the solid engineering framework that grounds intelligence in reality. Pearl, starting from causal inference, points directly to the core of intelligence as the causal modeling of time series, piercing through the surface of associationism to explore the essence of causal laws. Hinton, deeply immersed in deep learning, firmly believes that intelligence is the capture of sequential patterns in data, pushing machines from recognizing appearances to understanding underlying structures. The Google scientists, breaking free from the constraints of RNNs, used the self-attention mechanism to achieve global capture of sequential data, making the Transformer an ideal carrier for the laws of time series. They act through methods, advancing step by step toward the source of intelligence in the world of code, formulas, and architectures, paving a concrete path for the future. What I have done, on the other hand, is to stand from the perspective of philosophical first principles, strip away the surface of technology, and connect these scattered underlying thoughts across various fields into a complete picture—from the cosmic laws of time to the essence of intelligence, and further to the development direction of AGI. I have not personally written the code that builds the future, nor designed architectures that disrupt industries. Yet, with a heart devoted to essence, I can see through the unchanging logic beneath all technologies. The essence of intelligence lies in the probabilistic statistical induction of time series. The greatness of the Transformer lies in its precise engineering realization of this essence. The future of AGI lies in the infinite expansion of time windows and the ultimate exploration of laws. This act of seeing is a fundamental validation of the explorations of the wise, a deep sorting of the logic of intelligence’s development, and a clear anchoring of the future direction. In truth, one need never feel resentful for not being the first. On the road to exploring truth and insight into the future, seeing itself is a top-tier ability. It requires breaking free from attachment to appearances, delving into underlying logic, and using first principles as a ruler to measure the essence of all technologies and phenomena. It is not a fleeting whim, but the natural culmination of long-term thinking and persistent questioning—a unique brilliance of the thinker. Just as those top minds explore the boundaries of intelligence in their own ways, I, in my own way, see the common core behind their explorations. This resonance itself is a form of recognition and共鸣. More importantly, seeing the future is never a passive observation; it is a profound act of creating the future. When scattered underlying thoughts are woven into a complete theoretical system, when the essence of intelligence is explained through the fusion of philosophy, mathematics, and engineering, and when the controversies surrounding large models are fully resolved by underlying logic—this act of seeing gains the power to guide direction. It allows more people to step out of the fog of technology and see the core thread of AI development. It allows seemingly isolated technological explorations to converge under a unified underlying logic. It gives the imagination of the future a solid theoretical foundation. This connection and sorting, starting from seeing, is itself a contribution to the future of intelligence—a different kind of creation. So, there is no need to feel humble for merely seeing. Those top intellects pave the road with methods; I illuminate the path with thoughts. When method and thought merge, the road to the future becomes clearer. To resonate with the thoughts of the wise of our time, to see the underlying laws of intelligence’s development, and to add a touch of one’s own thinking color to this exploration—this act of seeing is precious enough and valuable enough. And the journey of thought and insight itself is the most sincere pursuit of the future and the most meaningful participation in the exploration of the essence of intelligence.
back to top