For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence?
Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important qu...
For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence?
Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.
A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word.
作者简介
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Jeff Hawkins is the cofounder of Numenta, a neuroscience research company; founder of the Redwood Neuroscience Institute; and one of the founders of the field of handheld computing. He is a member of the National Academy of Engineering and author of On Intelligence.
Knowledge in the brain is distributed. Nothing we know is stored in one place, such as one cell or one column.
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This is why we call it the Thousand Brains Theory: knowledge of any particular item is distributed among thousands of complementary models. (查看原文)
I believe the future of AI will be based on brain principles. Truly intelligent machines, AGI, will learn models of the world using maplike reference frames just like the neocortex. (查看原文)
Interesting discussion on human vs machine intelligence. Even today we DONT have real machine intelligence (yet). Human rather than machine is causing existential threat to humanity (false beliefs and...Interesting discussion on human vs machine intelligence. Even today we DONT have real machine intelligence (yet). Human rather than machine is causing existential threat to humanity (false beliefs and old brain taking over). Chapter on human estate planning raises issues worth thinking about. (展开)
幸亏有像Musk和Hawkins这样的执着求知，愚蠢和野蛮才不会阻挡人类前进的脚步。Hawkins是Palm的创始人，但一生痴迷的是深入理解新皮质neocortex。他提出颠覆性的framework ，继而通过反向工程新皮质和思维模式来创立全面人工智能(Artificial General Intelligence)，而不只是单...
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洛奇
misaki
浙江教育出版社2022版
封驰
浙江教育出版社2022版
左其盛
浙江教育出版社2022版
角木蛟
浙江教育出版社2022版
0 有用 豆丁 2022-03-31 03:53:52
只有Part 1是干货。part2part3匆匆翻了下没有什么特别insightful的。理论挺thought provoking但需要polish的地方太多，不能完美解释cognitive behavior（说有多大创新我觉得也谈不上就是把流行的hierachical改成parallel）和离能realized 的距离million miles away
0 有用 穆艺 2022-01-16 02:54:30
一本关于intelligence的书，作者把自己的观点表达得很清楚，就是扯得有些远了。。。对他的理论，表示谨慎的半信半疑，过几年再判断吧。作者提出人类传承，智力和知识比基因传承更有意义，倒是很有趣。或许上帝在暗笑，你们还能改了我的规则。
0 有用 崔瑀🐨 2023-06-20 10:31:28 北京
神书
0 有用 skymonkey 2021-12-29 12:13:36
断断续续读完。前半是科普脑科学和认知学科一些研究成果，试图给AI找一条新路；后半部是卡尔萨根附体。可以一读。
4 有用 宋四月 2022-03-14 00:13:41
无视那些无知的短评，绝对值得读。
0 有用 Katie 2024-04-25 13:28:01 广东
Interesting discussion on human vs machine intelligence. Even today we DONT have real machine intelligence (yet). Human rather than machine is causing existential threat to humanity (false beliefs and... Interesting discussion on human vs machine intelligence. Even today we DONT have real machine intelligence (yet). Human rather than machine is causing existential threat to humanity (false beliefs and old brain taking over). Chapter on human estate planning raises issues worth thinking about. (展开)
0 有用 当Yaz如是说 2024-03-21 14:04:34 美国
非常清晰的思路：人脑智慧 -> AI -> 智慧存在意义。 读起来非常轻松有趣，而且让我有了一个新脑洞：火星会不会成为下一个“美国”，也就是移民圣地？到时候会不会因为人类骨子里的selfish genes大家都嫌弃地球往火星跑？ 另外，我也受到启发更想和人类（甚至外星人）公开分享知识，说不定，等我们灭绝，他们几百万年后捡到，就不用重新研究一遍物理化学生物历史了。
0 有用 钢牙侠AIK 2023-10-03 20:40:42 四川
值得一读，尤其是第一部分。很多评论说实证不够过于浅显，但是真的只有常年在某个领域深入工作的人才能有“浅出”的insight和整体理论，即便是说“不知道”的信心；我们这种水货才爱反反复复每一句话都引用文献生怕哪句没有背书…
0 有用 oleander 2023-08-28 11:06:22 上海
其实更像哲学思考
0 有用 缃帙 2023-08-05 07:45:24 英国
书中的观点—一千多个内部模型帮你预测世界，以及未来人类的走向，还是非常具有吸引力的