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即是补充支撑信息 又是噪音干扰消耗

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若非我族类,对我欺压 那就要除掉这个,显性区分 若是我族类,对我压迫 那就要抱怨自己,为何无能

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反智主义的一个源头 就是对财富积累的 过分崇拜和错误认识

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市场倾向于集中和泡沫 群体需要使之去中心化

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一百年前 那也是蛮荒的盲信时代

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人想理解世界 但是理解歪歪了 反而年龄越大偏见越多

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压缩后来解题快 不压缩表面进展多

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从多邻国出语法题,以及国际象棋来看 它就没理解学习的本质,只不过语言凑巧这么解决比较好

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when we learn, we learn features. objects may not shared, but features might.

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sigmond function就很美丽 不是那么基础,也不是那么复杂 性质又那么的有利于解决问题

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Key things that may stuck you 比如说,不记得 矩阵 是 row 乘以 col 比如不知道第一个index 是row 就会很难受,虽然很简单

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节目效果: 1. 戴维营 是 艾森豪威尔 的孙子命名的 2. 这个戴维和尼克松的女儿结婚了 3. 两人来中国访问时,受到了毛泽东接见 4. 戴维营 以前叫做 香格里拉,是罗斯福给起的名字

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Focusing on solve the problem instead of having entertainment values
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Increase the probability of learning deep and smooth
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don't use quiz, it has too much epistemic cost it will prevent the students from learning
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People don't lack of interests but weak in brain power


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智力暴民的胜利
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从认知上来说,确实是有时候,一个更加通用的认知 是更为有效的解决你的问题
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Exploration fast instead of exploitation deep
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our almost unlimited ability to ignore our ignorance
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Judge based on noisy compression.

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I always give unrewarded kindness, unless I realize you are extremely not worth the investment.

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To compress, we need redundant information. Many easy and repeated information.

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A reliable way to make people believe in falsehoods is frequent repetition, because familiarity is not easily distinguished from truth. Authoritarian institutions and marketers have always known this fact.
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The idea that the future is unpredictable is undermined every day by the ease with which the past is explained.” SUPER lossy compression.
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acquisition of skills requires a regular environment, an adequate opportunity to practice, and rapid and unequivocal feedback about the correctness of thoughts and actions


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个人命运在大时代面前显得渺小 换个角度,个人的明智在集体的愚昧面前,也无济于事

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Understanding why and history background gives you more words, but not necessary high utility for you to pay attention to in the begining.

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人生真的很短暂,时间真的很宝贵 但是,想深入掌握知识,也真的是很消耗时间

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The Internet trains us to be “surface swimmers,” adept at skimming and scanning, but uncomfortable with the mental effort required for rich, sustained thought.

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我问gpt最多的不是问题,而是 expand and explain 也就是说,我是在找一些我之前不太熟悉的词汇 更加深入的去了解相关的词汇连接

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今天又研究了一下 数理逻辑 其实一个关键的问题,就是如果你理解了 关键特征 也就是通过简单例子,理解 关键特征 很多事情就容易了,比如,理解 如何用 PA 去表示 power 其他的问题,都是某个特征的反复应用,而低成本的去体会和把玩一个特征,是高效的理解某个压缩的概念

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Association, compression, repetition Memes, Markov Blankets
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Compression is to reduce the number of association. Less crowded vocabulary. Machine learning is basically compression.
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我在大学的时候,爱说,解决方案大于全面知悉 本质上大多数的学习行为都是压缩,科研是探索 science can be seen as compression of raw experience into compact, reusable models

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If i can't program it, I don't understand it.

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读书的时候,就有种, even though it is not worth the expansion or overload it is unzipped to me
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The necessity of unzipping is your responsibility now.

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把2022年12月10日问GPT的问题,再给GPT问一遍

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Core & More

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在一个大家都在提供价值的环境下 那就没有太多零和博弈,也就没必要比较 而是要庆幸有那么多人可以通过改善自己的生活而成功 但对于那些强盗,那就另当别论了

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If It Doesn’t Suck, It’s Not Worth Doing


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Mr beast and speed's videos have high percieved epistemic gain and real low epistemic cost

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词汇 压缩 重复