Why Greatness Cannot Be Planned — Kenneth Stanley
推荐理由
It really changed my perspective on achieving my long term goals
强烈推荐ZephyrBlu · 原文
说明
这是2021年由Machine Learning Street Talk发布的一部访谈,主题归在Machine learning & deep learning。它讲的是open-endedness这一支里的具体问题,而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成:A long Machine Learning Street Talk interview with Kenneth Stanley, creator of NEAT and novelty search, about his book on why greatness cannot be planned. They discuss open-endedness, the tyranny of objectives, serendipity and the evolution of ideas.这些读者给出的理由,核心是:Recommended to people who find it inspiring or perspective-changing on pursuing goals, open-ended search and AI beyond optimization.讲法不绑某一条新闻,过几年仍然可以当材料看。从2021年到2024年,有4位不同的读者在5个不同月份把它推荐出来,其中明确叫别人去看的有2次。适合想听当事人怎么做取舍的人。重点是他为什么当时那样选。如果已经会了基本定义,就把注意力放在它怎么把open-endedness变成能跟着复述的例子。
视频信息
- 频道
- Machine Learning Street Talk
- 时长
- 2 小时 46 分
- 发布年份
- 2021
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