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      "label": "的好恶织成的?你是想探索新的音乐品位和风格吗?没问题。你可以轻",
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    {
      "label": "松地调整算法，让它完全随机地挑选5%的内容，为你播放印度尼西亚",
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      "label": "的甘美兰(Gamelan)",
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    {
      "label": "慢慢地，通过监测你的反应，人工智能甚至能判断出对你来说理想的随",
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    {
      "label": "机性程度，可能是上调至8%，也可能是下调到3%，让你既能探索新音",
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      "label": "乐，又不会觉得厌烦。",
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      "label": "另一种可能的异议，则是认为算法不见得知道该让情绪把我们带到",
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      "label": "哪里。刚和男友大吵一架之后，算法究竟是该让你高兴还是难过?它对",
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    {
      "label": "于“好”情绪和“坏”情绪的判断，会不会过于武断?或许有时候，它",
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      "label": "觉得伤心也不见得是件坏事?当然，这些问题就算是人类音乐家和音乐",
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    {
      "label": "节目主持人也会遇到。但放到算法领域，这个难题就会有许多有趣的解",
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    {
      "label": "决方案。",
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      "label": "方案一，让使用者自己选择。你可以自己评估情绪，再让算法依你",
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    {
      "label": "的指示行事。不管你是想沉湎于自怜中还是兴奋地跳起来，算法都会像",
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    {
      "label": "个奴隶般乖乖听你的话。算法也确实有可能学会在你自己还毫无察觉的",
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      "label": "情况下，就判断出你到底想要什么。",
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      "label": "方案二，如果你不信任自己，则可以先挑选出你信任的著名心理",
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      "label": "学家，再让算法听那位心理学家的建议就可以了。比如，如果男友甩",
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      "label": "了你，算法或许能够协助你走过理论上“悲伤的五个阶段”：先用博",
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    {
      "label": "比·麦克费林(Bobby",
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    {
      "label": "Worry，",
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    {
      "label": "Morisset",
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    {
      "label": "用雅克·布雷尔(Jacque",
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    {
      "label": "保罗·扬(Paul",
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    {
      "label": "024",
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