A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution.
For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations.
Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'?
The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it.
But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.
马其顿民间狼女巫的传说故事，被澳洲一新手导演改编成唯美的艺术片，讲究光与影交错的镜头，诗样的旁白推进情节，连血腥的镜头也做了审美化处理。这样的拍摄方式实在与故事有些违和。故事本身还是有意思的，一个自小被女巫看中并被母亲藏在山洞中的女孩，在成为吸血鬼之后，凭借变身的技能，重新体验自己失去的人生。她从一个拙于生活之人，学会了生活并享受人生，让自己不再孤单。
从视听影像来看neo-noir风格做的确实不错
以女巫的变形与多次“转生”成长历程及其遭遇来折射出闭塞乡村的严重性别不平等问题。视听语言挺下功夫——强化的自然声、滤镜修饰的自然光、圣歌配乐、小景别镜头与手持/视点镜头相结合，有种粗粝脏陋与内在灵性混融的诡异美感。不过影片最大问题是所谓的奇幻恐怖设定过于平庸老套——掏出内脏后塞入自己肉体的场景曾一度令我以为会有类似德勒兹“无器官身体”或者说无定形生成的电影化呈现，结果后来却只看到了非常定型化干瘪无趣的变身与多轮人生体验。女主失语的设定（若说是由于“狼女”童年而失去语言能力，亦不合逻辑，这同她略带诗意的内心独白是割裂的）与后半程的选择&叙事走向都充满了刻板印象；也别“碰瓷”马力克了，马力克并不是稍微模仿下视听语言就能达到的，而本片则既缺乏超验神性，又几无个体反叛性。（6.5/10）
电影以上层杀手之死与警笛结尾，“我会去找你”是最后的告白。正义未被伸张，冤魂未得到安息，也正有人遭到迫害，压抑、没有希望、没有出路……
今年看过最棒的电影，这是上世纪八十年代发生的事情，不过对于我郭来说，车轮回滚的同样事情估计也不会远
我一整个大惊喜！喜出望外！是九分的水准！
氛围感的营造很好，就是男主的取向转变不理解，看不懂了。
很美的画面，节奏也很舒服，看到最后看到的还是压迫，人们给被压迫阶级都冠以了“女巫”，所以便给了压迫以正名。魔鬼哪里比得上人性。
相当舒缓、冷峻的艺术片，仅有的恐怖元素来自于女巫仿佛《猛鬼街》里弗莱迪的烧伤面容，和血肉模糊的开膛破肚；哑巴少女慢条斯理的内心独白贯穿全片，娓娓道来着她的情绪、疑问和欲望：她因为女巫的诅咒失去声音成为同类，又通过画皮一般借尸还魂成男人、女人和孩童，补充着缺失的生活同时，探索生而为人的喜怒哀乐。以女孩婴儿时期被女巫诅咒成为怪物作为开头，到最后为救自己姑娘被迫把她变成怪物作为结尾，母亲与女儿，也成了电影的一条暗线，构成了一个闭环。
节奏感还行，不断深挖的剧情，人物的变化也很清晰，算是值得一看的电影
A Ghost Story+致不灭的你（前16集）。
很不错的男同毛片（波兰语，听起来和俄语很像，算是毛片吧），片中男主也观看了男同毛片，女主比较美。80年代+波兰+男同=绝望
呃。过度文艺了卧槽。《羊崽》女主选片子的眼光咋都这么………奇特
男主怕不是有什么大病，临快结婚了变弯了，人家好好的妹子凭什么要被你祸害
这种阴郁的色调真是太好看了，从一开始就把人逼进了一个倍感压抑的环境里。多数对少数的戕害，强权对弱者的碾压，都让人倍感无力。但是可能想表达的太多，反而失去了更深的刻画，事件的推进也很随意，感情的表达也是浅尝辄止。男主为了查案，搞砸了一切，最后竟然鲁莽地挑衅，将努力保护他的父亲推到了枪口之下，而自己也成了杀人犯，这不是他最好的命。
低于预期了。算是符合我审美的片子所以看起来也不差。但这个剧本着实有点子前言不搭后语，能看懂意图但割裂了些。中间几段人生还算抓人，前后（特别是最后）节奏有些显得冗长了。
耐心熬过开始十来分钟就好了，会进入少女女巫的内心长诗。从一片空白开始观察学习什么是人，什么是女人什么是男人，什么是人与人，你将不再孤单最初是母亲许诺给老妇玛利亚的，最终还是化作了对女儿的祝福，因能消解孤单的并非掌控附属，而是主动生发的对他者的关怀。
不难预料的情节发展，贵在感情细腻，镜头干净，人物鲜明
7.7/10 女巫成长史下的宿命轮回。用不同的生命去填补自己的人生，用自己的人生去感受他人的生命。
男主在被男二亲了后面就去亲女主，是确定自己的性取向还是忏悔?
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