2021 山水之间冬令营第三天日记

今天上午的主要活动是学习写剧本,一是因为上午在下雨,二是因为昨天的户外活动比较剧烈,大家体力上需要恢复。

我为什么要安排这么多的时间来培养学生写剧本,或者组织大家讲原创故事?有几个原因:

一是培养大家坚持和尊重原创的意识。写作文很容易落入俗套,范文很多,但剧本基本上他们都没读过,应该没范文。

二是我希望丰富学生的写作技巧,打开他们的文学视野,剧本的写作需要考虑镜头化语言、有个性的人物对话等,这些是可以放到以后的作文里,让老师眼睛一亮的。

三,一方面我们要接触大量的电影电视剧,但国内孩子对舞台表演和剧本相对都比较陌生,我希望山水之间冬令营的学生中间今后走出几个从事影视剧创作的。

我开始是将学生分为三组,三个人一组,各自写一个故事。为了将这些少年的关注点从魔幻和童话拉回到人间烟火,我要求所有人的故事都必须有一个主角,这个主角是一个城市清洁工。

大概一个小时之后,三个小组都完成了各自的故事梗概。大家一起投票选出比较打动人而且原创性比较强的那个故事,三个组重新在这个故事的基础上分别进行改编,修改成一个只有一幕的剧本。

大家选出的这个故事基本情节是:

一个清洁工清早在大街上扫地,忽然一辆面包车飞快地开了过来,后面一辆警车在紧追不舍。在街角一个转弯的地方,面包车里飞出来一个袋子,掉在路边一个黑暗的角落,警车从后面追了上来,并没有看到这个袋子,继续往前冲,去追那个面包车。

这一幕被黑暗中的清洁工看到了,他打开了这个袋子,发现是一个钱袋。。。

由于时间的关系,这个剧本没有写完,但是所有的同学对于剧本的写作都有了一些更加深入的了解,他们知道,好的故事,除了情节,还要有音效、灯光、布景、道具等等 。 以后他们写作文时,如果添加了上述这样的元素,应该会让老师印象深刻。

下午大家都喜欢骑单车,于是我们来到了石壁湖公园。思思老师是职业画家,她让同学们学习用另外一种艺术家的方式去表达,可以画画,也可以写诗,把眼前的山水、枯草、小镇表达出来。不要急着去画,或者写,先去感受。

同学们对这种艺术创作过程很陌生,于是有几个男孩子先围着湖骑行好几圈,去感受。有个男孩子文采比较好,写了两首现代诗,其中一首是批评讽刺画家老师的,得到了罗老师的表扬。两个男生从罗老师这里了解到了写诗歌如何押韵,为什么要押韵。

不是所有的现代诗都需要押韵,但是押韵的现代诗更有美感和韵味,我个人是这样认为的。

骑行回来的路上参观了杨立三故居,这位金井地区的农会领袖,当时家境并不差,但是却有着一颗关怀底层民众的心。

晚上组织了一次纯英语故事接龙,有三个英语最好的男生来讲,其他学生当听众,我当翻译。当学生的英语水平参差不齐的时候,这个办法看来还是有效果,讲故事的人有一种自豪感,听故事的学生没有压力,只有羡慕,他们在看到巨大的差距后,应该会努力。

英语水平排第一的是11岁的小魏,排第二的是十岁的小唐,排第三的是九岁的小李。

故事接龙过后,玩了差不多一个小时的狼人杀游戏,这个游戏同样能够从几个方面提升学生的能力,包括注意细节、逻辑推理、控制自己的言行等等。

半小时的辩论赛,辩题是八岁的小孙建议的: 如果以后完全禁酒,这是一件好事还是一件坏事?

每一年的冬令营夏令营,辩论赛上都可以看到一两个学生,进步神速,这个八岁的小孙就是其中一个,从完全不会说,到开始头头是道,文质彬彬,只需要观察三四场辩论赛。

正月初六开始的第二期冬令营还有空位,欢迎大家报名!八天七晚,只要1200元。报名微信是amasia。

2021山水之间冬令营第二天日记

昨天冬令营的活动是穿山越岭。我们从高高的黄英寨翻过去,从一个非常陡峭的南面滑下,在斗米冲这个被荒废的村庄走了一段距离,探访了两栋被废弃的大部分倒塌的旧房子,然后从南面上山,爬上另外一个非常陡峭的山头,下到一个无人涉足的、有野猪出没的山谷,从3m高的毛草丛中,从包粽子的粽叶从中,从垮塌的古墓旁,从两尺深的战壕旁穿出来,回到我们进山的道路。

整个过程花了七个多小时,没有人喊累,有一个中学生想半途而废,但主要还是开玩笑的成分居多,他是最胖的一个,平时运动很少。

在昨天这整一天中,我没有和平时一样,在半路上给他们上很多课,或者讲本地的历史文人文故事,因为我想尝试一下让他们深度地拥抱自然,他们看上去实在是太高兴,太兴奋了,我觉得没有必要用英语和人文故事去打破这种状态。

这一次的冬令营学生里,差不多一半都参加过覃山夏令营,家长们都是比较推崇这种自然教育、自由教育的。

和第一天一样,整个一天的活动主要都是营长在具体组织,老师主要是发号施令。同学们分工负责,包括洗碗、用洗衣机洗衣服、晾衣服、洗鞋子、拖地、给狗洗澡。

昨天的副营长是一个14岁的少年,今天他将担任营长,他是从永州来的,在婴儿时期就被弃养,由两个拾破烂的老人养大。我问他最远的地方去过哪里?他说他一岁的时候,爷爷奶奶带他去过北京。看来这两个是破烂的爷爷奶奶,不是一般人。爷爷早已经去世,现在他和奶奶相依为命,住在永州市区租来的房子里。他说他们已经搬过几次家了,买不起房子。

他还有个姑姑,是一个智障人士,也是奶奶在很多年前收养的。由于某种原因,奶奶把这个姑姑嫁给了另外一个脑筋有问题的残疾人,他们没有和姑姑住在一起。

我问他,下个学期就要读高中了,有没有把握读高中?他说还是有希望。学费的话他奶奶说交得起。

七十多岁的奶奶还是主要靠捡破烂为生,供他上学。

晚上我们花了差不多一个小时玩狼人杀的游戏。这个游戏对大家的观察能力、推理能力、控制嘴巴不说话不做小动作的能力,都是一个很好的培训。

晚上的辩论赛辩题是大家推荐,营长确定的: 如果在野外碰到一头熊,是应该和熊一起围着一棵树绕圈,还是应该躺在地上装死。

2021山水之间冬令营第一天记录

昨天是2021年2月1日,山水之间冬令营的第一天,一共有八个学生入营。

下午,我让同学们写了第一篇简单的双语日记。主要是写下午的活动中,让他们印象最深刻的是什么?基本上都是写的两个。第一是杨立三故居,一个小型的博物馆竟然关门了。第二个是他们在石壁湖公园打水漂。

这些十岁上下的孩子,大概在长大的过程中,很少碰到要去参观的公共场所关门,对这个问题表示吃惊的是两个老家在农村的孩子,博物馆这样的公共场所在周一定期关门,对他们来说是一个很城市化的陌生现象。

而且印象最深刻的是打水漂这件事的,都是生活在城里的孩子,男孩子。至少有半数以上的男孩子第一次打水漂都是反着手超水润甩,因为没有力度,而且方向也难把握,所以往往不成功。后来我叫他们用正手,加上食指的力量,就能够打出两三个水漂了。

和所有以往的冬令营,夏令营一样,这一期也是男生为主,九个学生里只有一个女生,不过幸好她不在乎,这个九岁的女孩最喜欢我家的白狐了,她说有白狐这个小姑娘和她玩就可以了。虽然她话不多,作为一个从小接受在家教育的姑娘,她的独立性还是让我印象挺深刻。

有三个男生的英语水平让我印象很深刻,其中小魏的英语故事尤其流利,而且基本没有语法和用词错误,同样,他也是接受在家教育,父亲的英语很好,教育理念也很好。第二个英语基础好的孩子小唐也是直接用英语写日记,用英语讲故事也是很流利,他也同样有一个不一样的家庭,母亲不仅仅是高级知识分子,同时还给孩子创造了一个非常宽松的教育环境。第三个孩子年龄稍微小一些,他的英文表述似乎比中文表述还要好,同样,他的母亲一直让他的学习和学校应试教育保持一定的距离。

因为还有一个很有天分的男生,他的英语比同龄人也要强不少,这个12岁的男生也是没有读过小学,一直是由画家母亲在家教的。

这四个英语水平最高的学生,有一个共同特点,就是父母中间至少有一个是不认可学校教育,让孩子与学校应试教育之间有一个距离,要么从小在家教育,要么就是走在离开学校的路上。

昨天的营长小王表现出了非常强的领导能力,不仅仅认真负责,而且公平,体谅低年级孩子,主动照顾想和他睡在一个房间的小朋友。昨天他的助手是副营长,今天自动升为营长,目前为止也是很负责,大家情绪都很好。

2021前沿科技预测报告 Emerging Technology Predictions 2021(3)

AR/VR

Speaking of augmented and virtual reality (AR/VR): If ever there was a time when people might yearn to retreat into a digital reality, 2020 was surely that time. But both the hardware and the software were still finding their footing, and like anything that wasn’t rock solid at the start of the year, COVID-19 presented a setback.

But the setback will be temporary. In July, IDC took stock of the developing technology and estimated that from 2019 to 2024, the compound annual growth rate in global AR/VR spending would be 76.9% worldwide, reaching $136.9 billion.2

AR and VR are naturally lumped together in many discussions, but they’re not the same thing. Augmented reality overlays data on live video, often through a phone or tablet camera. (Think Pokémon Go, or watch this Splunk video demonstrate an industrial repair scenario.) Virtual reality is what we’ve been expecting at least since Tron hit movie theaters in 1982: Interactive worlds created entirely from computer graphics. VR requires headsets, currently on the expensive and cumbersome side, to create true immersion.

Virtual and augmented reality improve collaboration and access to knowledge. As a greater percentage of our retail activity and business communication move online, there will be demand for more immersive experiences. Additionally, industries not nearly as well-established as ecommerce are making massive shifts to digital platforms: Remote learning and telemedicine are entering many school districts, universities and medical practices for the first time.

New medical applications are already appearing. Doctors at George Washington University Hospital have been using VR to uncover lung damage from COVID-19 since March.

“Telemedicine has certainly accelerated, with medical practices working in partnership with insurance providers,” says Simon Davies, vice president of Splunk in the Asia-Pacific region.

“One of the most interesting VR advancements I’m seeing is in data visualization and event management. The ability to effectively consume data is critical to timeliness. Organizations are using virtual reality to consume 20 to 30 dashboards, coupling human intelligence with machine intelligence to distill meaningful insights in real time.”

An AR/VR survey of venture capitalists, released in March by law firm Perkins Coie, predicted that AR will continue to outpace VR, in part because mobile devices are already everywhere, and they’re better suited to AR overlays than full-immersion VR.

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According to the World Economic Forum

According to the World Economic Forum, AR does three things very well: visualization, annotation and storytelling — each of which can be very useful to workplaces, schools and institutions during and after the pandemic. Further, AR/VR experiences could help mitigate the isolating nature of lockdowns and lingering effects on, for instance, business and leisure travel.The WEF links to news stories about the following examples:
? Virtual job training for young adults with autism
AR visualization of air pollution worldwide
? “ All 185 first-year medical students at Case Western Reserve University (CWRU) are using HoloLens and HoloAnatomy, an award-winning AR app by CWRU and Cleveland Clinic, to learn from their own homes.”
? “ London’s National Theatre is using AR to help make its performances more accessible for people who are deaf and hard of hearing.”
? Microsoft’s Project Tokyo helps visually impaired people to “see” using AR and AI and the HoloLens. The device can detect the location of people in the user’s environment, and recognize faces, relaying the information to the wearer via audio

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Prediction

AR/VR’s breakthrough application will be immersive collaborative communication.

“I think of it as Zoom on steroids,” Jesse Chor says. The toll remote work takes on collaborative communication means we’ll want more immersive solutions that make interaction easier and more effective. “Not like a Zoom call today, where everyone talks over each other: ‘Oh, sorry, you go ahead.’ ‘No, you go.’”

5G bandwidth and more powerful laptops will reduce latency problems and provide opportunity for new ways to collaborate, to share visual presentations, on-the-fly notes and more. Post-COVID, more workers are going to continue to work remotely, and tech companies have long believed that innovation arises from the live, daily mix of coworkers, and that the hallway and kitchen are as important, if not moreso, than designated conference rooms.“

So the question becomes, how do remote teams effectively replace actually being in front of each other? We’re going to want virtual collaboration to be as close to the real thing as possible,” Chor says. “I think the next iterations of video conferencing will incorporate AR and VR technology.”

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Prediction

We’ll see a breakout hit in consumer/entertainment VR by early 2022, or virtual reality will drop off the radar.

Any consumer entertainment model requires a combination of hardware and content. The hardware element, Jesse Chor says, is there. But that isn’t enough.

“Virtual reality is at a very, very interesting spot,” Chor says. “It’s not new — it has been around forever, and it’s at a very vulnerable time now.”

He notes that the success of entertainment technology is driven by content. A new device might be an obsession only for the hardcore hobbyist until a viral hit drives mainstream adoption. Chor says VR’s hardware is there. The Oculus Quest, released in 2019 and sold out everywhere in 2020, is the Nintendo Switch of VR: A cheap, attractive device to drive adoption. Now we need the critical-mass software, the breakthrough game.

“It’s do-or-die; either that breakthrough comes in 2021, early ’22, or it’ll be another 10 years before it gets visited again.” So VR needs its “Legend of Zelda: Breath of the Wild” or “Super Mario Odyssey.” Otherwise, Chor says, companies will lose patience and stop investing in the technology. He’s optimistic that a hit will emerge to capture interest. “Because with COVID, there’s an audience for anything that’s driving immersion at home.”

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Biometrics

Biometrics was already taking off before the pandemic. Apple devices had been asking for your thumbprint for years, and the newest iPhones really want to be unlocked by your face.

In addition to biological attributes such as thumbprint, voice and facial scans, biometrics includes behavioral measurements, and that goes back centuries: Verifying identity by comparing signatures is not exactly cutting edge. Similarly, what time you regularly log into a system, your typing style, how you walk — all are being used today to identify individuals.

UK schools have used fingerprinting or face scanning for access control, recording attendance, buying lunch, checking out library books. One school, University Technical College, Leeds, has had to abandon its fingerprint sensor access controls due to the coronavirus pandemic, replacing them with proximity card sensors, facial recognition and, for health purposes, a thermal camera. (On the other hand, a French court blocked high schools from using facial recognition.)

Japan’s Seven Bank was testing ATMs that use facial recognition in late 2019, and in 2020 trials were under way to use facial recognition for cashierless checkouts in Japanese 7-Eleven stores.

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Prediction

Biometrics will move up in the world. And into the cloud.

“I’m a big fan of biometrics,” says Splunk Head of Mobile Engineering Jesse Chor. He predicts that biometric adoption, like (and as an example of) two-factor identification, will increase sharply in the Data Age. And he predicts that a key evolution in biometric verification will be solutions that don’t store your data on your device. Because if the app that verifies your thumb print is stored on your phone, bad guys need only hack your phone (which may be preferable to hacking your thumb, actually).

“The data won’t be stored on your phone,” Chor says. “It’s going to live in the cloud. The phone just sends the thumbprint it receives to another entity, and it’s up to that entity to decide, is this the right one? And your device won’t send your actual biometric data, but a hash, just like we do with passwords now.”

While biometric identification is a great way to minimize security breaches that depend on account or identity theft, the field is highly controversial, particularly around facial recognition. In September, the city of Portland, Oregon, banned use of facial recognition by government or businesses, a more stringent ban than bans on government agency usage already enacted by San Francisco, Oakland and Boston. Controversies around the technology have led to calls for greater regulation. A 2019 profile of one facial recognition provider’s practices ran in The New York Times under the headline, “The Secretive Company That Might End Privacy as We Know It,” and use of facial recognition and other biometric data collection (including DNA samples) as part of China’s oppression of its Uighur minority generated international condemnation.

Chor notes that legal and ethical guidelines will have to be worked out on the national and international level, and permissible use of biometric data may vary. (A September article in the MIT Technology Review discusses such efforts.) But biometric technologies are too important and useful to kill. Whether we’re doing our jobs or managing our personal finances, the most important aspects of our lives are digital, and increasingly under threat of cyberattack.

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Blockchain

The enterprise blockchain ecosystem has rapidly matured, and Splunk’s head of blockchain, Nate McKervey, measures that in a very hands-on way.

“2020 has been the first year where I have not had to explain blockchain once to organizations,” he says. “They come in understanding it to a high-enough degree that we can show them what problems we’re solving, which is a wonderful thing. Looking back, 2018 was the year of ‘what is blockchain’ conversations. 2019 was full of ‘nobody needs blockchain’ discussion, and in 2020 we’ve reached, ‘Okay, I understand where it’s useful and valuable. Now, how can you help me be successful?’”

The 2021 conversation, he predicts, will be, “What is your blockchain strategy?”

“In two years,” he says, “some companies will realize that if they don’t have a blockchain strategy, they’ll be less competitive because they won’t be as efficient as their competitors.”

With that in mind, he provided a rapid-fire series of predictions around digital ledger technologies.

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Prediction

COVID will accelerate blockchain adoption.

McKervey says that when the pandemic lockdowns began, he assumed that organizations would conserve resources and focus on core technology investments.

“I even told our leadership that I expected emerging technologies to be the first ones to be cut,” he says. But by autumn, not one of the more than 100 organizations he was talking to had suspended their blockchain initiatives. “In fact, we’ve had more inbound interest.”

An August article at CIODive.com backs him up. The publication spoke to experts who also had expected 2020 to be a bad year for blockchain, but were seeing continued interest, particularly in supply chain and other use cases where value is obvious. As Congress continues to urge the utilization of blockchain technology, we expect no slow down in interest.

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0Prediction

Successful blockchain implementations will focus on efficiencies.

As blockchain emerges from that 2019 trough of disillusionment, McKervey expects adoption to accelerate in the pandemic/post-pandemic era. The degree to which the pandemic interrupted supply chains will particularly drive interest in blockchain technologies, which can improve visibility into the source of goods, and where they are at any time, and how overlapping supply chains interact.

“If my supply chain is 10 times more efficient than yours, your vendors aren’t going to want to work within your supply chain,” McKervey says. “We’re seeing organizations decrease paperwork and manual processes by 97%. If their competition doesn’t do the same, they won’t be able to compete.”

The financial services industry was our big pick last year for blockchain strides. That sector continues to be a strong area of blockchain interest, with particular interest in central bank digital currencies (CBDCs), but expect supply chain applications to see the greatest near-term improvements, largely driven by the pandemic.

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Prediction

In the short term, organizations will struggle to turn blockchain test projects into full-scale successes.

Blockchain initiatives still start with small proof-of-concept projects that prove value on a small scale, and success drives full implementation … which is where the trouble often starts.

“The move to production is where the real challenge comes,” McKervey says. “When you do a proof of concept, you just have to show that it functions. When you move to production, it needs to be secure, stable and to perform at scale.”

The trouble, he says, is often a lack of observability. Problems in production have to be diagnosed. You need visibility into data from the digital ledger itself, your infrastructure, your applications. Often organizations stitch together a mix of individual tools to analyze and visualize each type of data. And they may have to write proprietary code to analyze the ledger data. It reminds him of the days before Splunk, when sysadmins would write scripts to awk and grep through log files.

“The problem is, then they have this code that they have to support and scale and modify as the ledgers get upgraded and modified, and that’s a huge hurdle we’ve worked with customers on,” he says. As a result, he expects to see vendors respond with more interoperative monitoring solutions, or, as Splunk provides, cohesive observability solutions that combine logs, metrics, traces and ledger data

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Prediction

While blockchain consortiums are a leading model, they’ll be hampered by coordination and visibility challenges.

A lot of enterprise blockchain experience right now is through consortiums, in which companies in a certain industry or supply chain collaborate via a digital ledger. The consortium operator, which is not a stakeholder in the partnership itself, may be coordinating the solution, but lacks visibility, as do the members of the consortium. And visibility can be a challenge when some data may be proprietary to a specific participant, and when some of the participants may be rivals.

Among the biggest challenges, McKervey says, is getting to a decentralized state. Often the consortium starts with centralized control by the operator, with the goal of decentralizing the control. This can only be achieved when sufficient visibility across the consortium is obtained. Sufficient visibility is a difficult target, since the members use different infrastructure, cloud providers and monitoring solutions. This parallels the challenge individual organizations find as they power up from proof of concept to full production, and is another force that will drive a more cohesive approach to observability.

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Prediction

In about three years, blockchain gets really exciting.

The short term for blockchain is in security and efficiency, but looking a few years out, new business-transformative blockchain-based solutions will emerge and most won’t even know blockchain is part of the solution. Secure voting, tracking of political donations, tracking of disease outbreaks and securing medical supply chains are all happening now, but business-transformative use cases are hard to predict. (Did the taxi industry see the Uber model coming? Exactly.) Decentralized identity will be an enabler of these new business models. “That stuff is a ways out, though,” McKervey says. “Right now we’re still seeing blockchain develop as a strategic technology for businesses and the public sector. We’re at the stage where blockchain is beginning to increase efficiencies, but most CIOs aren’t yet seeing blockchain as a top initiative.”When will they get the message? “When leaders see their business model disrupted,” he says, “and by then it may be too late for their organization.”Decentralized identity is especially interesting, McKervey says. Individuals and organizations use many globally unique identifiers, such as: communications addresses (email address, user name, etc.), ID number (passport, driver license, tax ID), product identifiers (serial numbers, barcodes, RFIDs). The vast majority of these globally unique identifiers are not under our control, and may be open to fraudulent use: identity theft. The idea of a means of identification that is secure, global and not controlled by a central body has many appeals and applications.

“That stuff is a ways out, though,” McKervey says. “Right now we’re still seeing blockchain develop as a strategic technology for businesses and the public sector. We’re at the stage where blockchain is beginning to increase efficiencies, but most CIOs aren’t yet seeing blockchain as a top initiative.”When will they get the message? “When leaders see their business model disrupted,” he says, “and by then it may be too late for their organization.

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Edge Computing

Edge computing is an inevitable progression. We’re already managing a great deal of the data and interactions of our smartphones and laptops via the cloud, with software that’s delivered as a service rather than installed on the endpoint. And we’re constantly digitizing more stuff. We’re putting sensors into warehouses, onto trucks and freight trains, in industrial machinery.

The result is that we’re measuring things and making decisions about devices on the edges of our networks by shipping the data to a central, probably cloud-based datacenter, doing the analytics, and sending back automated instructions. All that back and forth takes time, and latency is a problem.

(That’s right, a quarter-century ago, we were all on dialup, and now we’re complaining about the speed of light. Sounds funny, but half-second latency won’t be a laugh when your car is driving itself through rush-hour traffic.)

Our main prediction about edge computing (in which analytics and automation do all the “thinking,” and take action, at the network periphery rather than reporting back to the mother ship) is that it’s here, it’s necessary, and it’s getting better. What’s interesting is the way in which the edge provides a perfect arena for every emerging technology we’ve been discussing.

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Prediction

Emerging technologies come together at the edge.

John Sabino says that the real power in emerging technologies is not any one of them, but the combinations. “I think the keys are AI/ML and automation, and when you add them to IoT, edge computing and 5G, you can transform entire industries — logistics, manufacturing, healthcare, energy.”

Tim Tully sees the same effect, and notes that smarter AI, and more powerful hardware and robust connectivity will be transformative for applications of edge computing. “More and more is happening at the edge, because we can do more and more computation as the hardware and software gets more sophisticated,” Tully says. “Local processing reduces the latency of moving the data to the cloud to process, and you get the same results.”

“When I was at GE, we had this concept of an industrial internet that is only gaining steam,” Sabino adds. “You can see it on brewery lines right now. You might have four master brewers that might operate a multimillion-gallon line.”Progress. We’ll drink to that.

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Future Steaks, Working Assumptions

We asked Jesse Chor for his most far-out, decade-plus prediction, and he gave us a pretty wild vision. Today’s 3D printers can handle machine parts and numerous consumer goods. Chor says that’s just the foot in the door for digital printing.

“I look at COVID-19 as an example,” he says. “Without a doubt, it’s going to accelerate vaccine production and testing, but I’m also looking ahead to a world where we digitally print vaccines, we digitally print medicine. It’s going to be world-changing, and even that’s just a start. Imagine digitally printing food.”

Sounds amazing, though if we’re predicting Star Trek futures, we’re more excited about visiting a VR holodeck than eating a filet mignon printed by a food replicator. To ground us back in the present, we asked Tim Tully for his most immediate, prosaic prediction.

“We’re all going to have to update our home networks,” he says. So many people are working from home, perhaps while a working spouse and distance-learning kids compete for bandwidth. And even if that’s not you, you’re probably consuming a lot more digital entertainment at home during the COVID era, in place of a more on-the-go social life.

“If you have three kids in the house on Zoom doing school plus two working parents, that’s probably 5x the amount of traffic you’ve ever had to have before,” he says. “I’ve helped a number of our execs upgrade to enterprise-level or prosumer tech.”So bring on the WiFi 6, and get on the Oculus Quest waiting list. The future is now.

2021前沿科技预测报告 Emerging Technology Predictions 2021(2)

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Prediction

Smarter AI will work wonders, and challenge human workers.

AI/ML, drawing insights from data and acting on it through automation, will transform just about every digital interaction in our lives. And at this point, nearly every interaction in our lives has a digital component. As the above trends come together — ethically sound algorithms that are robust against adversaries, and that can learn on their own — we’ll see them act more like humans, making more consequential decisions and actions.

Humans, however, will still have work to do in a world so transformed by AI. Ram Sriharsha says that the human disruption will be substantial. Many current jobs will be eliminated or fundamentally altered, and many new jobs will be created. In both cases, a new workforce will be needed, and organizations should begin retraining now.

Companies should be training their workforces, Sriharsha says, noting that such training used to be more common. “Companies are going to realize that it’s a value-add for them to train their employees now. In-house training on new methodologies, new techniques and so on, is going to be important.”

A McKinsey article in May says that the COVID-19 pandemic has illustrated the effects of sudden change on a workforce, and underscored the need for training as companies must match workers to rapidly evolving roles:

This dynamic is about more than remote working — or the role of automation and AI. It’s about how leaders can reskill and upskill the workforce to deliver new business models in the post-pandemic era.

To meet this challenge, companies should craft a talent strategy that develops employees’ critical digital and cognitive capabilities, their social and emotional skills, and their adaptability and resilience. Now is the time for companies to double down on their learning budgets and commit to reskilling. Developing this muscle will also strengthen companies for future disruptions.And every organization’s strategy coming out of 2020 is to build resilience to further disruptions.

And every organization’s strategy coming out of 2020 is to build resilience to further disruptions.

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5G/Mobile

Pretty much since the invention of the smartphone, the focus of our digital lives has been the screen in our hands. For software developers, mobile first was a mantra for years until now it’s so basic that it needn’t be said. Splunk’s chief technology officer, Tim Tully, notes that he can do 80% of his job on his smartphone (but adds that, since COVID-19 sequestered him at home, he’s reverted to a heavy, powerful desktop machine for the first time in a decade).

The rise of the mobile device was significantly driven by the arrival of 4G networks that allowed mobile data streaming, which in turn powered the success of Netflix and YouTube, Uber and Lyft, all the social media networks and more.

(Before 4G, we still mostly used phones for talking. Now, we use our phones for data and bark instructions at an AI-enabled hockey puck that lives on our coffee table.)

5G is next on the horizon, but there are significant roadblocks that will slow its rollout. Before we consider the longer term, there are immediate mobile trends that were greatly accelerated by the pandemic. To name two: two-factor authentication and digital payments.

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Prediction

Two-factor authentication will become the widespread norm, not an option.

The sudden wave of office workers logging in from home raises security concerns, because now there are more people logging in from outside your network who might not be who they said they are.

It’s a challenge that should be keeping security experts and mobile software engineers awake at night. “The surface area of security has expanded because of COVID and mobile,” says Splunk Head of Mobile Engineering Jesse Chor, “and I think it’s definitely a concern.”

Expect to see more adoption of two-factor authentication, whether by a phone app that asks, “Did you just try to log in?” or a biometric scan. Mick Baccio, a Splunk security advisor who has worked for the Dept. of Health and Human Services and the White House, and was CISO for the Pete Buttigieg presidential campaign, agrees that 2FA is growing, and he sees hardware tokens as the likeliest solution. Hardware tokens include little USB security keys, or can be incorporated into mobile phones.

“A hardware token pretty much shuts down the risk of account takeover,” Baccio notes. “Who doesn’t want to shut that down? It’s one of the biggest problems security teams face. Just shut it down and move more resources to your next biggest problem.”

“The scary part now is that there are only two incumbent mobile operating systems,” Chor says. “If Apple or Google screw up their operating system, think about how devastating a vulnerability could be. A simple bug around my PIN, say, could let you get into my work network, hack my email, use my ecommerce accounts, hit my bank. You can basically be me.”

And as for the form factor of the two-factor, Chor says he’s “a big fan of biometrics. I think COVID is going to really accelerate the adoption of biometric identification for security and payments.”

An important value of biometric logins, Chor says, is that it replaces the physical device. If the mobile phone is the interface for the biometric identification, but does not store biometric data, it’s useless to a thief. (See below for more on biometrics.)

“Just like we don’t send passwords over the air anymore, we send hashes, the devices will send a hash of your biometric data,” Chor says. The device becomes a conduit for information that is confirmed in the cloud. A lost or stolen phone is no security threat, as long as you still have your thumb on hand. “I think security is going to head that way, where the phone is just a conduit.”

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Prediction

Contactless payment will rise faster than expected. (Like, really fast.)

COVID has driven adoption of digital payments, in terms of contactless payment apps such as Apple Pay, Google Pay, Samsung Pay, Square Cash, Venmo and PayPal One Touch. And after the pandemic recedes and we achieve a “new normal,” expect the convenience and no-touch benefits to continue to gain traction.

“People still go out and buy things, and when they do, they’re more often using contactless payments, which generally involves a phone,” Jesse Chor says. “And ideas like the digital wallet — Apple Pay — will make a lot more sense to a lot more people.”

In an April report, Bain & Co. noted that disruptions to businesses from restaurants to retail to the entire travel industry meant that payment volumes were down, and payment services providers were suffering. But not so, the contactless payment industry. Bain observed signs of growth, including hiring at several of the payment providers, and predicted faster-than-anticipated adoption even after the pandemic ends and the economy recovers. Bain’s pre-COVID estimate was that 57% of transaction value would be done digitally by 2025. Since the pandemic, Bain has revised the prediction to 67%.

Simon Davies, vice president of Splunk in APAC, says COVID has pushed several emerging technologies to center stage in the Asia-Pacific region. “Before COVID, people were already doing things like blockchain, mobile technologies, etc. but weren’t seen as being mainstream,” he says. “Now contactless payments have become much more prevalent — essentially the norm. That wouldn’t have happened quite as quickly if it weren’t for the pandemic.”

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Prediction

Despite rising appetite, 5G won’t hit in 2021. Expect rollout to be held up by hardware challenges at least into 2022.

Pre-COVID, the telecom industry was eager to roll out 5G, the next-generation telecommunications standard that promises greater bandwidth and lower latency, and a cell tower every eight feet or so. The technology could make our mobile devices more powerful, and fuel other emerging technologies, including virtual and augmented reality. These days, robust deployment of 5G looks more like a three-to-five-year proposition.

Tech industry news site EPS News predicts slow and uneven 5G adoption: “Before the pandemic struck, the mobile industry was rushing to bring 5G networks and technologies to market. With declining revenue and a shrinking market, this shift is less likely to take place soon. Some carriers and manufacturers already delayed upcoming releases of 5G devices and services.”

Analysts at 451 Research also see the delays, but note that this is no time to sleep in, writing1 in July, “5G will not move the needle in the enterprise in 2020, but planning must start now. … A couple of years from now, 5G networks will support ultra-low latency and mission-critical communications that enable the applications and processes supporting the digital transformation of industries, some of which will see acceleration due to COVID-19.”

“5G’s problem is the chicken and the egg,” says Jesse Chor. “You need demand that’s realized in devices that can use 5G, and you need the carrier infrastructure. But who’s going to build one without the other?

“I think the biggest obstacle for 5G is the physical limitations of the technology,” he says. Not only does the new standard require new cell towers, but 5G has a much shorter range than 4G, and is not great at penetrating walls, meaning we’ll need a lot more towers than earlier standards required. That’s expensive, and also, there’s a global pandemic.

“Especially with COVID, manufacturing has been slowed, and it’s really hard now to get fleets of people to install things, to even get the proper permits,” Chor says. “But despite the real barriers to adoption right now, the demand for higher bandwidth is going up. Between work-from-home and the hunger for streaming entertainment, people are very bandwidth-hungry.”

Chor sees the tipping point coming from the device side: “I think phone manufacturers need to get on it. We’ve just seen it with Apple, which launched the 5G iPhone 12 in October. That could increase the total addressable market by 30% or so. Other carriers will follow, especially if they have assurances from carriers about when 5G coverage is coming.”

Another impediment to rollout is that the pandemic has shuttered key locations for initial rollout. Chor expects corporate and college campuses to work with carriers to roll out the infrastructure.

“Once offices broadly reopen, I think a lot of tech companies will start instituting 5G within their campuses or buildings and pump it up that way, because there’s a lot of productivity they can gain with connected devices with low latency,” Chor says. And if tech employees or college students and staff are enjoying high-speed bandwidth as they work, they’ll drive demand where they live.

Look for initial networks to roll out in Asia, he adds. “China is already rolling it out in a lot of places. I was there just prior to COVID, and I saw the towers popping up everywhere,” he says. “And developing economies, in Asia and elsewhere, have an advantage in terms of lacking legacy infrastructure. It’s just a different discussion when you’re starting from near-zero, versus upgrading from an extensive legacy investment.”

The World Economic Forum lists 5G as one of 10 emerging technologies to watch in the wake of COVID-19, from distance learning and telehealth to drone deliveries and contactless payments, and notes that nearly every other technology on the list depends upon stable, affordable, high-speed internet. But while acknowledging the power of the technology, it also notes that “the adoption of 5G will increase the cost of compatible devices and the cost of data plans. Addressing these issues to ensure inclusive access to the internet will continue to be a challenge as the 5G network expands globally.

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Never Mind the 5G, Here’s the WiFi 6

Jesse Chor says that a lot of the benefits we want from 5G will be delivered first by WiFi 6, an available but not-yet-widespread technology.

“WiFi 6 is at least 10 times faster than regular WiFi, so it will bring the bandwidth and low latency we talk about with 5G,” he says. “If you’re a business, you want to roll it out fast, and you can have it today — you just need connected devices that can use it.”

Many new devices, such as iPads and iPhones, are ready for WiFi 6. Schools and corporate campuses can benefit from the technology, and it will be a major part of the bandwidth equation that includes 5G.

“WiFi 6 is great for internal devices you control, manage and own. 5G would be for outside devices that you don’t necessarily control and own, but you want them to be connected,” he says. A shopping mall would want 5G available for shoppers, for instance, but might use WiFi 6 internally for retailers and management.“

Just like 5G, WiFi 6 will soon be ubiquitous,” he says.

In a few years, pretty much any WiFi enabled device you buy will be WiFi 6.

Chor notes that 5G promises much more than just higher bandwidth. Both 3G and 4G networks ushered in new services, and whole new industries, from Lyft to Door Dash to the kaleidoscope of digital streaming channels. Telecommunications bandwidth unlocks tremendous economic power.

“And I’m sure that 5G will do the same, with greater bandwidth and lower latency unlocking new things we didn’t think of,” he says. “If you look at the market caps of internet companies, they exploded every time another telecom standard was unlocked.”

Among the new possibilities to be unlocked: new mobile form factors. (Prediction: In the future, we’re all Tony Stark.) “The future of mobile is hands-free, wearable devices,” Chor says. “Connected glasses, like a phone on your face, totally makes sense, especially given the rise of AR/VR.”

It will take a few years, say five to 10, and it’s not just about use cases.“

You need advancement in material sciences, battery technology, a lot of stuff that needs to catch up,” Chor says. “But once we have them, who would not want glasses that do everything? Then you’re like Iron Man. It will be a while before we get there, but it’s definitely coming.

2021前沿科技预测报告 Emerging Technology Predictions 2021(1)

Emerging Into the Data Age 走入数据时代

What we really want to see emerging in 2021 is all of us, from our homes. 其实,2021年我们最希望看到的是,我们自己站起来,走出来 – 从我们各自蜗居了差不多一年的家里。By summer, a semblance of normalcy and stability should begin asserting itself globally. 到今年夏天,全球范围内应该开始出现至少在表面上回归正常和稳定。Old patterns will return, but with changes. 旧模式会回归,但是带来一些变化。Other regions may maintain the habit of wearing face masks in public even after the pandemic 其他地方可能会在疫情过后仍然坚持公共场合带口罩的习惯。. Temperature checks as you board a plane may be a thing, 以后坐飞机时,检查体温可能会成为正式登机流程之一,and restaurants might never feel crowded again 另外,餐馆可能再也不会出现拥挤的场景了。.

A pattern that wasn’t interrupted by the pandemic 有一种模型并没有被疫情打断, but instead shifted into overdrive 相反还进入了高速通道, is digital transformation 这就是数据转型. The Data Age 数据时代— defined by greater interconnectedness through ubiquitous digital technologies 具体特征就是无处不在的数字科技,还有大范围的互联互通 — was already here 对此我们都不陌生. Now it’s really here 现在,它已经来到了我们所有人的身边.

“COVID-19 has been a catalyst 新冠病毒是一个催化剂, greatly accelerating digital transformation 极大地加速了电子转型的进程,” says Ammar Maraqa 说, Splunk’s senior vice president 他是SPLUNK的副总裁and chief strategy officer 和首席战略官. “For business and IT leaders对商业和IT领袖们而言, the strategic long view has been dramatically compressed 他们的长期战略计划被大大地压缩了. Disruptions anticipated in five or 10 years 5到10年一遇的意外情况 have been compressed to a horizon of months or weeks. 被压缩到了几个月甚至几个星期之内”

For a lot of organizations 对很多组织来说, high-speed transformation is going to look like a lot more cloud 高速转型很可能就是向云端进发. Organizations that were already fairly mature in their cloud adoption 那些已经在云端发展得很成熟的组织 are pushing into automation 如今在朝自动化前进 and machine learning 还有机器学习. Orgs that can really push the envelope 还有一些走在队伍最前列的组织机构 are planning for 5G 则瞄准了5G在做规划, investigating augmented reality or blockchain 或者在研究应用增强虚拟现实和区块链的可能性, or deploying edge computing solutions 又或者,在部署边缘计算技术解决方案.

A lot of powerful software 很多强大的软件 is in our near future 离我们已经很近了 — in large part 很大程度上, says Splunk’s head of mobile engineering SPLUNK的移动技术部门负责人, Jesse Chor 说, because of a key hardware development 是因为一种关键硬件设备的发展: the rise of the graphics processing unit (GPU) 也就是显卡的崛起. The central processing unit 中央处理器, the computer’s brain 是电脑的大脑 and a fundamental determiner of how fast a program can run 也是决定一个程序可以运转多快的最核心部件, continues to steadily improve 仍然在稳定发展. But in recent years 但是近几年, the GPU 显卡— originally designed for 3D graphics 本来是为3D绘图设计,and therefore central to gaming 因此对游戏竞技举足轻重 — is increasingly important 正在变得越来越重要 to use cases beyond “first-person shooter.”应用范围不仅限于第一人称视角设计游戏 Playing the GameSure 在玩 GAMESURE这个游戏时, gaming isn’t the only use of advancing GPUs 游戏不是显卡的唯一用途, but it’s still a big one 但仍然是非常重要的应用领域.


Splunk’s chief technology officer SPLUNK 公司的首席技术官, Tim Tully, says the improvement in GPUs 说显卡的发展 makes gaming a more interesting tech space than ever 使得游戏成了一个前所未有的有趣科技领域. He also admits 他也承认,that since the pandemic 自从疫情爆发以来, he has become a more regular gamer 他自己也成了一个花不少时间玩游戏的玩家. “GPU advancements are allowing developers to make these super-immersive games 显卡的发展允许游戏开发者制作出一些非常逼真的游戏, and VR will be an interesting element there 虚拟现实技术将会是这个领域一个中很有趣的元素,” he says 他说道. “And since the pandemic 自从疫情爆发以来, gaming has become an even bigger activity 游戏已经成了一个影响很大的活动, a more important escape mechanism 一个更重要的逃离现实的途径, than ever 从未有过的重要途径. I think it will consume more of the budget we used to spend in restaurants or movie theaters 我想,它会让我们以后在餐馆和电影院少花钱,在游戏中多花钱.”

“The evolution of GPU 显卡的进化 is going to be a big one 将是一个大事件,” Chor says 说道, “because that’s what unlocks machine learning on edge 因为那将是解开机器学习枷锁的钥匙, that’s what unlocks AR 还可以解开增强现实技术的应用, that’s what unlocks all these great future experiences 它可以解开所有这些未来的美妙体验. And then if you combine that with the low latency and high bandwidth of 5G and WiFi 6 如果你在把它和5G以及WIFI 6的低延迟和高带宽结合在一起, you’ve got everything you need 那就万事俱备了.”This year’s predictions for emerging technologies include a number of ways to keep the most powerful GPUs busy 今年的前沿科技预测报告包括一系列可以让最强大的显卡忙碌起来的方法.

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Predictions and Survival Strategies for 2021

2021 大预测和生存策略

Artificial Intelligence/Machine Learning (AI/ML) 人工智能/机器学习 Self-learning ML 自我学习 will help us see beyond buzzwords to value Challenges 将会帮助的视线穿越迷雾,看清前面的挑战: Adversarial attacks 来自对手的攻击, AI ethics 人工智能的道德, human training 人类的培训

5G/Mobile

5G will be delayed 5G在今年的发展会被延迟, then big 然后是高速发展. Meanwhile 与此同时, look at WiFi 6 先来看看WIFI 6这种技术. Also 另外还值得关注的有: Contactless payments 无接触付款, two-factor authentication 双因素认证and biometrics 还有生物测定技术.

AR/VR

AR 增强现实: Pandemic setbacks 疫情的牵扯 may lead to immersive collaborative tools 可能会使得一些逼真的合作工具的出现,and healthcare 还有这种技术在医疗领域的应用发展.

VR 虚拟现实: The hardware’s there 硬件已经有了. It’s do-or-die on the software front 在软件这一块,则是一个要么做,要么死的选择 .

Biometrics 生物测定

Biometrics was already taking off before the pandemic 生物测定技术在疫情之前已经起步了.

Blockchain 区块链

The marketplace finally gets blockchain 市场上终于出现了区块链的身影; it’s focused on efficiencies today 目前来说,它的应用集中在提高效率方面, and will see wilder possibilities in the years ahead 未来的几年里,我们会看到更多的应用可能性.

Edge Computing 边缘技术技术

Where it all comes together 这是一个所有前沿技术综合应用的场景.

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Artificial Intelligence 人工智能/Machine Learning 机器学习 (AI/ML)

The adoption of AI/ML technologies AI和ML 技术的应用 was already under way when the pandemic hit 在疫情爆发时已经开始上路, but since COVID-19 disrupted public health 但是既然新冠病情打扰了公共卫生, the economy 经济 and pretty much every other aspect of how we live and work 还有我们工作生活中的几乎所有方面, organizations have significantly sped up their incorporation of machine learning algorithms 组织机构纷纷加快了他们将机器计算算法融入工作中的进程.

“We’re seeing 我们看到的情况是, that particularly, but not exclusively, with security use cases 这种技术主要应用在安全领域,但不是只在安全领域,” says Ram Sriharsha 说, Splunk’s head of machine learning 他是SPLUNK的机器学习部门负责人. For algorithms already in use 对那些已经进入应用领域的算法, the pandemic has created challenges 疫情让它们面临着挑战. Predictive retail algorithms falter when our behaviors change suddenly and significantly 当我们的行为突然发生突然的变化时,那些预测性的零售领域算法就变得不适应了. As the MIT Technology Review noted in May 麻省理工学院的科技评论杂志在五月份一篇文章中指出, “Machine-learning models trained on normal human behavior 基于正常的人类行为训练出来的机器学习模型 are now finding that normal has changed 现在发现所谓的正常已经改变了, and some are no longer working as they should 有些算法根本就不再有作用.”

In other words 换句话说, online retailers’ recommendation engines weren’t quite ready back in March 三月份的时候,那些在线零售网点的货品推荐就没发挥什么作用 for everyone to suddenly care about nothing but toilet paper and hand sanitizer 因为在那个时候,人们唯一想购买的就是卷筒纸和洗手液.

At this point 当下, machine learning has mostly caught up with the changes caused by the pandemic and recession 机器学习基本上已经跟上了疫情和经济萧条所带来的改变. And across industries 各行各业, algorithms have been, if not commoditized 如果不是已经被商业化了, then democratized就是被民主化了. The major cloud providers 那些主要的云服务提供商 are offering the hardware and software 开始将硬件和软件 to bring the power of machine learning 携带者机器学习的力量 to their customers 带给顾客. Those providers and other third-party vendors 那些主要提供商和第三方分销商 are delivering “AI as a service.” 开始将人工智能当成一项服务出售 And, more importantly 更重要的是, the idea of artificial intelligence 人工智能的主张 has taken hold in the corporate imagination 已经在一些大公司的发展计划当中了.

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Prediction

AI/ML will be held back by its own limitations AI/ML 将被其自身的限制所牵扯— until it can learn on its own 直到它可以靠自己学习.

One thing holding back AI/ML adoption is the resource overhead 限制AI/ML 应用的情况之一是资源消耗, says Ram Sriharsha 说, Splunk’s head of machine learning 他是SPLUNK 的机器学习部门的负责人.

“The problem with the traditional ML pattern 传统的机器学习模型的问题, in which people spend a lot of time building and deploying models 人们花费很多时间建造和安置的那些模型, is that it just doesn’t scale 是他们跟不上节奏,” he says 他说. “Organizations are evolving at a much faster rate 组织机构的发展速度要快得多, and the questions you’re asking your data are evolving 他们希望这些数据也快速进化. You can’t hire data science teams fast enough to keep up 但他们找不到速度足够快的数据工程师团队.”

The answer 解决这个问题的钥匙, he says 他说, is to automate the learning in machine learning 就是让机器学习自动化. “You not only have to automate the process of creating models and deploying them 你不仅需要让创建模型和配置模型的过程自动化, you have to automate the process of learning and relearning 还需要让学习和再学习的过程自动化.”

A challenge closely connected to the human-intensive process 对那些需要大量人力的程序来说,一个挑战, he notes 他说道, is the fact that most machine learning models 就是大多数机器学习模型rely on well-structured, clearly labeled data to learn都需要结构良好,清晰标注的数据作为基础.

“You’re going to see increasing amounts of R&D energy 你会看到,越来越多的科研资源 trying to solve these two problems 在尝试解决这两个问题, which is how to make the algorithms learn with as few labels and as little human input as possible 就是研究如何让算法尽可能使用少一些标签,少一些人工投入,来学习,” Sriharsha says 说道. “The more I can throw ML at unstructured data 如果我能丢给机器学习算法很多没有结构的数据,and have the algorithm figure out how to extract what it needs from the data 让算法自己从数据中整理出所需要的信息, the more powerful its contribution to the organization will be 那么它给组织带来的贡献就会大很多.”

It’s a lot harder to get an algorithmic model to work with the shifting, unstructured sources of data 要让算法模型去对付那些变化的、没有结构的数据资源,很难 that would drive better retail recommendations or supply chain refinements 这些模型需要提供更聪明的零售建议,或者提供连锁调整 than it is 下面这种情况就要容易得多,to get a model to master structured board games 让模型去掌握那些有结构的棋类 like chess and go 比如说国际象棋和围棋, but that’s what CIOs want 但这就是那些CIO们想要的. It’s definitely what our CIO wants 他们一心一意就想要这个.

“I’m keeping my eyes on self-learning systems 我一直在关注自我学习系统,” says Splunk 的 CIO Steve McMahon 说. “I want my process automation largely to be self-aware 我希望我的程序自动化能够尽可能地具有自我意识, so to speak 可以这么说, and learning 还有自我学习 so that it can identify the greatest opportunities 所以它能够识别最大的机会.”

=====
Prediction

Defense against adversarial learning will improve in the next few years. Because it has to.

Last year, our predictions report warned of the potential threat of AI sabotage: You can poison the outcomes of AI-driven automation by poisoning the data it learns from. We gave the example of tricking an autonomous vehicle into misunderstanding a stop sign. In September, researchers found that a tiny sticker on an object the size of a fighter jet could hide it from an AI processing drone footage. The threat of data deception remains on the horizon, and a new area of research will have to rise to the challenge, because today’s AI is as naive as a week-old puppy.

“Machine learning algorithms trust the data they learn from,” Ram Sriharsha says. “But what happens if people are trying to hack you? As an industry, we haven’t thought carefully about how to learn in the presence of adversaries.”

He says that researchers will need to explore how to make their models robust against adversaries. And he says that now is the time to develop those techniques, because the potential power of such attacks will grow thanks to standard market forces.

“In time, there will not be hundreds of machine-learning startups selling hundreds of machine-learning platforms,” Sriharsha says. “There will be a few, or one.”

And just like the dominance of Microsoft’s operating system gave hackers one big target, a small number of dominant AI platforms would draw all the attacks.

“Once that market consolidates around one platform that almost everybody is using, hackers are really incentivized to figure out how to break it,” he says. “With that kind of adversarial attention, we have to spend a lot of energy right now to build robust algorithms that can withstand attack.”

=====
Strategy

Look beyond AI’s buzzword heat to get real, meaningful value from AI/ML.

AI is often a black box, a vague promise, a hope for a Star Trek future. Certainly vendors are slapping “Now with AI!” on products like it’s extra raisins in your Raisin Bran. And corporate customers are getting caught up in the ill-defined excitement.

“A lot of customers won’t even think about using your product if it doesn’t have AI built into it, or the potential for it to be integrated as soon as the initial use cases or outcomes are derived,” says John Sabino, Splunk’s chief customer officer. “But a lot of the time when people ask for AI, they’re just checking a box. They’re not sure what it is, but they’re afraid of being left behind.”

Simon Davies, vice president of Splunk in APAC, says that organizations in the Asia-Pacific region are already outgrowing the buzzword phase. “They’ve moved on from AI being something that you specifically think about to being a core part of any type of decision or technology,” he says. “Instead, the conversation is about ‘How can your platform assist us?’”

Delivering an AI-based product, that’s a vendor’s job. But how an organization uses AI to be more competitive or deliver better outcomes, that’s a strategic consideration. Which is important for an organization to consider, Sabino adds. “You’re looking to build relationships with providers who really understand how to leverage AI, and who really understand your business and use cases, because this is a strategic relationship. It’s how a company in a competitive industry can leapfrog the competition.”

=====

Prediction:Increased attention to the challenges of ML bias will build ethical responsibilities into engineers’ job descriptions.

As we leave more decisions to algorithms, there will be increased attention to how they’re making those decisions. The utopian vision of fair outcomes derived from dispassionate examination of objective data overlooks the matter of who selects the data sets and designs the algorithms themselves: flawed and inevitably biased human beings.

We’ve seen examples of bias already. Our predictions last year noted the adversarial learning example of jerks (technical term) teaching a crowdsourced chatbot to be racist. Algorithmic bias in the mortgage industry is a well-known failing, and facial recognition hit a wall amid multiple controversies in 2020.

A July paper in Royal Society Open Science discussed the problem of “unethical optimization” and mathematical methods for detecting and eliminating such biases. Ram Sriharsha expects that pursuit to take on added importance in the next few years. But he says that the goal of completely eliminating bias is doomed to failure, so it has to be coupled with a goal to at least understand bias when it (inevitably) occurs.

“Take the classic example of loan applications being racially biased, even when it’s not an intention but an inadvertent result of the data you fed it,” Sriharsha says. “You can’t teach an algorithm, ‘Recognize race and don’t be a jerk about it.’ So explainability is going to be crucial.”

If we can understand how an algorithmic model produced an objectionable outcome, we can more quickly adjust it to produce better, fairer conclusions. Was the training data biased because it didn’t accurately reflect the full ethnic and gender makeup of society? Does a particular data set reflect societal biases that the model is then reinforcing? Are there other data sets that would contribute to a clearer picture of our society, and produce outcomes that better align with an organization’s or community’s values?

Explainability can help us fix errant models as they err, but the bigger question, Sriharsha says, is how we handle ethical issues up front, before the models are turned loose.

“It starts with education, evolving the course work we use to train future computer science engineers,” he says. “But more than that, we’re already seeing partnerships designed to prevent these unintended biases. If computer scientists in the past have worked in isolation, now they’re working with ethicists, economists and sociologists to understand the societal implications of certain models.”

If we can’t teach every software engineer to be a sociologist, urban planner, community activist and moral philosopher, we can at least make sure the engineer has them all on speed dial.

These consultations, and the very act of considering wider ranges of consequence, mean that better, fairer models will take more time and consideration to build. Problem: “Let’s slow down and think this through” is not typical Silicon Valley cocktail conversation.“

‘Move fast and break things’ has been the mantra of Silicon Valley,” Sriharsha notes. “And I think that for Silicon Valley entrepreneurship to remain at the top, you have to move fast. Especially in a rapidly evolving field like AI. But we’ll probably have to learn to move fast and not break things.”

=====
Prediction

Machine learning will help speed the discovery of new medicines — in part by looking at previous “failures.”

This prediction looks at one of the fields where data obsessed us all in 2020: healthcare. The current crisis is finding new applications of artificial intelligence, with the healthcare sector seen as a major growth area. For instance, the U.S. Centers for Disease Control developed a coronavirus chatbot that uses AI to tell you whether you need to go to the hospital.

But a challenge in applying machine learning to healthcare is that it’s a human-intensive field, in which a lot of what happens in terms of treatment and research moves, by necessity, at a human pace. And the smallish numbers involved in clinical trials or individual treatments don’t really cry out for advanced algorithmic support, Sriharsha notes.

“Where I feel AI/ML make the most sense in medicine today is not in current trials, but in the thousands that have already occurred,” he says. “Clinical trials are extremely expensive. Companies spend billions of dollars on them, and many fail. There are vast troves of data on the structure of drugs t that didn’t move forward, but might have undiscovered promise.

Some clinical trials are stopped not because a drug fails, he says, but because it wasn’t effective enough in an envisioned scenario. But it’s possible that those drugs, or new structural variations of them, could be more effective in other important scenarios. This existing, unused data could help researchers more quickly zero in on new, effective medicines.

“If you want to see the biggest impact of AI in healthcare and life sciences in the next 10 years,” Sriharsha says, “probably that is where it’s going to happen.”

美国哀悼40万被新冠病毒多去的生命 [中英对照双语阅读资料] 当选总统拜登领衔

‘To heal, we must remember’: 要治愈,先要记住

Biden leads national mourning 拜登领衔一场全国哀悼活动 of 400,000 Americans killed by COVID-19 纪念被新冠病毒杀死的40万美国人
Joey Garrison 作者
USA TODAY 新闻来源《美国今日》

WASHINGTON 华盛顿 — On the night before his inauguration 就在自己的就职典礼前夜, Joe Biden led a national tribute Tuesday 乔 拜登在星期二这天领衔了一场全国性悼念活动 for the 400,000 Americans killed by the coronavirus 为那40万被新冠病毒杀害的美国人, saying “To heal, we must remember. 他说,要治愈,先要记住”

“It’s hard sometimes to remember 有时候记住很难,” the president-elect said at a COVID-19 memorial 这位当选总统在这个 COVID-19 纪念集会上说,held at the Lincoln Memorial Reflecting Pool 这场集会在林肯纪念堂前面的倒影水池旁举行. “But that’s how we heal 但这就是我们治愈的方式. It’s important to do that as a nation作为一个国家,我们需要这样做. That’s why we’re here 所以我们现在都到了这里.”

In a visual memorial for the victims 作为纪念逝者的一部分,人们设计了一个视觉环节, the reflecting pool featured 400 lights illuminating on its north and south sides 在倒影池的南北两侧同时亮起400盏灯, creating a striking image with the rest of the National Mall dark 在整个国家大草坪的暗影背景下,这些灯光射人心魄. It was the first-ever lighting around the pool 这是这个水池旁第一次安装灯.

“Between sundown and dusk 在夕阳与暗夜之间, let us shine the lights in the darkness 让我们在黑暗中点亮灯光,along this sacred pool of reflection 围着这个神圣的倒影池,and remember all who we lost 记住所有我们失去了的生命,” Biden said 拜登说.

Hundreds of other cities and town 全国各地,几百个城镇 took part in the tribute from their locations 都从不同的地点参与了这个纪念活动, according to Biden’s transition team 根据拜登过度团队的说法. Iconic buildings like New York’s’ Empire State Building 一些标志性建筑比如纽约的帝国大厦 and the Space Needle in Seattle 还有西雅图的太空针尖大厦 were also illuminated 也点亮了灯光.

The brief service was kicked off by an invocation from Cardinal Wilton Gregory 这个持续时间不长的活动开场是红衣主教 WILTON GREGORY 的祈祷 , archbishop of Washington 他是华盛顿特区的主教 and capped by music 音乐伴奏是 from gospel singer 福音歌手 Yolanda Adams, who sang “Hallelujah.” 她唱了哈里路亚 Biden, his wife Jill Biden 拜登,他的妻子吉尔 拜登, Vice-President-elect 当选副总统 Kamala Harris 卡玛拉 哈里斯 and her husband Doug Emhoff 和她的丈夫 stood in silent during a moment of silence 在默哀时安静地站立在水池旁.

Biden was preceded 拜登演讲过后 by Lori Marie Key 是萝莉 玛丽 凯, a nurse at the Saint Joseph Mercy Health System in Michigan 她是一名来自密歇根州圣约瑟夫仁慈健康中心的护士, who sang “Amazing Grace.” 她演唱了《奇异恩典》这首圣歌。

“If there are any angels in heaven 如果天堂里有天使, they’re all nurses 他们肯定都是护士,” Biden said to Key 拜登对凯说, recounting what he told the archbishop before the service began 他在仪式开始之前对主教也是这样说的. “We know from our family experience what you do 我们都亲眼见到了你的贡献, the courage 你的勇气 and the pain you absorb for others 还有你从其他人那里带走放到自己肩上的痛苦. So, thank you. Thank you. 所以,谢谢你,谢谢。”

Harris spoke as well 哈里斯也致了辞. “For many months 在过去这些月份里, we have grieved by ourselves 我们都是独自悲伤,” she said 她说. “Tonight 今晚, we grieve and begin healing together 我们一起悲伤,然后一起开始疗愈. Though we may be physically separated 虽然在物理上是分开的, we the American people are united in spirit 但所有美国人在精神上是统一的.”

Biden campaigned on listening to scientists to combat the virus 在竞选期间,拜登号召民众要听科学家的,来对抗病毒 in a departure from President Donald Trump 这点与总统唐纳德 川普不一样. Last week 上周 Biden introduced a $1.9 trillion COVID-19 relief bill 拜登向公众介绍了一个1万9千亿美金的新冠病毒救援方案, dubbed the American Rescue Plan 叫做美国救援计划, that he’s asked Congress plan 他已经提交国会批准. He also released a plan that seeks to get 100 million Americans vaccinated with the COVID-19 vaccine within the first 100 days of his term 他还发布了另外一个计划,要让1亿美国人在他的任期前100天之内,注射新冠病毒疫苗.

Ahead of the memorial service 在悼念活动之前, several families came out to wave to Biden’s motorcade 有几个家庭从家里出来,朝着拜登的摩托车队挥手 as it drove through Washington’s Anacostia neighborhood 当时车队正在经过华盛顿的 ANACOSTIA 小区, before crossing the Anacostia River on the way to the National Mall 在那之后,车队会经过 ANACOSTIA 河,来到国家大草坪.

Biden is set to stay the night at the Blair House 拜登晚上被安排住在 布莱尔宾馆, the official guesthouse of the White House 这是白宫的国宾馆. He will begin his day Wednesday at a Mass service at St. Matthew’s Cathedral 星期三这天,他先要去圣马修大教堂参加一场弥撒,before traveling to the U.S. Capitol 然后前往国会山 for the inauguration ceremony 参加就职典礼.

Biden arrived in Washington by plane with his family Tuesday 拜登是周二与家人一起,乘坐飞机到达的,after previous plans to travel from his hometown of Wilmington, Del. to Washington were scratched 之前的计划是从位于 DEL 州的 WILMINGTON 市家乡前往华盛顿,但这个计划被取消了 because of security concerns 因为出现了安全方面的担忧, the Associated Press reported 据美联社报道.

“This is kind of emotional for me 我现在百感交集,” said Biden 拜登说, choking up at a send-off event before taking the short flight 在登上这个短距离航班之前,他在送行集会上哽咽了. “You’ve been with me my whole career 我的整个职业生涯中,你们一直在我身边, through the good times and the bad 荣辱与共. I want to thank you for everything 我感谢你们,感谢所有.”

地球:如果水全部干涸,会是什么样子

地球上的水干涸以后

清朝末叶,有湖南刘某者,天资聪颖,博学强记,曾应乡试,得中秀才,唯个性倔强,深耻逢迎权贵,以致功名失望,事业无成,后乃穷途落魄,贫病交加,结果病故于长沙开福寺。身后事宜,均为好友集资料理,有杨君少樵者,怜其才华,伤其身世,曾作联以哭之。

联日:   

卅年流落遍湘城,露宿风餐,蓬头垢面,犹每日拈毫作赋,扪虱谈经。天道果无凭,许多志士文人,别有一番磨折;

数月弥留眠佛地,沉冤莫诉,浩劫难逃, 最可怜尸暴沙门,殡依故友。他生须记取, 不入王侯宅第,毋庸再读诗书。

    作者除对秀才怀才不遇,结局悲凉的冤屈,寄以深切的同情外,同时还有力的揭露了封建制度扼杀人才,践踏文化的罪恶行为,笔锋犀利,结构严紧。

    (郑家宏供稿)

海口李凤鸣老师的【少年郎中培养计划】介绍

说明:李凤鸣老师是一位来自成都的老太太,罗老师的朋友,在自然疗愈和中医以及传统文化方面都很有建树,如今她与几个学生一起在海口开了一个中医学堂,教少年学中医和传统文化。

到时候的英语会由我们山水英语学堂来教。罗老师对中医、传统文化、自然疗愈这些领域不内行,所以转发给各位家长朋友,并把我知道的情况写下来告诉你,请您自己定夺。

我知道的是,李老师是一个性格和本领都远离大众的极少数世外奇人,我亲眼见识过她的诊断真功夫,还有点穴消瘤这样不可思议的本事。如果您对中医有信心,让孩子吃这碗饭比花很多年时间去考大学性价比真的高多了,毕竟只要两年时间,即使两年之后发现不是做郎中的料,起码学会了如何用中医养生保护好自己,照顾好自己和家人的健康,还可以学习传统文化和英语。再回到体制内学校去读书的话,也可以很轻易地跟上。

不管如何,中医治好过很多人的病,虽然不是万能的,也无法完全替代西医,但他肯定会一直存在下去,一直会有很多病人在中医手下痊愈出院。我自己一生中就有过多次西医没治好,被中医治好的情况,所以我对中医要亲近很多。

除了上面的本事,李老师和我罗老师一样,与成人社会打交道有障碍(都是阿斯伯格综合征患者,她更严重一些),但是在开发儿童的潜力方面,是很有天赋的,尤其是那些不被主流社会认可的少年儿童偏才(这是我们这个群体的一个共同特征 – 善于和偏才儿童打交道)。

她在九十年代曾经是这个领域一支国家科研队的专家成员。在退休之前,她在四川培训过一批顶尖国家田径运动队员。

不过李老师没有在任何医院工作过,她一生不受约束,中医是自学的,治好过不少人,全国各地讲过很多课,但没有开过诊所(懒得去考文凭和申请这个行医执照)。

如果您想进一步了解这个计划,先加我的微信 amasia,我把李老师的微信推给你。

下面是李老师团队的招生公告内容。

序言:

传统文化教育在中国已成星火燎原之势,然而社会对其认同的力度却极其微弱,原因是众所周知的下面几点:

一、高科技发展时代不需要”循序渐进”、”十年树木百年树人”的教育方式!”快餐教育”汹涌澎湃几乎将全人类吞没……;

二、经济社会不需要”谦谦君子”!”孙子兵法”亦沦落成社会潜规则……。”自古圣贤皆贫贱“!金钱已经成功地占领了人伦高地……,争名于朝,争利于市已”蔚然成风“!拜金主义风糜泛滥……,人,沦落成了金钱的奴隶甚至走狗!

三、金钱已经将社会”改造”、”回归”为丛林……,
华夏礼仪已经让位于它……!”仁、智、礼、义、信”被践踏被鞭挞……,几乎无存身之地了……!
在如此严峻的现实中,”文化复兴”的概念震动了朝野,无数有识之士奋力行走在”文化复兴、文化自省、文化自信”的路上……!但是这种力量极其微弱……!

在”西学东渐(不是东渐而是占据)”的形式下,传统文化的生存空间变得很窄很小了……!
就在很多人不自信,看不起自己民族的文化的同时,国际上对华夏文化的认同和尊重却与日俱增!其中最为令人瞩目的,就是中华医学文化也就是中医文化!

几千年来,在华夏民族的繁衍生存的历史过程中,中华医学起着举足重轻的作用!上至帝王将相,下至贩夫走卒,莫不赖以维持其健康,方能生存。
比起任何其他的道理,生命生存是至高无上的原则和道理。而健康则成为了全人类生存发展的重要课题。
华夏医学就肩负着中华民族繁衍生存的重大使命,辉煌而沧桑地走过了几千年……!
但现在有人却对如此优秀的文化不热爱不尊重甚至欲置之死地而后快……。
作为传统文化的热爱者和推广弘扬的践行者,我们该怎么办?

《少年郎中计划》就是我们的回答!

为中华民族的尊严,为人类社会的发展和健康,我们呼吁天下善士,同心同德,运用科学的洞见,传承弘扬先贤圣哲的智慧,”为天地立心,为生命立命,为往圣继绝学,
为万世开太平”。
这,就是《少年郎中计划》构建的初心和指导思想。
敬请十方大德贤者教正!

李煜(凤鸣)2019年3月於成都陋室居

    《少年郎中计划》

课程设置:二年

课程内容:

一、《易经》专修课程:
1、《孔子十翼》;
2、《梅花易数》实修;

二、中医专业课程:
1、《黄帝内经·素问》;
 2、《黄帝内经·灵枢》;

三、中医脉诊:
1、六经脉诊;
2、二十四脉诊;
3、中医绝技一一悬丝把脉;
4、DNA脉诊(即通过对患者悬丝把脉,诊断出其亲属的病症)。

四、经络学说:
1、十四经穴位;
2、十二经筋和经别;
3、五脏五腑五俞穴;
4、子午流注;
5、灵龟八法;
6、推拿按摩34式。

五、特殊疗法:
1、少林武术点穴消瘤;
2、少林武术点穴接骨;
3、瑜伽声波消瘤;
4、瑜伽光波接骨;
5、疑难重症自然疗法。

六、太极武术专科:
1、太极武术;
2、太极内功;
3、太极医学。

七、文化训育:
1、经典学习;
2、诗词歌赋学习;
3、琴棋书画学习;

八、潜能开发:
1、智力提升;
2、四力培养(注意力、思维力、创造力、行动力);

特训目标与方向:

一、英语培训为全程课目并达四级水平;
二、参加全国与国际太极武术夺冠大赛;
三、两年后将会以特殊专长进入一流大学。

愿景:

  1. 通过两年培育, 中医脉诊和实际疗愈水平超过中医药大学毕业生水平。
  2. 通过两年培育,在疾病的诊断和治疗两方面达到世界一流水平!
  3. 英语达到直接与外国患者交流水平!

罗老师在这里插一句:能够与患者交流重点是熟悉医学专业术语,不代表这个学生肯定可以在生活中的其他领域直接与老外交流。学中医和学英语差不多都需要那种比较安静的喜欢思考的孩子,好动的以及喜欢动手的孩子一般不太适合学外语。对于少数英语零基础而且勤奋自觉的天才少年,两年时间达到英语口语流利的水平是可以的。假如每天记住10个单词,一年下来可以记住3650个单词,这就可以达到日常应用所需要的词汇量了,另外当然还需要花很多时间默写英语课文、背诵,强化记忆。

招生标准:

  1. 家长须对中医文化和传统文化有深沉的感情;
  2. 家长须持高度信任和支持态度;
  3. 学生须身体健康,无重大疾病;
  4. 招收年龄9岁一15岁,特殊情况经考核4一6岁者。

学习费用:

一年39000元(不包括参加国内外各项大赛费用),具备特殊培养价值的天才儿童免费受教。

《欲望都市》新剧开拍 [双语阅读],美国娱乐新闻

大概七八年前,有一次由于时差的关系,在巴黎机场候机的时候,趴在桌子上睡着了,结果只好换飞机,在莫斯科机场转机时滞留了一天一晚,才登上下一班飞机回到北京。奇怪的是,那一次滞留在莫斯科机场意外地碰见了一位湖南株洲的女孩,她在巴黎工作,大概也是因为想省钱,选择了俄罗斯航空公司的航班,而且也和我一样在莫斯科机场滞留了一天一晚。

我们在这一天一晚之中,就一起坐在机场过道或者某个房间的地板上看《欲望都市》,哈哈大笑,看完了就在地板上睡觉。一天一晚很快就过去了,丝毫不觉得难熬,也不觉得地板硬。

那时候是夏天或者秋天,机场里不冷。

所以,今天读到这则新闻,决定翻译出来,给同学们作为学英语的资料。有空我会读出来,作为听力提升资料。

适合阅读群体:中学生、大学生、成年人

欲望都市里的四位主角

A new chapter 新的剧集 of “Sex and the City 欲望都市” is coming to HBO Max 不久之后将登上HBO Max这个电视频道.

Sarah Jessica Parker 萨拉 杰西卡 帕克 announced the new series 向外公布了这个新的系列 “And Just Like That …” 取名叫《就这样》(不再是欲望都市) in which she will star 在剧中她自己仍是领衔主演 (and executive produce 同时也是执行制片人) with Cynthia Nixon 与另外一位原来的主演 欣西亚 尼克森 (那位律师的扮演者)and Kristin Davis 和克里斯丁 戴维斯(扮演画廊经理的). Parker, 55, 如今已经是55岁的帕克 posted a teaser video of iconic New York City locations and sounds to Instagram on Sunday 周日这天,在自己的 INSTAGRAM 账号上发布了一个以纽约地标建筑和声音为内容的序曲视频,with the caption 说明文字是这样的, “I couldn’t help but wonder 我很好奇… where are they now 他们现在在哪里? X, SJ.”

The NYC-based revival 这个续集仍然以纽约为背景,will follow Carrie (Parker), Miranda (Nixon) and Charlotte (Davis) 讲述的是凯丽、米兰达和夏洛特的故事 as “they navigate the journey from the complicated reality of life and friendship in their 30s 从她们几个三十多岁时,复杂的人生和友情开始,to the even more complicated reality of life and friendship in their 50s 一直持续到她们50多岁时,更加复杂的生活和友情,” according to an HBO Max news release 这是HBO MAX频道上的新闻描述这个新剧所用的词句.

Noticeably missing from the production 很多人都会注意到剧组中一个人的缺席 is Kim Cattrall 她就是金 卡特洛, who played Samantha in the series 她是原剧中沙曼莎的扮演者,that ran on HBO from 1998 to 2004 原剧从1998年到2004年一直在HBO热播, and two “Sex and the City” movies 她还出现在了两部 欲望都市电影中. Cattrall vowed in July 2019 卡特洛在2019年7月发誓 she would “never” appear in another movie 她不会再出演任何电影.

Fans commented on Parker’s Instagram post 有粉丝在帕克的INSTAGRAM 帖子下方留言,about the lack of Samantha 谈到了沙曼莎的缺席这件事, including @j.asminemartin 其中有一个粉丝叫j.asminemartin,who explained 她解释说 that “they dislike each other. 这两个人互相不喜欢”

Parker replied 帕克回应道: “I’ve never said that 我从来没有说过这种话. Never would 永远不会. Samantha isnt (sic) part of this story沙曼莎不会成为新故事中的一部分. But she will always be part of us 但是她永远会是我们中的一员.” Another user 另外一个用户,他叫, @sylviasalcedola, wrote that 写道 she “will miss Kim/Samantha 她会想念金和沙曼莎的.” Parker wrote back 帕克回复道, “we will too 我们也会的. We loved her so我们都很爱她.”

Though Cattrall has not posted a statement about the show on social media 虽然卡特洛本人还一直没有在社交媒体上对于这个新剧集发表任何声明, she did like a tweet from a fan 但是她在一个粉丝的推特帖子下点了赞pointing out her absence from the project 这个帖子指出了她在剧组中的缺席.

“I absolutely love Sex and the City 我真的很喜欢《欲望都市》这个剧集,and whilst I am saddened that Samantha will not return 虽然一方面我对于沙曼莎不能回归这件事感到难过, I applaud doing what is best for you 但是做人首先是让自己开心,and think this is great example of putting yourself first 我认为,这件事就是一个很好的示范,先照顾好自己,” reads the tweet from user @charlieronce 这是一个叫做CHARLIERONCE的用户的推特上写的, posted Monday发表于星期一. “Well done @KimCattrall 给你点赞,金”

Cattrall also liked another tweet posted Monday 卡特洛还在星期一的另外一个推特帖子下点了赞,by 这个用户叫@TheWomensOrg. The account retweeted an image of a 2019 statement 这个帖子转发了一张2019年一份个人申明的图片,from Cattrall声明是卡特洛所出, in which she said她当时说道, “I don’t want to be in a situation for even an hour where I’m not enjoying myself. 如果某个环境让我不开心,哪怕只是一个小时,我也会选择远离。” The account added 那个用户补充说: “We couldn’t agree with you more on this one 对于这一点,我们都绝对支持你。@KimCattrall.”

USA TODAY 《今日美国》has reached out to Cattrall’s rep 联系了卡特洛的代理人for comment 听她如何回应.

The 10-episode, half-hour new series 这个新剧会有10集,每一集是半小时,is scheduled to begin production in New York in “late spring,” 暂定于明年晚春开始在纽约开拍according to the release 新闻报道这样交代. No date was given for streaming 何时发布预告片暂时还没定.

长沙县金井镇:inMountains Home School [Hunan Changsha, China]