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2014年5月30日 星期五

3D 列印與機器人將撞出新火花? ( Intel's 3D-printed robot Will Become A Trend To Future Of IT Consumer Industrial ? )

Meet Jimmy, Intel's 3D-printed robot for consumers

Meet Jimmy. He's the friendly walking robot that Intel is designing for consumers, and he can do all the things you might require of a robotic pal, including singing, translating languages, sending tweets on your behalf and even serving you beer.

Intel describes Jimmy as a research robot, but a less sophisticated version of the adorable droid will go on sale later this year for $1,600 (£957). The caveat is that you will have to 3D print your Jimmy. The 3D printing blueprints will be available without charge, but to construct the robot you will also need to purchase a kit from Intel that will contain all the parts of Jimmy that aren't printable, including motors and an Intel Edison processor.

If you manage to get your hands on a Jimmy and you're the tech savvy sort, you'll be able to get your robot to perform unique tasks and share your discoveries with other users. The robot was created by Intel's resident futurist Brian David Johnson, who compares Jimmy to a smartphone with customisable apps.

"What's so exciting about the open source model is the public gets involved in developing this first generation of crowdsourced, consumer robots. We all get a say in what they do, and together we will come up with far more ideas, more innovation, and more creativity," he is quoted as saying in an Intel blog post. ... 持續閱讀

英特爾出招 讓機器人在家列印

英特爾力拱3D列印再出招,昨(29)日發表售價1,600美元(約新台幣4.8萬元)的3D列印製造機器人相關套件,讓消費者在家透過3D列印,便可以製作會講話、會走路的機器人,引爆3D列印市場商機。

業界人士指出,鴻海董事長郭台銘力推機器人帶動工廠自動化,使得機器人成為市場新寵兒,英特爾將3D列印與機器人兩大市場當紅話題結合在一起,預料將掀起旋風。過去消費者使用3D列印,由於多數不具備美工背景,在缺乏軟體支援情況下,無法透過3D列印隨心所欲製作想要的成品。英特爾提供低價軟體套件,讓消費者能很快上手,透過3D列印製作機器人,將引爆3D列印市場龐大商機。

英特爾昨天並發表會走路、會講話的機器人,特別的是,這個機器人零件是由3D列印而成。這個機器人名叫做吉米(Jimmy),英特爾執行長科再奇(Brian Krzanich)在它陪伴下走上加州蘭喬帕洛斯維第斯(Rancho Palos Verdes)的程式碼大會(Code Conference )舞台。

英特爾說,吉米是研究型機器人,將不收費提供消費者比較低階的 3D列印機器人方案,合作夥伴則出售非 3D列印的零件組,例如引擎與一個英特爾艾迪生電腦處理器。使用者可以透過電腦程式讓吉米唱歌、翻譯語言、發送推特推文,甚至為主人拿罐冰涼的啤酒。

英特爾說,「Jimmy」這個會走路、會講話的機器人,零件是由3D列印而成,並透過其 Edison 晶片模組驅動,用戶只要有 3D印表機,購買工具組後,就能自行打造機器人。
英特爾預計今年下半年推出相關套件,任何人都可以透過網路下載打印零部件,再組裝機器人,其他如馬達、電池、處理器、電線等無法藉由3D印表機打印的零件,也可以在網路上購買。

英特爾表示,機器人套件針對一般消費市場版本售價約1,600美元,並希望未來五年內降至1,000美元 ... 持續閱讀

Imagine Your Robot Today Design One Tomorrow

Did you know according to predictions by the International Federation of Robotics, by the end of 2011, the world’s population of service robots could exceed 17 million units?  Intel’s 21st Century Robot program aims to increase the growth rate, diversity, and utility of robots by giving anyone the ability to create their own robot—just as Intel Researcher Brian Johnson did by creating his robot, Jimmy—with its own unique purpose.

Imagine if you could create your own robot. What would it look like? What would it do? Would it remind you to take medication? Feed your pets? Set the table? According to Intel’s resident futurist, Brian David Johnson, that’s pretty much up to you. Working with a team of Intel researchers and engineers through Intel’s 21st Century Robot initiative, Johnson has created files for an open source robot that can be printed on a 3-D printer and programmed to do whatever you might like.

Johnson’s team has already shared the template for a pilot robot, Jimmy, with 10 teams at various universities, to download, print, and program their own smart mascots.

Best of all, this technology is already here. In May 2014, Johnson’s 21st Century Robot event will unveil new robots created by 10 university teams–the first open source robotics demonstration of its kind. Soon after, you’ll be able to download the files and create your own customizable robot, likely for under $1000 ... 持續閱讀


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2013年12月14日 星期六

機器人科技及應用成為 Google、Amazon、鴻海等公司未來投資重點 ( Robot industrial become a big investment from Google to Amazon and Foxconn )

谷歌攻機器人 大手筆併7企業

Google involve in Robot industrial will make a big impact to human
谷歌身為全球網路搜尋龍頭,亟欲拓展新事業,力推機器人計劃,有請Android幕後推手魯賓( Andy Rubin )操刀,谷歌並大手筆併購,將7家企業納入麾下。

根據彭博報導,魯賓3月卸下谷歌公司(GoogleInc.)Android掌門人之位後,轉而領軍機器人計劃,並且不動聲色的在日本與美國併購了多家企業。魯賓人稱「Android之父」,他將Android平台推向顛峰,在行動智慧手機市場取得領先地位。在魯賓的帶領下,Android平台快速崛起,並且超越蘋果( AppleiOS ,奪下智慧手機七成市占。

Someday, Robot will have soul and free will, if Google involve
谷歌執行長佩吉(Larry Page)對紐約時報( NYT )透露:「我對魯賓的機器人大計感到興奮莫名。魯賓上一個大賭注Android,最初看來十分瘋狂,但最終將超級電腦放進數億人的口袋裡。機器人大計還在初期階段,但我已迫不及待想看未來會有什麼進展。」

總部位在加州山景城(Mountain View)的谷歌,不斷拓展新的事業領域,希望藉此另闢營收管道,並致力保持作為創新企業的優勢,以吸引更多頂尖人才。

谷歌的機器人大計包括電腦化眼鏡、無人駕駛汽車與寬頻通信網路等。

亞馬遜擬推無人機 美媒:地面配送才是主導
Amazon use PrimeAir will reduce the transportation cost and improve
delivery service

據美國《華盛頓郵報》12月2日報導,亞馬遜計劃五年內推出空中貨物配送機,以期提高送貨效率,搶佔市場先機。當前不少美國電商對此撓有興趣,但報導指出,盡管亞馬遜空中運送機是不錯的嘗試,但是地面為主的車輛配送才是零售業的未來發展方向。

  報導稱,亞馬遜空中運送機的研發或給零售業帶來革命性變化,對其他零售電商甚至實體店都帶來了不小威脅。但在近幾年自動配送科技不斷髮展的背景下,空中配送科技面臨地面無人駕駛車輛的有力競爭,並且從長遠來看,地面配送裝置將主導未來零售業。

  奇點大學網絡與計算機教授布拉德 譚布萊頓表示:“長期來看,地面貨物運輸工具的效率更高,能夠將貨物運送到更多地方,因而更符合零售業發展的主流方向。”他指出,空中運輸具有相對局限性,樹木、高大建築物等障礙物使得貨物不能準確送達指定地點。此外,風力和天氣狀況對空中運輸帶來了一定麻煩。相比之下,地面無人駕駛機顯得輕巧靈活,而且成本相對低廉,安全性能高,更有利於貨物的配送。

  報導同時指出,空中運輸和地面運輸各有其利弊。空中運輸不適合諸如桌鋸和橡皮船等較大體積的貨物配送,而地面配送則無法像空中運輸那樣快速將貨物送達至顧客。然而,當貨物送達目的地之后怎麼樣處理包裹的問題是兩種運輸方式面臨的共同問題。譚布萊頓指出,在此問題上空中配送可能更具優勢,因為它能將貨物空降到庭院或者屋頂,一定程度上以防止能夠盜竊事件的發生;而地面配送則需要顧客倉庫的密碼,一定程度上帶來了貨物安全隱患。

  但長遠來看,隨着地面配送技術的發展,車輛能夠直接將貨物送到收貨人手中,還可以通過顧客手機的GPS 定位系統確定顧客的方位,以便盡快實現貨物交接,從而極大增強了安全性和可靠性。

  報導稱,未來的零售業可能是空中配送和地面配送共存的局面。然而低成本、大容量、高靈活性的地面配送更加有可能成為21世界零售業未來的主導配送方式。

機器人大軍來了!你的工作在哪裡?
robot cleaner will become ill-expensive and popular

 隨著中國工資高漲,台商製造業大量起用機器人、工廠走向無人化,已不再是科幻小說的情節。雖然低階勞力會被取代,但機器人及其周邊產業,可望創造更多就業機會。微軟創辦人比爾蓋茲(Bill Gates)與蘋果創辦人賈伯斯(Steve Jobs)兩人,不但改變了全球產業的方向,也形塑了人類今日工作、生活、娛樂的樣貌;他們雖然諸多意見不盡相同,但卻一致地認為,大型企業下一個研發與營利的重點,將會是機器人。

廉價勞工天堂不復存在

 對台灣而言,機器人的議題並非遠在天邊。由於中國沿海省分平均工資快速攀升,甚至已高過台灣的平均工資,使得長期倚賴低廉工資的台商,轉型已迫在眉睫。但不論將工廠遷移到工資低廉的內陸省分,或是重新與國際接軌的緬甸,困難程度與代價都比外界想像來得巨大;這也是為何鴻海董事長郭台銘宣示,將大舉進軍機器人產業,期待以機器人取代人工,成為製造業的生產主力。
 在台商企業中,鴻海、上銀動作最快,皆已量產工業用機器人,往後5年將投資上千億元,在台灣中部打造機器人生產基地;郭台銘更宣稱,2014年鴻海集團的機器人數量,將提升至100萬台。在可見的未來,機器人產業的人才需求將會大幅成長,成為經濟火車頭,帶動零組件產業向前躍進。

誰說機器人搶走勞工飯碗?

 受到科幻動漫、電影的影響,例如《無敵鐵金剛》、《鋼彈》、《變形金剛》等,裡面造型功能酷炫的機器人,制約了大多數人對機器人的想像。其實,現實世界已量產的機器人,功能皆相當簡單,大多尚處於在實驗室研發、測試的萌芽階段,但預計很快即將跨向大爆發期,進而改變整個世界。
 台灣機器人研究機構中,執牛耳者首推工研院,陸續不斷將技術移轉給廠商。工研院產經中心機械與系統研究組組長羅一中表示,雖然美國、日本投入研發機器人多年,但台灣在關鍵的機械、電子零組件上,仍具有一定優勢。他預言,機器人時代來臨後,部分低階工作不免會被取代,但是與機器人相關的工作機會,同時也將大量被創造出來,勢必改變勞動結構與生態。
 「『無人工廠』並非夢想,在日本TOYOTA的汽車生產線,負責焊接、組裝等工作的,幾乎都已經是機器人。」羅一中分析,外界對機器人有諸多誤解,導致許多勞工擔憂,自己的工作會被機器人取代,但證諸一些已採用機器人的產業,情況並非如此,「美國巴爾的摩與丹麥北部的造船業,在導入機器人後,勞工不但沒有因此失業,還因業績大幅成長,平均薪資跟著水漲船高!」

機器人有別於工具機

想要瞭解機器人產業,就得先瞭解機器人的歷史與定義。工研院產經中心機械與系統研究組研究員葉錦清解釋,機器人的英文robot,是由捷克文robota而來,最早出現在1920年捷克劇作家K. Capek的作品中,原指「勞役、奴隸」。1961年,美國優力美訊(Unimation)公司生產首款工業機器人,即名為robot,從此,robot成為機器人的專有名詞。

 汽車業發跡自美國,但改良汽車使其普及化的卻是日本,機器人產業亦然;日商 FANUC(發那克)已擠下優力美訊,成為全球機器人產業的龍頭。葉錦清指出,緊追在日本、美國之後的是德國、瑞士,連韓國的現代汽車,也積極著手研發機器人。
 細看FANUC這家公司,便可知曉為何各個先進國家,都想搶進機器人產業。若論員工規模,FANUC僅有5千人,遠不及號稱120萬大軍鴻海集團的1%,但FANUC市值卻超過鴻海集團80%,舉凡生產手機、汽車、噴射機、戰車的廠商,都會使用FANUC的機器人,訂單應接不暇,有些機器人款式甚至僅此一家。由於FANUC地位無可取代,即使遭遇金融海嘯、日圓大幅升值,其營收、股價仍然逆勢上漲。
 然而,由於研發機器人的廠商,多半也是工具機大廠,不少人將「工具機」與「機器人」混為一談。工研院產經中心機械與系統研究組研究員葉熒美澄清,不一定得形狀完全擬人的機器,才可稱為機器人,有些機器人僅模擬人類手部,實應稱為「智慧手」。唯有具備多功能、可自動學習進化的機器,才可稱為機器人,否則就是普通的機器,或工具機。

絕不喊累,出錯率極低

 「一般來說,機器人可以分為『服務型』和『工業型』兩大類。」葉熒美說明,顧名思義,服務型機器人的功能主要是提供居家服務,例如陪伴獨居老人、照顧病患;而工業型機器人則應用於產業的生產、搬運流程,不同產業各有為其量身訂製的機器人,負責辛苦、骯髒、危險的低階工作(即日文中3K工作),「在已開發國家,由於人力短缺、工資昂貴,機器人將更為普及。」
 葉熒美指出,其實自1970年代以降,機器人產業便已穩定發展,尤其是2005年之後,由於新興國家工資逐步起漲,加上產品的精密度提高,企業對「絕不喊累、出錯率極低」的機器人,需求快速增加,機器人產業也隨之起飛,全球製造業即將掀起新一波的革命。
 除了服務型機器人、工業型機器人,葉熒美補充道,「軍事用機器人」數量也將激增,因為即使機器人造價再高,也比不上人類的生命珍貴,未來可能由機器人代替軍人上戰場。此外,機器人還可用於探勘、救災,政府部門或大型企業將成為主顧。

就近即可找到大買主

 然而,日、美等國積極發展機器人產業,台灣就一定得跟進嗎?在全球機器人產業生產鏈中,台灣可否占有一席之地?羅一中肯定地說,機器人普及化已是必然趨勢,潛在商機雄厚,而且可帶動諸多次產業的就業需求。台灣若能延續在IT、精密機械業的競爭力,必可在機器人時代扮演關鍵要角。
 「換個角度來看,台灣電子業、代工廠商相當多,他們正是工業機器人最重要的買主;台灣若能發展機器人產業,將可就近找到大買主!」
 羅一中笑著說,全球最重要的NB、手機代工大廠,幾乎都是台商,其主要生產基地皆在中國,現今都面臨人力成本驟增的壓力,未來勢必會提高使用機器人的比例。他透露,包括仁寶等NB代工大廠,都已著手招聘機器人相關的人才,準備迎接機器人時代。

歡迎機電整合跨領域人才

 機器人產業勃興,部分低階勞力工作職缺將消失,但會新增哪些人力需求?羅一中認為,機器人可說是「會移動的電腦」,需要機械、電子零件的高度整合,因此模組研發人員、程式設計人員需求將激增,而電機、電子、資訊、機械、材料等科系畢業生,將是最直接受益的族群。
 機器人需要撰寫程式、設計嵌入型系統、測試最適材質、研發各式零組件,但最重要的仍是機電系統整合,因此最歡迎跨領域人才,否則僅從一種專業的視野進行考量,未能全面思考,將很難融入機器人產業團隊。
 「想成為機器人時代的搶手人才,最好擁有2、3種以上專業。」羅一中指出,由於企業需求較一般家庭殷切,工業用機器人的發展腳步,將比服務型機器人來得快速,除了電子業將率先使用機器人,另外包括食品業、化工業等大型製造業,乃至於大規模耕種的農業,也可能需要添購機器人,「機器人產業從業者也要瞭解其他產業的特性、流程,才能為其量身訂製機器人。」

朝向多軸智慧化發展

 自2005年以降,工研院在機器人研發上,不斷有令人驚喜的成果;目前其技術可應用在保全系統,以及3C產品製造、自動化噴塗、精密機械生產系統上,成功協助廠商改善生產流程,提高產品良率。
 「目前,工業用機器人多為單軸,未來將朝多軸、智慧化方向發展。」羅一中認為,在可見的未來,模組化技術、系統模擬技術、自動化系統、即時回饋與修正系統、可變重組製造系統、遠端監控與診斷、即時回饋與修正系統、跨機構整合軟體等機電整合技術,將成為熱門新顯學,也是想進入機器人產業者的敲門磚。

帶動周邊產業利益均霑

 羅一中預測,機器人產業起飛之後,周邊產業如半導體產業、感應器產業、精密機械產業、電池產業、軟體產業等,可望獲得再次高度成長的新動力,人力需求也將持續旺盛。而且,機器人也會損壞、故障,光是保養、維修,便是相當可觀的商機。台灣零組件在價格上具競爭優勢,有機會成為周邊產業的領導者。

 「只要機器人的成本,比人工更便宜,製造業企業主便會毫不猶豫地大量使用機器人!」羅一中直言,別以為機器人時代不過是動漫、電影裡的情節,可能很快就會來臨,雖然面貌不盡相同,但絕對會衝擊產業與就業市場。與其坐視大環境巨變,不如主動迎擊、學習相關知識,才不會在機器人時代被淘汰。( 請見7月號(435期)Career職場情報誌 )

Play-i robots teach kids to code, available summer 2014

The Google-backed venture Play-i will start shipping robots to future programming geniuses in the summer of 2014, the company has announced. The colorful, round little robots--dubbed Bo and Yana--receive commands from a smartphone or tablet through a programming interface app designed for children ages 5 and up. The capabilities of Bo and Yana are pretty complex, but early testing by the company indicates the age-graduated programming languages are working.

Bo can move. He rolls around on three wheels, turns and pans his head, and has a variety of lights to indicate emotion and other feedback signals. He also comes with a speaker, IR beacons for communicating with other Play-i robots, a full navigational sensor array, and Mr. Potato Head-like attachments for toys, extensions and musical instruments.

Yana is a little more on the quiet side: She doesn't move, but like Bo she has an eye light for emotions, a speaker, IR beacons, an accelerometer and gyroscope, and attachment capabilities.

The programming interface comes in multiple tiers, so that younger children--ages 5 to 8--work with different languages than older groups--ages 8 to 12, and 12 and up. As children get older, they can move on to other kid-friendly languages like Scratch and Blockly. The ultimate goal is to get them to be able to program for iOS and Android. Play-i co-founder and CEO Vikas Gupta says the robot-centric educational method for teaching children to code sets the company apart from other kid-friendly languages in that the results exist in the physical world, which children can more easily relate to than a simulated character on a screen.

分析
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2013年6月19日 星期三

Andrew McAfee: 未來的工作形態至機器人的世界 ( What will future jobs look like when the robot become more intelligent? )

TYogi Berra, agreed. He said, "It's tough to make predictions, especially about the future."  he writer George Eliot cautioned us that, among all forms of mistake, prophesy is the most gratuitous. The person that we would all acknowledge as her 20th-century counterpart,

I'm going to ignore their cautions and make one very specific forecast. In the world that we are creating very quickly, we're going to see more and more things that look like science fiction, and fewer and fewer things that look like jobs. Our cars are very quickly going to start driving themselves, which means we're going to need fewer truck drivers. We're going to hook Siri up to Watson and use that to automate a lot of the work that's currently done by customer service reps and troubleshooters and diagnosers, and we're already taking R2D2, painting him orange, and putting him to work carrying shelves around warehouses, which means we need a lot fewer people to be walking up and down those aisles.

Now, for about 200 years, people have been saying exactly what I'm telling you -- the age of technological unemployment is at hand — starting with the Luddites smashing looms in Britain just about two centuries ago, and they have been wrong. Our economies in the developed world have coasted along on something pretty close to full employment.

Which brings up a critical question: Why is this time different, if it really is? The reason it's different is that, just in the past few years, our machines have started demonstrating skills they have never, ever had before: understanding, speaking, hearing, seeing, answering, writing, and they're still acquiring new skills. For example, mobile humanoid robots are still incredibly primitive, but the research arm of the Defense Department just launched a competition to have them do things like this, and if the track record is any guide, this competition is going to be successful. So when I look around, I think the day is not too far off at all when we're going to have androids doing a lot of the work that we are doing right now. And we're creating a world where there is going to be more and more technology and fewer and fewer jobs. It's a world that Erik Brynjolfsson and I are calling "the new machine age."

The thing to keep in mind is that this is absolutely great news. This is the best economic news on the planet these days. Not that there's a lot of competition, right? This is the best economic news we have these days for two main reasons. The first is, technological progress is what allows us to continue this amazing recent run that we're on where output goes up over time, while at the same time, prices go down, and volume and quality just continue to explode. Now, some people look at this and talk about shallow materialism, but that's absolutely the wrong way to look at it. This is abundance, which is exactly what we want our economic system to provide. The second reason that the new machine age is such great news is that, once the androids start doing jobs, we don't have to do them anymore, and we get freed up from drudgery and toil.

Now, when I talk about this with my friends in Cambridge and Silicon Valley, they say, "Fantastic. No more drudgery, no more toil. This gives us the chance to imagine an entirely different kind of society, a society where the creators and the discoverers and the performers and the innovators come together with their patrons and their financiers to talk about issues, entertain, enlighten, provoke each other." It's a society really, that looks a lot like the TED Conference. And there's actually a huge amount of truth here. We are seeing an amazing flourishing taking place. In a world where it is just about as easy to generate an object as it is to print a document, we have amazing new possibilities. The people who used to be craftsmen and hobbyists are now makers, and they're responsible for massive amounts of innovation. And artists who were formerly constrained can now do things that were never, ever possible for them before. So this is a time of great flourishing, and the more I look around, the more convinced I become that this quote, from the physicist Freeman Dyson, is not hyperbole at all. This is just a plain statement of the facts. We are in the middle of an astonishing period.

["Technology is a gift of God. After the gift of life it is perhaps the greatest of God's gifts. It is the mother of civilizations, of arts and of sciences." — Freeman Dyson] ( 科技是上帝的恩賜。自生命的禮物後,它也許是最偉大之神的恩賜。它是文明、藝術和科學之母 — Freeman Dyson )

Which brings up another great question: What could possibly go wrong in this new machine age? Right? Great, hang up, flourish, go home. We're going to face two really thorny sets of challenges as we head deeper into the future that we're creating.

The first are economic, and they're really nicely summarized in an apocryphal story about a back-and-forth between Henry Ford II and Walter Reuther, who was the head of the auto workers union. They were touring one of the new modern factories, and Ford playfully turns to Reuther and says, "Hey Walter, how are you going to get these robots to pay union dues?" And Reuther shoots back, "Hey Henry, how are you going to get them to buy cars?"

Reuther's problem in that anecdote is that it is tough to offer your labor to an economy that's full of machines, and we see this very clearly in the statistics. If you look over the past couple decades at the returns to capital -- in other words, corporate profits -- we see them going up, and we see that they're now at an all-time high. If we look at the returns to labor, in other words total wages paid out in the economy, we see them at an all-time low and heading very quickly in the opposite direction.

So this is clearly bad news for Reuther. It looks like it might be great news for Ford, but it's actually not. If you want to sell huge volumes of somewhat expensive goods to people, you really want a large, stable, prosperous middle class. We have had one of those in America for just about the entire postwar period. But the middle class is clearly under huge threat right now. We all know a lot of the statistics, but just to repeat one of them, median income in America has actually gone down over the past 15 years, and we're in danger of getting trapped in some vicious cycle where inequality and polarization continue to go up over time.

The societal challenges that come along with that kind of inequality deserve some attention. There are a set of societal challenges that I'm actually not that worried about, and they're captured by images like this. This is not the kind of societal problem that I am concerned about. There is no shortage of dystopian visions about what happens when our machines become self-aware, and they decide to rise up and coordinate attacks against us. I'm going to start worrying about those the day my computer becomes aware of my printer.

So this is not the set of challenges we really need to worry about. To tell you the kinds of societal challenges that are going to come up in the new machine age, I want to tell a story about two stereotypical American workers. And to make them really stereotypical, let's make them both white guys. And the first one is a college-educated professional, creative type, manager, engineer, doctor, lawyer, that kind of worker. We're going to call him "Ted." He's at the top of the American middle class. His counterpart is not college-educated and works as a laborer, works as a clerk, does low-level white collar or blue collar work in the economy. We're going to call that guy "Bill."

And if you go back about 50 years, Bill and Ted were leading remarkably similar lives. For example, in 1960 they were both very likely to have full-time jobs, working at least 40 hours a week. But as the social researcher Charles Murray has documented, as we started to automate the economy, and 1960 is just about when computers started to be used by businesses, as we started to progressively inject technology and automation and digital stuff into the economy, the fortunes of Bill and Ted diverged a lot. Over this time frame, Ted has continued to hold a full-time job. Bill hasn't. In many cases, Bill has left the economy entirely, and Ted very rarely has. Over time, Ted's marriage has stayed quite happy. Bill's hasn't. And Ted's kids have grown up in a two-parent home, while Bill's absolutely have not over time. Other ways that Bill is dropping out of society? He's decreased his voting in presidential elections, and he's started to go to prison a lot more often. So I cannot tell a happy story about these social trends, and they don't show any signs of reversing themselves. They're also true no matter which ethnic group or demographic group we look at, and they're actually getting so severe that they're in danger of overwhelming even the amazing progress we made with the Civil Rights Movement.

And what my friends in Silicon Valley and Cambridge are overlooking is that they're Ted. They're living these amazingly busy, productive lives, and they've got all the benefits to show from that, while Bill is leading a very different life. They're actually both proof of how right Voltaire was when he talked about the benefits of work, and the fact that it saves us from not one but three great evils.

["Work saves a man from three great evils: boredom, vice and need." — Voltaire] ( 工作拯救一個人離開三個魔鬼:無聊,墮落和生活需求 - Voltaire )

So with these challenges, what do we do about them?

The economic playbook is surprisingly clear, surprisingly straightforward, in the short term especially. The robots are not going to take all of our jobs in the next year or two, so the classic Econ 101 playbook is going to work just fine: Encourage entrepreneurship, double down on infrastructure, and make sure we're turning out people from our educational system with the appropriate skills.

But over the longer term, if we are moving into an economy that's heavy on technology and light on labor, and we are, then we have to consider some more radical interventions, for example, something like a guaranteed minimum income. Now, that's probably making some folk in this room uncomfortable, because that idea is associated with the extreme left wing and with fairly radical schemes for redistributing wealth. I did a little bit of research on this notion, and it might calm some folk down to know that the idea of a net guaranteed minimum income has been championed by those frothing-at-the-mouth socialists Friedrich Hayek, Richard Nixon and Milton Friedman. And if you find yourself worried that something like a guaranteed income is going to stifle our drive to succeed and make us kind of complacent, you might be interested to know that social mobility, one of the things we really pride ourselves on in the United States, is now lower than it is in the northern European countries that have these very generous social safety nets. So the economic playbook is actually pretty straightforward.

The societal one is a lot more challenging. I don't know what the playbook is for getting Bill to engage and stay engaged throughout life.

I do know that education is a huge part of it. I witnessed this firsthand. I was a Montessori kid for the first few years of my education, and what that education taught me is that the world is an interesting place and my job is to go explore it. The school stopped in third grade, so then I entered the public school system, and it felt like I had been sent to the Gulag. With the benefit of hindsight, I now know the job was to prepare me for life as a clerk or a laborer, but at the time it felt like the job was to kind of bore me into some submission with what was going on around me. We have to do better than this. We cannot keep turning out Bills.

So we see some green shoots that things are getting better. We see technology deeply impacting education and engaging people, from our youngest learners up to our oldest ones. We see very prominent business voices telling us we need to rethink some of the things that we've been holding dear for a while. And we see very serious and sustained and data-driven efforts to understand how to intervene in some of the most troubled communities that we have.

So the green shoots are out there. I don't want to pretend for a minute that what we have is going to be enough. We're facing very tough challenges. To give just one example, there are about five million Americans who have been unemployed for at least six months. We're not going to fix things for them by sending them back to Montessori. And my biggest worry is that we're creating a world where we're going to have glittering technologies embedded in kind of a shabby society and supported by an economy that generates inequality instead of opportunity.


But I actually don't think that's what we're going to do. I think we're going to do something a lot better for one very straightforward reason: The facts are getting out there. The realities of this new machine age and the change in the economy are becoming more widely known. If we wanted to accelerate that process, we could do things like have our best economists and policymakers play "Jeopardy!" against Watson. We could send Congress on an autonomous car road trip. And if we do enough of these kinds of things, the awareness is going to sink in that things are going to be different. And then we're off to the races, because I don't believe for a second that we have forgotten how to solve tough challenges or that we have become too apathetic or hard-hearted to even try.

I started my talk with quotes from wordsmiths who were separated by an ocean and a century. Let me end it with words from politicians who were similarly distant.

Winston Churchill came to my home of MIT in 1949, and he said, "If we are to bring the broad masses of the people in every land to the table of abundance, it can only be by the tireless improvement of all of our means of technical production."

Abraham Lincoln realized there was one other ingredient. He said, "I am a firm believer in the people. If given the truth, they can be depended upon to meet any national crisis. The great point is to give them the plain facts."

So the optimistic note, great point that I want to leave you with is that the plain facts of the machine age are becoming clear, and I have every confidence that we're going to use them to chart a good course into the challenging, abundant economy that we're creating.

註:自從機器可以聽、說、了解人類基本語言,機器自動將占據人類許多工作,人類社會將啟動另一波革命,人類將只剩創造、律法、設計、企劃等高階工作,連整個教育工作都將改變,學生大幅知識不再依賴老師取而代之是網路的教學機器透過 Apps 讓孩子、學生與機器人玩中間學習,老師將被有些學生認為該淘汰的東西,機器人及機器不只是搶走許多工作,運用機器人及機器自動化國家及公司也將大幅超越沒有這些能力的,這些沒能力的國家也無能力抵抗有這些機器人自動化國家之經濟、政治力控制。



Andrew McAfee: 機器人搶了我們的工作嗎?

當數以千萬計的勞工 處於失業或是低度就業的狀況發生時 就會有不少人會對科技如何影響勞工這個議題有興趣 而當我開始檢視這個議題, 赫然發現 大家關切的主題是正確的 但又同時全然的地忽視了關鍵要點。 在這個主題上所提出的問題, 是關於 這些數位科技是否影響了人們謀生的能力? 或者, 換個說法就是 機器人是否正在搶走人類的工作機會? 有一些證據顯示的確如此

大蕭條(2008~2012)結束時, 美國的 GDP 恢復了 緩慢步調的上昇, 其他的一些 經濟指標也開始反彈,看起來 比較健康也比較迅速了。企業的獲利 是相當高的。事實上,如果把銀行業也包含進來 這些數值比以往任何時候都來得高。 企業在工具與設備的投資 還有硬體和軟體方面, 都處於歷史新高。 所以企業都在拿出支票本花錢投資 但是他們並沒有真正的擴大招募員工 這條紅線是就業人口的比率, 換句話說,就是處於就業年齡的美國人 真的有工作的比例 我們可以看到這個比例在大蕭條時萎靡 但是到現在都還沒有開始反彈回來

但是這個故事並不只是關於大蕭條 十年來,我們剛剛經歷了持續性的 相對低落的就業增長,尤其是當我們 與過去的幾個十年進行比較時, 2000年這個十年 是唯一的一次我們經歷到, 在十年期間的結束時的工作人口, 比十年剛開始的時候 還少的狀況. 這不是大家樂見的 當你用潛在就業人口的數據 來對照國內工作數量作圖,您會看到之間的差距 隨著時間越來越大,, 而在大蕭條的時候差距特別顯著 我做了一些簡單的計算。我把過去的 20 年的國內生產總值增長 和同一期間的勞動生產率的增長 用相當簡單直接的方式 嘗試預測維持經濟持續成長 所需要工作機會的數量, 而這是我算出的數據畫出的線 這是好事還是壞事?來看看政府預測的數據 關於就業人口的未來預測 所以如果這些預測是準確的, 這個差距不會被弭平

問題是,我不認為這些預測是準確的。 明白地說,我認為我的預測是太樂觀的 因為當我做預測時, 我假設了未來應該會 跟過去是相像的 在關於勞動生產力的成長方面,這是我不相信的會成立的假設 因為當我環顧四周,我認為我們並未考慮到那些 關於技術對勞動力市場的衝擊。 只是在過去的幾年中,我們已經看到數位工具 顯示的技能和能力,遠超過以往 而且從某種角度來說, 已經吃進了人類的賴以為生的 就業領域. 讓我舉幾個例子。

在過去的所有的歷史年代,如果你想要把某個文章 從一種語言翻譯成另一種, 必須要靠人類來做 現在我們有了多國語言的,即時的 自動翻譯服務, 還是免費的 經由我們使用的終端裝置, 直接在智慧手機就能用到 而如果有使用過這些翻譯服務,我們就會知道, 做得並不是完美, 但也夠得體了。

在過去的所有的歷史年代,如果你想要寫下一些東西, 比如一份報告或一篇文章,你必須透過人來做 不再是這樣了。這裡有一篇文章, 不久前發表在富比世雜誌上, 是關於蘋果公司的收益的 這篇文章是用演算法寫出來的 寫的不止是得體而已, 而是到了完美

很多人看到這些事情會說, "那又怎樣? 這些都只是非常特定、 狹窄領域的任務, 大多數的知識工作者實際上是通才, 他們做的是, 坐擁一個由專業技能和知識組成的 龐然巨物, 這些人運用龐大的技能與知識 來隨時對無法預測的要求, 馬上做出反應 這是非常、 非常難以自動化的工作" 就以一個最令人印象深刻的知識工作者 大家可能記得最近有一個人, 名叫肯恩 詹寧斯。 他在益智問答節目 "Jeopardy!" 連續贏了74次 把 300 萬美金的獎金帶回家。 在右邊的就是 肯恩, 比數是 三比一, 在與 IBM 的超級電腦 華生(Watson) 進行的 "Jeopardy!" 遊戲中被打敗了 所以當我們在看技術會怎樣影響到 一般知識工作者的時候,我開始思考 也許所謂的通才的特殊之處並不存在 尤其是當我們開始能夠做到例如 把 Siri (蘋果手機的語音助理) 連結到 華生 (IBM的超級電腦) 並且逐漸發展一些技術, 能了解人類說話內容 並且用人類語音回答我們 現在,Siri 還撐不上完美, 我們也常拿它的一些差錯 來開玩笑,但是我們仍應該記住, 如果像 Siri 和 華生 這樣的技術的改進 是沿著 摩爾法則 的預測軌跡,他們將 在六年中,這些技術將不只是進步兩倍 或進步四倍,他們會比現在進步 16 倍。 所以我開始覺得, 很多知識工作都將會受到技術的影響

而且 數位技術不只影響知識工作而已 它們也開始在實體世界大展身手了 前一陣子我有機會坐上了 Google 的自動駕駛汽車 它坐起來跟聽起來一樣的酷 我可以做證, 它能夠處理走走停停的路況 在101號公路上面, 開得非常平穩 總共大概有 350萬的人 在美國這裡, 以開卡車為職業謀生 我想這些人中, 有一部份會受到這項科技的影響 在目前, 人形機器人仍然還 非常的原始。它們會做的事情不多 但是它們發展得很快, 而且 DARPA, 就是國防部的投資部門, 一直試著讓他們的發展更加速。

所以,簡單地說,對啦,機器人就要來搶我們的工作了。 在短期內,我們可以刺激就業增長 透過鼓勵創業, 還有投資在基礎建設上 因為機器人目前仍然不是 很擅長修復橋樑。 但在不用太久,我想在場的各位 在有生之年,我們將會經歷到 經濟型態的轉變, 一種非常具有生產力 但是不需要許多的人類工作者的狀況 而如何管理這個轉變的發生, 將會是 我們的社會所面臨的最大挑戰。 伏爾泰總結了其中的原因。他說,"工作讓我們避開了 三個魔鬼: 無聊、 墮落, 和需要。"

縱使有這樣的挑戰,至少就我個人來說, 我仍然是個超級的數位樂觀主義者,我也同時 十分自信地認為,我們現在發展的數位技術 將會帶領我們進入一個烏托邦的未來, 而不是一個 反烏托邦式的未來。要解釋為什麼, 我想要丟出一個有些過度誇張大的問題。 我想問的是, 在人類歷史上 最重要的發展是什麼?

現在,我想分享一些我所找到的答案 來回答這個問題。這是一個很棒的問題 一問了就會展開無窮無盡的爭論 因為有些人會搬出 西方和東方的哲學的系統, 這些的確改變了很多人看待世界的方式 然後其他人會說:"才不是這樣,真正重大的 關鍵的發展, 是世界上主要宗教的建立 宗教改變了各地的文明 也改變並影響了無數人的一生如何度過 然後一些其他人會說, "其實,改變文明的,改變人們觀點的, 改變人們生活的 其實是帝國,在人類歷史上的重大發展 主要是關於征服與戰爭的故事" 然後一些愛開玩笑的人就會跟著提出說 "嘿,別忘了還有那些瘟疫。"(笑聲) 對這個問題,有一些樂觀的答案 比如有些人會提出的是 探索的年代(十五世紀) 對整個世界的開拓 其他人則將提出: 智慧方面的成就 在一些學科, 例如 數學, 就幫助人類對於 世界有更好的理解, 還有一些人會提出 那個 藝術與科學 深度繁榮發展 的時期。所以像這樣的辯論可以一直談下去 這個辯論談不完, 也不會有結論 也沒有唯一的答案。但如果你像我一樣,是個阿宅工程師 你會問,"嗯,有沒有實際的資料, 資料怎麼說?" 那你就會開始做一些我們有興趣的事情, 像是畫圖表 比方全世界的人口總數, 或是某些社會發展的數據, 或是社會進步的狀態 然後你開始繪製這些資料,因為,通過這樣的方式, 整個故事的全貌,在人類歷史上的大發展 應該會是那些造成這些圖表曲線變彎很多的

所以當你這樣做了,把資料畫出圖表了 你很快就會得到一些奇怪的結論 你做出的結論是,事實上,前面講的這些答案 沒有一個是真正重要的。(笑聲) 這些答案根本對這些圖表曲線沒有影響。(笑聲) 事實上只有一個故事, 一項發展 在人類的歷史上, 真正折彎了那些曲線, 而且彎了 將近90 度,這個故事, 就是 技術。

像是蒸汽引擎, 還有其它的相關技術 帶動了工業革命, 改變了整個世界 對人類歷史產生的重大的影響 套用 歷史學家 伊恩 · 莫里斯 (Ian Morris) 的話說, 這項發展讓先前發生的其它事情都變得微不足道了 這項發展, 把我們的肌肉力量 放大了無窮倍 克服了人類身體肌肉的限制 而現在, 我們正經歷著 超越人類個別大腦的限制的時機 將我們的心智能力放大無窮多倍的時候 這必然也是一個至少 跟克服人類的肌肉力量限制 一樣重大的發展吧? 所以請原諒我又再重覆了,當我觀察到 這段期間內數位科技的發展 我們離這段期間的終點還很遠 而當我看到所發生的事情, 對我們經濟 還有社會所發生的影響, 我的唯一結論是 我們還沒看到重大的里程碑, 最好的日子還在未來。

讓我舉幾個例子。 經濟體並不是靠能源運作的, 也不是靠資本 也不是靠勞力。經濟體的運行靠的是想法。 所以創新的工作, 產生新的想法的工作 是人類所能做的 多種 最強大的 最基本的 工作之一,這些工作是人類在經濟體裡 能做的。而這也是我們過去如何創新的方式 我們會發現一大群看起來相當類似的人 — — (笑聲) — — 我們帶他們離開原本的精英的機構,把他們放到 另一個精英的機構,然後等著創新的發生 現在 — — (笑聲) — — 作為一個在麻省理工學院還有哈佛度過整個職涯的白種人 我對這沒有什麼問題。(笑聲) 但一些其他人遇到了問題,他們有點像是 搞砸了派對, 而且放鬆了創新應有的規範 (笑聲) 這裡是一些 頂尖程式員寫程式大賽的優勝者 我向你保證沒有人在意 這些孩子是在哪裡長大, 在哪裡念書, 或是他們的長相。所有人只會在意 他們工作產出的品質, 他們的點子的品質。

一次又一次的,我們看到這種情況發生 在這個科技推動的世界 創新的工作越來越開放, 更具包容性、 更透明、 和更以志業為基礎, 這會繼續下去, 不管 麻省理工學院和哈佛大學 的觀點,而我對這樣感到非常的快樂。

我偶爾會聽到,"好吧,我同意你的這個說法, 但技術仍是富裕世界的工具 有些事情仍不會發生,這些數位工具也不會 改善金字塔底部的人民的生活"。 我對這樣的說法有個清楚的回應: 一派胡言。 金字塔的底部的人民, 正大大受益於技術的發展。 經濟學家 羅伯特 · 詹森 (Robert Jensen) 做了這項很棒的研究 在前一陣子,他詳細的研究了 在 印度喀拉拉邦的漁村發生的事情 當行動電話第一次交到當地人手上的時候 若你寫的文章是要刊在 經濟學季刊雜誌 的時候 您必須使用非常乏味和非常周到的語言, 但當我讀他的論文的時候,我覺得詹森試圖 對我們尖叫,說,你看,這是一個大題目啊。 價格變穩定了,因此人們可以計畫他們的經濟生活。 廢棄物不僅是減少而已;根本就是沒有廢棄物。 這些村莊裡的買家和賣家的生活 都被明顯地改善了 現在,我不認為 詹森 只是很幸運的 剛好遇上了一群的村莊 碰巧在這些村莊裡 科技讓生活變得更好了 實際上發生的狀況, 是他詳細地記錄了 這些一再重複發生的現像, 當技術 第一次進到一個環境和社會。 人民的生活, 人民的幸福, 都顯著地提高了。

所以,當我看到這些證據, 我想到 未來我們可以有的發展空間, 我當然會變成一個 超級的數位樂觀主義者, 我開始覺得, 物理學家 福利曼 戴森 說的這句話很棒 他說的話並不誇張, 而是對於目前正在發生的現象的一個精準的描述。 我們面臨的數位化 還有科技, 都是偉大的恩賜 處於這個時代的我們, 是非常幸運的 能夠活在這個數位技術蓬勃發展的時期 這些技術的影響越來越廣, 也越來越深 深刻地影響了整個世界

所以,是啊,機器人正在搶走我們的工作, 但若只著重這件事情, 就會漏掉了整件事情的重點了 真正的重點是, 人類可以被解放出來, 做其他的事情 而我們可以做的事情, 我非常確定的說 我們會去做的是減少貧困和苦差事 減少世界各地的苦難。我很有信心 我們會學習如何在這個星球上更輕鬆的過活 我也非常的確信, 我們將會運用 我們的全新的數位化工具, 非常深切的 並且非常良善的用它, 讓先前發生過的每個改變 相較之下都變得微不足道了。 我最後有一句話, 要留給一個人 這個人在數位時代的演進, 是先驅者的地位 就是我們的老朋友, 肯恩 詹寧斯, 我同意他的看法 我打算這樣回應他的話: "我,代表我自己,歡迎我們的新電腦領主"。 非常感謝。


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