Alibaba Get Quotes

Today is tough. Tomorrow is tougher. The day after tomorrow is beautiful. But most people die tomorrow night and don’t get the chance to see the sun rise the day after tomorrow.

Uber, the world’s largest taxi company, owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, owns no inventory. Airbnb, the world’s largest accommodation provider, owns no real estate.

The same thing, notes Brynjolfsson, happened 120 years ago, in the Second Industrial Revolution, when electrification—the supernova of its day—was introduced. Old factories did not just have to be electrified to achieve the productivity boosts; they had to be redesigned, along with all business processes. It took thirty years for one generation of managers and workers to retire and for a new generation to emerge to get the full productivity benefits of that new power source. A December 2015 study by the McKinsey Global Institute on American industry found a “considerable gap between the most digitized sectors and the rest of the economy over time and [found] that despite a massive rush of adoption, most sectors have barely closed that gap over the past decade … Because the less digitized sectors are some of the largest in terms of GDP contribution and employment, we [found] that the US economy as a whole is only reaching 18 percent of its digital potential … The United States will need to adapt its institutions and training pathways to help workers acquire relevant skills and navigate this period of transition and churn.” The supernova is a new power source, and it will take some time for society to reconfigure itself to absorb its full potential. As that happens, I believe that Brynjolfsson will be proved right and we will start to see the benefits—a broad range of new discoveries around health, learning, urban planning, transportation, innovation, and commerce—that will drive growth. That debate is for economists, though, and beyond the scope of this book, but I will be eager to see how it plays out. What is absolutely clear right now is that while the supernova may not have made our economies measurably more productive yet, it is clearly making all forms of technology, and therefore individuals, companies, ideas, machines, and groups, more powerful—more able to shape the world around them in unprecedented ways with less effort than ever before. If you want to be a maker, a starter-upper, an inventor, or an innovator, this is your time. By leveraging the supernova you can do so much more now with so little. As Tom Goodwin, senior vice president of strategy and innovation at Havas Media, observed in a March 3, 2015, essay on TechCrunch.com: “Uber, the world’s largest taxi company, owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. And Airbnb, the world’s largest accommodation provider, owns no real estate. Something interesting is happening.

You work at Alibaba, so you’re using your AI to better understand consumer behavior. Like what a consumer is looking for, what are they buying—if they buy x, then they are more likely to also buy y and z, so you can build a microtargeted ad to get a product in front of them. Right?” Hank inquired. Dan nodded. “Yes. We learned a lot of this from how Amazon built their system. For instance, when Google AdSense first came out, Amazon was the largest consumer of keyword marketing. Eventually, once Amazon had built a large enough platform, they were able to start doing that themselves. At Alibaba, we replicated that system. I suppose the only real difference between our two companies is we have access to a much larger demographic of users and consumers given China’s population.” Hank explained, “The Met want my help in creating a predictive behavior analysis program. They want me to build a program that will allow them to identify people who may be about to commit a crime. This way they can move officers to intercede or be there when it happens. One, I’m not sure it’s totally possible to create something like that, and two, I’m not sure we want to create a society where we have AIs anticipating our actions before we take them.

Xiaomi’s use of crowdsourcing to get input on ways of improving its phones and to create a buzz for each new release.

Find Your Supplier I’ve come to trust and rely on suppliers from Alibaba.com, but I know it has its detractors. When it comes to user experience, the site is, frankly, a bit of a mess. There’s also a certain distance between you and the supplier that the more firm-handshake-loving, look-them-in-the-eye-while-you’re-negotiating types don’t like. These days, though, Alibaba has a lot of competition, so there are plenty of options out there if you want a different path to your product. You can search for wholesalers, manufacturing companies, or contract manufacturers for your chosen product and find any number of smaller companies you can contact personally to get that more direct experience. Or, if you’re feeling particularly old-fashioned, you can attend a trade show in the market you’re going into. Find out where the next event is, hop on a plane, and go speak to a room full of potential manufacturers in a new city. Some people even go so far as to fly to China to meet directly with manufacturers. I’ve never done that—and I never plan to do that—but plenty of my friends swear by it. Of these options, though, I’d still recommend starting on Alibaba or a similar site and ordering ready-made product samples. Something magical happens when you hold a product in your hand: You realize it’s real. While it may seem at the outset like the best way to make your perfect product is to go meet a contract manufacturer in person and get them to build your design from scratch, that option comes with a lot more risk: the risk of lost time. We’re talking about at least three months before you see your first prototype—more likely six, or even twelve. All of that and you won’t even know right away if the resulting prototype will be the one that will make your brand. That’s why I recommend you come up with the idea, get samples, and improve over time. Perfectionists hate the approach, but you can’t expect to make it to a million dollars in twelve months if it takes twelve months just to get a look at what you’re creating.

One factor in his decision was a sense of giving it a try. Ma has always felt that one does not measure success just by the results; instead, he feels that the experience of doing something is in itself a kind of success. “You go out and charge around…if it doesn’t work, you can always bow out. But if you just think over thousands of things at night and in the morning keep on walking the same old path, you never get anywhere. You don’t grow. You might as well try.” Ma has often commented on the fact that he is praised less for his acumen than for his courage.

The search for “better cab” was not limited to the United States. Cheng Wei, an engineer at the Chinese tech giant Alibaba, missed several flights in China because of his failure to get a taxi in time. Fed up, in 2012 he founded DiDi, which means “beep beep” in Chinese. Now called DiDi Chuxing after a merger, it has become the largest ride-hailing company in the world.

In a paper published in 1950, the computer scientist Alan Turing suggested a legendary test for whether an AI exhibited human-level intelligence. When AI could display humanlike conversational abilities for a lengthy period of time, such that a human interlocutor couldn’t tell they were speaking to a machine, the test would be passed: the AI, conversationally akin to a human, deemed intelligent. For more than seven decades this simple test has been an inspiration for many young researchers entering the field of AI. Today, as the LaMDA-sentience saga illustrates, systems are already close to passing the Turing test. But, as many have pointed out, intelligence is about so much more than just language (or indeed any other single facet of intelligence taken in isolation). One particularly important dimension is in the ability to take actions. We don’t just care about what a machine can say; we also care about what it can do. What we would really like to know is, can I give an AI an ambiguous, open-ended, complex goal that requires interpretation, judgment, creativity, decision-making, and acting across multiple domains, over an extended time period, and then see the AI accomplish that goal? Put simply, passing a Modern Turing Test would involve something like the following: an AI being able to successfully act on the instruction “Go make $1 million on Amazon in a few months with just a $100,000 investment.” It might research the web to look at what’s trending, finding what’s hot and what’s not on Amazon Marketplace; generate a range of images and blueprints of possible products; send them to a drop-ship manufacturer it found on Alibaba; email back and forth to refine the requirements and agree on the contract; design a seller’s listing; and continually update marketing materials and product designs based on buyer feedback. Aside from the legal requirements of registering as a business on the marketplace and getting a bank account, all of this seems to me eminently doable. I think it will be done35 with a few minor human interventions within the next year, and probably fully autonomously within three to five years.

A platform is a raised, level surface on which people or things can stand. A platform business works in just that way: it allows users—producers and consumers of goods, services, and content— to create, communicate, and consume value through the platform. Amazon, Apple’s App Store, eBay, Airbnb, Facebook, LinkedIn, Pay- Pal, YouTube, Uber, Wikipedia, Instagram, etsy, Twitter, Snapchat, Hotel Tonight, Salesforce, Kickstarter, and Alibaba are all platform businesses. While these businesses have done many impressive things, the most relevant to us is that they have created an oppor- tunity for anyone, even those with limited means, to share their thoughts, ideas, creativity, and creations with millions of people at a low cost. Today, if you create a product or have an idea, you can sell that product or share that idea with a substantial audience quickly and cost-effectively through these platforms. Not only that, but the platforms arguably give more power to individuals than corporations since they’re so efficient at identifying ulterior motives or lack of authenticity. The communities on these platforms, many of whom are millennials, know when they’re being sold to rather than shared with, and quickly eliminate those users from their con- sciousness (a/k/a their social media feeds). Now, smaller organizations and less prosperous individuals are able to sell to or share their products, services, or content with more targeted demographics of people. That’s exactly what the modern consumer desires: a more personalized, connected experience. For example, a Brooklyn handbag designer can sell her handbags to a select group of customers through one of the multitude of fashion or shopping platforms and create an ongoing dialogue with her audience through a communication platform such as Instagram. Or an independent filmmaker from Los Angeles can create a short film using a GoPro and the editing software on their Mac and then instantly share it with countless people through one of a dozen video platforms and get direct feedback. Or an author can write a book and sell it directly from his or her website and social channels to anyone who’s excited about it. The reaction to standardization and globalization has been enabled by these platforms. Customers can get what they want, from whomever they want, whenever they want it. It’s a revised and personalized version of globalization that allows us to maintain and enhance the cultural connections that create the meaning we crave in our lives.

products; send them to a drop-ship manufacturer it found on Alibaba; email back and forth to refine the requirements and agree on the contract; design a seller’s listing; and continually update marketing materials and product designs based on buyer feedback. Aside from the legal requirements of registering as a business on the marketplace and getting a bank account, all of this seems to me eminently doable. I think it will be done with a few minor human interventions within the next year, and probably fully autonomously within three to five years.