Curated Insights 2018.05.13

Who’s winning the self-driving car race?

Only Waymo has tested Level 4 vehicles on passengers who aren’t its employees—and those people volunteered to be test subjects. No one has yet demonstrated at Level 5, where the car is so independent that there’s no steering wheel. The victors will also need to pioneer businesses around the technology. Delivery and taxi services capable of generating huge profits is the end game for all.

Goldman Sachs Group Inc. predicts that robo-taxis will help the ride-hailing and -sharing business grow from $5 billion in revenue today to $285 billion by 2030. There are grand hopes for this business. Without drivers, operating margins could be in the 20 percent range, more than twice what carmakers generate right now. If that kind of growth and profit come to pass—very big ifs—it would be almost three times what GM makes in a year. And that doesn’t begin to count the money to be made in delivery.

Waymo had three collisions over more than 350,000 miles, while GM had 22 over 132,000 miles.

After Waymo, a handful of major players have demonstrated similar driving capabilities. It’s hard to say anyone has an edge. One advantage for GM: There’s a factory north of Detroit that can crank out self-driving Bolts. That will help GM get manufacturing right and lower costs without relying on partners. Right now, an autonomous version of the car costs around $200,000 to build, compared to a sticker price of $35,000 for an electric Bolt for human drivers.

Musk wants to use cameras and develop image-recognition capabilities so cars can read signs and truly see the road ahead. He has said Tesla is taking the more difficult path, but if he can come up with a better system, he will have mastered true autonomy without the bulky and expensive hardware that sits on top of rival self-driving cars. “They’re going to have a whole bunch of expensive equipment, most of which makes the car expensive, ugly and unnecessary,” Musk told analysts in February. “And I think they will find themselves at a competitive disadvantage.”

China’s got Jack Ma’s finance giant in its crosshairs

The rules will force Ant and some of its peers that straddle at least two financial industries to obtain licenses from China’s central bank and meet minimum capital requirements for the first time, according to people familiar with the matter, who asked not to be identified discussing private information. The companies’ ownership structures and inter-group transactions will also be restricted, the people said, adding that the rules need approval from China’s State Council and are subject to change.


Starbucks: A big deal should mean a sharper focus

The deal appeared positive because it ”accelerates the reach of Starbucks’ channel development segment globally by providing Starbucks with a strong distribution partner; and enables Starbucks to step up shareholder returns.

CEO Kevin Johnson said as much on the conference call. “We’ve been very focused on streamlining the company in a way that allows us to put our focus and energy behind the highest priority value creation drivers for the company,” he said. “And certainly, our retail business in the U.S. and China are the two big growth engines.”


Tinder: ‘Innovation’ can help it fight off Facebook

“In digital, and especially on mobile, there is always one brand that defines each core use case,” Ross wrote. “In dating, it is Tinder, whose user base and subscription base continue to explode globally. We don’t see that changing, even with scaled competition from Facebook.”

Tinder’s brand, scale and “freemium” model—with free basic access and the opportunity to pay up—should continue to make it appealing to users (particularly younger ones) even as new competitors emerge, according to Ross. “There is no real reason for singles not to still use the platform,” he wrote.

“The hard paywall brands tend to be those that are for the more serious online dater,” Ross noted, including older users and those seeking comparatively long-term relationships. “This is not only where Facebook has said it will focus, but also where it can best leverage its data and recommendation capabilities.”


Why A.I. and cryptocurrency are making one type of computer chip scarce

Crypto miners bought three million G.P.U. boards — flat panels that can be added to personal and other computers — worth $776 million last year, said Jon Peddie, a researcher who has tracked sales of the chips for decades. That may not sound like a lot in an overall market worth more than $15 billion, but the combination of A.I. builders and crypto miners — not to mention gamers — has squeezed the G.P.U. supply. Things have gotten so tight that resellers for Nvidia, the Silicon Valley chip maker that produces 70 percent of the G.P.U. boards, often restrict how many a company can buy each day.


PayPal: How it can fight back against Amazon Pay

“Given its two-sided network of 218 million consumers in the PayPal digital wallet and 19 million merchants for whom PayPal provides online & mobile merchant acquiring services, plus Xoom and Braintree, PayPal benefits from one of the most extensive payments ecosystems globally. Within this ecosystem, PayPal offers the best mobile wallet with an 89% conversion ratio from shopping cart to payment, creating strong consumer and merchant lock-in.”

It has other ways to provide incentives. “PayPal enjoys strategic alliances with Visa, Mastercard, Google, Facebook, Apple, Alibaba, Baidu, and a number of financial institutions, including Bank of America and HSBC, allowing it access to a vast customer base and potential consumer incentive plans,” they wrote, noting an HSBC offer to pay customers $25 if they link their cards to PayPal.

Etsy CEO: ‘Signs of progress’ in boosting repeat business

Etsy isn’t trying to become a place people shop every day, but it does want people to shop there more often. (The company cites figures saying 60% of customers buy just once a year.) It said both new and repeat buyers were up 20% year-over-year in Q1, which Silverman called “early signs of progress.”

Management wants to increase the “lifetime value” of a shopper by creating a cycle in which the company pays an acceptable rate for a new user, converts them to a buyer and then a repeat buyer, and then translates the money that buyer provides into more efficient marketing that acquires more new customers.

As Warren Buffett’s empire expands, many jobs disappear

Despite Buffett’s folksy image, Berkshire has thrived for years by keeping things lean and buying companies that—in his own words—are run by “cost-conscious and efficient managers.” The result? Buffett hasn’t shut down many operations during his five decades atop the firm. But more than two dozen of his companies employ fewer people today than they used to.

Berkshire often doesn’t note in the data when one of its businesses buys another, which can make it seem like there’s hiring when the conglomerate is just absorbing people. The company also doesn’t always make clear when units are combined or spun out of others.

The formula behind San Francisco’s startup success

Losing money is not a bug. It’s a feature. Not making money can be the ultimate competitive advantage, if you can afford it, as it prevents others from entering the space or catching up as your startup gobbles up greater and greater market share. Then, when rivals are out of the picture, it’s possible to raise prices and start focusing on operating in the black.

You might wonder why it’s so much better to lose money provided by Sequoia Capital than, say, a lower-profile but still wealthy investor. We could speculate that the following factors are at play: a firm’s reputation for selecting winning startups, a willingness of later investors to follow these VCs at higher valuations and these firms’ skill in shepherding portfolio companies through rapid growth cycles to an eventual exit.

Cheap innovations are often better than magical ones

Much of what we call “artificial intelligence”, say the authors, is best understood as a dirt-cheap prediction. Sufficiently accurate predictions allow radically different business models.

If a supermarket becomes good enough at predicting what I want to buy — perhaps conspiring with my fridge — then it can start shipping things to me without my asking, taking the bet that I will be pleased to see most of them when they arrive.

Another example is the airport lounge, a place designed to help busy people deal with the fact that in an uncertain world it is sensible to set off early for the airport. Route-planners, flight-trackers and other cheap prediction algorithms may allow many more people to trim their margin for error, arriving at the last moment and skipping the lounge.

Then there is health insurance; if a computer becomes able to predict with high accuracy whether you will or will not get cancer, then it is not clear that there is enough uncertainty left to insure.


The future of digital payments? Computational contracts, says Wolfram

Wolfram anticipates at least three levels of computational contracts, from minor transactions (less than $50) to mid-level (thousands of dollars) and high-end (in the millions).

“The lowest level–typically involving small amounts of money–one will be happy to execute just using someone’s cloud infrastructure (compare Uber, AirBnB, etc.),” he writes in his blog post. “There’s then a level at which one wants some degree of distributed scrutiny, and one expects a certain amount of predictability and reliability. This is potentially where blockchain (either public or private) comes in.

“But at the highest level–say transactions involving millions of dollars–nobody is going to realistically want to completely trust them to an automated system (think: DAO, etc.). And instead one’s going to want the backing of insurance, the legal system, governments, etc.: in other words one’s going to want to anchor things not just in something like a blockchain, but in the ‘weightiest’ systems our current society has to offer.”

A hedge-fund fee plan that only charges for alpha

Consider a hypothetical traditional hedge firm that has $1 billion of assets under management and another that charges a fulcrum fee of 0.75 percent, plus a quarter of the profits. If the markets rise 10 percent and the fund outperforms by 200 basis points, or 2 percent, a traditional hedge fund would charge $20 million (2 percent of $1 billion), plus a performance fee of $24 million (20 percent of the $120 million in gains) for a total of $44 million. Our hypothetical fulcrum fund would charge $12.5 million — a management fee of $7.5 million (0.75 percent of $1 billion), and a performance fee of $5 million (25 percent of the 2 percent above-market gain). The breakdown of the $24 million performance fee portion of the traditional hedge fund works out to $20 million for plain old beta and $4 million for alpha. That total is five times more than what the fulcrum shop charges for investment gains.

Now imagine a scenario where the market is up by 10 percent and a fund is up only 8 percent, or has 2 percent underperformance. The traditional hedge fund would have charged $20 million (2 percent of the $1 billion in assets under management) plus a performance fee of $16 million (20 percent of the $80 million in gains) for a total of $36 million dollars. Meanwhile, the fulcrum fund would charge $7.5 million (the 0.75 percent management fee), but it also would give a refund of $5 million (25 percent of the 2 percent, or $20 million, in underperformance). The net charge to clients would be $2.5 million. This is a small fraction of the amount charged by a standard hedged fund.

Why winners keep winning

With that 20% initial advantage, the final market share increases significantly. What is even more amazing is that this advantage was only given in the first round and everything after that was left to chance. If we were to keep increasing the size of the starting advantage, the distribution of final market shares would continue to increase as well.

The purpose of this simulation is to demonstrate how important starting conditions are when determining long term outcomes. Instead of marbles though it could be wealth, or popularity, or book sales. And most of these outcomes are greatly influenced by chance events. We like to think in America that most things come down to hard work, but a few lucky (or unlucky) breaks early on can have lasting effects over decades. If we look at luck in this way, it can change the way you view your life…

I ask you this question because accepting luck as a primary determinant in your life is one of the most freeing ways to view the world. Why? Because when you realize the magnitude of happenstance and serendipity in your life, you can stop judging yourself on your outcomes and start focusing on your efforts. It’s the only thing you can control.

Curated Insights 2018.04.08

The most important self-driving car announcement yet

The company’s autonomous vehicles have driven 5 million miles since Alphabet began the program back in 2009. The first million miles took roughly six years. The next million took about a year. The third million took less than eight months. The fourth million took six months. And the fifth million took just under three months. Today, that suggests a rate on the order of 10,000 miles per day. If Waymo hits their marks, they’ll be driving at a rate that’s three orders of magnitude faster in 2020. We’re talking about covering each million miles in hours.

But the qualitative impact will be even bigger. Right now, maybe 10,000 or 20,000 people have ever ridden in a self-driving car, in any context. Far fewer have been in a vehicle that is truly absent a driver. Up to a million people could have that experience every day in 2020.

2020 is not some distant number. It’s hardly even a projection. By laying out this time line yesterday, Waymo is telling the world: Get ready, this is really happening. This is autonomous driving at scale, and not in five years or 10 years or 50 years, but in two years or less.


Facebook, big brother and China

Whether users are OK with this is a personal judgment they make, or at least should be making, when using the services. In open and democratic societies, perhaps users are less worried about what large corporations, who can be secretly compelled to hand over data to the state, know about them. Users are protected by the rule of law, after all. If they are going to see advertising in exchange for content, storage and functionality, then they would rather see relevant than irrelevant advertising alongside their web pages, emails, photos, videos and other files. Most citizens are not criminals and not concerned about what the state knows – they just want to share their holiday photos and chat with each other and in groups via a convenient platform, knowing that Facebook can mine and exploit their data.

But in authoritarian states such as China which control what their citizens can see and which lack a reliable rule of law, such networks pose a bigger threat. Tencent, for example, with its billion active accounts, knows the social graph of China, who your friends and associates are, where you go, what you spend (if you use their payment app) and what you say to each other and in groups on the censored chat platform. Similarly Sina Weibo. The state security apparatus has access to all of this on demand, as well of course as access to data from the mobile phone operators. So even if you stay off the Tencent grid, if you use the phone network then the state will know a lot about anyone you call who is a user of these platforms, as well as being able to profile you based on your repeated common location with other users. All of this data is likely to be accessible to the state in China’s forthcoming Orwellian Social Credit System, a combination of credit rating with mass surveillance. Knowledge is power. No wonder then that China won’t allow Facebook into the game.

Nvidia announces a new chip… But it’s not a GPU

The new chip, NVSwitch, is a communication switch that allows multiple GPUs to work in concert at extremely high speeds. The NVSwitch will enable many GPUs – currently 16 but potentially many more – to work together. The NVSwitch will distance Nvidia from the dozen or so companies developing competing AI (artificial intelligence) chips. While most are focused on their first chips, Nvidia is building out highly scalable AI systems which will be difficult to dislodge.


Nvidia: One analyst thinks it’s decimating rivals in A.I. chips

[Nvidia CEO] Jen-Hsun [Huang] is very clever in that he sets the level of performance that is near impossible for people to keep up with. It’s classic Nvidia — they go to the limits of what they can possibly do in terms of process and systems that integrate memory and clever switch technology and software and they go at a pace that makes it impossible at this stage of the game for anyone to compete.

Everyone has to ask, Where do I need to be in process technology and in performance to be competitive with Nvidia in 2019. And do I have a follow-on product in 2020? That’s tough enough. Add to that the problem of compatibility you will have to have with 10 to 20 frameworks [for machine learning.] The only reason Nvidia has such an advantage is that they made the investment in CUDA [Nvidia’s software tools].

A lot of the announcements at GTC were not about silicon, they were about a platform. It was about things such as taking memory [chips] and putting it on top of Volta [Nvidia’s processor], and adding to that a switch function. They are taking the game to a higher level, and probably hurting some of the system-level guys. Jen-Hsun is making it a bigger game.

Nervana’s first chip didn’t work, they had to go back to the drawing board. It was supposed to go into production one or two quarters ago, and then they [Intel] said, ‘We have decided to just use the Nervana 1 chip for prototyping, and the actual production chip will be a second version.’ People aren’t parsing what that really means. It means it didn’t work! Next year, if Nervana 2 doesn’t happen, they’ll go back and do a Nervana 3.


Apple plans to use its own chips in Macs from 2020, replacing Intel

Apple’s decision to switch away from Intel in PC’s wouldn’t have a major impact on the chipmaker’s earnings because sales to the iPhone maker only constitute a small amount of its total. A bigger concern would be if this represents part of a wider trend of big customers moving to designing their own components, he said.

Apple’s custom processors have been recently manufactured principally by Taiwan Semiconductor Manufacturing Ltd. Its decision may signal confidence that TSMC and other suppliers such as Samsung Electronics Co. have closed the gap on Intel’s manufacturing lead and can produce processors that are just as powerful.

Live Nation rules music ticketing, some say with threats

Ticket prices are at record highs. Service fees are far from reduced. And Ticketmaster, part of the Live Nation empire, still tickets 80 of the top 100 arenas in the country. No other company has more than a handful. No competitor has risen to challenge its pre-eminence. It operates more than 200 venues worldwide. It promoted some 30,000 shows around the world last year and sold 500 million tickets.

Though the price of tickets has soared, that trajectory predates the merger and is driven by many factors, including artists’ reliance on touring income as record sales have plummeted.

Live Nation typically locks up much of the best talent by offering generous advances to artists and giving them a huge percentage of the ticket revenue from the door. Why? Because it can afford to. It has so many other related revenue streams on which to draw: sponsorships for the tour, concessions at venues, and, most of all, ticket fees. The fees supply about half of Live Nation’s earnings, according to company reports.

Critics say enforcement of the consent decree has been complicated by what they call its ambiguous language. Though it forbids Live Nation from forcing a client to buy both its talent and ticketing, the agreement lets the company “bundle” its services “in any combination.” So Live Nation is barred from punishing an arena by, say, steering a star like Drake to appear at a rival stop down the road. But it’s also allowed, under the agreement, to redirect a concert if it can defend the decision as sound business.

Roku’s business is not what you think

That’s far from the only ad inventory Roku has access to. The Roku Channel offers free-to-watch popular movies, which Roku sells ad time against. Many of Roku’s “free” channels are ad supported, with Roku having access to all or some of the ad time on many of those channels (not all of them).

While selling ads is the biggest piece of the company’s Platform business, there are some auxiliary sales as well. See those Netflix, Amazon, Pandora, YouTube, etc. buttons on your Roku remote? The company was paid to put them there. Additionally, some TV brands have licensed the right to include Roku OS right into their television set, another source of revenue.

All told, Platform revenue is 44% of total sales, and growing rapidly. In fact, it more than doubled in 2017, and has increased more than 3-fold over the past 2 years. Even better, Platform revenue carries a gross margin near 75%, meaning that already it makes up 85% of Roku’s gross profitability. Completing the trifecta of good news, Platform sales are far more recurring and reliable in nature than hardware sales, giving the company a firmer footing from which to expand their business. Bottom line here? Roku is not really a commodity hardware maker. It is more of a consumer digital video advertising platform.

There is no shortage of ways to get streaming content. And all of them are fighting tooth-and-nail for users. Google and Amazon practically give away their devices to get users into their ecosystem. Against that lineup, it really has very few competitive advantages. There is no meaningful lock-in to the platform. It is really quite simple and painless for a consumer to switch from a Roku to a competing offering. Getting new customers is even more of a dog fight.

Netflix makes up over 30% of streaming hours through Roku’s platform, but the channel provides essentially no revenue back. Same for Amazon, Hulu, and the most popular ad-supported video network in the world, YouTube. Roku relies on monetizing Roku Channel and other, less prominent content channels. However, there is nothing stopping those other channels from switching to a different ad provider, or (if they are large enough), building out their own.


Alibaba is preparing to invest in Grab

Alibaba leaned heavily on its long-time ally SoftBank — an early backer of Tokopedia and Grab — to get the Tokopedia deal ahead of Tencent. That’s despite Tokopedia’s own founders’ preference for Tencent due to Alibaba’s ownership of Lazada, an e-commerce rival to Tokopedia. SoftBank, however, forced the deal through. “It was literally SoftBank against every other investor,” a separate source with knowledge of negotiations told TechCrunch. Ultimately, Alibaba was successful and it led a $1.1 billion investment in Tokopedia in August which did not include Tencent.

CRISPR recorder

While the Cas9 protein is involved in cutting and correcting DNA, the Cas4 protein is part of the process that creates DNA and genetic memory. CRISPR evolved from a bacterial immune defense system in which bacteria destroy viral invaders. Now we are beginning to understand how bacteria detect the invaders and remember the encounters. With Cas4, bacteria can record these encounters in their DNA, creating a permanent ledger of historical events.

Our understanding of Cas4 is rudimentary, but its potential applications are provocative. Not only will it timestamp key events, but it should be able to monitor how an individual’s body works and how it reacts to different kinds of bacteria. A Cas4 tool should be able to fight antibiotic resistance, an important use case addressing a significant unmet need.

How do wars affect stock prices?

Our research is not alone in reaching this conclusion. A 2013 study of US equity markets found that in the month after the US enters conflict, the Dow Jones has risen, on average, by 4.0 percent—3.2 percent more than the average of all months since 1983. A 2017 study found that volatility also dropped to lower levels immediately following the commencement of hostilities relative to the build-up to conflict. During the four major wars of the last century (World War II, the Korean War, the Vietnam War, and the First Gulf War), for instance, large-cap US equities proved 33 percent less volatile while small-cap stocks proved 26 percent less volatile. Similarly, FTSE All Share and FTSE 100 volatility has historically fallen by 19 and 25 percent over one- and three-month horizons following the outbreak of conflict.

Regression to lumpy returns

Missing a bull can be even more detrimental than taking part in a bear. Following the two huge bear markets we’ve experienced this century, many investors decided it was more important to protect on the downside than take part in the upside. Risk is a two-way street and I’m a huge proponent of risk management, but investors have taken this mindset too far. Missing out on huge bull market gains can set you back years in terms of performance numbers because you basically have to wait for another crash to occur, and then have the fortitude to buy back in at the right time. I have a hard time believing people who missed this bull market because they were sitting in cash will be able to put money to work when the next downturn strikes.


How to talk to people about money

In the last 50 years medical schools subtly shifted teaching away from treating disease and toward treating patients. That meant laying out of the odds of what was likely to work, then letting the patient decide the best path forward. This was partly driven by patient-protection laws, partly by Katz’s influential book, which argued that patients have wildly different views about what’s worth it in medicine, so their beliefs have to be taken into consideration.

There is no “right” treatment plan, even for patients who seem identical in every respect. People have different goals and different tolerance for side effects. So once the patient is fully informed, the only accurate treatment plan is, “Whatever you want to do.” Maximizing for how well they sleep at night, rather than the odds of “winning.”

Everyone giving investing advice – or even just sharing investing opinions – should keep top of mind how emotional money is and how different people are. If the appropriate path of cancer treatments isn’t universal, man, don’t pretend like your bond strategy is appropriate for everyone, even when it aligns with their time horizon and net worth.

The best way to talk to people about money is keeping the phrases, “What do you want to do?” or “Whatever works for you,” loaded and ready to fire. You can explain to other people the history of what works and what hasn’t while acknowledging their preference to sleep well at night over your definition of “winning.”

Curated Insights 2018.01.28

Amazon Go and the future

In every case a huge amount of fixed costs up front is overwhelmed by the ongoing ability to make money at scale; to put it another way, tech company combine fixed costs with marginal revenue opportunities, such that they make more money on additional customers without any corresponding rise in costs.

To be both horizontal and vertical is incredibly difficult: horizontal companies often betray their economic model by trying to differentiate their vertical offerings; vertical companies lose their differentiation by trying to reach everyone. That, though, gives a hint as to how Amazon is building out its juggernaut: economic models — that is, the constraint on horizontal companies going vertical — can be overcome if the priority is not short-term profit maximization.

Amazon, though, having started with a software-based horizontal model and network-based differentiation, has not only started to build out its vertical stack but has spent massive amounts of money to do so. That spending is painful in the short-term — which is why most software companies avoid it — but it provides a massive moat. That is why, contra most of the analysis I have seen, I don’t think Amazon will license out the Amazon Go technology. Make no mistake, that is exactly what a company like Google would do (and as I expect them to do with Waymo), and for good reason: the best way to get the greatest possible return on software R&D is to spread it as far and wide as possible, which means licensing. The best way to build a moat, though, is to actually put in the effort to dig it, i.e. spend the money.

As for Amazon, the company’s goal to effectively tax all economic activity continues apace. Surely the company is grateful about the attention Facebook is receiving from the public, even as it builds a monopoly with a triple moat. The lines outside Amazon Go, though, are a reminder of exactly why aggregator monopolies are something entirely new: these companies are dominant because people love them. Regulation may be as elusive as Marx’s revolution.

People are using Netflix, Hulu, and Amazon Prime in very different ways

Diet Coke’s moment of panic

A growing consumer focus on health has clearly dented soda’s dominion. Beyond widespread concerns of the dangers of artificial sweeteners, government research has found that daily drinkers of diet soda are at higher risk for strokes and other “vascular events.” While Diet Coke’s new can designs are tall and slender—a possible reference to the body type a diet-beverage drinker seeks—more of them simply don’t trust any kind of soda to be a part of a healthy diet. Between 2000 and 2015, switching from sodas to other beverages saved the country an estimated 64 trillion calories in total—that works out to 71 fewer calories per day, per drinker.

The role of hydration has been outsourced to bottled water and sports drinks, like Gatorade. Getting a jolt of energy has been outsourced to coffee and energy drinks, like 5-Hour Energy. And the satisfaction of a cold liquid fizzing on one’s tongue? That’s been outsourced to the trendy crop of flavored seltzers, like LaCroix.


Nvidia, Western Digital at chips’ frontier

At the same time, Mobley, interestingly, asked if the ISA itself could be an “alternative” to a GPU or a digital signal processor (DSP). O’Connor seemed to indicate that was the case, saying “As they exist today, if you start implementing that kind of functionality — such as vector instructions, for example — you can implement all that functionality using the set of RISC-V extensions, instead of a proprietary instruction set architectures that might have existed up until now.”

That raises an interesting question for Nvidia as it rolls RISC-V out in chips in its next iteration of Falcon. Will an open, shared, standard ISA erode any of the lock-in that Nvidia gets for its GPUs? Or is the “CUDA” programming environment really the important software layer that helps Nvidia maintain and extend its dominance in programming?

Big bets on A.I. open a new frontier for chip start-ups, too

The explosion is akin to the sudden proliferation of PC and hard-drive makers in the 1980s. While these are small companies, and not all will survive, they have the power to fuel a period of rapid technological change.

Nvidia was best known for making graphics processing units, or G.P.U.s, which were designed to help render complex images for games and other software — and it turned out they worked really well for neural networks, too. Nvidia sold $143 million in chips for the massive computer data centers run by companies like Google in the year leading up to that summer — double the year before.

By early 2018, according to a report by Forbes, Cerebras had raised more than $100 million in funding. So had four other firms: Graphcore; another Silicon Valley outfit, Wave Computing; and two Beijing companies, Horizon Robotics and Cambricon, which is backed by the Chinese government.

It is still unclear how well any of these new chips will work. Designing and building a chip takes about 24 months, which means even the first viable hardware relying on them won’t arrive until this year. And the chip start-ups will face competition from Nvidia, Intel, Google and other industry giants.

Sony falls as JPMorgan questions bull case for image sensors

Sony is the global leader in the production of image sensors, camera chips which convert light into digital pictures and videos. Despite a cooling in the smartphone industry, it has benefited from a trend to include multiple image sensors in each phone — a technique used to create better-looking pictures and to power simple augmented-reality functions.

Weak demand for the new iPhone X will hurt Sony, which gets half of its image sensor revenue from Apple, Park wrote. He also said the trend for adopting dual cameras is not as strong as first believed, including among Chinese phone makers, which will further hit Sony’s sales.

In Sony’s latest quarter, image sensors accounted for 9.4 percent of revenue and 22 percent of operating profit.

The biggest electric vehicle company you’ve never heard of

Though it operates in similar sectors as Tesla, the companies are very different strategically. For instance, as Elon Musk’s Boring Company tunnels under cities to address congestion, BYD eyes elevated transportation.

Chinese tariffs and taxes on imported electric vehicles also benefit domestic manufacturers, which capture 93% of the market. BYD has an estimated 30% share. Tesla has 6% share, delivering an estimated 10,000 to 12,000 vehicles to China in 2016. Overall, electric vehicles represent less than 2% of total auto sales in China. Officials, however, aim to phase out fossil-fuel vehicles. BYD chairman Wang Chuanfu was quoted as saying that all vehicles will be electrified by 2030.

Although President Donald Trump has threatened a trade war with China, automobile manufacturing is less susceptible than other industries. Owing to freight rates, manufacturing cars locally within distribution markets makes economic sense. Still, BYD doesn’t currently have plans to sell consumer cars in the U.S. Owing to governmental policies and low fuel prices, Li said the U.S. market isn’t as welcoming to new energy vehicles as China, India, and Europe are.


Electricity from all forms of renewables will be consistently cheaper than fossil fuels by 2020

Today, fossil-fuel power typically costs between $0.05 to $0.17 per kWh. By comparison, consider the global-weighted average cost of electricity generated by various forms of renewables in 2017, as calculated by Irena: hydropower ($0.05 per kWh), onshore wind ($0.06 per kWh), bioenergy and geothermal ($0.07 per kWh), and solar photovoltaics ($0.10 per kWh).

Offshore wind and solar thermal power aren’t yet competitive with fossil fuels, but that should change by 2020, Irena predicts, with the cost of solar thermal falling to $0.06 per kWh and offshore wind to $0.10 per kWh. The drivers will be technology development, competitive bidding systems, and large base of experienced project developers across the world.


Bigger, higher and floating — advances that make wind a better power source

It accounted for close to 40 per cent of Denmark’s electricity mix in 2016 and about 10 per cent across the EU. Wind farms were the leading source of new electricity generating capacity in Europe, the US and Canada in 2015, and the second largest in China.

Despite this, less than 4 per cent of the world’s electricity came from the wind in 2015. That is nowhere near enough to help shift the global economy away from the climate-warming fossil fuels that still supply most of the world’s energy.


The three stumbling blocks to a solar-powered nation

Every hour, our sun bombards the Earth with enough light to satisfy humanity’s energy needs for an entire year.

Cell cost: For solar power to meet 30% of the world’s electricity needs, it will need to fall from its current cost of a dollar per watt of electricity to 25 cents per watt…Perovskite cells can be made from materials that could be radically cheaper than conventional silicon. They can also take on novel forms, such as a tint on windows or thin printable sheets. But they still face significant barriers to commercialization: They tend to rapidly degrade when wet, and scientists can’t create large cells with the same efficiency as the small ones they can make in a lab.

Energy management: It isn’t hard to get to the point where solar is producing too much power at some times of day, and none at all when it’s needed most. The first solar panel added to the grid helps offset midday consumption, but the last one to be added might be completely unnecessary, because the grid might already be saturated when it’s capable of producing the most power.

Soft utility costs: The Energy Department estimates that soft costs contribute as much as 64% of the cost of a solar installation. The rest of the cost is split between mounting hardware for solar panels and the cells themselves.

Why 2017 was the best year in human history

Every day, the number of people around the world living in extreme poverty (less than about $2 a day) goes down by 217,000, according to calculations by Max Roser, an Oxford University economist who runs a website called Our World in Data. Every day, 325,000 more people gain access to electricity. And 300,000 more gain access to clean drinking water.

Curated Insights 2018.01.07

The $100 billion venture capital bomb

Son must deploy $20 billion, or a fifth of the fund, every year for the next five years to meet investors’ terms and their expectations in a market that many already consider overvalued.

Son explained to Hauser that there was a big new wave of computing coming — the sixth, in Hauser’s estimation, following on from the mainframe, the minicomputer, the workstation, the PC, and mobile. This next wave would automate processes in industrial manufacturing and on consumer devices. Son said Arm could uniquely capitalize on this new order as the leading processor manufacturer behind the Internet of things.

“This is the company,” Son said in a televised interview. “No one can live on the earth without chips — it’s in cars, refrigerators, everywhere. So if chips are the things everyone needs, and one company has a 99 percent market share, there must be a barrier. They’re not monetizing well enough. But if I own it, we can monetize it much better. I think the company is going to be more valuable than Google.”

Aside from its 95 percent domination of smartphones, Arm has 34 percent of the global processors market. There are currently 110 billion Arm processors in the world. The company has forecast a total of one trillion by 2035. As the applications get more advanced — be that a car, a washing machine, or a drone — they demand smarter processors, which are more expensive to produce in-house. “We price our fee at a tenth of the cost of what it would cost to develop it yourself,” Thornton notes. “So when you’re staring down the barrel of $100 billion and ten years to develop that processor yourself, we can say it will cost $10 billion from us and you can have it instantly. This is why we have expanded so rapidly over 20 years. One by one, design team by design team, we will become the processor of choice in those markets.”

“Arm Holdings has an insight into the future. When Arm makes a contract with a new business venture, providing the Internet of things for automobiles or farming, Arm will know what is in the pipeline for the Internet of things two years ahead.” SoftBank, in turn, gets a head start on funding companies for a market that doesn’t yet exist.

Analysts say SoftBank, which declined to comment for this article, is at work on vertical integration: Foxconn builds devices, Arm supplies the chips, and SoftBank-owned Sprint and OneWeb, an Internet satellite company, operate the networks on which the devices run. Vision Fund portfolio companies will reap the benefits of these partnerships. SoftBank sits in the middle, introducing high-growth prospects from the fund to one another and to the infrastructure on which their success rides.

Units of time are the new currency

Buffett’s not wrong, but technology has changed the nature of competition. While businesses were once considered only as valuable as the dividends they paid out, the “impenetrable” moats that let companies spit off excess cash are dwindling. A moat today is simply a temporary buffer that helps a company get ahead of the next innovation cycle. When you compound time, you’re creating and recreating value faster than the current innovation cycle.

This is the formula for compounding time into a utility and beyond: 1) Reduce friction for your customers and yourself. Use the time you save to build your utility. 2) Compound time by investing in the ecosystem and getting other companies to integrate with your product. Other companies will integrate with you to save themselves time, building on top of your platform and giving you time to invest in the next great business. 3) Buy other people’s time to defend your utility and stay relevant. Smartly acquiring new products helps you maintain your utility.

Jeff Bezos: “All service interfaces, without exception, must be designed from the ground up to be externalizable. That is to say, the team must plan and design to be able to expose the interface to developers in the outside world. No exceptions.” While this created more work in the short-term, it broke Amazon down into hundreds of micro-services that communicated via APIs. By making all services accessible via API, Amazon drastically reduced the time it took to deploy new features and functionality.

Google’s machine-learning algorithms are reportedly five to seven years ahead of the competition. By keeping TensorFlow to itself, Google would have maintained its lead time — similar to how moats are created by stockpiling assets. But by taking the opposite approach and giving TensorFlow away for free, Google created a utility.

Building a traditional moat will be antithetical to building a great business. The only way to survive is to extract the core of your business and spread it out to compound returns on time. First, you have to save time for your customers and even yourself. Then, you have to invest it forward by co-operating with other products in your ecosystem. Finally, you have to acquire new innovation to maintain your lead.


Why has Waymo taken so long to commercialize autonomous taxis?

To estimate the rate at which passengers will tolerate autonomous taxi errors, we analyzed the manually driven car statistics to set the hurdle. On average human driven cars break down roughly once every 50,000 miles and crash once every 240,000 miles,2 thus offering perspective on acceptable tolerance rates for autonomous vehicle SIFs and UFs.

Supporting this hypothesis, its cars seem to have had difficulty making left turns. One possible explanation is that it has chosen not to vertically-integrate, outsourcing vehicle production to partners like Fiat Chrysler and then taking engineering shortcuts by integrating its sensor suite into a product manufactured away from its controls. In contrast, Tesla’s and Cruise Automation’s (GM) manufacturing operations are vertically-integrated, which could become an important source of competitive advantage.

We are skeptical of that negative conclusion for a number of reasons. Today, Waymo probably is trying to maximize its failure rate to identify faults and root them out. Some stretches of road are trickier and some intersections more difficult to navigate than others.

Getting my fix of Starbucks

SBUX has been successful engendering loyalty from its customers as well- Starbucks Rewards has 13.3mm members in the US and an incredible 36% of all dollars tendered in the stores is transacted through the loyalty program (US Company operated stores).

In the US- the average new SBUX location generates revenue of $1.5mm (average unit volume or AUV) and generates a year 1 store profit margin of 34% or $510k. Based on an average store investment of $700k in the US, this results in an ROI of ~75%. Compare this to a McDonalds with an ROI of ~30%, an average fast casual operator at ~40% or even Chipotle (at its peak before the food illness issues) at ~70%. This means that the average SBUX store earns back its investment a third of the way into its second year – very compelling unit economics. The math likely changes with higher investments in Reserve stores and premium Roasteries in the coming years but if these seek to elevate the overall SBUX experience and thus drive pricing power through the entire system, it’s the right move for the long term.

Starbucks is a well-positioned company led by a smart management team playing “the long game”. While store growth in more mature markets and continuing competition in premium coffee may be a drag to future growth, Starbucks benefits from a moat in the form of a strong brand and a loyal, repeat customer that can be extended into more markets and into more than just coffee. And I believe that this moat is sustainable under the right leadership team that understands that Starbucks delivers an experience that extends far beyond just selling coffee. The sustainability of the moat is predicated on continued investment to elevate the store experience and thus drive pricing power. Management has demonstrated a willingness and enthusiasm to invest and has ample runway to do so while also rewarding shareholders with share repurchases.

How big tech is going after your health care

Now, as consumers, medical centers and insurers increasingly embrace health-tracking apps, tech companies want a bigger share of the more than $3 trillion spent annually on health care in the United States, too. The Apple Heart Study reflects that intensified effort.

Each tech company is taking its own approach, betting that its core business strengths could ultimately improve people’s health — or at least make health care more efficient. Apple, for example, has focused on its consumer products, Microsoft on online storage and analytics services, and Alphabet, Google’s parent company, on data.

Last year, Facebook made it more appealing for pharmaceutical companies to advertise their medicines on the platform by introducing a rolling scroll feature where drug makers can list their drug’s side effects in an ad. Such risk disclosures are required by federal drug marketing rules.


Western Digital, Nvidia on board with ‘RISC-V,’ so pay attention, says Benchmark

Any investor interested in learning how adoption of RISC-V stands to disrupt the CISC and RISC processor domains, including discrete processors and/or processor IP (cores and architectures) embedded within simple MCUs as well as advanced ASICs. Additionally, RISC-V stands to disrupt R&D development roadmaps for merchant and captive SoC companies. For example, if Western Digital truly intends to adopt RISC-V in storage products, Marvell will need to reconsider usage of Arm cores. This could lower the upfront licensing and royalty costs for Marvell; however, it may require a revamping of Marvell’s storage controller design flow. Processor IP companies such as Arm Holdings, Synopsys, Cadence Design, Imagination Tech and even CEVA, Inc. could see an impact.

China removes 1,400 baby formula products from shelves

The regulations, effective Jan. 1, require factories making formula to register those products with China’s Food and Drug Administration and pass safety inspections. Plants are limited to working with three brands, and those brands can make only three different products each. China’s FDA has approved 940 infant-formula products from 129 factories so far, the agency said. That compares with more than 2,300 formulations available to parents before Jan. 1.

That vaulted Nestle, Danone and Reckitt Benckiser Group Plc into the top spots in the $20 billion market, according to Euromonitor International.

Capturing those families will be crucial. With the relaxation of China’s one-child policy, Reckitt Benckiser anticipates about 20 million babies being born annually, which could trigger an annual growth rate of at least 7 percent in the infant-formula category during the next five years, said Patty O’Hayer, a spokeswoman. The company bought Mead Johnson for $16.6 billion last year, and its Enfa and Enfinitas brands were approved for sale. Asia generated half of the Enfa lineup’s $3.7 billion in sales for 2016.

The Paris-based company wants to deploy technology such as laser printing to make tampering more difficult and QR codes to ensure traceability of a product back to the factory — moves intended to assure Chinese parents concerned about food safety.

Cancer deaths fall to lowest rate in decades

While a number of breakthrough, high-cost drugs have improved the outlook for people with some deadly cancers, the biggest cause of the decrease in deaths is that Americans are smoking less. The report found decreased smoking rates, and improved detection and treatment, have led to sharp declines in the rate of lung, breast, prostate and colorectal cancer deaths.

How blockchain technology is redefining trust

‘Regulators will like that blockchain-based transactions can achieve greater transparency and traceability– an “immutable audit trail”,’ Masters says. In other words, it could help eliminate the kinds of fraud that come from cooking the books.

How do typical loans work? A bank assesses the credit score of an individual or business and decides whether to lend money. The blockchain could become the source to check the creditworthiness of any potential borrower, thereby facilitating more and more peer‑​to‑​peer financing.

Consider traditional accounting, a multi-billion industry largely dominated by the ‘big four’ audit firms, Deloitte, KPMG, Ernst & Young, and PwC. The digital distributed ledger could transparently report the financial transactions of an organization in real time, reducing the need for traditional accounting practices. And that is why most major players in the financial industry are busy investing significant resources into blockchain solutions. They have to embrace this new paradigm to ensure it works for, not against, them.

In the patent, Goldman describes SETLcoin as having the potential to guarantee ”nearly instantaneous execution and settlement“ for trades. It would mean all the capital the bank is required to keep in reserve, to hedge against the risk of transactions if they don’t settle, would be freed up.

The blockchain raises a key human question: How much should we pay to trust one another? In the past year, I’ve paid my bank interest and fees, some hidden, to verify accounts and balances so that I could make payments to strangers. I’ve spent thousands of dollars on lawyers to draw up contracts because I am not quite sure how another person will behave (and to sort out a few incidents where trust broke down). I’ve paid my insurance company to oversee the risk around my health, car, home, and even life. I’ve paid an accountant to reconcile an auditing issue. I’ve paid an estate agent tens of thousands of dollars essentially to stand between me, the prospective buyer, and the current owner to buy a house. It would seem we pay a lot for people to lord over our lives and double-check what’s happening. All these ‘trusted intermediaries’ are part of the world of institutional trust that is now being deeply questioned.

Today, it is circa 1993 for blockchain technologies. Even though most people barely know what the blockchain is, a decade or so from now it will be like the internet: We’ll wonder how society ever functioned without it. The internet transformed how we share information and connect; the blockchain will transform how we exchange value and whom we trust.


Bitcoin-is-Worse-is-Better

It’s not the decentralized aspect of Bitcoin, it’s how Bitcoin is decentralized: a cryptographer would have difficulty coming up with Bitcoin because the mechanism is so ugly and there are so many elegant features he wants in it. A cryptographer’s taste is for cryptosystems optimized for efficiency and theorems; it is not for systems optimized for virulence, for their sociological appeal. Centralized systems are natural solutions because they are easy, like the integers are easy; but like the integers are but a vanishingly small subset of the reals, so too are centralized systems a tiny subset of decentralized ones. It may be that Bitcoin’s greatest virtue is not its deflation, nor its microtransactions, but its viral distributed nature; it can wait for its opportunity. If you sit by the bank of the river long enough, you can watch the bodies of your enemies float by.

Gyms ditch machines to make space for free weights

In recent years the 420-location chain has scaled back cardio and weight machines to 50% of floor space from about 66%. The gym devotes the other half of floor space to free weights and functional training, which includes things like kettlebell swings and body-weight exercises with TRX suspension straps. It has also expanded its studio group-exercise classes.

“I prefer to do classes, because the teacher pushes me farther than I would push myself,” she says. “I get bored on cardio machines or on the weight machines.”

The shift away from machines is even more pronounced overseas. In 54 gyms of varying price levels in the U.K., members’ time spent on cardio machines dropped 7% between 2013 and this year, even as the total number of gym visits increased, according to an analysis from Edinburgh-based tracking firm GYMetrix.

The Remarkable Early Years of Warren Buffett (Part 1)

The risks of buying a home that’s too big

“The biggest house isn’t necessarily the best house or even the best investment. An older, smaller home with a shorter commute, bigger lot or greater remodel potential may appreciate more. In fact, many fancy new homes can lose value quickly if a developer builds newer homes nearby, while older areas may have more enduring land value.”

“You want enough space to live comfortably, but you don’t want to heat, clean and pay taxes on space you aren’t utilizing.”

Long-term returns. The money saved in buying a right-size home could pay dividends in the future—literally. A $20,000 savings each year over the life of a 30-year mortgage could result in a nearly $1.2 million nest egg if invested in a stock market portfolio earning 4% a year, Ms. Adam says. The annual savings, when compounded over time, is likely to exceed the appreciation in your home’s value over the term of the mortgage.

Curated Insights 2017.11.26

What Tesla’s big rig must do to seduce truckers

In North America alone, the largest heavy duty freight trucks—Class 8 semis—account for about $30 billion in sales each year, or more than 250,000 new trucks, according to industry data tracked by Bloomberg. Class 8 trucks, which have a loaded weight rating of at least 33,000 pounds, come in a variety of shapes and sizes, from trash trucks and cement mixers to city buses all the way up to tractor-trailers whose drivers spend days and nights living on the road. The most common day cab delivery trucks cost around $100,000, and big rigs with sleeper cabins are about $150,000.

Batteries are the single most expensive component of an electric truck, and the battery of a cross-country hauler could cost $100,000 even before they build the truck around it. But that upfront investment can be offset by cheaper operating costs. Running a truck on electricity saves tens of thousands in fuel costs as well as savings of roughly 7 cents a mile on lower maintenance costs. And if the autonomous driving system is good enough to run without a driver, it could also dramatically cut labor expenses, which add about 57 cents for every mile on the road.

Any range less than 400 miles is likely meant for local and regional deliveries, the sort of thing done by UPS and FedEx or the type of hub-and-spoke model used by giant retailers such as Wal-Mart Stores Inc. to move goods from distribution centers to stores or warehouses. If Tesla wants to go after the longest routes to replace what are known as “over-the-road” trucks, which feature sleeping cabins for multi-day driving stretches, the company will need a range of at least 500 miles—or else a way to charge an electric truck that’s faster than anything in use now. The battery needs for each of these categories would be different, and so would the costs.

Perhaps Tesla’s biggest advantage over other truck makers is that its semi will share some core parts with the Model 3. Musk disclosed during an earnings call in May that the semi uses “a bunch” of Model 3 motors, which sit in line with the truck’s axles. These relatively cheap electric motors will give the semis unparalleled electric torque for getting quickly up to speed with a heavy load.


This man is leading an AI revolution in Silicon Valley—and he’s just getting started

Booming demand for its products has supercharged growth at Nvidia. Over the past three full fiscal years, it has increased sales by an average of 19% and profits by an astonishing 56% annually. Nvidia meanwhile has so far managed to retain its roughly 70% market share in GPUs despite competition from formidable rivals—among them Intel and AMD—who want their share of the billions in chip sales to come from this new tech revolution. “IBM dominated in the 1950s with the mainframe computer, Digital Equipment Corp. in the mid-1960s with the transition to mini-computers, Microsoft and Intel as PCs ramped, and finally Apple and Google as cellphones became ubiquitous,” wrote Jefferies equity analyst Mark Lipacis in a July note to clients. “We believe the next tectonic shift is happening now and Nvidia stands to benefit.”

“We believed this model of computing could solve problems that general-purpose computing fundamentally couldn’t. We also observed that video games were simultaneously one of the most computationally challenging problems and would have incredibly high sales volume. Those two conditions don’t happen very often. Video games was our killer app—a flywheel to reach large markets funding huge R&D to solve massive computational problems.”

“In the future, companies will have an A.I. that is watching every single transaction—every business process—that is happening, all day long. Certain transactions or patterns that are being repeated. The process could be very complicated. It could go through sales to engineering, supply chain, logistics, business operations, finance, customer service. And it could be observed that this pattern is happening all the time. As a result of this observation, the artificial intelligence software writes an artificial intelligence software to automate that business process. Because we won’t be able to do it. It’s too complicated.”

“We’re seeing early indications of it now. Generative adversarial networks, or GAN. I think over the next several years we’re going to see a lot of neural networks that develop neural networks. For the next couple of decades, the greatest contribution of A.I. is writing software that humans simply can’t write. Solving the unsolvable problems.”

Google advances their future smart clothing vision with focus on delivering an ‘interactive garment’

Notably the user is able to trigger various different types of functionalities through interactions with the interactive garment, such as by touching or swiping the user’s shirt sleeve. In addition, by enabling the triggering of functionality through interactions with a wearable garment, instead of a device, the user does not need to fiddle around with the user interface of a smartwatch or smartphone in order trigger a functionality. In fact, the user may be able to provide the gesture to the interactive garment without even looking at the garment. In addition, a simple gesture to a garment is discreet and thus enables the user to trigger functionalities in a crowded setting without the need to take out their smartphone or other electronic device.


Apple’s ginormous share of industry profit expands, says Canaccord

Apple is capturing more and more, at 72% of total industry profits, up from 68% in the July quarter, while Samsung’s share dipped slightly to 24%. Looking ahead, Walkley thinks Apple’s share of all smartphone units shipped in 2018 will expand to 14.5% from an expected 13.3% this year, while Samsung’s share he thinks will dip to 19.1% from 20.2%. He expects Huawei and Xiaomi, two big privately held Chinese vendors, to both see share rise in 2018, at 11% and 6.4%, respectively. They won’t do as well, however, as Oppo and Vivo, two other Chinese competitors, who may capture 7.8% and 7.5% of the market next year, he opines.


Why Apple’s HomePod is three years behind Amazon’s Echo

The Echo is a truly standalone product at the center of an ecosystem. The cloud-based operating system has made it easy for developers to create thousands of skills or voice-activated apps. By contrast, the HomePod is essentially an extension of the iPhone, like an accessory. When someone asks the HomePod to open a third-party app, the request won’t go directly to the cloud, as with the Echo, but to an iPhone. As a result, developers can’t write apps for the HomePod. They must create tweaked versions of existing iPhone apps. What’s more, Apple has limited the kinds of apps to messaging, to-do lists and notes. If Alexa is the beating heart of the Echo, Siri is almost an afterthought.


Asia’s consumers snubbing global brands for these products

In Indonesia’s $1.3 billion instant-coffee market, the disparity is more pronounced. During that period, Javaprima gained about 12 percentage points for a 33 percent share, while Nestle lost 1.4 percentage points to 16 percent. Nestle declined to comment on the Indonesian market. Javaprima is capitalizing on local trends, such as demand by women and new coffee drinkers for a smooth and creamy brew, director Agus Susanto said.

Nestle’s revenue from Asia, Oceania and Africa fell 23 percent between 2012 and 2016 to 14.5 billion francs ($14.7 billion). To capture more Asian consumers, the company introduced ready-to-drink cold coffees in the region, opened branded cafes at Chinese universities and formulated a Cafe Viet lineup.

Pechoin, owned by closely held Shanghai Pehchaolin Daily Chemical Co., saw its market share jump fivefold between 2012 and 2016, according to Euromonitor. The parent company had revenue of about $1 billion in 2016. The newfound popularity came partly at the expense of the L’Oreal Paris label, which lost more than a fifth of its market share in the same period. Pechoin, founded in 1931, focuses on herbal products and claims to be one of China’s first cosmetics brands.

L’Oreal remains the No. 1 beauty group in China, and the nation’s increasing demand for luxury cosmetics bodes well for its premium positioning, the company said. Paris-based L’Oreal also has boosted efforts to tailor products for Asia. In 2014, it bought Magic, a Chinese brand known for skincare masks, a popular local beauty ritual. The company also introduced a liquid foundation that uses a cushion applicator popularized in South Korea, and it’s competing with Amorepacific Corp. for the Muslim cosmetics business in Southeast Asia.

A new kind of self-sustaining fishery could offset the worst impacts of animal farming

The Ocean Farm 1 – created by leading salmon farming company SalMar – is the first offshore fish farm capable of complete automation in feeding and monitoring fish. According to SalMar, the farm can mature up to 1.5M fish in just 14 months. If the experimental facility proves viable (and environmentally sound) it may compel more companies and governments to use offshore fish farms to help grow our global food supply.

But American seas are newly open for business: The National Oceanic and Atmospheric Administration announced a rule in 2016 that allows for large-scale fish farming in federally controlled waters three or more miles offshore. In Europe, the regulatory environment has been more friendly. The EU embraced policy changes recommending the shift of aquaculture offshore back in 2002; by 2008, offshore farms were operational in Norway, Ireland, Italy, Spain, and several other countries. Norway is arguably the aquaculture capital of the world: Fish farming helped Norway produce around 1.18M metric tons of salmon in 2016, and fish contribute $8B annually to Norway’s economy – accounting for about 8% of its exports.

Developing only 1% of Indonesia’s suitable ocean area could produce more than 24 million tonnes of fish per year or over 3.9 × 1011 individual 4 cm bivalves. If consumed entirely within Indonesia, this volume of additional fish production would increase seafood consumption per capita sixfold. In fact, there is already considerable activity working to expand Indonesian aquaculture.


Asia’s richest banker spots a once-in-a-lifetime opportunity

For India, it’s a $207 billion mess, a pile-up of bad loans years in the making that’s dragging on growth. For the nation’s wealthiest banker, it’s the kind of opportunity that very rarely presents itself. What has billionaire Uday Kotak salivating is the government’s attempt to finally draw a line under delinquent loans, with recent steps to overhaul India’s bankruptcy laws and recapitalize state-owned banks. The moves are intended to lift a burden from the country’s banks and encourage them to accelerate lending, supporting economic growth.

The sense among some Indian executives that they could walk away from their debts without facing consequences was a major factor limiting past efforts to bring delinquent loans in check. The government’s announcement last month that it will inject a record 2.1 trillion rupees into state-owned banks is another sea change, in that it should give the lenders sufficient capital to write off bad loans weighing down their balance sheets.


Billionaire Kotak says Indian banks need to cut costs: Q&A

Debt markets and other segments will put pressure on the bank loan markets because they are working at much narrower spreads between the investor and the issuer. This is going to be one of the biggest challenges at a time when non-bank sectors like mutual funds, insurance, debt capital market and so on are dis-intermediating on the one hand, and technology is commoditizing the lending business at the other.

First is the formalization of finance. For instance, you see a reduction in the cash economy as less money is going into land and real assets, especially in rural India. That money is going into the formal economy which is a mega change which we are seeing. The second trend which we are seeing is the broad-basing of financial services. As finance became broader, savers wanted to look at things in addition to or beyond bank deposits. So money is going into mutual funds, insurance and equities markets. The third is digital. It, combined with Aadhaar (India’s biometric identification program), is a very potent force. We are at about 1,360 branches now. In the past we would have thought we would need about 5,000 branches. But with the digital economy, Aadhaar and customer behavior changes, we believe we can do with less.


Traffic is piling up—and so are its costs

Last year, congestion cost each U.S. driver $1,400 on average, for a total of nearly $300 billion, according to Inrix’s latest annual scorecard. The cost reflects wasted fuel, decreased productivity and lost time, which might include longer delivery times or missed meetings. The biggest losers are the most congested cities.

“We find that 49% to 61% of ride-hailing trips would have not been made at all, or by walking, biking or transit,” the researchers reported.

First digital pill approved to worries about biomedical ‘big brother’

Experts estimate that so-called nonadherence or noncompliance to medication costs about $100 billion a year, much of it because patients get sicker and need additional treatment or hospitalization.

The technology could potentially be used to monitor whether post-surgical patients took too much opioid medication or clinical trial participants correctly took drugs being tested. Insurers might eventually give patients incentives to use them, like discounts on copayments, said Dr. Eric Topol, director of Scripps Translational Science Institute, adding that ethical issues could arise if the technology was “so much incentivized that it almost is like coercion.”

This ex-trucker has some questions about the Tesla Semi

This first version of the Semi will not replace the dozens of thousands of trucks on huge regional or coast-to-coast runs, clocking 2,000 to 5,000 miles per week.

I understand acceleration is a core Tesla brand value, but I’m far more interested in braking. An 80,000-pound tractor trailer needs about 550 feet to come to a complete stop from 55 miles per hour, and I spent a surprising portion of every driving shift trying not to obliterate car drivers who weren’t aware of that fact. Show me how much the Semi can lop off that braking distance.

Companies like Wal-Mart and JB Hunt that have placed orders for Tesla Semis have the routes, terminal control, and money for terminal infrastructure to make the most of the Semi, so we’ll see what the production unit looks like in 2019 (hopefully) and parse the feedback after 10,000 miles of road duty. Don’t be surprised to see more mirrors.


Can carbon-dioxide removal save the world?

Carbon-dioxide removal is, potentially, a trillion-dollar enterprise because it offers a way not just to slow the rise in CO2 but to reverse it. The process is sometimes referred to as “negative emissions”: instead of adding carbon to the air, it subtracts it. Carbon-removal plants could be built anywhere, or everywhere. Construct enough of them and, in theory at least, CO2 emissions could continue unabated and still we could avert calamity. Depending on how you look at things, the technology represents either the ultimate insurance policy or the ultimate moral hazard.

As a technology of last resort, carbon removal is, almost by its nature, paradoxical. It has become vital without necessarily being viable. It may be impossible to manage and it may also be impossible to manage without.

Building arks, rather than trying to predict The rain

“One thing I’ve come to as an investor, is recognizing that there are a lot of ways to make money in the market. There are a lot of investment approaches and philosophies that can do very well, but all of them test the investor in one way or another. Therefore, it’s important for you to figure out how to align your investment philosophy with your own personality – so that when the investment philosophy inevitably tests you, you’re the sort of person who will pass the particular types of tests required to successful manage your investment strategy.”


What is blockchain technology?

The blockchain is still in its nascent stages. However, blockchain technology promises to entirely reshape money, middlemen, and trust. Ultimately, blockchain is as much a political and economic hypothesis as a technological one. Blockchain technology provides a new way to think about how we agree on things. For the first time, multiple untrusted parties can create and agree on a single source of truth, without the use of a middleman. The technology’s implications for traditional middlemen and corporate players are therefore potentially enormous. As the landscape evolves, the future of blockchain will likely take on forms yet to be imagined.

It’s fructan, not gluten, that’s causing stomach problems, says new research

The scientists found that the participants only developed bloating symptoms after eating fructan-containing bars. Other bars, including those with gluten, did not cause the distress. This led the researchers to conclude that fructan, not gluten, may be behind the bowel problems. One big reason it’s important to figure this out – people who are on a gluten-free diet were found to have an increased risk of developing type 2 diabetes by other recent research.


To solve problems caused by sitting, learn to squat

In the past half century, epidemiologists have been forced to shift how they study movement patterns. In modern times, the sheer amount of sitting we do is a separate problem from the amount of exercise we get. Our failure to squat has biomechanical and physiological implications, but it also points to something bigger.

“Every joint in our body has synovial fluid in it. This is the oil in our body that provides nutrition to the cartilage,” Jam says. “Two things are required to produce that fluid: movement and compression. So if a joint doesn’t go through its full range—if the hips and knees never go past 90 degrees—the body says ‘I’m not being used’ and starts to degenerate and stops the production of synovial fluid.”

Curated Insights 2017.10.15

86-year-old billionaire iPhone chipmaker retires just as his industry heats up

“Since we established ourselves, fabless companies began to mushroom worldwide. Most of the innovations in the semiconductor industry in the last 30 years came from those fabless companies. That’s probably my biggest pride, to have caused a lot of innovations in the industry.”

Liu and Wei inherit a company that is about 30 times larger than local rival United Microelectronics Corp. and commands 59 percent of the $50 billion global foundry market.

Growing chipset demand from China spells another opportunity for TSMC: the country spent $227 billion importing integrated circuits in 2016, according to data from Chinese customs authorities, the fourth consecutive year that chip imports have exceeded $200 billion.


Nvidia, Intel, Marvell: Look how they’ve slimmed down! Says Stifel

“The end markets of semiconductors have changed dramatically over the past 10 years,” he observes, given how much automotive and industrial, two industries with longer product cycles, and therefore more predictable revenue, have taken from more volatile industries.

Another reason for rising valuations is simply scarcity: “In 2007 there were roughly 118 publicly traded semiconductor companies. Today there are roughly 55.”


Shopify S-1 analysis – Smiling all the way to $10B

How are they able to sustain more efficient growth as they scale? The first reason is Shopify has been able to grow their contract value by 14% annually. The average subscription payment by merchant has remained flat over the past four years. Instead of growing subscription revenue on a per customer basis, Shopify is capturing more share of GMV. The chart above shows the merchant services revenue generated per billion dollars of gross merchandise value by Shopify. You can see that figure has quite nearly doubled in four years. In other words, as Shopify merchants sell more, Shopify benefits Proportionately from the growth in GMV, but also at an increasing slope because they capture almost twice as much in fees as they have been historically.

Consequently, merchant services now account for greater than 50% of revenue up from just above 20% four years ago. The gross margin on the software business has remained 78% over the past four years, while merchant services gross margin has fallen from 50% to 30%. Overall gross margin has fallen from 80% to 54%. But that is an advantageous trade considering the massive revenue growth.

Citron exposes the dark side of Shopify the FTC will take notice

Out of the claimed 500,000 websites, Shopify has about 2,500 “Plus” clients and maybe another 20,000 “Advanced”. So where are the other 450,000 + websites?

The majority of Shopify’s customers are not SMB merchants; rather, they are people who are buying a system and Shopify goes as far as to supply them a theme and inventory.


Ikea puts Latin America, Southeast Asian markets in its sights

Ikea has more than 400 stores in 49 markets across Europe, North America, the Middle East, Asia and Australia.

According to Ikea’s plans, it will have opened its first store in South America within the next five years, which is the same timeframe it has set for its expansion into Vietnam and the Philippines. As South America is a new region, it’s likely to enter two or three markets there around the same time in order to secure supply and production, Loof said.

Ikea plans to add 22 new stores this year, up from 14 new stores in 2017. In the future, Ikea will probably open some 25 new stores annually, Loof said. Ikea’s website attracted 2.3 billion visitors last year, while its stores got 936 million visits.


Singapore home-sharing quietly grows despite the rules

Airbnb said its travelers to Singapore typically stay 4.1 nights compared with 3.6 for the average tourist, and three-quarters of listings are outside of traditional hotel districts, allowing tourism spending to accrue in areas that don’t usually host outside visitors.

In a February debate in Parliament, Louis Ng Kok Kwang, a lawmaker for the ruling People’s Action Party, urged the government to regulate rather than ban home-sharing services, noting that the approach so far is inconsistent with how Singapore treated car-sharing businesses, such as Uber Technologies Inc. and Grab.


How we’re solving the LIDAR problem

Strobe’s new chip-scale LIDAR technology will significantly enhance the capabilities of our self-driving cars. But perhaps more importantly, by collapsing the entire sensor down to a single chip, we’ll reduce the cost of each LIDAR on our self-driving cars by 99%.

Strobe’s LIDAR sensors provide both accurate distance and velocity information, which can be checked against similar information from a RADAR sensor for redundancy. RADARs typically also provide distance and velocity information and operate under more challenging weather conditions, but they lack the angular resolution needed to make certain critical maneuvers at speed. When used together, cameras, LIDARs, and RADARs can complement each other to create a robust and fault-tolerant sensing suite that operates in a wide range of environmental and lighting conditions.

 


India stock market could triple in a decade

” … The sectors poised to benefit the most are consumer-oriented and financials. Total online shoppers in India are set to skyrocket from 60 million to 475 million in 2027, while online retail as a percentage of total retail will grow even faster, from 2.2% today to 12.1% in a decade. Unsurprisingly, Amazon.com, China’s Alibaba Group Holding and South Africa’s Naspers have been aggressively investing billions of dollars in India. Morgan Stanley figures Softbank alone has invested some $46 billion in local e-commerce and on-line payments, ride-hailing, and real estate platforms.

As for the financials, Morgan Stanley sees total loans increasing 11 percentage points to 78% of GDP by 2027; total mutual fund assets under management jumping more than ten-fold over the same period; and collected life and general insurance premiums spiking, as well. Fin-tech companies should see exponential growth …”


Bitcoin’s academic pedigree

Nakamoto’s genius, then, wasn’t any of the individual components of bitcoin, but rather the intricate way in which they fit together to breathe life into the system. The timestamping and Byzantine agreement researchers didn’t hit upon the idea of incentivizing nodes to be honest, nor, until 2005, of using proof of work to do away with identities. Conversely, the authors of hashcash, b-money, and bit gold didn’t incorporate the idea of a consensus algorithm to prevent double spending. In bitcoin, a secure ledger is necessary to prevent double spending and thus ensure that the currency has value. A valuable currency is necessary to reward miners. In turn, strength of mining power is necessary to secure the ledger. Without it, an adversary could amass more than 50 percent of the global mining power and thereby be able to generate blocks faster than the rest of the network, double-spend transactions, and effectively rewrite history, overrunning the system. Thus, bitcoin is bootstrapped, with a circular dependence among these three components. Nakamoto’s challenge was not just the design, but also convincing the initial community of users and miners to take a leap together into the unknown—back when a pizza cost 10,000 bitcoins and the network’s mining power was less than a trillionth of what it is today.

The history described here offers rich (and complementary) lessons for practitioners and academics. Practitioners should be skeptical of claims of revolutionary technology. As shown here, most of the ideas in bitcoin that have generated excitement in the enterprise, such as distributed ledgers and Byzantine agreement, actually date back 20 years or more. Recognize that your problem may not require any breakthroughs—there may be long-forgotten solutions in research papers.

Academia seems to have the opposite problem, at least in this instance: a resistance to radical, extrinsic ideas. The bitcoin white paper, despite the pedigree of many of its ideas, was more novel than most academic research. Moreover, Nakamoto didn’t care for academic peer review and didn’t fully connect it to its history. As a result, academics essentially ignored bitcoin for several years. Many academic communities informally argued that Bitcoin couldn’t work, based on theoretical models or experiences with past systems, despite the fact that it was working in practice.

The lessons of Leonardo: How to be a creative genius

Be curious about everything. Leonardo’s most distinctive trait was his passionate, playful and occasionally obsessive curiosity. He made lists in his notebooks of hundreds of subjects, both marvelous and mundane, that he wanted to explore…Some of his curiosity involved phenomena so commonplace that we rarely pause to wonder about them. “Why is the fish in the water swifter than the bird in the air when it ought to be the contrary, since the water is heavier and thicker than the air?”

Observe attentively. His curiosity was aided by the sharpness of his eye, which focused on things that the rest of us barely notice. One night he saw lightning flash behind some buildings and for that instant they looked smaller, so he launched a series of experiments to verify that objects look smaller when surrounded by light.

The best reason to learn from Leonardo, however, is not to get a better job but to live a better life. Having immersed myself in his world for several years, I have resolved to be more observant of phenomena that I used to ignore.

Earnings Call Digest 2017.08

Apple (Q3 2017 Results) – Earnings Call Transcript

Services revenue hit an all-time quarterly record of $7.3 billion representing 22% growth over last year. We continue to see great performance all around the world with double digit growth in each of our geographic segments. Over the last 12 months, our services business has become the size of a Fortune 100 company, a milestone we’ve reached even sooner than we had expected.

Sales of Apple Watch were up more than 50% in the June quarter and it’s the number one selling smartwatch in the world by a very wide margin.

We’re also seeing incredible enthusiasm for AirPods with 98% customer satisfaction based on Creative Strategy’s survey. We had increased production capacity for AirPods and are working very hard to get them to customers as quickly as we can, but we are still not able to meet the strong level of demand.

We are very focused on autonomous systems from a core technology point of view. We do have a large project going and are making a big investment in this. From our point of view, autonomy is the mother of all AI projects. And the autonomous systems can be used in a variety of ways and a vehicle is only one.

The App Store was a major driver of this performance. And according to App Annie’s latest report, it continues to be by a wide margin the preferred destination for customer purchases, generating nearly twice the revenue of Google Play. Revenue from our Apple Music streaming service and from iCloud storage also grew very strongly. And across all of our Services offerings, the number of paid subscriptions reached over 185 million, an increase of almost 20 million in the last 90 days alone.


Square (Q2 2017 Results) – Earnings Call Transcript

One of the drivers of our results is our work on automation, which I mentioned is an area of increased focus for us this year. Automation has always been a core differentiator for us. We’ve used machine learning and data science to manage risk since the beginning of Square. We’re constantly looking for ways to make our services more automated and more self-serve and machine learning is perfect for that.

First, automation allows us to give more people access to the financial system. More than 90% of sellers are automatically approved and self-onboard to process payments, and we’re able to onboard individuals to Square Cash with just a zip code and an e-mail address or phone number. We’ve extended this approach to risk management in Square Capital to provide financing to the underserved.

Second, automation helps us scale as we grow. For example, we currently automate risk assessment for more than 99.95% of transactions. We’re also able to make improvements to our manual handling; our fraud models have already allowed us to resolve 40% more cases every week, compared to beginning of the year.

And third, automation allows us to help our sellers grow. You can see this in our unique suite of CRM tools. We leverage our deep understanding of the customer to build marketing and loyalty programs that are easy to use, measurable and effective. Our loyalty programs are tracked and managed by Square point-of-sale and our technology automatically recommends programs optimized for the seller’s particular business.

Subscription and services-based revenue nearly doubled on a year-over-year basis as Instant Deposits, Caviar and Square Capital all benefited from stronger adoption, both within our installed-based and for bringing new customers to the Square ecosystem.


Tesla (Q2 2017 Results) – Earnings Call Transcript

What we have ahead of us, of course, is an incredibly difficult production ramp. Nonetheless, I think we’ve got a great team, and I’m very confident that we will be able to reach a production rate of 10,000 vehicles per week towards the end of next year. And we remain – we believe on track to achieve a 5,000 unit week by the end of this year.

So, if you can sort of see where we came from, the Roadster – we were making only 600 units a week where the non-powertrain portion of the car was made by Lotus. And we did the powertrain and final assembly of the car, and then we went from that to 20,000 units a year of the Model S, a far more complex car, where we did the whole thing. And then with Model 3, we are more vertically integrated. I think people should really not have any concerns that we will reach that outcome from a production rate.

…We’re also thinking hard about, where do we put Gigafactorys three, four, five and six? We expect to keep the majority of our production in the U.S., but it’s, obviously, going to make sense to establish a Gigafactory in China and Europe to serve the markets there, because it’s not to build cars in California and truck them halfway around the world, particularly when you’re trying to make things as affordable as possible – that really hurts. We really want to make our cars as affordable as possible. And so that does require some amount of local market production, particularly for the mass market vehicles in order to make it as accessible as possible.

Model Y, or our compact SUV – it’s called Model Y. It may or may not be – would be a totally new architecture. Upon the council of my executive team – thank you. Thanks, guys – who reeled me back from the cliffs of insanity – much appreciated – the Model Y will in fact be using a substantial carryover from Model 3 in order to bring its market faster. Yes. So that will really accelerate our ability to get to Model Y to market faster, because fundamentally people prefer a sedan, people prefer an SUV. And in fact, the SUV market is larger. It’s the biggest single product I believe in the world.


Tableau Software (Q2 2017 Results) – Earnings Call Transcript

With subscription, our customers get the full power and simplicity of Tableau but with lower risk and a lower initial investment. And the move to subscription also creates recurring revenue streams, generates more predictable results over the long-term and expands the overall market.

For example, this quarter TransUnion, a credit reporting and global risk information provider that serves over 45,000 companies and more than 500 million customers, standardized their analytics on Tableau across multiple areas from credit reporting to health care and auto lending, amongst many others. By signing a subscription agreement, TransUnion will be able to flexibly scale their deployment as they grow and build out their analytic solutions…We continue to believe that subscription is the right long-term decision for all of our stakeholders and will only help us to sharpen our commitment to our customers on a daily basis.

Our passionate customer base is not just a U.S. phenomenon; it’s global. And it’s been incredible to see our community thrive around the world, across various user groups, training groups and conferences. For example, in the UK, Jet2.com, a leading British leisure airline and package holiday specialist, recently chose Tableau to visualize complex data that was difficult to analyze and access within Excel. With Tableau, Jet2 is now able to better analyze a range of data to attain faster speed to insight.

And in APAC, Mercedes-Benz expanded their self-service analytics capabilities with Tableau in their China Financial Services Group. Now the company, including the most senior management has real-time visibility on the organization’s auto financing, leasing and insurance performance and now makes daily strategic business decisions from a single source of truth through Tableau.

Turning now to customer momentum in the cloud, we’re seeing strong demand from customers who want to be able to run their analytics in the cloud. And with Tableau, customers can deploy on their choice of cloud, whether it be AWS, Azure or Google or a fully managed SaaS solution via Tableau Online. That flexibility and choice has already attracted thousands of customers running on Tableau Online and thousands more running Tableau on the public cloud. In fact, over one-third of our Tableau server trials today are deployed in the public cloud.

Turning now to product, I want to focus on two important areas: giving our customers choice with how they connect to their data and enriching our smart analytics offering via machine learning recommendations. Tableau now has over 65 native data connectors from on-premises databases like Oracle and SAP, Hadoop systems like Cloudera and Hortonworks, and cloud databases like Amazon Redshift and Google BigQuery.


IAC/InterActiveCorp (Q2 2017 Results) – Earnings Call Transcript

…it is a very – the SVOD market is very crowded and cost were skyrocketing.

In terms of new M&A, the thing that worked well for us are this concept of product – the scale improved the product, not just the price. That is the way – the way we think about network businesses or marketplace businesses and that’s what we’re looking for.

…there is again a natural tailwind today are in terms of the online migration, in terms of video being more relevant in a lot more places than it used to be, to a lot of businesses than it used to be, to lot more individuals than it used to be.


Activision Blizzard (Q2 2017 Results) – Earnings Call Transcript

We invest in creative and commercial excellence in order to expand reach, deepen engagement and provide more opportunity for player investment which then allows for reinvestment in creative and commercial excellence and for the growth cycle to continue.

Let’s start with audience reach, which was 407 million monthly active users this quarter. Blizzard did not have any new full game releases this quarter, yet a strong stream of content updates across Blizzard franchises drove an all-time MAU record of 46 million, up 38% from last year and up 12% from the last quarter. Blizzard’s community has now more than doubled in MAUs since early 2015, underscoring the ability to grow audience reach across the portfolio of platforms, regions, genres and business models.

As illustrated by the frequency with which players reengage each month, it remains at an all-time high. To put this in perspective, the time spent per player per day inside King franchises is 35 minutes, higher than that of Instagram or Snapchat.


Workiva (Q2 2017 Results) – Earnings Call Transcript

A large regional bank is using Wdesk for its call reports which are quarterly filings required by the FDIC. A large sporting-goods company is now using Wdesk for corporate performance management. The company will use Wdesk to consolidate spreadsheets into a linked workbook, thereby reducing manual data entry. The treasury department of a private electrical products manufacturer is using Wdesk for debt compliance reporting.

We remain focused on our leadership in the SEC compliance market. We continue to add new customers at both large and small public companies, because we believe that Wdesk is widely regarded as the best practice for SEC reporting and XBRL. In the first quarter of 2017, Wdesk was used to file 53% of all XBRL facts with the SEC. So as you can see, we have room to grow in this market. Customer press releases this quarter reported that a multinational agri business is achieving an ROI of 266% and reaping more than $677,000 in total savings and benefits over 3 years by using Wdesk to streamline its management reporting.

We finished Q2 with 2908 customers, a net increase of 286 customers from Q2 2016 and a net increase of 83 customers from Q1 2017. Our subscription and support revenue retention rate, excluding add-ons, was 96.1% for the month of June 2017 compared with 95.1% in both March 2017 and June 2016. Customers being acquired or ceasing to file SEC reports accounted for a majority of revenue attrition, consistent with our experience to date. With add-ons, our subscription and support revenue retention rate was 106% for the month of June 2017 compared with 106.6% in March 2017 and 110.2% in June 2016. Increased subscription revenue on non-SEC use cases from existing customers continues to be the primary driver of our add-on revenue retention rate.


Etsy (Q2 2017 Results) – Earnings Call Transcript

There has been much speculation about the size of the market for handmade. But handmade is not a purchase occasion nor is it representative of all of our 45 million listings. Etsy is about so much more than handmade. Buyers come to us when they want something special. And being the destination for something special is powerful because special can’t be commoditized.

But how big is the market for special? We believe the market for special is huge. Etsy shines specifically in three types of purchase occasions. Celebrations, gifting and style. If you think about it, these types of occasions happen regularly throughout the year. These occasions drive purchases across six primary categories, clothing and accessories, home and living, jewelry, craft supplies, art and collectibles, and paper and party supplies. Not surprisingly, these are also Etsy’s top six categories based on GMS.

First, we are building trust and reliability throughout the buyer experience. Trust is essential for any marketplace but is even more so for one that’s both on original and unbranded goods. Our goal is to bolster trust not just in the item and the seller, but in the Etsy brand.


NVIDIA (Q2 2018 Results) – Earnings Call Transcript

Data center is a very large market, as you know, and the reason for that is because the vast majority of the world’s future computing will be largely done in data centers. And there’s a very well accepted notion now that GPU acceleration of servers delivers extraordinary value proposition. If you have a data-intensive application, and the vast majority of the future applications in data centers will be data intensive, a GPU could reduce the number of servers you require or increase the amount of throughput pretty substantially. Just adding one GPU to a server could reduce several hundred thousand dollars of reduction in number of servers. And so the value proposition and the cost savings of using GPUs is quite extraordinary.

Cryptocurrency and blockchain is here to stay. The market need for it is going to grow, and over time it will become quite large. It is very clear that new currencies will come to market, and it’s very clear that the GPU is just fantastic at cryptography. And as these new algorithms are being developed, the GPU is really quite ideal for it. And so this is a market that is not likely to go away anytime soon, and the only thing that we can probably expect is that there will be more currencies to come. It will come in a whole lot of different nations. It will emerge from time to time, and the GPU is really quite great for it.

Volta was a giant leap. It’s got 120 teraflops. Another way to think about that is eight of them in one node is essentially one petaflops, which puts it among the top 20 fastest supercomputers on the planet. And the entire world’s top 500 supercomputers are only 700 petaflops. And with eight Voltas in one box, we’re doing artificial intelligence that represents one of them. So Volta is just a gigantic leap for deep learning and it’s such a gigantic leap for processing that – and we announced it at GTC, if you recall, which is practically right at the beginning of the quarter.

A neural net in terms of complexity is approximately – not quite, but approximately doubling every year. And this is one of the exciting things about artificial intelligence. In no time in my history of looking at computers in the last 35 years have we ever seen a double exponential where the GPU computing model, our GPUs are essentially increasing in performance by approximately three times each year. In order to be 100 times in just four years, we have to increase overall system performance by a factor of three, by over a factor of three every year.

And yet on the other hand, on top of it, the neural network architecture and the algorithms that are being developed are improving in accuracy by about twice each year. And so object recognition accuracy is improving by twice each year, or the error rate is decreasing by half each year. And speech recognition is improving by a factor of two each year. And so you’ve got these two exponentials that are happening, and it’s pretty exciting. That’s one of the reasons why AI is moving so fast.

The second major component is our self-driving car platforms, and a lot of it still is infotainment systems. Our infotainment system is going to evolve into an AI cockpit product line. We initially started with autonomous driving. But you probably heard me say at GTC that our future infotainment systems will basically turn your cockpit or turn your car into an AI. So your whole car will become an AI. It will talk to you. It will know where you are. It knows who’s in the cabin. And if there are potential things to be concerned about around the car, it might even just tell you in natural language. And so the entire car will become an AI.

The next revolution of AI will be at the edge, and the most visible impactful evidence will be the autonomous vehicle. Our strategy is to build a ground-up deep learning platform for self-driving cars, and that has put us in pole position to lead the charge.


The Walt Disney (Q3 2017 Results) – Earnings Call Transcript

It’s been clear to us for a while with the future of this industry will be forged by direct relationships between content creators and consumers. Given our incomparable collection of strong brands that are recognized and respected the world over, no one is better positioned to lead the industry into this dynamic new era, and we’re accelerating our strategy to be at the forefront of this transformation.

With this strategic shift, we’ll end our distribution agreement with Netflix for subscription streaming of new releases beginning with the 2019 calendar-year theatrical slate. These announcements marked the beginning of what will be an entirely new growth strategy for the company, one that takes advantage of the opportunities the changing media and technology industries provide us to leverage the strength of our great brands.

But we’ve already begun the development process at the Disney Channel and at the Studio to create original TV series and original movies for this service. So if the Studio makes, let’s call it, roughly 10 films a year or distributes 10 films a year – that includes Marvel and Pixar and Star Wars and Disney-branded and Disney Animation. We’ve commissioned them to make, to produce more films with the incremental films being produced very, very specifically and very exclusively for this service. So this will represent a larger investment in Disney-branded intellectual property, both TV and movies.

I think there are forces, whether they’re technological in nature or sociological or economic in nature, out there that are changing the way media is consumed in general, and I don’t think this is either going to hasten them or exacerbate things in any way. What it does do, though, is a couple of things. First of all, it gives us the ability to leverage the strength of our brands, which a lot of our peers and competitors do not have. Secondly, it gives us what we’d call optionality. It’s a word I’ve not used very much in my life, but it gives us the flexibility, really, to move our product to the consumer in many new ways, ways that we’ve not been able to do before, because of just how strong this platform is that we bought control of.


TripAdvisor (Q2 2017 Results) – Earnings Call Transcript

We have large app penetration and a great ability to offer attractions to our users, so marketing efficiency, but then just operational efficiency as well. So initially, a lot of manpower going into both site development as well as supply expansion and we’re now reaping some of the leverage benefits from that going forward. So you are right, we are managing the business not for profitability. We’re managing it for growth. There’s just tremendous opportunity in terms of the TAM of this – particularly the attractions market space. We feel we have an early lead and we continue to invest aggressively to capitalize on that advantage. So, we’re not seeking margin expansion, and going forward, we will continue to emphasize revenue growth. But the way the business has evolved has allowed us to see some margin expansion this year.

In terms of the monetization, there’s likely to be always a delta between monetization on desktop and on the phone. It is just more plausible that you book a larger trip, a multi-day, multi-destination trip on your desktop in the comfort, obviously, on your big screen and more detailed photos and skew the more immediate purchases to the phone.

As we are working on our conversion improvements, they’re all aligned with matching our advertising campaign and matching our value proposition that delivering to travelers of helping them save money on this trip. We’re so well known for reviews, which is wonderful, incredible differentiator. It’s hard to imagine anyone could ever make a serious inroad to us in terms of being a competitor in that space. But as we move the product, the display, the visibility and the impression of TripAdvisor on the part of our travelers, to view us as that review site, that review site that actually saved me a ton of money because it offered me a great value hotel that I wouldn’t have otherwise find with a better price or it helped me find the best place to actually reserve a room at this hotel that I want to go at, and that’s kind of a new piece and so part of the site redesign was clarity. Part of the site redesign was easier shopping experience, but one of the things that we love the most from our testing that we’ve achieved in this redesign is that we are educating our users, our travelers that we’re helping to save them money, that we’re finding them great prices. And we see that come through in our surveys, we see that come through in those anecdotes in the stories, and that matches, of course, the big message in our brand campaigns.


MakeMyTrip (Q1 2018 Results) – Earnings Call Transcript

The latest estimates from IAMAI, the Internet and Mobile Association of India, indicates that India now has roughly 420 million mobile Internet users and this base is expected to keep growing rapidly.

Large opportunities for new user growth will likely come from the non-urban parts of the country where penetration levels are estimated at 16%. Affordable smartphones and data plans are easily available via the recent disruptive offers from the telecom players led by Reliance Jio.

Additionally, a significant government initiative which can facilitate online penetration is the unified payments interface app called BHIM, which creates a common nationwide payments platform for simple and quick transfer of money.

Indian carriers collectively have already placed more than 1,300 new orders, with 250 planes expected to be put into service over the next two to three years. Furthermore, demand for air travel is expected to increase with the launch of the government’s regional air connectivity program called Udan by operationalizing up to 100 regional airports out of a total 400 unserved or underserved domestic regional airports by fiscal year 2019.


DISH Network (Q2 2017 Results) – Earnings Call Transcript

I think each carriers offer a little bit different strategy today. I mean, obviously AT&T is getting more heavily into the content side of the business. Verizon’s got more of a small cell strategy and T-Mobile is just taking away a lot of the pain points that are out there. So each have strategies that those guys are a lot more knowledgeable about the wireless business than I am, so each of the – there’s no reason that each of those strategies can’t work.

So, all those things are going to happen. The only thing I know for sure is that if you’re born today in the United States, you’re probably not going to have one second of your life you’re not connected. And you’re going to use a lot of data during your lifetime. And there’s going to be – and that’s just people. And every microprocessor and every light and every other thing is going to have a sensor that’s going to be connected. And that’s just – it’s going to make us more productive. And it’s going to save companies money. And so there’s going to be very large companies coming out of the connectivity business on a big scale, and we hope to play a part in that.

You can’t have all the profits going to three or four companies and have the guys that are – the companies that are providing them the raw material to make that money, not get wake up one day and get a little smarter. That’d be my guess, but I don’t know if that’s going to happen. But at some point, all the money going one direction, a lot of people are enabling that. They’re going to wake up and say maybe they should get – I’ve been through this business long enough to know that the money ebbs and flows between distribution and content. It’s probably going to continue to do that today. And a lot of the content companies, probably the distribution guys, probably are going to be in position to get a more of it. Then it may go the other direction.

The average smartphone probably consumes, I don’t know, 5 gigs a month. Use cases that are being discussed around 5G that will start to materialize in the early 2020s, they’re going to dwarf that in terms of the amount of data consumed whether that be drone network or autonomous vehicles or healthcare or massive connectivity. So to look at the marketplace in terms of today’s four big competitors and the new entrants, I think you have to really think about how the market will get redefined in the next five years to seven years to ten years.


The Home Depot (Q2 2017 Results) – Earnings Call Transcript

We’ve had obviously a protracted recovery here, and it has been clearly driven from housing which has been a steady but slow recovery in the market. You know we continually look at months of supply, there is 4.3 months of supply in the market of housing availability against a historical norm of six, that clearly is helping to drive improvement in home value appreciation, but housing starts haven’t returned to their norm yet either. The only thing that’s kind of run on an historical averages is housing turnover. So, we see this housing favorability continuing as we look forward. And I think the watch out for us is, you wouldn’t want to see affordability become an issue, but that at this point doesn’t seem to be a concern for us at all.

Right. As we look at the affordability index, it stands at 153%, so long ways to go before that would be a watch out for us. And recovery is a difficult thing to put your arms around. But if you look at simply PFRI dollars they’ve only recovered 70% of the loss. The other thing that’s really interesting to us is the age of the housing stock. We’ve talked to you a lot about 66% of the housing stock being older than 30 years. Did you know that 51% of the house stock is older than 40 years and as houses age, well, they need more of repair.


TJX Companies (Q2 2018 Results) – Earnings Call Transcript

Our key pillars for growth remain driving comp sales and customer traffic and our global store expansion. Our consistently strong performance tells us that our strategies to drive customer traffic and comp sales are working. Further, we see enormous global store growth potential for TJX. We have plenty of white space or markets to fill in throughout our current countries. Long-term, we see the opportunity to open 5,600 stores with just our current banners and that’s about 1,700 more stores than we have today. We continue to see store openings as an attractive investment and a very good use of capital. We are convinced that these growth drivers will allow us to continue to capture additional market share both in the U.S. and internationally.

We see our treasure hunt shopping experience as an advantage. As today shopper spends more on personal experiences, particularly millennials they constructed dollars further in our stores in both our apparel and non-apparel categories. We are very pleased that across our major divisions we continue to capture a broad age demographic with new shoppers skewing towards younger customers. We see this as a great indicator for our future.

In closing I would like to emphasize that the key advantages that I have discussed today are all built on our 40 years plus of experience in building, developing and refining our off-price retail model. While we were trying to keep our business simple and focused, the ability to operate and highly integrate international – to operate a highly integrated international off-price retail business doesn’t happen overnight and we believe would be extremely difficult to replicate. We have decades of experience to build international teams and infrastructures that we see as key advantages. We believe our buying organization of more than 1,000 associates is best-in-class. We have great longevity among our buyers which we attribute to our very strong corporate culture. Our worldwide vendor universe also took us decades to build. We see ourselves as a global sourcing machine. Our processes, systems and logistics are all built to support our off-price opportunistic buying. Further, we have been operating internationally for well over two decades and are the only major international off-price apparel and home fashions retailer.


Tencent Holdings (Q2 2017 Results) – Earnings Call Transcript

We have been investing heavily in AI but relatively quietly, as we view AI as an essential capability that enhances user experience and empowers us to capture the new exciting opportunities to grow our businesses for the future. We’re confident that our existing strength in computing power, data, engineering, technologies as well as use cases coupled with our proactive build-up of AI content — talent will give us a favorable position in this strategic initiative. Especially a wide and diversified business scope creates a variety of use cases for AI research and application across a range of AI fundamental research areas, such as machine learning, computer vision, speech recognition and natural language processing. We will be persistent but patient with our AI investment, because we believe it is a long-term initiative, and we do not necessarily require a research to generate revenue directly in the short-term. On the other hand, AI will significantly benefit all of our existing products, services and businesses in many ways.

There is a lot of usage, more and more people are watching online video at longer and longer time, on a daily basis. But at the same time — and at the same time, advertising revenue has been increasing, and there is also an increasing willingness from consumers to pay. So, the subscription number as well as revenue has been increasing quite rapidly. On the other hand, the flip side of this is the cost of content has been increasing, even faster. So, what we see is that over time, we believe the content will continue to increase, but the rates would probably be lower. And the subscription, as we continue to increase, would deliver higher revenue per active user. So, we will get closer to a more equilibrium between cost and revenue at some point in time. But I think unfortunately at this point in time, the net loss of the business is still increasing.

It’s a little bit tough to make advertising revenue from that because we usually — these video are relatively short; and depending on how aggressive you are in terms of balancing user experience and monetization, I think if you really care about user experience and the trends of putting advertising on these short videos are more limited.

In terms of the advertising, I think most of the growth has actually been from the click-through rates as well as the improvement in targeting technology. As a result, the pricing achieved has been higher. There is some help from the other two factors, which is slight increase in terms of the inventory and an increase in terms of the general traffic. But, I think from the inventory angle, we have achieved a second ad for some cities, but within a 24-hour period, not everybody is seeing two ads. So, compared to our international peers, I think the amount of inventory is relatively small. And at the same time, the traffic increase has been most significant around Moments. Then, if you look at our performance ads, it’s across pretty large number of different properties. So, the traffic growth in the other areas might not be as great as the Moments traffic increase.

At this point, my guess is that the big advertisers have a certain budget for television and then for online video and then they have a separate budget for social and a separate budget for search and so forth. And then, the migration between those buckets happens relatively slowly, typically at the beginning of each year rather than happening on a month-by-month basis.

In terms of providing AI-as-a-service, I think this is definitely a one direction that we are going into in our cloud business already and we are seeing a lot of demand on that. And we have been able to sign up a lot of customers because of our ability to offer them AI capability. And that’s just the beginning. Over time, I think we will do much more on that.

In terms of games and targeting, if you look at games playing globally, particularly on the personal computer, it’s moved from being media driven to being increasingly community driven. 20 years ago, people discovered new games on the PC in the U.S. and Europe through computer magazines; now, they’re discovering them through reddit, through Twitch, through those kinds of more communal venues. And some of the same trends are underway in China. And what we’re trying to do is working with the game developers to make sure that we target their games to the users who are likely to be most receptive.


Alibaba Group (Q1 2018 Results) – Earnings Call Transcript

The macro way of looking at the landscape is e-commerce accounts for 15% of total retail in China. The retail segment in China is about $5 trillion economy in value. 15% of e-commerce still leads, 85% of retail that is offline.

In this new world of consumption expectations, the distinction between online and offline would disappear.

Mobile Taobao is the Chinese consumers’ leading destination for online shopping and the total MAU for mobile apps with access to our China retail marketplaces has grown to 529 million. No other commerce app in the world compares to mobile Taobao’s consumer engagement and user stickiness. Our user stickiness measured by the DAU divided by MAU ratio continues to remain above 40% due to our relentless focus on more content and community-driven engagement on the approximately, allowing consumers to enjoy the fun of discovery and exploration. We not only satisfy existing user needs but more importantly we’re able to stimulate new demand as user experiences have become more content-driven by community of consumption-related content generators, such as influencers and key opinion leaders have emerged alongside buyers and sellers in the ecosystem.

What unifies the businesses in the Alibaba economy is our mission, to make it easy to do business anywhere. We believe the path to value creation becomes extremely clear when we focus on a single mission. In the next 5, 10, 15 years, you will see an unfolding of how we execute the new retail strategy as it becomes an integral part of the Alibaba economy. Shareholder value will follow when we create value for our customers. So, understanding this is important to understanding a long view of Alibaba.

Our cloud computing business continues to enjoy high growth at scale with annualized revenue growth well exceeding $1 billion, while paying customers surpassed 1 million. An important milestone in a landscape where every industry is seeking to migrate to the cloud, we believe 1 million is merely a starting point.

Regarding 30-minute delivery, as an example of where new retail can be very disruptive to existing ecommerce. Consumer demand is generated from an in-store experience and then that consumer says, well, I am going to a movie, so I don’t want to a carry bag with me, so I am going to have it delivered to my home within a very short period of time. That’s where logistics — your traditional e-commerce logistics infrastructure can be disruptive because you’ll need to fulfill out of that retail location as opposed to out of a warehouse that is not even in the city center. So, the expectation becomes 30 minutes and not overnight or 24 hours. So, that’s going to be very, very disruptive to existing infrastructure and investments that have been made.