It’s a balmy 80 degrees on a mid-December day in Singapore, and something is puzzling Allen Day, a 41-year-old data scientist. Using the tools he has developed at Google, he can see a mysterious concerted usage of artificial intelligence on the blockchain for Ethereum.
Ether is the world’s third-largest cryptocurrency (after bitcoin and XRP), and it still sports a market cap of some $11 billion despite losing 83% of its value in 2018. Peering into its blockchain—the distributed database of transactions underpinning the cryptocurrency—Day detects a “whole bunch” of “autonomous agents” moving funds around “in an automated fashion.”
While he doesn’t yet know who has created the AI, he suspects they could be the agents of cryptocurrency exchanges trading among themselves in order to artificially inflate ether’s price.
“It’s not really just single agents doing things on their own,” Day says from Google’s Asia-Pacific headquarters. “They’re forming with other agents to have some larger group effect.”
Day’s official title is senior developer advocate for Google Cloud, but he describes his role as “customer zero” for the company’s cloud computing efforts.
As such it’s his job to anticipate demand before a product even exists, and he thinks making the blockchain more accessible is the next big thing.
Just as Google enabled (and ultimately profited) from making the internet more usable 20 years ago, its next billions may come from shining a bright light on blockchains. If Day is successful, the world will know whether blockchain’s real usage is living up to its hype.
Danish researcher Thomas Silkjaer is using Google’s BigQuery to map publicly available information about XRP cryptocurrency addresses. The craters represent some of cryptocurrency’s largest exchanges.
Last year Day and a small team of open-source developers quietly began loading data for the entire Bitcoin and Ethereum blockchains into Google’s big-data analytics platform, BigQuery. Then, with the help of lead developer Evgeny Medvedev, he created a suite of sophisticated software to search the data.
In spite of a total lack of publicity, word of the project spread quickly among crypto-minded coders. In the past year, more than 500 projects were created using the new tools, trying to do everything from predicting the price of bitcoin to analyzing wealth disparity among ether holders.
When it comes to cloud computing, Google is far behind Amazon and Microsoft. Last year Google pocketed an estimated $3 billion in revenue from cloud services. Amazon and Microsoft, meanwhile, generated about $27 billion and $10 billion, respectively.
Day is hoping that his project, known as Blockchain ETL (extract, transform, load), will help even the playing field. But even here Google is trying to catch up. Amazon entered blockchain in a big way in 2018 with a suite of tools for building and managing distributed ledgers.
Microsoft got into the space in 2015, when it released tools for Ethereum’s blockchain. It now hosts a range of services as part of its Azure Blockchain Workbench. But while Amazon and Microsoft are focusing on making it easier to build blockchain apps, Day is focusing on exposing how blockchains are actually being used, and by whom.
“In the future, moving more economic activity on chain won’t just require a consensus level of trust,” says Day, referring to the core validating mechanism of blockchain technology.
“It will require having some trust in knowing about who it is you’re actually interacting with.” In other words, if blockchain is to go mainstream, some of its beloved anonymity features will have to be abandoned.
A native of Placer County, California, Day got his first computer at the age of 5 and a few years later started writing simple programs. A fascination with volcanoes and dinosaurs turned his interest to life sciences, and he ultimately graduated from the University of Oregon with a dual degree in biology and Mandarin in 2000. From there he headed to UCLA to pursue a doctorate in human genetics and helped build a computer program to browse the genome.
This Silkjaer image uses data for the XRP cryptocurrency to show the movement of funds across the entire ledger of transactions, culminating in a snapshot of funds in an actual user’s wallet.
It was at UCLA where Day began relying on distributed computing, a concept that is core to blockchains, which store their data on a large network of individual computers. In the early 2000s Day needed to analyze the massive amounts of data that make up the human genome. To solve this problem he hooked many small computers together, vastly increasing their power.
“Distributed-systems technology has been in my tool kit for a while,” Day says.
“I could see there were interesting characteristics of blockchains that could run a global supercomputer.”
Hired in 2016 to work in the health and bioinformatics areas of Google, Day segued to blockchains, the hottest distributed-computing effort on the planet. But the talents he had honed—sequencing genomes for infectious diseases in real time and using AI to increase rice yields—were not easily applied to decoding blockchain.
Before Day and Medvedev released their tools, just searching a blockchain required specialized software called “block explorers,” which let users hunt only for specific transactions, each labeled with a unique tangle of 26-plus alphanumeric characters. Google’s Blockchain ETL, by contrast, lets users make more generalized searches of entire ecosystems of transactions.
To demonstrate how customers could use Blockchain ETL to make improvements to the crypto economy, Day has used his tools to examine the so-called hard fork, or an irrevocable split in a blockchain database, that created a new cryptocurrency—bitcoin cash—from bitcoin in the summer of 2017.
This particular split was the result of a Hatfield and McCoy “war” within the bitcoin community between a group who wanted to leave bitcoin as it was and another who wanted to develop a currency that, like cash, was cheaper and faster to use for small payments.
Using Google’s BigQuery, Day discovered that bitcoin cash, rather than increasing so-called micro-transactions, as the defecting developers claimed, was actually being hoarded among big holders of bitcoin cash.
“I’m very interested to quantify what’s happening so that we can see where the legitimate use cases are for blockchain,” Day says. “Then we can move to the next use case and develop out what these technologies are really appropriate for.”
Day’s work is inspiring others. Tomasz Kolinko is a Warsaw-based programmer and the creator of a service that analyzes smart contracts, a feature of certain blockchains that is designed to transparently enforce contractual obligations like collateralized loans but with less reliance on third parties, like lawyers. Kolinko was frustrated with his blockchain queries.
In December, Kolinko met Day at a hackathon in Singapore. Within a month of the meeting, Kolinko was using Google’s tools to search for a smart contract feature called a “selfdestruct,” designed to limit a contract’s life span. Using his own software in conjunction with Day’s, Kolinko took 23 seconds to search 1.2 million smart contracts—something that would have taken hours before.
The result: Almost 700 of them had left open a selfdestruct feature that would let anyone instantly kill the smart contract, whether that person was authorized or not. “In the past you couldn’t just easily check all the contracts that were using it,” Kolinko says. “This tool is both the most scary and most inspiring I’ve ever built.”
Day is now expanding beyond bitcoin and ethereum. Litecoin, zcash, dash, bitcoin cash, ethereum classic and dogecoin are being added to BigQuery. Independent developers are loading their own crypto data sets on Google.
Last August, a Dutch developer named Wietse Wind uploaded the entire 400 gigabytes of transaction data from Ripple’s XRP blockchain, another popular cryptocurrency, into BigQuery.
Wind’s data, which he updates every 15 minutes, prompted a Danish designer named Thomas Silkjaer to create a heat map of crypto flows. The resulting colorful orb reveals at a glance more than a million crypto wallets, including big exchanges like Binance and London’s crypto debit card startup Wirex, which are neck deep in XRP transactions.
“Google has been a bit of a sleeping giant in blockchain,” says BlockApps CEO Kieren James-Lubin, who is partnering with Google to sell enterprise blockchain apps.
In addition to Day’s work, Google has filed numerous patents related to the blockchain, including one in 2018 to use a “lattice” of interoperating blockchains to increase security, a big deal in a world where untold millions of crypto have been stolen by hackers.
The company is also pushing its developers to build apps on the Ethereum blockchain, and Google’s venture arm, GV, has made a number of significant investments in crypto startups.
The giant, it seems, is waking up.
-Michael del Castillo; Forbes Staff
Gene Hackers: The Young Biotech Entrepreneurs Looking To Make Billions By Editing Life Itself
hen Rachel Haurwitz started her biology Ph.D. at the University of California, Berkeley, the award-winning biochemist Jennifer Doudna suggested Haurwitz investigate part of a bacterial immune system. She studied how microbes store genetic mementos of attacking viruses and recognize them to fight off future assaults. “It was an esoteric project,” Haurwitz says.
It’s esoteric no more. This system, called Crispr, has become one of the hottest technologies in biology, with the potential to give scientists control of the building blocks of life and give investors rich rewards. Crispr had no obvious relevance to human health when it was first described in 1987, but Doudna, who won the Breakthrough Prize in Life Sciences for her Crispr work, and other pioneers have discovered ways to turn it into a gene-editing tool. Haurwitz and Doudna helped found Caribou Biosciences in 2011 to get in on the action. Haurwitz, still in her 20s, became CEO the next year.
Haurwitz is not the only young entrepreneur who sees opportunity in gene editing. Doudna cofounded Mammoth Biosciences with some of her other doctoral students and two Stanford Ph.D.s. Trevor Martin, the company’s 30-year-old CEO, has raised $23 million from such investors as Apple CEO Tim Cook. In 2015, in Cambridge, Massachusetts, 29-year-old Luhan Yang founded eGenesis with her mentor, Harvard geneticist George Church, to use Crispr to help transplant pig organs into people. Omar Abudayyeh and Jonathan Gootenberg, also in their 20s, cofounded Sherlock Biosciences with another Crispr pioneer, 37-year-old Feng Zhang of the Broad Institute of MIT and Harvard.
“They may be young, but in both cases these are people at the top of their game scientifically,” Doudna says of her cofounders. “They’re fearless in all the right ways and very aware of the ethical challenges.”
Given that no one had built a Crispr company until a few years ago, “there’s maybe more of an opportunity for people with nontraditional backgrounds,” Haurwitz says.
Crispr is an acronym for “clustered regularly interspaced short palindromic repeats.” It refers to the way bacteria store, in their genomes, snippets of viral DNA, like mug shots. Those markers are used to identify invaders that return, much as a human immune system uses telltale elements of a polio virus remembered from a vaccine.
If an invading virus matches a stored mug shot, enzymes associated with Crispr break the virus’ lethal DNA into harmless pieces. Doudna and others figured out how to use those enzymes to snip DNA at precise points in order to insert or modify genes. Thus does Crispr promise to make the expensive and buggy process of rewriting DNA easier, opening up new ways to treat diseases caused by genetic mutations, create cheaper diagnostic tests and engineer cells that kill cancer.
Eight years after its start in Berkeley, Caribou has raised $41 million and cut licensing deals—potentially worth hundreds of millions of dollars—with DuPont Pioneer, Novartis and others. It’s starting to develop medical therapies.
Haurwitz grew up in Austin, Texas, and earned a bachelor’s degree in biology at Harvard. She didn’t have a clear plan when she went on to UC Berkeley, but she thought she might later become a patent attorney.
That thinking changed as her Ph.D. work got more exciting. Haurwitz and Doudna spent a lot of time talking about how they could repurpose Crispr for modifying genomes to cure disease. Program the naturally occurring Crispr system to cut the gene you want to modify, and it’s theoretically possible to use it to change the genetic code to either fix “misspellings” that cause illness or disrupt the production of an unwanted protein.
Caribou started out with the notion of making Crispr technology available for DNA editing in applications such as drug development, agriculture and basic biological research. Haurwitz’s cofounders didn’t want to leave academia and were “crazy enough to let a 26-year-old who had never worked for a company in her life take on the role of president and CEO,” she says.
Haurwitz took a few business classes before getting her Ph.D., then pitched venture capitalists on funding a technology they didn’t really understand. Caribou was securing an exclusive license to some Crispr patents held by the University of California system and the University of Vienna. Still, “pretty much every VC we talked to kind of said, ‘Meh,’ ” Haurwitz remembers. This was 2012, and they thought she was overestimating Crispr’s potential.
The papers that propelled Crispr into the limelight came the next year, and investor dollars and a wave of new companies quickly followed. Editas Medicine, cofounded by Sherlock’s Feng Zhang, raised $43 million to apply the technology to medical therapies. Next was Intellia Therapeutics, cofounded by Caribou, which raised $15 million in its 2014 launch. And Crispr Therapeutics, founded by Crispr pioneer Emmanuelle Charpentier, raised $89 million. The three went public in 2016 and now have a combined market capitalization of $3.8 billion.
Meanwhile, Haurwitz was being cold-called by plant-breeding and drug companies. DuPont led an $11 million investment in 2015. Caribou raised another $30 million the next year and has been able to sustain itself on that funding and payments from licensing and partnership deals.
Caribou licensed to Integrated DNA Technologies the right to sell biology researchers what they’d need for gene-editing experiments. Genus, an animal genetics firm, paid Caribou an undisclosed amount for the exclusive right to use its proprietary Crispr technology to engineer the genes of pigs and other livestock. Similarly, the Jackson Laboratory is paying Caribou to use Crispr to engineer new populations of research mice that model human diseases.
Haurwitz will soon have to seek venture capital again, as Caribou has pivoted to drug development, which is expensive but potentially more lucrative. Her first focus: improve on existing cancer therapies that take patients’ immune cells and train them to attack cancer. Crispr, she says, could be used to edit the DNA of immune cells from healthy donors so that these cells could be given to any cancer patient. The company plans to start trials in humans next year. There’s competition, from Allogene Therapeutics and its partner Cellectis, which have a combined market cap of $3.9 billion.
Caribou is also developing a program in another buzzy area: the microbiome, or the many bacteria that inhabit all parts of the human body, particularly the gut. This time, investors know what Crispr is, and Haurwitz has already won some over. “She’s one of the few people that I’ve met in my life that is able to toggle between business talk and scientific talk in a heartbeat,” says Ambar Bhattacharyya, a Caribou investor at Maverick Ventures.
Beyond the competition, there is an intellectual property conflict. Overlapping patent claims from the University of California and the Broad Institute emerged for the foundational technology, which involves an enzyme called Cas9, used to cut DNA. A lawsuit between the institutions was decided in favor of the Broad, but the U.S. Patent Office has granted patents to both. UC’s patents claim broader rights than were demonstrated in its application, says Lisa Ouellette, a Stanford Law School professor, and could make them vulnerable to a legal challenge. (UC disagrees.)
Whoever owns the technology will command fat fees. Caribou might run trials related to a particular gene, but if other companies want to run trials related to other genes, they may have to approach Caribou, says Jacob Sherkow, a professor at New York Law School. “They’re going to have to pay handsomely.”
Legal battles aside, the new field risks public backlash. In November, Chinese scientist He Jiankui announced he’d used Crispr to tinker with the genomes of human embryos born as twin girls, thereby heightening pressure on Crispr scientists to consider the ethics of how they’re using the life-altering tech. Caribou’s license agreements include language to prevent its use on human embryos, Haurwitz says.
Doudna says researchers need to vet the science of editing the genes of embryos, and then people need to discuss how to use it responsibly. “Are there real unmet medical needs that would require this kind of editing or not? I think that’s one question.”
Debate over the answer will shape Crispr’s path to commercialization, one that holds immense potential for its youthful founders—and the likelihood of yet more controversy and conflict.
-Michela Tindera;Forbes Staff
-Ellie Kincaid;Forbes Staff
Jeff Bezos And Elon Musk Want To Get To The Moon—They Just Disagree On How To Get There
This Thursday, Jeff Bezos will make an announcement about his space company, Blue Origin. The image on the invitation sent to members of the press, a view of the Earth as seen from the Moon, suggests the Amazon founder will unveil Blue Origin’s plans to send both robotic and human missions to the lunar surface, possibly with a NASA contract in hand.
If that’s the case, he won’t be alone. Aerospace contractor Lockheed Martin has already unveiled its lunar plans in partnership with NASA. And Elon Musk’s SpaceX has a plan for a lunar flyby mission, while NASA Administrator Jim Bridenstein suggested to a Senate committee in March that the agency was open to using commercial heavy-lift rockets for its lunar crewed missions. SpaceX’s Falcon Heavy could serve such a mission.
The last few years have seen an increasing interest in going back to the Moon. The Trump Administration has announced it wants NASA to put humans back on the Moon by 2024, and the agency has also announced plans for a “Lunar Gateway” – a space station orbiting the Moon that would be developed in collaboration with multiple space agencies. That space station brings with it opportunities for commercial companies to develop lunar capabilities to provide support for missions at the Gateway.
Lockheed Martin has a long history with NASA and lunar exploration—it was one of the contractors on the Apollo missions. But billionaires Musk, who runs Tesla as well as SpaceX, and Bezos represent the burgeoning commercial space industry, and the paths the two respective men took to get to this point couldn’t be much different.
What the two companies have in common is that both are very much products of their founders’ visions. Jeff Bezos founded Blue Origin in 2000, just three years after Amazon’s IPO fed his fortune. Two years later, fresh off the sale of PayPal, Musk founded SpaceX with his own personal fortune.
It’s from there, however, that the paths of the companies diverged. For the next 15 years, Blue Origin barely made any noise, save for some controversy as Bezos bought up land in Texas to serve as the company’s test facility in the early 2000s, and some small announcements about milestones it had achieved in agreements made with NASA for about $25.7 million in funding for space development. Bezos remains the sole owner of Blue Origin, and Forbes estimates that the world’s wealthiest man has funneled over $1.5 billion of his personal fortune into the company, financed by sales of Amazon stock.
SpaceX, in the meantime, has been anything but quiet. The company began making noise in December 2003, when it drove its first rocket, the Falcon One, from the company’s headquarters in Hawthorne, California to Washington, D.C. in order to unveil it at the National Mall for an invited group of Congressional staffers, NASA and FAA officials.. Musk regularly promotes the company and its plans for the future, his eyes firmly set on Musk’s personal vision that SpaceX is to be the vanguard of humans becoming a multiplanetary civilization.
Musk was also more aggressive in obtaining venture financing and government contracts in order to support his company. Though he still maintains majority ownership (Forbes estimates his stake in the company is over 50%), SpaceX has also raised over $2.5 billion to date in venture financing, grants and debt, with a current valuation of over $31.5 billion, according to Pitchbook. Recent SEC filings show it aims to raise another $500 million in capital this year.
Throughout the past decade, SpaceX has kept itself in the public eye —even as it has brought the “move fast and break things” ethos of Silicon Valley to the traditionally more conservative aerospace industry.
“SpaceX is off trying new things, rapidly innovating, breaking things,” said Chad Anderson, founder of Space Angels, a VC firm specializing in the space industry. “They test quite a bit, and we’ve seen some failures. We’ve seen explosions of rockets — they even put a highlight reel together of rockets exploding as they tried to land them. They take it as a point of pride that they’re willing to try new things and they’re really captured the imagination of the public that way.”
By contrast, Blue Origin rarely makes major announcements about future plans, unless it’s unavoidable due to public contracts or other reasons, preferring instead to focus its press efforts on what it’s accomplished. “Bezos proudly proclaims whenever he does a big announcement, he likes to talk about the things that he’s done,” said Anderson. One rare exception for this has been its plans for the Moon. Its robotic cargo delivery lander, Blue Moon, was first announced in 2017, and last summer the company revealed that it had a five year plan to get to the Moon.
While SpaceX has adopted a high-profile view of its risky, iterative innovation strategy, Blue Origin’s development is nearly the exact opposite. The company motto is Gradatim Ferociter, a Latin phrase meaning Step By Step, Ferociously. In interviews, Bezos has quoted the old military maxim that “slow is smooth and smooth is fast,” and every time one of its resuable rockets has a successful launch and landing, a tortoise is painted on its side, a nod to Aesop’s moral that “slow and steady wins the race.”
Despite Bezos’ faith in a more slow-paced, perfectionist approach to development, it’s undeniable that SpaceX has seen more success – at least so far. Though Blue Origin has had 11 successful launches to date, it has yet to send any spacecraft to orbit, instead keeping its launches suborbital, like the Mercury spacecraft that its current system is inspired by.
SpaceX, meanwhile, has had over 70 successful commercial orbital launches, which include not only putting satellites in orbit but also 15 successful deliveries of cargo to the International Space Station. It was the first company to make a cargo delivery to the station, and the company has also seen two successful launches of its Falcon Heavy rocket, currently the most powerful rocket in commercial production.
This track record has also come at some cost to the company. It’s had multiple launch failures, some of which have resulted in the loss of customer payloads, and more recently, a test fire of rockets on the spacecraft it’s developing to deliver astronauts to the space station led to the destruction of that craft— and has also likely pushed the schedule for sending astronauts to the station back to 2020. The company was originally set to have its first successful crewed flight in 2017.
In this billionaire race to the Moon, Bezos and Musk have set themselves up as the Tortoise and the Hare, respectively. But it likely won’t be until at least the mid-2020s that we learn which approach will win.
-Alex Knapp; Forbes Staff
Tesla Sued By Family Of Silicon Valley Driver Killed In Model X Autopilot Crash
The family of a Tesla owner killed in a crash in the heart of Silicon Valley while driving his Model X with the Autopilot feature engaged has filed a wrongful death lawsuit against the carmaker, claiming the semi-automated driving feature is defective and was the cause.
Walter Huang, who was 38, died when his vehicle slammed into a concrete highway barrier on U.S. 101 in Mountain View, California, on March 23, 2018. The vehicle’s semi-automated system misread lane lines on the road, didn’t detect the concrete median and didn’t brake the Model X, but accelerated into the barrier, according to the complaint filed in the state court for Santa Clara County on April 26.
Tesla is “beta testing its Autopilot software on live drivers,” Mark Fong, a partner at Minami Tamaki, one of the firms representing Huang’s family, said in a statement. “The Huang family wants to help prevent this tragedy from happening to other drivers using Tesla vehicles or any semi-autonomous vehicles.”
Allegations against Tesla in the lawsuit include product liability, defective product design, failure to warn, intentional and negligent misrepresentation and false advertising. The complaint, which didn’t specify the amount of damages being sought, also names the State of California as a defendant for failing to replace a missing guard rail around the median that might have lessened the impact of the crash.
Tesla declined to comment on the lawsuit. The California Attorney General’s office didn’t respond to requests for comment.
The lawsuit comes a little over a week after CEO Elon Musk touted gains being made in Tesla’s automated drive technology, including a new computer designed specifically for autonomous vehicles, and plans to have “full self-driving” Teslas on the road by as early as next year. Tesla has said that drivers of its current system should always be ready to retake control of the car; the system has visual and audio alerts if hands are away from the steering wheel for an extended period. But the company’s marketing materials and its future-oriented CEO have come under fire for touting Autopilot’s capabilities, possibly encouraging drivers to abdicate more control than is safe.
After the Mountain View crash, the company said it was deeply saddenedand that “safety is at the core of everything we do and every decision we make, so the loss of a life in an accident involving a Tesla vehicle is difficult for all of us.”
In preparing the complaint, Fong said lawyers representing the family had access to Huang’s vehicle, but not to data collected by Tesla. “We had access to the car but the data in the car is proprietary. Tesla possesses that and the ability to decrypt it,” he said during a press conference on Wednesday. “We downloaded what we could that was in the public domain, shall we say, that’s able to be accessed by non-proprietary sources.”
Autopilot is a semi-automated system for use during highway driving and although Tesla cautions drivers to be ready to retake control, Huang wasn’t the first person killed while using it.
There have been multiple accidents, some fatal, involving drivers using Autopilot, beginning most notably with a 2016 crash in Florida that killed 40-year-old Joshua Brown. He was using Autopilot when his car slammed into a truck that crossed his path on a divided highway near Williston, Florida, that the car’s system didn’t detect. Still, the National Highway Traffic Safety Administration failed to find any specific flaw in the technology and took no action against the carmaker after concluding a six-month investigation in January 2017.
The National Transportation Safety Board, which began investigating the Huang accident confirmed in a preliminary report that Autopilot was being used at the time of the crash. It also found that his hands were detected on the steering wheel “for a total of 34 seconds, on three separate occasions, in the 60 seconds before impact.” Even so, “the vehicle did not detect the driver’s hands on the steering wheel in the six seconds before the crash.”
The federal agency hasn’t said when its final report will be issued. NTSB removed Tesla as a party to the investigation in April 2018, for “releasing investigative information before it was vetted and confirmed.”
“Such releases of incomplete information often lead to speculation and incorrect assumptions about the probable cause of a crash, which does a disservice to the investigative process and the traveling public,” NTSB said.
The case is Sz Hua Huang et al v. Tesla Inc., The State of California, no. 19CV346663, filed in California Superior Court, County of Santa Clara
–Alan Ohnsman; Forbes Staff
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