Numerai is a hedge fund that's using technology to create an unprecedented network effect, and transform the way money is managed. Crowdsourced investment strategies are many and varied, but Numerai crowdsources machine intelligence in a totally unique way by supplying its network of data scientists with encrypted data on which to test their machine learning models, thus removing any bias attached to the application of the algorithms. These models are entered into a monthly tournament and the best ones receive a pay-out. This was previously done using Bitcoin (because it was efficient and more anonymous than PayPal), but more recently Numerai launched its own token, Numeraire (NMR), on Ethereum, the public blockchain which has spawned a multitude of trustless, decentralized applications. The aim of the token was to create more value for Numerai's growing network of scientists, and further align them with the collaborative goals of the project.

Numerai, a hedge fund created by South African developer Richard Craib, has begun to incentivize its anonymous data scientists with Ethereum's native token Ether instead of Bitcoin. Earlier this week, Numerai migrated its platform and deployed the Numeraire smart contract to the Ethereum network, sending 1.2 mln tokens to 19,000 data scientists globally. However, because the Numeraire token and its smart contract are launched on top of the Ethereum network, the hedge fund struggled to create a practical and compatible way of incentivizing its data scientists. Ether, the native token of Ethereum, is compatible with the tokens of all decentralized applications launched on top of the Blockchain, which is why it is used as a currency peg for investors participating in initial coin offerings (ICOs).

Generous employee perks are as much a part of the tech industry as long work hours, office Nerf gun battles, and people overusing the word disruption. But while most firms only go so far as free meals, on-site yoga classes, and maybe the occasional indoor climbing wall, an artificial intelligence-driven hedge fund is taking things to the next level. Numerai'snew employee benefit is -- quite literally -- the coolest one we have heard about. You wont be able to enjoy it until youre dead. We are allowing employees cryonic body preservation as a benefit, Richard Craib, founder of Numerai, told Digital Trends.

With performance falling, investors fleeing and offices closing, hedge funds had a rough 2016. But San Francisco-based Numerai was just getting started. Instead of relying on the genius of a single person or small team, the firm uses encrypted data sets to crowdsource stock market prediction models built with artificial intelligence from 12,000 anonymous data scientists worldwide who compete to win bitcoin. And if that flew over your head, the main takeaways are that this hedge fund has orders of magnitude more data scientists trying to improve its investing strategy than the biggest name hedge funds today, and what makes the firm possible is a confluence of technologies that didn't even exist a few years ago -- primarily in cryptography and artificial intelligence. Now the one-year-old company, founded by 29-year-old South African Richard Craib (a Forbes 30 Under 30 designee) and funded by the likes of Union Square Ventures, is launching its own cryptocurrency, the Numeraire. It is the first virtual currency issued by a hedge fund and one of the first released by a company (rather than a group of developers or a non-profit).

It makes sense for large technology companies like Google and Microsoft to open source AI and machine learning solutions because they have overlapping vertical interests in providing vast cloud services. These come into play when a certain machine learning library becomes popular and users deploy it on the cloud and so forth. It is less clear why financial services companies, which play a much more directly correlated zero sum game, would open up code that they paid the engineering team to create. It's interesting that hedge funds, traditionally thought to be the most secretive of financial institutions, have been proactive in pushing an open source software agenda. AQR Capital Management was probably patient zero when it came to opening up their code around data storage – and this move, shepherded by software engineer Wes McKinney, kickstarted the popular Pandas libraries project.

Wall Street is a competition, a Darwinian battle for the almighty dollar. Gordon Gekko said that greed is good, that it captures "the essence of the evolutionary spirit." A hedge fund hunts for an edge and then maniacally guards it, locking down its trading data and barring its traders from joining the company next door. The big bucks lie in finding market inefficiencies no one else can, succeeding at the expense of others. But Richard Craib wants to change that.

With performance falling, investors fleeing and offices closing, hedge funds had a rough 2016. But San Francisco-based Numerai was just getting started. Instead of relying on the genius of a single person or small team, the firm uses encrypted data sets to crowdsource stock market prediction models built with artificial intelligence from 12,000 anonymous data scientists worldwide who compete to win bitcoin. And if that flew over your head, the main takeaways are that this hedge fund has orders of magnitude more data scientists trying to improve its investing strategy than the biggest name hedge funds today, and what makes the firm possible is a confluence of technologies that didn't even exist a few years ago -- primarily in cryptography and artificial intelligence. Now the one-year-old company, founded by 29-year-old South African Richard Craib (a Forbes 30 Under 30 designee) and funded by the likes of Union Square Ventures, is launching its own cryptocurrency, the Numeraire. It is the first virtual currency issued by a hedge fund and one of the first released by a company (rather than a group of developers or a non-profit).

Wall Street is a competition, a Darwinian battle for the almighty dollar. Gordon Gekko said that greed is good, that it captures "the essence of the evolutionary spirit." A hedge fund hunts for an edge and then maniacally guards it, locking down its trading data and barring its traders from joining the company next door. The big bucks lie in finding market inefficiencies no one else can, succeeding at the expense of others. But Richard Craib wants to change that.

Richard Craib is a 29-year-old South African who runs a hedge fund in San Francisco. He leaves that to an artificially intelligent system built by several thousand data scientists whose names he doesn't know. Under the banner of a startup called Numerai, Craib and his team have built technology that masks the fund's trading data before sharing it with a vast community of anonymous data scientists. Using a method similar to homomorphic encryption, this tech works to ensure that the scientists can't see the details of the company's proprietary trades, but also organizes the data so that these scientists can build machine learning models that analyze it and, in theory, learn better ways of trading financial securities. "We give away all our data," says Craib, who studied mathematics at Cornell University in New York before going to work for an asset management firm in South Africa.

Numer.ai is a crowdsourced hedge fund for machine learning experts Richard Craib believes that some of the best stock pickers aren't on Wall Street. The former hedge funder came to the realization that tech's machine learning experts may be able to build better predictive models than those with finance backgrounds. Craib carried this thesis forward when he launched Numer.ai last year, a crowdsourced hedge fund. The startup hopes to attract the best and brightest minds at companies like Google and pay them for their AI skills. And the first year saw significant traction, with 7500 "data scientists" creating algorithms on Numer.ai's Now the startup is announcing $6 million in funding from First Round Capital and Union Square Ventures to continue their team's expansion and buy more historical data sets (Craib refused to say where they get their data from).