Blockchain computer programs are pretty smart—that’s why we call them smart contracts—but they’re also pretty weak. If they’re going to achieve many of the lofty, world-changing goals that blockchain proponents say they will, like revolutionize health care and the energy industry and give people back control of their personal data online, they’re going to need to be run in a whole new way. That’s where Dawn Song’s new startup, Oasis Labs, comes in.
This piece first appeared in our twice-weekly newsletter Chain Letter, which covers the world of blockchain and cryptocurrencies. Sign up here—it’s free!
The cryptocurrency world is overflowing with big claims, but Song is a well-known computer science professor at UC Berkeley and a MacArthur fellow (as well as one of MIT Technology Review’s 35 Innovators Under 35 in 2009). And a number of big-name funders seem to think her company, Oasis Labs, is on to something. This week, the startup announced that it has raised $45 million in a private token presale to a group of high-profile cryptocurrency investors and Silicon Valley venture capitalists. It also became the first project to get backing from Andreessen Horowitz’s new $300 million crypto fund.
Song says Oasis Labs has developed new “privacy preserving” smart-contract technology that overcomes fundamental limitations of today’s most popular smart-contract platform, Ethereum. She and several colleagues described a major component of the system in a recently published research paper (PDF).
Ethereum and similar smart-contract systems have limited utility for two main reasons, according to Song. First, the network’s rules generally require that every node execute every smart contract—that’s how the network reaches consensus. “Even when you have 100,000 nodes, the capacity of the network is still the same as one node,” she says. That severely constrains its performance. Second, today’s smart contracts can’t assure the confidentiality of sensitive data. Blockchains were built to be transparent! That’s why so many theoretical blockchain applications are still stuck on the drawing board.
The system Oasis Labs hopes to launch next year will offer both, Song says, by separating smart-contract execution from blockchain consensus. Using the platform, she says, it will be possible to do things like assure the confidentiality of sensitive health data while using it to train a machine-learning model.
How will Oasis pull off this cryptographic sorcery? Contracts will run inside an isolated piece of hardware called a secure enclave. The enclave acts like a black box, keeping the computation private from a computer’s other applications, its operating system, and its owner. It also generates cryptographic proof that the programs were executed correctly—and that proof goes on the blockchain. Separating contract execution from consensus “enables these different layers to scale independently,” says Song.
Ari Juels, a computer science professor at Cornell Tech who coauthored the new research paper but is not affiliated with Oasis Labs, says the approach is the most practical way to make more useful smart-contract applications possible. Without the help of trusted hardware, he argues, blockchains may not “realize their full potential.”
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
The Biggest Questions: What is death?
New neuroscience is challenging our understanding of the dying process—bringing opportunities for the living.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
How to fix the internet
If we want online discourse to improve, we need to move beyond the big platforms.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.