In February 2024, Reddit struck a $60 million cope with Google to let the search large use knowledge on the platform to coach its synthetic intelligence fashions. Notably absent from the discussions had been Reddit customers, whose knowledge had been being bought.
The deal mirrored the fact of the trendy web: Large tech firms personal just about all our on-line knowledge and get to determine what to do with that knowledge. Unsurprisingly, many platforms monetize their knowledge, and the fastest-growing technique to accomplish that right this moment is to promote it to AI firms, who’re themselves large tech firms utilizing the info to coach ever extra {powerful} fashions.
The decentralized platform Vana, which began as a category venture at MIT, is on a mission to provide energy again to the customers. The corporate has created a completely user-owned community that permits people to add their knowledge and govern how they’re used. AI builders can pitch customers on concepts for brand spanking new fashions, and if the customers conform to contribute their knowledge for coaching, they get proportional possession within the fashions.
The concept is to provide everybody a stake within the AI methods that may more and more form our society whereas additionally unlocking new swimming pools of information to advance the know-how.
“This knowledge is required to create higher AI methods,” says Vana co-founder Anna Kazlauskas ’19. “We’ve created a decentralized system to get higher knowledge — which sits inside huge tech firms right this moment — whereas nonetheless letting customers retain final possession.”
From economics to the blockchain
Quite a lot of highschool college students have footage of pop stars or athletes on their bed room partitions. Kazlauskas had an image of former U.S. Treasury Secretary Janet Yellen.
Kazlauskas got here to MIT certain she’d change into an economist, however she ended up being considered one of 5 college students to hitch the MIT Bitcoin membership in 2015, and that have led her into the world of blockchains and cryptocurrency.
From her dorm room in MacGregor Home, she started mining the cryptocurrency Ethereum. She even sometimes scoured campus dumpsters looking for discarded pc chips.
“It acquired me interested by every part round pc science and networking,” Kazlauskas says. “That concerned, from a blockchain perspective, distributed methods and the way they’ll shift financial energy to people, in addition to synthetic intelligence and econometrics.”
Kazlauskas met Artwork Abal, who was then attending Harvard College, within the former Media Lab class Emergent Ventures, and the pair determined to work on new methods to acquire knowledge to coach AI methods.
“Our query was: How may you’ve numerous individuals contributing to those AI methods utilizing extra of a distributed community?” Kazlauskas recollects.
Kazlauskas and Abal had been attempting to handle the established order, the place most fashions are educated by scraping public knowledge on the web. Large tech firms typically additionally purchase giant datasets from different firms.
The founders’ method advanced through the years and was knowledgeable by Kazlauskas’ expertise working on the monetary blockchain firm Celo after commencement. However Kazlauskas credit her time at MIT with serving to her take into consideration these issues, and the teacher for Emergent Ventures, Ramesh Raskar, nonetheless helps Vana take into consideration AI analysis questions right this moment.
“It was nice to have an open-ended alternative to simply construct, hack, and discover,” Kazlauskas says. “I feel that ethos at MIT is admittedly vital. It’s nearly constructing issues, seeing what works, and persevering with to iterate.”
At present Vana takes benefit of a little-known legislation that permits customers of most huge tech platforms to export their knowledge instantly. Customers can add that info into encrypted digital wallets in Vana and disburse it to coach fashions as they see match.
AI engineers can counsel concepts for brand spanking new open-source fashions, and folks can pool their knowledge to assist practice the mannequin. Within the blockchain world, the info swimming pools are known as knowledge DAOs, which stands for decentralized autonomous group. Information can be used to create customized AI fashions and brokers.
In Vana, knowledge are utilized in a manner that preserves consumer privateness as a result of the system doesn’t expose identifiable info. As soon as the mannequin is created, customers keep possession so that each time it’s used, they’re rewarded proportionally primarily based on how a lot their knowledge helped educated it.
“From a developer’s perspective, now you’ll be able to construct these hyper-personalized well being purposes that consider precisely what you ate, the way you slept, the way you train,” Kazlauskas says. “These purposes aren’t potential right this moment due to these walled gardens of the large tech firms.”
Crowdsourced, user-owned AI
Final yr, a machine-learning engineer proposed utilizing Vana consumer knowledge to coach an AI mannequin that might generate Reddit posts. Greater than 140,000 Vana customers contributed their Reddit knowledge, which contained posts, feedback, messages, and extra. Customers selected the phrases during which the mannequin might be used, they usually maintained possession of the mannequin after it was created.
Vana has enabled related initiatives with user-contributed knowledge from the social media platform X; sleep knowledge from sources like Oura rings; and extra. There are additionally collaborations that mix knowledge swimming pools to create broader AI purposes.
“Let’s say customers have Spotify knowledge, Reddit knowledge, and trend knowledge,” Kazlauskas explains. “Normally, Spotify isn’t going to collaborate with these sorts of firms, and there’s really regulation towards that. However customers can do it in the event that they grant entry, so these cross-platform datasets can be utilized to create actually {powerful} fashions.”
Vana has over 1 million customers and over 20 stay knowledge DAOs. Greater than 300 further knowledge swimming pools have been proposed by customers on Vana’s system, and Kazlauskas says many will go into manufacturing this yr.
“I feel there’s a number of promise in generalized AI fashions, customized medication, and new shopper purposes, as a result of it’s robust to mix all that knowledge or get entry to it within the first place,” Kazlauskas says.
The information swimming pools are permitting teams of customers to perform one thing even probably the most {powerful} tech firms battle with right this moment.
“At present, huge tech firms have constructed these knowledge moats, so the very best datasets aren’t obtainable to anybody,” Kazlauskas says. “It’s a collective motion downside, the place my knowledge by itself isn’t that useful, however a knowledge pool with tens of 1000’s or thousands and thousands of individuals is admittedly useful. Vana permits these swimming pools to be constructed. It’s a win-win: Customers get to profit from the rise of AI as a result of they personal the fashions. Then you definately don’t find yourself in situation the place you don’t have a single firm controlling an omnipotent AI mannequin. You get higher know-how, however everybody advantages.”
In February 2024, Reddit struck a $60 million cope with Google to let the search large use knowledge on the platform to coach its synthetic intelligence fashions. Notably absent from the discussions had been Reddit customers, whose knowledge had been being bought.
The deal mirrored the fact of the trendy web: Large tech firms personal just about all our on-line knowledge and get to determine what to do with that knowledge. Unsurprisingly, many platforms monetize their knowledge, and the fastest-growing technique to accomplish that right this moment is to promote it to AI firms, who’re themselves large tech firms utilizing the info to coach ever extra {powerful} fashions.
The decentralized platform Vana, which began as a category venture at MIT, is on a mission to provide energy again to the customers. The corporate has created a completely user-owned community that permits people to add their knowledge and govern how they’re used. AI builders can pitch customers on concepts for brand spanking new fashions, and if the customers conform to contribute their knowledge for coaching, they get proportional possession within the fashions.
The concept is to provide everybody a stake within the AI methods that may more and more form our society whereas additionally unlocking new swimming pools of information to advance the know-how.
“This knowledge is required to create higher AI methods,” says Vana co-founder Anna Kazlauskas ’19. “We’ve created a decentralized system to get higher knowledge — which sits inside huge tech firms right this moment — whereas nonetheless letting customers retain final possession.”
From economics to the blockchain
Quite a lot of highschool college students have footage of pop stars or athletes on their bed room partitions. Kazlauskas had an image of former U.S. Treasury Secretary Janet Yellen.
Kazlauskas got here to MIT certain she’d change into an economist, however she ended up being considered one of 5 college students to hitch the MIT Bitcoin membership in 2015, and that have led her into the world of blockchains and cryptocurrency.
From her dorm room in MacGregor Home, she started mining the cryptocurrency Ethereum. She even sometimes scoured campus dumpsters looking for discarded pc chips.
“It acquired me interested by every part round pc science and networking,” Kazlauskas says. “That concerned, from a blockchain perspective, distributed methods and the way they’ll shift financial energy to people, in addition to synthetic intelligence and econometrics.”
Kazlauskas met Artwork Abal, who was then attending Harvard College, within the former Media Lab class Emergent Ventures, and the pair determined to work on new methods to acquire knowledge to coach AI methods.
“Our query was: How may you’ve numerous individuals contributing to those AI methods utilizing extra of a distributed community?” Kazlauskas recollects.
Kazlauskas and Abal had been attempting to handle the established order, the place most fashions are educated by scraping public knowledge on the web. Large tech firms typically additionally purchase giant datasets from different firms.
The founders’ method advanced through the years and was knowledgeable by Kazlauskas’ expertise working on the monetary blockchain firm Celo after commencement. However Kazlauskas credit her time at MIT with serving to her take into consideration these issues, and the teacher for Emergent Ventures, Ramesh Raskar, nonetheless helps Vana take into consideration AI analysis questions right this moment.
“It was nice to have an open-ended alternative to simply construct, hack, and discover,” Kazlauskas says. “I feel that ethos at MIT is admittedly vital. It’s nearly constructing issues, seeing what works, and persevering with to iterate.”
At present Vana takes benefit of a little-known legislation that permits customers of most huge tech platforms to export their knowledge instantly. Customers can add that info into encrypted digital wallets in Vana and disburse it to coach fashions as they see match.
AI engineers can counsel concepts for brand spanking new open-source fashions, and folks can pool their knowledge to assist practice the mannequin. Within the blockchain world, the info swimming pools are known as knowledge DAOs, which stands for decentralized autonomous group. Information can be used to create customized AI fashions and brokers.
In Vana, knowledge are utilized in a manner that preserves consumer privateness as a result of the system doesn’t expose identifiable info. As soon as the mannequin is created, customers keep possession so that each time it’s used, they’re rewarded proportionally primarily based on how a lot their knowledge helped educated it.
“From a developer’s perspective, now you’ll be able to construct these hyper-personalized well being purposes that consider precisely what you ate, the way you slept, the way you train,” Kazlauskas says. “These purposes aren’t potential right this moment due to these walled gardens of the large tech firms.”
Crowdsourced, user-owned AI
Final yr, a machine-learning engineer proposed utilizing Vana consumer knowledge to coach an AI mannequin that might generate Reddit posts. Greater than 140,000 Vana customers contributed their Reddit knowledge, which contained posts, feedback, messages, and extra. Customers selected the phrases during which the mannequin might be used, they usually maintained possession of the mannequin after it was created.
Vana has enabled related initiatives with user-contributed knowledge from the social media platform X; sleep knowledge from sources like Oura rings; and extra. There are additionally collaborations that mix knowledge swimming pools to create broader AI purposes.
“Let’s say customers have Spotify knowledge, Reddit knowledge, and trend knowledge,” Kazlauskas explains. “Normally, Spotify isn’t going to collaborate with these sorts of firms, and there’s really regulation towards that. However customers can do it in the event that they grant entry, so these cross-platform datasets can be utilized to create actually {powerful} fashions.”
Vana has over 1 million customers and over 20 stay knowledge DAOs. Greater than 300 further knowledge swimming pools have been proposed by customers on Vana’s system, and Kazlauskas says many will go into manufacturing this yr.
“I feel there’s a number of promise in generalized AI fashions, customized medication, and new shopper purposes, as a result of it’s robust to mix all that knowledge or get entry to it within the first place,” Kazlauskas says.
The information swimming pools are permitting teams of customers to perform one thing even probably the most {powerful} tech firms battle with right this moment.
“At present, huge tech firms have constructed these knowledge moats, so the very best datasets aren’t obtainable to anybody,” Kazlauskas says. “It’s a collective motion downside, the place my knowledge by itself isn’t that useful, however a knowledge pool with tens of 1000’s or thousands and thousands of individuals is admittedly useful. Vana permits these swimming pools to be constructed. It’s a win-win: Customers get to profit from the rise of AI as a result of they personal the fashions. Then you definately don’t find yourself in situation the place you don’t have a single firm controlling an omnipotent AI mannequin. You get higher know-how, however everybody advantages.”
