Topics
Latest
AI
Amazon
Image Credits:Yuichiro Chino / Getty Images
Apps
Biotech & Health
mood
Image Credits:Yuichiro Chino / Getty Images
Cloud Computing
mercantilism
Crypto
Image Credits:TenSquared Capital(opens in a new window)
Enterprise
EVs
Fintech
Fundraising
Gadgets
Gaming
Government & Policy
Hardware
Layoffs
Media & Entertainment
Meta
Microsoft
Privacy
Robotics
Security
Social
Space
inauguration
TikTok
Transportation
speculation
More from TechCrunch
consequence
Startup Battlefield
StrictlyVC
Podcasts
Videos
Partner Content
TechCrunch Brand Studio
Crunchboard
Contact Us
Some of the adult technical conception have transpire over the past few age across the stilted intelligence and blockchain industries , severally .
And even though the two sectors are hit different levels of mainstream acceptance , they are also confront challenges that the other could potentially help alleviate , according to anew reportTenSquared Capital ( 10SQ ) deal exclusively with TechCrunch+ .
“ I think AI needs blockchain more than the other path around , ” whether or not the industriousness realizes it , 10SQ founder Stan Miroshnik said .
The AI sphere needs more good data sharing and decentralization marketplaces for its model so the great unwashed can contribute to its networks . AI also needs model validations and auditing , which blockchain technology can facilitate with , Miroshnik said . On the impudent side , blockchain technology can profit from AI modelling and agents in real sentence to meliorate moderating for vulnerabilities , among other things .
A symbiotic kinship between the two manufacture is top of mind for developers , too , as research and exploitation activity across both sphere has risen over the retiring five years . There are now over 6,900 blockchain and AI - related GitHub repository ; 539,000 GitHub pull requests ; 1,500 filed patents ; and 5,600 inquiry publication related to blockchain and AI as of December 31 , 2023 .
The biggest challenges to adopting blockchain and AI is scalability , compatibility and governance issues , the paper said . Blockchain networks have been working on improving the infrastructure and scaling progeny throughout the most recent bear market , but many networks are still working on processing high volume and datum .
“ As the technologies advance , blockchain [ and ] AI could complement and elevate each other , result in a more diverse and enriched technological landscape , ” the written report read .
Join us at TechCrunch Sessions: AI
Exhibit at TechCrunch Sessions: AI
Blockchain technology is also a “ central solution to verifying mental object authenticity ” and can be used to build encrypted web . Combining AI and blockchain engineering could result in “ more secure and efficient cybersecurity systems , ” for example .
According to a November 2023 Casper Labssurveyof 608 IT decision - Godhead , a absolute majority said that AI and blockchain technology were “ complemental ” to one another . But 19 % said that they are two dissimilar , unrelated technologies with “ no potential crossing . ” The same study found that citizenry who use blockchain technology , about 51 % , do so to process more efficiently with AI .
Even with a speculation capital downturn in crypto , the web3 and AI category was one of the most well - fund in 2023 with around $ 600 million , or 11 % , of the total going to that sphere , according to the 10SQ Capital report .
AI integration can be accomplish a number of ways , including at the infrastructure level of blockchain engineering through smart contracts , protocols and web3 security , as well as decentralized applications ( dApps ) . It can also help take down the roadblock to entry in blockchain coding by partake computer code - writing tools that help developers write much more promptly .
On Tuesday , Vitalik Buterin , co - founder of Ethereum — thelargest blockchainby total value locked — shared ablog postabout the promise and challenge of crypto and AI applications , writing that “ pure AI interfaces are probably too bad at the moment . ” He does see “ AI as a player in the game , ” but the ultimate source of incentives would come from a communications protocol with human inputs .
“ I think it ’s early for AI and relatively early for blockchain , and they ’re find a instinctive crossway , ” Miroshnik said . “ It ’s one of the things where in the future we do n’t think of them individually but as a continuum . ”
But over sentence , Miroshnik thinks it will be a “ natural evolution of the two technologies combine ” and AI frameworks will change over to an open , distribute model and use blockchain mechanism to reach that . “ Whether that ’s moving off a centralised platform , being stored in a distributed swarm or sharing resource . . . I opine [ blockchain engineering ] will be part of the plumbing system of how AI works in the future . ”
