- Decentralized Physical Infrastructure Networks (DePIN) in Web3, aided by blockchain technology, offer viable solutions to challenges in AI, such as high compute costs and the data barrier.
- Blockchain can serve as a vehicle to inject transparency, establish proof of origin for digital content, and incentivize data contribution.
While tech titans like OpenAI, Nvidia, Google, and Meta currently dominate AI development, the competitive landscape is gradually shifting, as asserted by Catrina Wang, a partner at Portal Ventures. Central to this paradigm shift is the burgeoning role of blockchain technology.
At the core of this evolution lies Decentralized Physical Infrastructure Networks (DePIN), a groundbreaking concept in Web3. By leveraging the power of blockchain, DePIN networks present a robust response to the long-standing challenges faced by AI startups. These challenges, from towering compute costs to big tech’s data barrier, have for long straitjacketed AI development.
Why does AI need blockchain?@curiouscatwang makes the case for Decentralized Physical Infrastructure Networks (DePINs) like Filecoin.
1️⃣Reduction of infra costs
3️⃣Infusion of democracy & transparency
4️⃣Data contribution incentiveshttps://t.co/tdbkmhVjTc
— Filecoin News (@Filecoin) June 10, 2023
Filecoin, Bacalhau, Gensyn.ai, Render Network, and ExaBits stand out as pioneers of DePIN networks. These innovative platforms promise to drastically cut infrastructure costs by 75% to 90% – a massive leap that could democratize AI development. These reductions are achieved through fostering competition, implementing cryptoeconomic designs, and reducing overhead costs.
The societal ramifications of AI, exemplified by deepfake videos and voices, have stirred apprehension and calls for regulation. Blockchain offers an elegant solution to this complex issue by integrating ‘guardrails’ into AI technology, promising a safer and more sustainable future for AI innovation.
One such guardrail is the Proof of Humanity and Creatorship, which leverages Blockchain’s power to create tamper-proof records of origin. These immutable records serve as a testament to the authenticity of digital content, offering a strong bulwark against the rise of deep fakes. The unique digital signature of the content’s creator, verified through a public key, further fortifies this defense.
Moreover, the InterPlanetary File System (IPFS) and Merkle Tree provide powerful tools for ensuring the authenticity of large datasets. The system’s ability to generate new hash with each file modification allows for detailed file modification tracking, a far superior alternative to machine learning algorithms.
Moving away from AI’s current “black box” nature, Blockchain enables a democratic system where each user or developer can contribute to models. This decentralized approach to AI unlocks new possibilities, empowering consumers to provide valuable feedback and monetize their data, and developers to curate data, fine-tune algorithms, and enhance reproducibility of training data output.
The big tech’s stronghold on consumer data stands as a formidable obstacle to data democracy. However, blockchain introduces a novel solution – dataDAOs. These dataDAOs create an incentive mechanism, offering revenue redistribution to data contributors and fostering data as a public good. This democratization of data holds the potential to transform AI, as we know it, paving the path towards a more inclusive and transparent future.