Ram Kumar believes that developers are attracted to artificial intelligence (AI) on chains for his new technical puzzles, sustainable business models and cultural significance. He advises prospective builders to approach AI as a research project aimed at solving open challenges.
Beyond the hype
In recent months, the AI sector has fascinated the technical world and signed a significant mindshare and in particular a noticeable migration of blockchain developers of decentralized finances (Defi) into AI-centric projects. In addition to the first hype and rising AI topping prices, this shift indicates a deeper evolution within web3, powered by new technical challenges and AIs unmistakable cultural relevance.
Ram Kumar, a core contribution carrier and co -founder at OpenLedger, a protocol aimed at an “affordable AI” economy, offers a mandatory explanation for this exodus. “Developers are now on their way to AI on the chain because it offers fresher technical puzzles, more sustainable and healthier business models and increased cultural relevance in the current AI era,” Kumar said.
While Defi remains a fundamental pillar of Web3, his journey to widespread adoption has had to deal with obstacles. “Defi has plipped in terms of continuous breakthroughs with additional technical and regulatory challenges, with always thin margins,” Kumar noted. This contrasts sharply with the fast -growing opportunities in AI.
He emphasized that “AI-centric subjects such as verifiable inference,>
The real costs of regulations
Despite the ruthless buzz around AI and Web3, their merger remains largely theoretically, with regular applications that are still left behind in expectations. Although discussions emphasize their transforming potential, tangible implementations in daily consumer or business ecosystems are scarce.
In his written answers shared with Bitcoin.com -News, Kumar identifies various important obstacles that hinder the regular acceptance of the direct implementation of AI and Web3. The first is the priceless costs involved in running large models on the chain, which “can cost ten to a hundred times more than afferior outside chain.” The lack of high -quality data on public block chains is also a challenge, because most valuable data is currently located.
According to Kumar, the current user experience is experienced as cumbersome, whereby individuals have to manage multiple elements such as crypto portfolios and sometimes even GPU subscriptions. However, the co-founder of OpenLedger is optimistic that breakthrough solutions are closer.
“Rollups and coprocessors of Nulkennis are ready to quickly save the costs considerably, evidence of origin will take data feeds from the chain of the risk, and wallet-native agents will hide the complexity, but those frictions will keep the most implementations in the laboratory for now that the ecosystem is becoming the ecosystem.
Growing concern that AI, if not regulated, could pose a danger to society, a number of countries have seen laws or imposes appropriate regulations. To illustrate, in 2024, approximately 31 states in the US established AI-related laws, which cover deepfakes, algorithmic bias and transparency. In Europe, the AI law, the first of its kind worldwide, imposes strict rules for AI applications with a high risk.
Many proponents of innovation insist that such laws slow down the development of useful technologies. However, Kumar will continue to submit the regulation as a reactive force that ultimately follows the technology to guarantee safety and fairness, but often with unintended consequences. He quotes the AI Act of the European Union, which, despite its good intentions, “makes the price startups before they ever reach the product market fit.”
When asked how he would do things differently than what many supervisors have done so far, Kumar said:
“I would assume a job-first taxonomy that distinguishes payment, governance and data access vessels and grant an eighteen to twenty-four months of safe port period in which new networks may decentralize while publishing open telemetry.”
The co-founder of OpenLedger told Bitcoin.com News that he would argue for lighter regulations to encourage open-source, safety-critical AI models that are supplied with evaluation suites. This approach, he argues, promotes transparency and enables all stakeholders to tackle the worries safely, without endangering the protection of consumers.