LLM Agents Are the Antidote to Walled Gardens
This addresses the issue of user lock-in and lack of data portability for users and developers, though it is a novel paradigm rather than incremental.
The paper tackles the problem of closed, proprietary platforms dominating the Internet by proposing that LLM-based agents enable universal interoperability, making data exchange between services cheaper and unavoidable, which could undermine monopolistic behaviors and promote data portability.
While the Internet's core infrastructure was designed to be open and universal, today's application layer is dominated by closed, proprietary platforms. Open and interoperable APIs require significant investment, and market leaders have little incentive to enable data exchange that could erode their user lock-in. We argue that LLM-based agents fundamentally disrupt this status quo. Agents can automatically translate between data formats and interact with interfaces designed for humans: this makes interoperability dramatically cheaper and effectively unavoidable. We name this shift universal interoperability: the ability for any two digital services to exchange data seamlessly using AI-mediated adapters. Universal interoperability undermines monopolistic behaviours and promotes data portability. However, it can also lead to new security risks and technical debt. Our position is that the ML community should embrace this development while building the appropriate frameworks to mitigate the downsides. By acting now, we can harness AI to restore user freedom and competitive markets without sacrificing security.