Show HN: WebPerceptor – Enabling AI Mediated Web Browsing (github.com)

WebPerceptor has launched as a client-side Chromium plugin that revolutionizes web browsing by enabling real-time modification of web page content using large language models (LLMs). As users navigate any website, WebPerceptor identifies text, sends it to a user-defined LLM, and automatically replaces the original text with the LLM's output. This capability allows for a personalized, AI-mediated browsing experience where content is dynamically adapted to meet user preferences, whether for comprehension, engagement, or safety. The significance of WebPerceptor lies in its potential to transform how information is consumed, making the web more accessible and tailored to individual needs. However, it raises pressing ethical concerns, such as bias, censorship, and the risk of misinformation, as it has the power to alter the narrative presented to users. The tool supports both cloud-based and local LLMs, presenting a trade-off between performance and privacy, with benchmarks indicating fast processing times across various content types. As users and developers explore this technology, it opens up discussions on responsible use while highlighting the challenges of ensuring accurate representation and maintaining diverse viewpoints online.