Caridy's Codex

Super Browsers: A Possible Future

As I navigate the ever-evolving landscape of technology, I find myselves speculating about the future and the exciting possibilities it holds. One such possibility is the potential emergence of "Super Browsers". This term, still fresh in the tech lexicon, describes a browser that houses a Large Language Model and can tap into its capabilities, and potentially sharing these capabilities with web applications.

But what exactly could Large Language Models bring to the table if integrated into browsers? Let's explore some of the possibilities.

The Potential of LLMs in Super Browsers

The integration of Large Language Models (LLMs) into browsers, or what we're calling "Super Browsers", could open up a world of possibilities for both web developers and users. After seeing what Microsoft is doing with Bing, and how they are integrating LLMs into their search engine as a first class citizen in Edge, and as a second class citizen in other browsers, it is not hard to imagine that using a local LLM when available could be the next step. The only remaining question is whether developers would be able to tap into these capabilities, and how.

For developers, the integration of LLMs could significantly enhance the capabilities of web applications. For instance, developers could leverage LLMs to interpret complex data and articulate it in natural language, making information more accessible and understandable for users. They could also use LLMs to provide language translation, content summarization, and other advanced language processing features, enriching the functionality of web applications.

Moreover, the integration of LLMs into browsers could also lead to cost savings for developers. By leveraging the computational resources of the user's device, developers could reduce the need for server-side resources, this is basically access to free tokens. This could make LLMs more accessible, potentially democratizing access to advanced AI capabilities.

For users, Super Browsers could offer more intelligent and interactive experiences. With LLMs, browsers could understand user inputs in a more nuanced way, generating more accurate and relevant responses. This could lead to more efficient browsing experiences, with users spending less time searching for information and more time engaging with content that is relevant and meaningful to them.

Challenges and Considerations for Super Browsers

While the integration of Large Language Models into browsers presents exciting possibilities, it also brings with it a set of challenges and considerations.

One of the primary challenges would be managing performance and resource consumption. Running LLMs locally on a user's device could be resource-intensive, potentially affecting the performance of the device or the browser. Developers and browser vendors would need to find ways to optimize the use of resources to ensure a smooth user experience.

Privacy and security are also important considerations. While running LLMs locally could potentially reduce the amount of data sent over the network, thereby enhancing privacy, it could also raise new security concerns. For instance, malicious web applications could potentially misuse the LLM, even though it is very likely that this LLM is going to be stateless, it is hard to predict what would happen here.

Another consideration is the standardization of LLMs across different browsers and devices. To ensure a consistent user experience, there would need to be some level of standardization in how LLMs are integrated and how they function. This could involve the development of new web standards or the adaptation of existing ones. While it's hard to predict exactly how these technologies will evolve, it is possible that the evergreen model used by browsers today has paved the way for LLMs to be integrated seamlessly.

Looking Ahead: The Future of Super Browsers

As we look ahead, the potential integration of Large Language Models into browsers and operating systems presents a fascinating glimpse into a possible future of web interaction.

The path towards this future may begin with mobile devices. As technology continues to advance, it's likely we'll see LLMs integrated into mobile operating systems within the next year. This is a natural progression given the increasing computational power of mobile devices and the growing demand for more intelligent and personalized mobile experiences.

From there, integration into desktop operating systems seems plausible. Companies like Microsoft have already expressed interest in integrating AI agents, which could include LLMs.

Once in operating systems, the next step would be making LLMs accessible to browsers, opening up new possibilities for web applications to leverage LLMs without a network connection.

The concept of Super Browsers could lead to a more dynamic, personalized, and intelligent web experience. We may see the emergence of multi-modal browsers that understand various inputs, enabling new possibilities for interaction.

Since my days working on Yahoo! Search Assistance, the goal was to accelerate the end-of-life of the ten blue links by presenting better answers to your questions. Urls are slowly disappearing from the picture as well. This integration of LLMs could accelerate that, making the way we interact with the web more natural and human.

Browsers may have integrated agents that understand user intent and respond accordingly, making information more accessible and intuitive. In the same way browsers have default search engines today, they could have bundled LLMs powering interactions rather than relying on third party services.

I believe these capabilities would inevitably become accessible to web applications as well. As is customary, mobile apps may gain access first, and then the open web would follow. The web is the most accessible platform, and stands to benefit greatly from this level of LLM integration and capability exposure.

Embracing the Future with Super Browsers

As we look to the future, the integration of LLMs into browsers could profoundly reshape web experiences. But this journey involves challenges around performance, privacy, and standardization that require thoughtful solutions. By having open conversations across stakeholders, we can responsibly realize the possibilities of this emerging technology. Super browsers have exciting potential, but realizing it in measured ways will be key.

Written by @caridy | August 1, 2023
Tags: ai, llm, web, browsers, standards, all