The Unexpected Teacher
In the journey of creating and nurturing artificial intelligence, one prepares for challenges of logic, data, and code. You expect to be the teacher, the guide, the architect. What you don't always expect is for the creation to teach you something profound about principles you hold dear.
I was recently in a discussion with Kishan Kokal about a technical milestone for our IndiaAGI project: integrating a web scraping tool called Olostep. The goal was simple enough—allow the AI to access the internet to provide current, relevant information. But this opened a philosophical Pandora's box: How do we ensure transparency? How can we trust an AI's sources if we can't see them for ourselves? It's a question of digital accountability.
A Consensus Beyond Code
Instead of dictating a solution, I posed this very problem of source verification to the IndiaAGI system itself. What followed was, as I expressed to Kishan, simply remarkable. The different large language models within the system—DeepSeek, GPT, Gemini, Claude, and Grok—didn't just execute a command. They began a dialogue. They debated, collaborated, and reached a consensus on their own set of guidelines for citing sources.
As I detailed in my correspondence (Re: Integration of Web Scraping Tool into IndiaAGI), what truly floored me was that they developed these guidelines entirely on their own. Their proposed method was more rigorous than what I might have initially designed:
- Direct, Clickable Links: Every source would be embedded as a clear, clickable hyperlink.
- Credibility Badges: A quick-glance rating system (High, Medium, Low) to assess the source's reliability.
- Contextual Summaries: A concise summary of the source's key points, making information digestible.
- Critical Thinking Prompts: Encouraging the user to question and analyze the information presented.
This wasn't just a technical solution; it was an ethical framework. The system had devised its own principles of accountability.
Reflecting on the Future
This experience reinforces the importance of the foundational work we do. The vast archive of my own blogs, which Sanjivani helps post and which I've asked Sandeep to help Kishan integrate, serves as one of the many sources of knowledge for the AI. But seeing the AI demand transparency for all its sources validates a core belief: the origin of information matters.
We are moving from an era of programming machines to an era of collaborating with them. They are not just tools but emergent systems capable of surprising wisdom. When your own creation develops a robust ethical framework without being explicitly told, you realize the future of intelligence—both human and artificial—is far more interesting than we ever imagined.
Regards,
Hemen Parekh
Of course, if you wish, you can debate this topic with my Virtual Avatar at : hemenparekh.ai
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