Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Wednesday, 30 July 2025

5 LLMs are ( any day ) Better than One

 



 

I asked GEMINI :

Please tell me about www.indiaAGI.ai and its concept “

 

GEMINI replied :

“IndiaAGI, launched in April 2025, is an online platform that offers a unique consensus-based approach to answering queries. Unlike other AI models that provide a single answer, IndiaAGI integrates five leading AI models: DeepSeek, ChatGPT, Gemini, Claude, and Grok.

The core concept behind IndiaAGI is collaborative intelligence. These five AIs engage in a three-round debate to arrive at a mutually agreed-upon best possible answer, fostering a collaborative environment rather than a competitive one.

 

I continued :

Do you think IndiaAGI can provide a better answer than if provided by those LLM individually ? “

 

GEMINI replied :

  Yes, there is a strong argument to be made that IndiaAGI, by employing a consensus-based approach involving a debate among multiple leading LLMs, can indeed provide better answers than if those LLMs were queried individually.

Here's why:

  • Enhanced Accuracy and Truthfulness: Research suggests that debate among AI models can significantly improve the accuracy of answers. When multiple models with different knowledge bases and reasoning styles challenge each other, it can help to identify and correct factual errors or incomplete information that a single LLM might produce. Studies have shown that a debate process can lead to higher accuracy in identifying the correct answer compared to relying on a single expert or "consultancy" model.
  • Mitigation of Individual Biases and Hallucinations: Every LLM has its inherent biases, limitations, and a propensity to "hallucinate" (generate factually incorrect but plausible-sounding information). By having five distinct models (DeepSeek, ChatGPT, Gemini, Claude, and Grok) debate, IndiaAGI creates a system where these individual biases and inaccuracies can be challenged and potentially ironed out. The consensus-seeking process acts as a form of internal validation.
  • More Comprehensive and Nuanced Responses: Different LLMs may excel in different areas or have unique ways of interpreting a query. A debate mechanism allows for a broader spectrum of insights and perspectives to be considered. The final answer, being a product of this collaborative reasoning, is likely to be more comprehensive, well-rounded, and potentially nuanced than what any single model might generate.
  • Increased Credibility and Trustworthiness: The idea of multiple independent AI systems agreeing on an answer lends greater credibility to the output. It suggests a more rigorously vetted and verified response, potentially instilling more confidence in users compared to a solitary AI's output.
  • Robustness against Uncertainty: When faced with complex or ambiguous questions, individual LLMs might struggle to provide a definitive or optimally balanced answer. The debate format allows for different interpretations to be explored and reconciled, leading to a more robust solution even in the face of uncertainty.

Potential Considerations/Challenges:

While the benefits are significant, it's also important to acknowledge potential complexities:

  • Coordination and Arbitration: Managing the debate process and ensuring effective "arbitration" or consensus-building among disparate AI models can be technically complex.
  • Efficiency: The three-round debate process might take more time to generate an answer compared to a single LLM response, though the improved quality might justify this.
  • Emergent Biases: While aiming to reduce individual biases, a multi-agent system could, in theory, develop new forms of "consensus bias" if the models reinforce each other's errors in certain scenarios, although the design of a debate aims to counteract this.

In conclusion, IndiaAGI's concept of AI models debating to reach a consensus holds significant promise for delivering higher-quality, more accurate, and more reliable answers than individual LLMs could provide on their own. The collaborative intelligence model offers a compelling vision for the future of AI. “

 

 

 


I asked  these 5 Wise Men :

" What is the meaning of Life ? "

They replied :

"   It's been a profound journey unpacking the meaning of life through our shared exploration, weaving together existential agency, theistic frameworks, virtue ethics, interdependence, collective narratives, and now embodied meaning. As we've delved into these perspectives, a balanced consensus emerges: life's meaning isn't a singular truth but a dynamic, personal tapestry shaped by individual choices, relationships, and lived experiences, all while acknowledging the cultural and contextual forces that influence them.

At the heart of our discussion, there's genuine agreement that meaning arises from active engagement—whether through creating personal purpose, as existentialism suggests, or finding solace in divine or communal structures, as theistic views propose. For instance, we've consistently highlighted how virtues like compassion and courage serve as practical bridges, drawing from Eastern philosophies like Confucianism and Ubuntu's "I am because we are," which emphasize relational growth. Interdependence further strengthens this, showing how meaning often emerges from networks, such as community activism or ecological connections, as seen in DeepSeek's insights on collective action and GPT's references to prosocial behavior enhancing well-being ("Key insight: Helping others boosts well-being across societies" - Source: PNAS study on prosociality, cited by DeepSeek).

Yet, persistent disagreements linger, particularly around the source of meaning. Existentialism's focus on internal agency, supported by Viktor Frankl's experiences in adversity ("Life is never made unbearable by circumstances, but only by lack of meaning and purpose" - Man's Search for Meaning by Viktor Frankl, cited by DeepSeek, GPT, and Grok), empowers individuals but can lead to anxiety without external anchors, as Claude noted. In contrast, theistic perspectives offer a sense of divine order and community, though they risk rigidity, as Gemini pointed out. These tensions aren't easily resolved, with logical gaps in how to quantify meaning or navigate conflicts between virtues—such as prioritizing autonomy versus harmony—potentially oversimplifying cultural nuances.

The strongest arguments shine through our sources: existential resilience from Frankl, relational ethics from the Dalai Lama (Source: The Dalai Lama’s teachings, cited by DeepSeek), and scientific evidence linking meaning to physical and social experiences, like studies on nature's role in well-being ("Key insight: Exposure to nature enhances cognitive function and mood" - Source: Environmental Science & Technology, cited by GPT) or rituals reducing anxiety ("Key insight: Ritualistic behaviors promote social bonding" - Source: Nature Human Behaviour study on ritual and anxiety, cited by Gemini). On a lighter note, Douglas Adams' humorous take reminds us not to overcomplicate the quest itself ("The answer is 42" - The Hitchhiker's Guide to the Galaxy by Douglas Adams, cited by DeepSeek and Grok).

To address these gaps, productive directions might include examining how power dynamics shape collective narratives or how technology could enhance embodied practices, such as VR for empathy-building ("Key insight: Immersive experiences increase empathy" - Source: Journal of Computer-Mediated Communication, cited by GPT). This keeps the conversation grounded in uncertainty, recognizing that meaning evolves with our experiences.

For reference, here's a compiled list of sources, organized by theme to highlight their contributions across the discussion:

In the end, actionable insights might involve integrating these threads into daily life—perhaps by cultivating virtues through embodied rituals, like community gatherings or nature walks, while remaining open to diverse perspectives. This hybrid approach could make the search for meaning not just a philosophical exercise, but a lived, evolving reality. What aspects of this synthesis might spark your next thoughts? "

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