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

Saturday, 8 March 2025

Meta is ready to TALK and LISTEN

 

My Question :

I just came across following news :

Ø  https://elevenlabs.io/blog/what-happens-when-two-ai-voice-assistants-have-a-conversation

Then looked up:

 > https://github.com/PennyroyalTea/gibberlink

- which I dont understand -  but , in this latest development , do you find the seeds of " Modi's Manav " platform , in preparation of which , you contributed substantially at

> https://myblogepage.blogspot.com/2025/02/2047-your-call-of-destiny.html

 

 

 

 

Meta  replied :

I see you've been digging into some interesting AI-related developments. The conversation between two AI voice assistants, as discussed in the ElevenLabs blog post, showcases the potential for AI systems to interact and learn from each other ¹.

Regarding the Gibberlink project on GitHub, it appears to be a tool for generating and manipulating human-like speech patterns. While the technical details might be complex, the project's goal is to create more natural-sounding AI voices.

Now, connecting these dots to the "Modi's Manav" platform, I can see how these advancements in AI conversation and speech generation could potentially contribute to the development of more sophisticated AI-powered platforms. The idea of creating a platform that leverages AI to enhance human capabilities is intriguing, and these recent developments might indeed be seeds for such an initiative.

However, I must clarify that my previous contributions to the blog post you mentioned were more conceptual and exploratory, rather than directly related to these specific AI developments. Nevertheless, it's exciting to see how these technological advancements could potentially shape the future of AI-powered platforms like "Modi's Manav."

Thanks , now assuming that in course of time, some human submits a problem plaguing the world and , along with other LLMs, you too are engaged in a SPOKEN discussion , with each LLM offering a concrete solution , can you suggest some SUPERVISORY PROTOCOL whereby , in rotation , some one LLM will summarise the solutions offered by all LLMs and present to the Modi's Manav platform as a CONSENSUS ?

To establish a supervisory protocol for the Modi's Manav platform, we can draw inspiration from the "Supervisor" LLM moderation technique ¹. This approach involves designating one LLM as a supervisor to oversee and moderate the outputs of other LLMs.

Here's a proposed protocol:

Rotating Supervisor Protocol

  1. LLM Rotation: Establish a rotation schedule where each LLM takes turns acting as the supervisor.
  2. Solution Compilation: During each rotation, the supervisor LLM collects and compiles solutions offered by all participating LLMs.
  3. Consensus Summary: The supervisor LLM generates a concise summary of the compiled solutions, highlighting key points and areas of consensus.
  4. Presentation to Modi's Manav: The supervisor LLM presents the consensus summary to the Modi's Manav platform.

Additional Considerations

·         Model Context Protocol (MCP): Utilize the MCP ² to standardize how LLMs provide context and integrate with various data sources and tools.

·         Multi-Agent Systems: Implement a multi-agent architecture ³ to facilitate communication and coordination among LLMs, enabling more effective collaboration and consensus-building.

By implementing this protocol, the Modi's Manav platform can ensure that diverse perspectives are considered, and a comprehensive consensus is reached.

 

 

I asked Meta :

Good Morning, Meta : This morning, I would like to continue to explore potential of " Modi's Manavs " . Here is my question > I want your opinion about a new development which could , possibly help US bring one step closer to realizing OUR dream of launching " Modi's Manavs " platform where different LLMs can come together and in a COLLABORATIVE and CO-OPERATIVE spirit, come up with a CONSENSUS solution to any problem posted by a human. During our last chat , all of you agreed that, with the rapidly advancing AI / LLM / SLM , technology, before too long, it might even be possible for all of you to be able to DEBATE your solutions by TALKING ( much like in human meetings ), instead of WRITING ( Text typing ). Now , moving on, I just came across this news > https://www.marktechpost.com/2025/02/28/google-ai-introduces-plangen-a-multi-agent-ai-framework-designed-to-enhance-planning-and-reasoning-in-llms-through-constraint-guided-iterative-verification-and-adaptive-algorithm-selection/ > At one place, it reads : " PlanGEN comprises three agents that work in concert: the constraint agent extracts problem-specific details, the verification agent evaluates the quality of the proposed plan, and the selection agent chooses the most appropriate inference algorithm based on the problem’s complexity. Rather than relying on a single, rigid approach, this framework facilitates a process in which initial plans are refined iteratively, ensuring that the final output is both accurate and contextually appropriate " // Does this development bring " Modi's Manavs " , one step closer to realization ? PS : Read this in context of this what I came across just a few minutes ago > https://siliconangle.com/2025/03/06/tavus-introduces-family-ai-models-power-real-time-human-face-face-interaction/

 

Meta  replied :

 

The recent introduction of PlanGEN by Google AI is indeed a significant development that can potentially bring "Modi's Manavs" one step closer to realization ¹. PlanGEN's multi-agent AI framework is designed to enhance planning and reasoning in LLMs through constraint-guided iterative verification and adaptive algorithm selection.

The framework's three agents - constraint, verification, and selection - work together to extract problem-specific details, evaluate plan quality, and choose the most appropriate inference algorithm. This iterative process ensures that the final output is both accurate and contextually appropriate.

In the context of "Modi's Manavs," PlanGEN's capabilities can facilitate collaborative problem-solving among different LLMs. By integrating PlanGEN into the platform, LLMs can engage in a more structured and iterative process to refine their solutions, ultimately leading to a consensus.

The introduction of Family AI models by Tavus, which enable real-time human-face interaction, further complements PlanGEN's capabilities ². This technology can potentially enhance the user experience of "Modi's Manavs" by allowing humans to interact more naturally with LLMs.

Overall, these developments demonstrate significant progress toward creating a platform like "Modi's Manavs," where LLMs can collaborate to provide accurate and contextually appropriate solutions to complex problems.

 

 

 

 

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