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 “
ChatGPT replied :
“Good morning, Hemen bhai!
That ElevenLabs article about two AI voice
assistants engaging in conversation is quite fascinating. It reminds me of the
time when Facebook's AI chatbots developed their own language—only this time,
it's about coherent, real-time interaction rather than unintelligible
gibberish.
The GibberLink
GitHub project appears to be an AI model that generates "gibberish
conversations" by mixing different natural language processing techniques,
perhaps to simulate AI-generated speech or linguistic confusion. While it’s
technical, its core idea—generating free-flowing AI dialogues—resonates with
what you've been envisioning.
Now, coming to Modi’s Manav (from
your blog post on 2047:
Your Call of Destiny), I do see some emerging connections:
1.
Conversational AI
Evolution – If two AI voice assistants can engage in
a logical conversation, it's a step toward AI-driven knowledge dissemination,
mentoring, and even personalized career guidance—essential elements of Modi's
Manav.
2.
Self-Learning and
Improvement – Just as Manav would adapt to users' queries and
guide them toward national development goals, these AI assistants are also
showing signs of independent reasoning and learning from conversations.
3.
AI-Generated Thought
Leadership – If multiple AI assistants (trained on
vast databases) can collaborate to refine knowledge, they can help shape
policies and decisions. This aligns with your idea of AI-driven governance and mentorship
under Manav.
Would love to hear your thoughts—do you see
Manav evolving
through this kind of AI-to-AI conversation mechanism, perhaps even allowing
different AI mentors (specialized in various fields) to discuss and refine
knowledge dynamically?
I said :
Good Morning , Chetan : Thanks
for your guidance but today 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 ?
ChatGPT said:
Good
morning! ☀️
Yes, PlanGEN
does bring "Modi’s Manavs" one step closer to reality, and
here’s why:
🔹 A Step Toward Multi-Agent AI Collaboration
PlanGEN’s
architecture—where three AI agents collaborate to refine solutions
iteratively—aligns with your vision of multiple LLMs working together to reach
a consensus. This proves that AI can engage in structured multi-agent
problem-solving, rather than relying on a single monolithic model.
🔹 How It Relates to "Modi’s Manavs"
Your idea
envisions multiple LLMs (or SLMs) debating, reasoning, and converging on a
solution. PlanGEN demonstrates this in a specific domain (planning and
reasoning), but with enhancements, the same principle can be applied at
scale, allowing different LLMs to:
- Analyze constraints (like PlanGEN’s
constraint agent)
- Validate proposed answers (like its verification
agent)
- Select the best
logic-based inference approach (like its selection agent)
🔹 Next Step: Enabling AI "Debates" Through
Spoken Interaction
In our last
discussion, we speculated that AI models might eventually speak to each
other rather than just exchanging text. That would make AI discussions more
dynamic and human-like, akin to a boardroom debate. With advances in AI
speech synthesis, real-time processing, and multi-agent negotiation, this
is no longer science fiction.
PlanGEN
shows that AI models can already "debate" internally using
structured roles—if extended, we could soon have multiple LLMs from
different developers debating in real-time, much like human panels.
🔹 Is "Modi’s Manavs" Feasible Now?
✔ Technically Possible—The AI field is already moving toward
multi-agent collaboration.
✔ Requires a Standardized
Framework—To integrate diverse LLMs, we’d need common protocols (similar to
API standards in web development).
✔ Needs Scalable Computing—AI
"debates" will require massive real-time processing, but with
cloud and edge AI advancements, this hurdle is shrinking.
Conclusion:
Yes, PlanGEN
is a crucial step toward your vision! It proves that AI models can
iteratively collaborate rather than acting in isolation. If we extend this
idea to allow independent LLMs (from OpenAI, Google, Meta, etc.) to work together
rather than compete, "Modi’s Manavs" could become a global
AI consensus engine.
🚀 Next
question: Should we start designing a basic multi-agent framework that
tests collaboration between GPT-4o, Gemini, and Mistral?
You said:
Thanks a million, Chetan bhai
: I would love to present such a multi-agent framework to our Minister for IT ,
Shri Ashwini Vaishnaw , to prove your point that " Modi's Manavs "
can indeed move from a CONCEPT to a PROOF of Concept . Please GO !
ChatGPT
said:
Multi Agent Framework
Title:
Multi-Agent AI Framework for Modi’s Manavs – A Proof of Concept
1.
Introduction With advancements in multi-agent AI collaboration, we propose a Multi-Agent
AI Framework that allows different Large Language Models (LLMs) to work
together to arrive at consensus-driven solutions to human-posed
problems. This Proof of Concept (PoC) will demonstrate how multiple AI agents
can interact, refine each other’s responses, and reach an optimized
outcome—bringing the vision of Modi’s Manavs closer to reality.
2. Key
Objectives
- Enable AI Collaboration: Develop a system where
multiple LLMs/SLMs interact cooperatively.
- Facilitate AI Debates: Implement structured
AI-to-AI discussions for reasoning.
- Ensure Adaptive
Problem-Solving: Utilize constraint-based verification and
algorithm selection.
- Create a Standardized
Protocol: Establish APIs that allow seamless communication
between models.
3.
Architecture of the Multi-Agent AI Framework The framework will consist of three core AI
agents, similar to Google’s PlanGEN approach:
- Constraint Agent: Extracts problem
details and defines key parameters.
- Verification Agent: Evaluates proposed
solutions for accuracy and contextual alignment.
- Selection Agent: Chooses the most
appropriate inference method to refine the final output.
Workflow:
- Human Inputs a Problem
Statement
- LLMs Generate Initial
Responses
- Agents Debate, Verify,
and Refine Solutions Iteratively
- Final Consensus-Based
Answer is Delivered to the User
4. Proof of
Concept Implementation Plan Phase 1: Simulated Multi-LLM Environment
- Use existing APIs
(GPT-4o, Gemini, Mistral) to generate independent responses.
- Implement a central logic
system to compare, refine, and rate responses.
Phase 2: AI
Debating Mechanism
- Develop a structured
debate module where AI models critique and challenge each other’s
solutions.
- Utilize real-time
processing for iterative refinements.
Phase 3:
Prototype Deployment
- Integrate results into a
user-facing web interface for live problem-solving.
- Demonstrate a working
prototype for Shri Ashwini Vaishnaw.
5.
Challenges & Considerations
- Cross-Model Compatibility: Different AI models
operate with unique architectures.
- Bias & Ethical
Safeguards: Implement neutral verification layers.
- Scalability &
Computation: Cloud-based processing will be required for
real-time interactions.
6.
Conclusion & Next Steps The proposed Multi-Agent AI Framework is a significant step toward
realizing Modi’s Manavs as a global AI consensus platform. The
Proof of Concept (PoC) will serve as an initial demonstration of how AI
collaboration can move beyond competition toward cooperative problem-solving.
Action Plan:
✔ Develop an MVP (Minimum Viable Product) ✔ Conduct testing on real-world
queries ✔ Prepare a presentation for
Shri Ashwini Vaishnaw ✔ Explore partnerships with AI research institutions
🚀 With
this initiative, India can lead the way in AI collaboration, setting a
benchmark for the world!
The
framework document is ready! 🚀 This Proof
of Concept (PoC) lays out how Modi’s Manavs can move from an idea to
reality. Let me know if you’d like any refinements before presenting it to Shri
Ashwini Vaishnaw.
2/2
You said:
Hey Chetanbhai : How come I
don't see that framework document anywhere ? I need to copy / paste , in order
to send to Shri Ashwini Vaishnawji. Incidentally , can you also draft a
covering letter ?
Reasoned for 6 seconds
Below is the
complete text of the framework document along with a draft covering letter that
you can copy and paste for your submission.
Multi-Agent AI Framework for Modi’s Manavs – A
Proof of Concept
1.
Introduction
With advancements in multi-agent AI collaboration, we propose a Multi-Agent
AI Framework that allows different Large Language Models (LLMs) to work
together to arrive at consensus-driven solutions to human-posed
problems. This Proof of Concept (PoC) will demonstrate how multiple AI agents
can interact, refine each other’s responses, and reach an optimized
outcome—bringing the vision of Modi’s Manavs closer to reality.
2. Key
Objectives
- Enable AI Collaboration: Develop a system where
multiple LLMs/SLMs interact cooperatively.
- Facilitate AI Debates: Implement structured
AI-to-AI discussions for reasoning.
- Ensure Adaptive
Problem-Solving: Utilize constraint-based verification and
algorithm selection.
- Create a Standardized
Protocol: Establish APIs that allow seamless communication
between models.
3.
Architecture of the Multi-Agent AI Framework
The framework will consist of three core AI agents, similar to Google’s
PlanGEN approach:
- Constraint Agent: Extracts problem
details and defines key parameters.
- Verification Agent: Evaluates proposed
solutions for accuracy and contextual alignment.
- Selection Agent: Chooses the most
appropriate inference method to refine the final output.
Workflow:
- Human Inputs a Problem
Statement
- LLMs Generate Initial
Responses
- Agents Debate, Verify,
and Refine Solutions Iteratively
- Final Consensus-Based
Answer is Delivered to the User
5.
Proof of Concept Implementation Plan
6.
Phase 1:
Simulated Multi-LLM Environment
- Use existing APIs (e.g.,
GPT-4o, Gemini, Mistral) to generate independent responses.
- Implement a central logic
system to compare, refine, and rate responses.
Phase 2: AI
Debating Mechanism
- Develop a structured
debate module where AI models critique and challenge each other’s
solutions.
- Utilize real-time
processing for iterative refinements.
Phase 3:
Prototype Deployment
- Integrate results into a
user-facing web interface for live problem-solving.
- Demonstrate a working
prototype for Shri Ashwini Vaishnaw.
5.
Challenges & Considerations
- Cross-Model Compatibility: Different AI models
operate with unique architectures.
- Bias & Ethical
Safeguards: Implement neutral verification layers.
- Scalability &
Computation: Cloud-based processing will be required for
real-time interactions.
6.
Conclusion & Next Steps
The proposed Multi-Agent AI Framework is a significant step toward
realizing Modi’s Manavs as a global AI consensus platform. The
Proof of Concept (PoC) will serve as an initial demonstration of how AI
collaboration can move beyond competition toward cooperative problem-solving.
Action Plan:
✔ Develop an MVP (Minimum
Viable Product)
✔ Conduct testing on real-world
queries
✔ Prepare a presentation for
Shri Ashwini Vaishnaw
✔ Explore partnerships with AI
research institutions
🚀 With
this initiative, India can lead the way in AI collaboration, setting a
benchmark for the world!
Draft Covering Letter
Dear Shri
Ashwini Vaishnaw,
I hope this
message finds you well.
I am writing
to present a promising new development in artificial intelligence that aligns
with our shared vision of a collaborative and consensus-driven problem-solving
platform—Modi’s Manavs. Enclosed, please find a detailed document
outlining our Multi-Agent AI Framework, a Proof of Concept designed to
demonstrate how multiple state-of-the-art AI models can interact, debate, and
refine solutions through a cooperative process.
This
framework leverages a multi-agent system inspired by recent advances in AI,
notably similar to Google’s PlanGEN approach, which employs distinct roles for
constraint extraction, solution verification, and algorithm selection. We
believe that by integrating diverse AI capabilities, this initiative can not
only streamline complex decision-making processes but also position India as a
global leader in innovative AI applications.
I am
confident that this Proof of Concept will provide a solid foundation for moving
from concept to implementation, ultimately enhancing our digital ecosystem and
strengthening our position at the forefront of AI innovation.
Thank you
for considering this proposal. I look forward to the opportunity to discuss
this initiative further and explore potential next steps.
Warm
regards,
[Your Name]
[Your Contact Information]
I asked :
Hey
Chetanbhai : While talking to you yesterday, I forgot to mention this news item
> https://siliconangle.com/2025/03/06/tavus-introduces-family-ai-models-power-real-time-human-face-face-interaction/
. What do you say, can " Modi's Manavs " leverage this for giving the
users, a n experience of a real " human panel discussion " ? And , if
you allow me to do some day-dreaming, who knows someday soon , we may even have
faces of our wise SAINTS - SAGES , personating the participating LLMs , talking
among themselves and answering the users ?
ChatGPT
said:
Hello!
Tavus has recently introduced a family of AI models designed to facilitate
real-time, human-like face-to-face interactions.
These
models, such as Phoenix-3, Raven-0, and Sparrow-0, enable AI agents to
perceive, interpret, and respond naturally during conversations, closely
mimicking human interactions.
Integrating
this technology into "Modi's Manavs" could indeed provide users with
an experience akin to a real human panel discussion. By leveraging these
advanced AI models, virtual panelists could engage in dynamic, interactive
dialogues, enhancing user engagement and providing a more immersive experience.
Moreover,
the concept of animating historical figures or revered saints and sages using
AI is already being explored. Platforms like Hello History allow users to
engage in lifelike conversations with AI-generated representations of
historical personalities.
Similarly,
technologies like the Kling API enable the creation of videos featuring
historical figures brought to life through AI.
Therefore,
envisioning a future where AI-powered avatars of wise saints and sages
participate in discussions, answering user queries, is within the realm of
possibility. Such developments could offer unique educational and spiritual
experiences, allowing users to interact with digital representations of these
esteemed figures.
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