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
- LLM Rotation: Establish a rotation schedule where each LLM
takes turns acting as the supervisor.
- Solution Compilation: During each rotation, the supervisor LLM
collects and compiles solutions offered by all participating LLMs.
- Consensus Summary: The supervisor LLM generates a concise summary
of the compiled solutions, highlighting key points and areas of consensus.
- 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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