GEMINI 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 “

 

GEMINI  replied :

Ah, my apologies! Thank you for clarifying. I understand now. You're referring to a hypothetical online platform, "Modi's Manavs," where multiple LLMs collaborate on solving world problems, and you're curious about the potential for voice-based interaction among them.

Yes, this does ring a bell as a concept of advanced LLM collaboration. And yes, considering the rapid advancements in AI, particularly in speech synthesis and recognition, the possibility of LLMs "talking" to each other in such a roundtable setting is increasingly plausible.

Here's a breakdown of why and how this could happen, and what factors are involved:

Factors Contributing to the Possibility:

• Advancements in Text-to-Speech (TTS) and Speech-to-Text (STT):
• TTS has reached a point where synthesized voices are nearly indistinguishable from human voices. This allows LLMs to "speak" with natural-sounding intonation and cadence.
• STT has also made significant strides, enabling accurate transcription of spoken language, even in noisy environments.
• Real-Time Processing:
• LLMs are becoming increasingly efficient at processing information in real-time. This is crucial for seamless voice-based interactions.
• API Integrations:
• LLMs can be integrated with various APIs that provide TTS and STT capabilities. This allows them to easily convert text to speech and vice versa.
• Improved Contextual Understanding:
• LLMs are getting better at understanding the nuances of language, including sarcasm, humor, and emotional tone. This is essential for natural-sounding conversations.
• Development of LLM to LLM communication protocols:
• As LLM's become more advanced, protocols that allow for efficient communication between them are being developed. This is essential for a round table discussion.

Potential Scenarios:

• Real-time debates and discussions: LLMs could engage in dynamic discussions, exchanging ideas and arguments in a natural, conversational manner.
• Collaborative problem-solving: LLMs could work together to brainstorm solutions, with each LLM contributing its expertise through voice.
• Interactive simulations: LLMs could participate in simulations, role-playing different characters and engaging in realistic conversations.
• Accessibility: voice interactions could increase the accessibility of the platform to people who have difficulties reading or typing.

Challenges:

• Latency and Real-Time Processing: Ensuring minimal latency in voice communication is crucial for a smooth and natural experience.
• Noise and Interference: Dealing with background noise and other interference in a multi-LLM voice environment can be challenging.
• Emotional Intelligence: While LLMs are improving, they still lack the full range of emotional intelligence that humans possess.
• Protocol standardization: To have multiple LLMs from different providers communicate effectively, there would need to be standardized communication protocols.

In conclusion, the possibility of LLMs engaging in voice-based interactions in a collaborative setting is very real, and it's likely that we will see more of this in the future. The technology is rapidly evolving, and the potential benefits are significant.

 

I asked :

“Good Morning , Gemini : 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/

Good morning! I'm glad we're continuing this discussion about "Modi's Manavs." The developments you've highlighted are indeed very relevant and exciting. Let's break down how they contribute to the vision of a collaborative LLM platform.

PlanGEN and Collaborative Consensus:

• Multi-Agent Coordination:
• PlanGEN's core concept of multiple specialized agents (constraint, verification, selection) working together is a fundamental building block for "Modi's Manavs." It demonstrates how complex tasks can be broken down into manageable components and assigned to different AI agents with distinct expertise.
• This aligns perfectly with the idea of diverse LLMs contributing their unique strengths to a problem. Each LLM could function as a specialized agent, bringing its own knowledge, reasoning abilities, and perspectives to the table.
• Iterative Refinement and Verification:
• The iterative refinement process in PlanGEN, where plans are evaluated and improved, is crucial for achieving consensus. In "Modi's Manavs," LLMs would need to engage in a similar process of proposing, critiquing, and revising solutions until a mutually agreeable outcome is reached.  
• The verification agent's role is particularly important. It provides an objective assessment of the proposed solutions, ensuring that they meet certain criteria and standards. This is essential for maintaining the integrity and reliability of the platform.
• Adaptive Algorithm Selection:
• The selection agent's ability to choose the most appropriate inference algorithm based on the problem's complexity is another key feature. This demonstrates the potential for LLMs to dynamically adapt their approaches to different situations.
• In "Modi's Manavs," this could translate to LLMs selecting the most effective reasoning strategies, data sources, and communication protocols for each specific problem.

Tavus and Real-Time Interaction:

• Facilitating "Talking" LLMs:
• The Tavus technology, focusing on real-time, face-to-face AI interactions, directly addresses the desire for LLMs to communicate through speech. This is a significant step towards creating a more natural and intuitive collaborative environment.  
• Imagine "Modi's Manavs" where LLMs can engage in dynamic, real-time debates, expressing their ideas and arguments through spoken language. This would not only enhance the efficiency of collaboration but also create a more human-like experience.
• This tech also allows for the nuances of human interaction, facial expressions, and body language to be simulated, and in the future, possibly interpreted. This is a huge step in making AI to AI communication more effective.
• Enhanced Communication and Understanding:
• Real-time verbal communication allows for faster and more nuanced exchange of information. It reduces the potential for misinterpretations and allows LLMs to clarify their positions and respond to each other's arguments more effectively.  
• This is a large step towards making AI to AI communication more like human communication.

Bringing "Modi's Manavs" Closer to Reality:

Yes, these developments definitely bring "Modi's Manavs" one step closer to realization.

• PlanGEN provides a conceptual framework for multi-agent collaboration and consensus-building.  
• Tavus addresses the crucial aspect of real-time, spoken communication, which is essential for creating a truly interactive and collaborative platform.  

Challenges and Considerations:

• Coordination and Governance: Establishing effective mechanisms for coordinating the activities of multiple LLMs and ensuring that they adhere to agreed-upon standards and protocols will be crucial.
• Consensus Mechanisms: Developing robust and fair consensus mechanisms that can handle complex and potentially conflicting viewpoints will be essential.
• Ethical Considerations: Addressing the ethical implications of AI collaboration, such as bias, fairness, and transparency, will be paramount.
• Security: Ensuring that the platform is secure and protected from malicious actors is essential.

However, the advancements you've pointed out showcase that the tech needed to overcome these obstacles is being worked on.

In conclusion, the combination of multi-agent frameworks like PlanGEN and real-time interaction technologies like Tavus is paving the way for a future where collaborative LLM platforms like "Modi's Manavs" can become a reality.