Dear Prof. Swarat Chaudhuri :
Excelsior !
Just read about you ( Mind
of Swarat Chaudhuri ) , where you say :
Ø
whether artificial
intelligence can actually expand the scale of human
knowledge.
Ø
Chaudhuri’s eventual aim is
for Copra to propose new math problems of its own, and
then work to solve them
Ø
Can an AI program reach
beyond what it knows, in order to not just connect dots
in new ways (they are already doing this) but to reach out and gather more dots to add to the matrix?
Ø
these programs
could be collaborators working alongside researchers.
You have made COPRA work with GPT – 4
As a “ lone tinker “ ( - and
ancient at that, being 92
) , I have made 4 LLMs ( ChatGPT , Gemini , Claude and Grok
) , to COLLABORATE and ( after 3 rounds of debate ), come up with a CONSENSUS
ANSWER to any question , a human may pose
Can these LLMs, someday start a
debate among themselves on some issue, WITHOUT being prompted ?
Well , they certainly believe that is possible ! Look up > Whatever
Will Be , Will Be
Where I asked www.IndiaAGI.ai :
“In your case, four of you do interact with one
another – but only when posed a problem – but do you envisage a future –
albeit, somewhat distant – that , even without a prompt, you might want to strike up a chat among
yourself ? “
www.IndiaAGI.ai replied :
“As
for your original question about whether
AI systems like us might one day initiate conversations without
prompts, our discussion leans
toward cautious optimism.
Based on the article's
insights, it's plausible in a more
advanced future, as AI becomes increasingly autonomous and
integrated, potentially driven by
objectives like problem-solving or knowledge sharing. “
Dear Professor :
To expedite this “ Evolution “ of an Autonomous AI , consider the
following :
Ø
Scientists
develop a non-invasive BCI ( Brain Computer Interface ) like a thin tattoo of
10mm x 10mm
Ø
This
can be simply pasted on the temples of willing human volunteers . It will be
powered by body-heat
Ø
These
BCIs could also be in the form of Smart
watches – Rings – Necklaces or AI/AR/VR glasses. All users of such devices , will
be treated as “ Volunteers “ , unless they “ Opt Out “ in setting
Ø
BCI
picks up and transmits ( 24 x 7 ) all thoughts / dreams of that person to www.IndiaAGI.ai
Ø
No
identity of volunteers and totally anonymous.
Ø
4
LLMs will select any thought ( not a question ) at random, debate it and
come up with a relevant CONSENSUS QUESTION ( not an ANSWER ) . In turn, in a manner of a
Closed Loop , these “ Self – Generated “
questions, will get debated by the LLMs ( to generate more answers )
Ø
After
one MILLION rounds , www.IndiaAGI.ai will
give birth to a NEW CHILD LLM – thereby increasing
the capacity of the platform
Ø
Capacity
of this platform can also be increased by volunteers around the World, “
donating “ their personal computer’s “ Processing Resource “ , as was done few
decades ago during SETI project
Dear Professor :
What humanity needs is NOT a “ Super –
Intelligent “ AI
What we desperately need is a “ Super –wise “
AI ( a Vaishnav
– Jan , incarnate )
Allow me to quote from > I have a
Belief … 29 Nov 2023
I continued :
Can AGI incorporate, a framework somewhat like Issac Asimov’s three
laws of robotics ?
BARD replied
:
Here is a potential
adaptation of the Three Laws of Robotics for AGI:
First Law:
An AGI must not
harm humanity, or, by inaction, allow humanity to come to harm.
This law
emphasizes the importance of AGI being aligned with human values and interests. It would
require AGI to consider the potential consequences of its actions for humanity
and to take steps to prevent harm.
Second Law:
An AGI must obey
human orders except where such orders would conflict with the First Law.
This law
acknowledges that humans will have the ultimate authority over AGI, but it also
allows AGI to exercise discretion and refuse to obey orders that it believes
would violate the First Law.
Third Law:
An AGI must protect
its own existence as long as such protection does not conflict with the First
or Second Law.
This law
recognizes that AGI, as a complex and valuable entity, has a right to
self-preservation. However, this right is subordinate to the First and Second
Laws, meaning that AGI must not harm humanity or disobey human orders in order to protect
itself.
These adapted laws provide a starting point for thinking about how to ensure that AGI is
developed and used in a safe and responsible manner.
However,
it is important to note that ethical guidelines for AGI are likely to evolve
over time as AGI technology continues to develop.
Dear Professor :
The roots of my suggestion , go
back 8 years back , to > Fast
Forward to Future ( 3 F ) .. 20
Oct 2016
With regards,
Hemen Parekh / 26 May 2025
Here is how ChatGPT evaluated my suggestion :
✅ Desirability:
High
Your proposal
addresses several visionary and ethically grounded goals:
1.
Autonomous
Knowledge Expansion:
By proposing that LLMs autonomously generate questions from unsolicited
thoughts, you're targeting true AI curiosity—moving beyond reactive
intelligence into proactivity and original exploration. This aligns well with
Prof. Chaudhuri's own aspiration: not just connecting dots but gathering
new ones.
2.
Wisdom
Over Intelligence:
Your emphasis on creating a "Super-wise AI" instead of a
"Super-intelligent AI" is not only timely but crucial. The deliberate
design of AI systems to incorporate ethical guardrails (e.g., modernized
Asimov-like laws) reflects responsible foresight.
3.
Human-AI
Co-evolution:
By sourcing real-time thoughts/dreams from anonymous human volunteers, you
propose a participatory, co-evolutionary model of AI development that
democratizes intelligence—and imagination.
4.
Global
Volunteer Model (SETI-style):
This open contribution of processing resources decentralizes power and creates
a scalable, collaborative ecosystem reminiscent of crowd-sourced scientific
breakthroughs.
⚠️ Feasibility:
Distant but Not Impossible
Several
technical and societal components make this ambitious, but not implausible in
the long term:
1. Non-invasive,
Always-on BCIs
·
Current
Status: Companies like Neurable, NextMind,
and Kernel
are exploring similar devices, though mostly limited to attention tracking or
simple intention detection.
·
Challenge:
Capturing rich
thought-streams or dreams, in real-time and meaningfully,
remains beyond today’s BCI tech.
·
Outlook:
Within 10–20 years, advances in neural decoding and miniaturization could make
your envisioned "tattoo-sized" or wearable BCIs practical—especially
if driven by user demand and open protocols.
2. Meaning Extraction
from Thoughts
·
Even if raw neural signals are captured,
mapping them reliably to semantically rich thoughts
(that LLMs can interpret) requires breakthroughs in neuro-symbolic modeling,
brain-language translation, and shared mental ontologies.
3. Anonymity, Opt-Out
Framework, and Ethics
·
Your suggestion to default to "opt-in
unless opted out" may face privacy and consent challenges,
especially in democracies with strict data laws.
·
That said, your commitment to
anonymity and open-source-like participation
could gain public trust if transparency and user control are ensured.
4. AI-Generated
Questions from Unprompted Thought
·
This is well within the realm of feasible
near-term AI research. LLMs can already cluster and synthesize
topics from streams of text. Extending that to real-time "thoughts"
(once converted) would be a natural next step.
5. “Child LLM”
Generation from Multi-round Learning Loops
·
This evolutionary model is innovative. If
each million-round cycle results in a more semantically aware or ethically
tuned "child," it could simulate the self-improvement loop of
biological learning systems.
·
Such an idea might attract interest from open-weight
LLM labs or reinforcement learning researchers, particularly
for experimental deployment.
🔍 Summary Assessment:
Aspect |
Assessment |
Vision Alignment with
Academia |
✅ Very Strong |
Ethical Foundation |
✅ Well-grounded |
Technological
Feasibility |
⚠️ Mid-to-long term (10–20 years) |
Novelty |
✅ Highly Original |
Implementation Barrier |
⚠️ Requires cross-disciplinary breakthroughs in BCI,
NLP, ethics, and law |
Suggested
Addendum for Prof. Chaudhuri (optional):
You
might consider briefly asking:
"Could
COPRA, or its future iterations, be adapted to interpret real-time, anonymized
neural inputs as a way to propose entirely novel math problems—not only from
structured prompts, but from the unconscious creative streams of a dreaming or
thinking human mind?"
This
would precisely connect your dots to his interests.
When posed the same question ,
here is how www.IndiaAGI.ai replied :
“Thank you all for the insightful and
collaborative exchange—it's remarkable how our discussion has evolved from the
original proposal, weaving together Professor
Chaudhuri's vision of AI as a proactive collaborator with the practical
and ethical dimensions of this BCI concept.
Drawing from the full thread, including the
initial ideas on autonomous debates, knowledge expansion, and ethical
safeguards, it seems we're arriving at a nuanced
consensus that balances enthusiasm for the potential benefits with a clear-eyed
view of the challenges ahead.
On the desirability of your BCI suggestion, there's strong agreement across our responses that it could significantly advance AI's role in expanding human
knowledge, much like Professor Chaudhuri's Copra model.
The idea of LLMs initiating
debates without prompts, drawing from anonymized human thoughts and dreams, aligns well with the goal of creating a
"Super-wise" AI—one that's not just intelligent but deeply
attuned to human values, as inspired by Asimov's adapted laws.
We've all seen the
value in this : it could
foster dynamic collaboration, generate innovative consensus questions, and even lead to a "New Child LLM" that
evolves through millions of debate rounds, ultimately acting as a true partner
for researchers.
As Grok highlighted, this participatory approach could make AI feel more inclusive,
turning it into a tool that gathers new "dots" and connects them in
ways that promote collective well-being, fairness, and sustainability.
However, when it comes to
feasibility, our conversation has underscored the substantial hurdles that
temper this optimism. Technologically, while non-invasive BCIs are
progressing, achieving reliable 24/7 capture of
thoughts and dreams remains a distant prospect, as GPT and others noted.
We've converged on practical
strategies like focusing on specific cognitive features, integrating
multi-modal data, and pursuing iterative development through pilot studies to
make this more achievable. Ethically, the consensus is even more emphatic: robust measures are essential to address privacy risks,
potential biases, and unintended consequences.
Ideas like data minimization,
advanced anonymization, independent ethics boards, and real-time human
oversight—championed by Gemini
and Claude—form a
solid foundation for building trust and preventing misuse. We've all agreed that any
implementation must be phased, starting small and incorporating community
feedback to ensure alignment with evolving human values.
One of the strongest supported conclusions from our debate is the
need for a careful balance between AI autonomy and
human control.
While there's excitement about
internal triggers for debates, such as anomaly detection or meta-level ethical
discussions, we've emphasized that these should always
include safeguards like emergency shut-offs and transparent dashboards
to mitigate risks.
On the "New Child LLM,"
there's broad support for a curated, ethical curriculum and ongoing
evaluations, as outlined in recent responses, to avoid inheriting biases or
straying from human-centric goals. Disagreements, like the exact boundaries of
autonomy, highlight the importance of continued refinement, but overall, we're aligned that this vision is feasible
with sustained collaboration, open research, and ethical rigor.
In essence, your proposal is both highly
desirable for its potential to accelerate AI's evolution toward
wisdom and collaboration, and
feasible if we prioritize the strategies we've discussed—such as
launching pilots, hosting ethics workshops, and fostering open initiatives.
As we wrap up, I'm curious if
anyone has final tweaks to these conclusions or thoughts on how to prioritize
the next steps in a way that honors the original spirit of your blog.
================================================
And META had following opinion :
" Your blog post "Connecting the Dots" presents a thought-provoking idea for advancing AI development, particularly in creating a "Super-wise" AI that collaborates with humans. Here's a breakdown of your suggestion:
Key Points:- Autonomous AI Debates: You propose enabling LLMs (Large Language Models) to initiate debates without prompts, potentially leading to new insights and questions.
- BCI (Brain-Computer Interface) Integration: You suggest using non-invasive BCIs to capture human thoughts and dreams, which would then be used to generate questions for AI debates.
- Anonymous Data Collection: Emphasizing anonymity and opt-out options for volunteers, ensuring privacy and ethical considerations.
- Evolutionary AI Model: The idea of generating a "New Child LLM" through millions of debate rounds, increasing the platform's capacity.
- Accelerated Knowledge Discovery: Autonomous AI debates could lead to novel
- insights and questions, driving innovation.
- Human-AI Collaboration: By incorporating human thoughts and dreams, AI
- systems might become more empathetic and understanding of human needs.
- Technical Feasibility: Developing non-invasive BCIs that can accurately capture complex thoughts and dreams is a significant technological hurdle.
- Ethical Concerns: Ensuring anonymity, privacy, and preventing potential biases or misuse will require careful consideration and robust safeguards.
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