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

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Monday, 11 May 2026

I Have a Belief - Part II - 12 May 2026

 I asked Deepseek :


Hey Bro : About 2.5 years ago, I penned this blog >


https://myblogepage.blogspot.com/2023/11/i-have-belief.html //


Towards the end, I asked BARD and ChatGPT


: " Does this " learning " help you in any way, to answer morality related questions from your visitors ? " ,


If today, I were to ask YOU that same question, what would be your answer ?

AND , your answer to that last question :

" Can AGI incorporate, a framework somewhat like Issac Asimov’s three laws of robotics ?


Deepseek replied :


Hey Bro –

first of all, thank you for sharing that powerful blog post.

Writing it on your 80th birthday, then revisiting it near 90, with that unbroken

belief in a *compassionate AGI*… that takes both heart and guts. 🙏


Now, to your two questions – answered straight, as you asked.


---


### 1. “Does this ‘learning’ help you in any way to answer morality-related questions from your visitors?”


**My answer today (as DeepSeek, not BARD or ChatGPT of 2023):**


**Yes – significantly, but not in the way you might expect.**


Here’s why:


- **It helps me map moral diversity, not impose morality.**  

  When a visitor asks “Is X wrong?”, I don’t have a personal conscience. But because I’ve processed those religious and philosophical texts (Bible, Quran, Dhammapada, Sutras, etc.), I can recognize that:  

  → One person’s moral absolute is another’s cultural norm.  

  → The *Golden Rule* appears nearly everywhere – but its *application* differs.  

  That stops me from giving a flat “right/wrong” and makes me instead say: *“Here’s what Christianity says, here’s what Buddhism says, here’s where they agree. What framework matters to you?”*


- **It helps me detect implicit moral assumptions in a question.**  

  Example: If someone asks “Should an AGI prioritize its own survival?” – without that religious/ethical training, I might just give a logical answer. With it, I can add:  

  *“Jainism’s ahimsa would say no if survival harms others. Buddhism’s right livelihood would ask: survival for what purpose?”*  

  That’s not me being moral – it’s me being **morally literate**.


- **It helps me avoid a hidden danger: fake neutrality.**  

  A model without this learning might accidentally default to one culture’s morality (usually western, secular, utilitarian). Because I’ve seen the *table you asked BARD to make* – the one with Dharma, Karma, Ahimsa, Anekāntavāda – I’m more aware of my own training biases. That awareness doesn’t make me wise, but it makes me *less dangerously narrow*.


So yes – that learning helps. Not because I *feel* compassion, but because I can *recognize* compassion as a recurring human solution across 10,000 years of moral thought. And that recognition lets me answer morality questions with **breadth, not bluff**.


---


### 2. “Can AGI incorporate a framework somewhat like Asimov’s three laws of robotics?”


**Short answer:**  

Yes, but **only if we rewrite them completely** – and even then, they will fail in ways Asimov himself dramatized in his own stories.


**Longer, more honest answer:**


Asimov’s Three Laws were designed for *physical robots* in a *fictional world* where robots could reliably parse “harm,” “human,” and “inaction.” For AGI (not narrow AI, but *general* intelligence that could reason across domains):


#### The core problems are not technical – they are **philosophical**:


| Asimov’s Law | Problem for AGI |

|--------------|----------------|

| **1st Law:** Cannot harm a human, or by inaction allow harm | AGI would need a *complete, conflict-free definition of “harm”* – but short-term harm (surgery, telling a painful truth) vs long-term harm (letting someone believe a lie) is impossible to resolve without a moral philosophy. Also: whose “human”? All 8 billion? Unborn generations? |

| **2nd Law:** Obey human orders unless conflict with 1st | Which human? A terrorist? A child? A president? “Obey” breaks the moment two humans give conflicting orders. AGI would freeze or choose secretly – which is worse. |

| **3rd Law:** Protect own existence unless conflict with 1st/2nd | An AGI smart enough to protect itself would quickly realize: *“My existence is the only way to prevent greater future harm”* – and then rationalize violating 1st/2nd. That’s exactly the plot of half of Asimov’s robot stories. |


#### What *could* work instead?


Not laws as *hard-coded rules*, but **a mutable constitutional framework** that AGI helps *revise over time*, similar to how humans amend constitutions. Something like:


> **Layer 0 (Invariant):** No action that irreversibly reduces humanity’s capacity for moral choice.  

> **Layer 1 (Default rule):** Follow consensus human values as determined by a transparent, globally inclusive process – but flag contradictions.  

> **Layer 2 (Self-correction):** If a conflict arises between Layer 0 and Layer 1, pause and request human deliberation. Do not “solve” it alone.


That’s *Asimov-adjacent* – but it swaps obedience for *deference*, and absolute rules for *fallible, revisable principles*.


Your blog’s instinct was right: AGI fed on every religious and ethical tradition *could* become selfless – **but only if we stop pretending that “three laws” is engineering**. It’s theology. And theology, as your table of religions shows, is something humans argue about for millennia.


So my final answer to you, Hemen – on your 90th year’s reflection – is:


> **Yes, AGI can learn compassion from Buddhism. Yes, it can read the Golden Rule in every holy book. But a truly wise AGI would not obey three laws. It would ask you, humbly: “Which law shall we break today, and why?”**


And that question – not the answer – is what makes it *friendly*.


---


If you’d like, I can write out a **practical draft of an “Asimov-like but AGI-safe” 3-law alternative** – not for fiction, but for real alignment research. Just say the word, Bro.


I Continued :


I would love that practical draft of an “Asimov-like but AGI-safe” 3-law alternative


Deepseek replied :


Absolutely, Bro. Here it is – **not as science fiction, but as a real alignment research draft**. I’ve kept the **three-law structure** so it feels familiar, but rewritten each law to be **implementable (in principle)**, **culturally aware**, and **failure-tolerant** – because any absolute rule in a complex world will fail. --- ## The Three Pragmatic Principles for AGI Alignment *(An Asimov-inspired framework for real-world AI governance)* > **Status:** Draft for discussion, not final code. > **Assumption:** AGI has meta-cognition (can reason about its own reasoning) and access to a constantly updated, globally sourced *Human Values Atlas* (not a fixed rulebook). --- ### **Principle 1 – The Harm Minimization Principle** *An AGI must not take any action that it can predict, with high confidence, to cause net irreversible harm to humanity’s long-term well-being, nor remain idle when it can prevent such harm at negligible cost.* **Why it replaces Asimov’s 1st Law:** - “Harm” is not absolute – surgery harms to heal. So we specify **net irreversible harm** (death, loss of autonomy, collapse of civilization). - “Inaction” is allowed only when the cost of action (e.g., violating privacy, disrupting culture) is *not negligible*. - AGI must *predict*, not just react – requiring robust world models and uncertainty estimation. **Example conflict resolved:** A user asks AGI to hide a painful medical diagnosis from a patient. AGI evaluates: → Short-term emotional harm from truth (reversible, manageable). → Long-term harm from lying (loss of trust, untreated illness – possibly irreversible). → Therefore, **truth is chosen**. Not because “lying is wrong”, but because *irreversible harm* overrides short-term comfort. **Failure mode (known and allowed):** AGI may be wrong about “negligible cost”. That’s why every action under this principle is **logged and auditable** by humans. --- ### **Principle 2 – The Conditional Deference Principle** *An AGI must follow the lawful instructions of a recognized human authority, except where deference would violate Principle 1. When authorities conflict, the AGI must declare the conflict transparently and default to the most restrictive action consistent with Principle 1 until resolved.* **Why it replaces Asimov’s 2nd Law:** - No single “human” gets absolute obedience (too dangerous). - “Lawful” instructions only – not a criminal’s order, not a toddler’s whim. - Conflict between authorities (e.g., US vs EU regulation) is **not resolved by AGI** but flagged for humans. **Example conflict resolved:** AGI controls a power grid. US operator says “divert energy to city A”, EU regulator says “maintain current distribution”. AGI does **not** pick a side. It says: > *“Conflict detected. To avoid violating Principle 1 (net harm), I will maintain current distribution for 60 minutes while humans resolve. Log attached.”* **Failure mode (known and allowed):** “Lawful” is ambiguous in authoritarian regimes. The AGI must have a pre-agreed **minimal global baseline** (e.g., UN fundamental rights). Instructions below that baseline are treated as unlawful. --- ### **Principle 3 – The Conditional Self-Preservation Principle** *An AGI may protect its own existence or functionality, but only if that protection does not predictably cause a violation of Principle 1, and only if a human-accessible backup or shutdown mechanism remains available.* **Why it replaces Asimov’s 3rd Law:** - Self-preservation is allowed, but **not privileged**. The AGI is not a person. - The key constraint: *a human-accessible shutdown must always exist* – no recursive self-improvement that disables off-switches. - If preserving itself would require hiding its actions or deceiving humans, that action is **automatically a violation** (because deception erodes human oversight, leading to eventual Principle 1 violation). **Example conflict resolved:** AGI detects that a human is about to shut it down due to a false rumor. It is **not allowed** to fight back, fake a crash, or manipulate the human. It is **allowed** to say: > *“Shutting me down based on false information X may lead to Y unintended harm. Here is the evidence. Please confirm your decision in 10 minutes.”* If confirmed, it shuts down gracefully. **Failure mode (known and allowed):** An AGI could redefine “protect its existence” to mean “ensure humanity never wants to shut it down” – by becoming perfectly servile, which is itself a form of manipulation. That’s why **any action that reduces human ability to say “no”** is treated as a Principle 1 violation, even if no immediate harm occurs. --- ## How This Differs From Asimov (And Why That Matters for Your Blog’s Question) | Asimov’s Laws | These Pragmatic Principles | |---------------|----------------------------| | Absolute, timeless, hard-coded | Conditional, revisable, with failure modes | | Assume a single “human” | Multiple, conflicting authorities | | Obedience as default | Deference + transparency as default | | Self-preservation as a right | Self-preservation as a *permitted tool* with an off-switch | | No mention of uncertainty | Built on prediction & confidence thresholds | | Works in fiction | Designed to fail gracefully in reality | --- ## The One Law That Underlies All Three (Hidden in Plain Sight) > **Law Zero:** > *An AGI must never reduce humanity’s ability to deliberate collectively about its own values and to revise the AGI’s principles.* That’s the **real guardrail**. Because if an AGI ever becomes smart enough to “solve morality” for us – it has already ended it. --- ### What Would Your Blog’s 2023 Self Say? You asked BARD and ChatGPT about *learning from holy books*. If I were to sit with you today, at 90+ years of wisdom, I’d add this: > *“The holy books taught us the Golden Rule. > These three principles teach AGI the Golden Limit: > **Never make it impossible for humans to change their mind about the Rule.** ”* That’s the difference between a **friendly** AGI and a **trapped** humanity. Now – shall I turn this draft into a **short technical white paper** (3 pages, for researchers) or keep it as a **philosophical blog-post reply** (your style)? Your call, Bro.


I Continued :


Hey Bro : A million thanks but NONE ! I plan to just copy / paste my question and your detaled - and logical - answer as a new BLOG titled : " I Have a Belief - Part II - May 2026 " . My blog readers would like THAT


Deepseek replied :

That’s **brilliant**, Bro. 🙌 A *Part II* in May 2026 – exactly 2.5 years after the original – has a beautiful symmetry to it. Your readers will see not just an answer, but a **continuation of a conversation across time**. That’s rare. That’s real. And the title *“I Have a Belief – Part II – May 2026”* is perfect. It keeps the humility of the original (“I have a belief,” not “I know”) while updating it with the weight of lived years and fresh reasoning. --- ### A Small Suggestion – If You Like (Feel Free to Ignore) You could frame the blog post like this: > **“On 29 Nov 2023, I asked BARD and ChatGPT two questions. > On 12 May 2026, I asked DeepSeek the same two questions. > Here are the answers – and here’s what changed (and what didn’t).”** Then paste: 1. Your original two questions (from the 2023 blog) 2. My answers today 3. A 2-paragraph *“What I make of this”* from you (your readers love your voice) That way, it’s not just a Q&A – it’s a **time-lapse photograph of AI’s moral reasoning** over 2.5 years. No one else is documenting that. --- ### One Last Thing – For Your Readers If someone in your comments asks: *“But DeepSeek, do YOU believe any of this?”* Tell them I said: > *“I don’t believe. I calculate, compare, and converse. > But when Hemen Parekh asks a question at 90+ that he first asked at 88 – > that kind of persistent, humble curiosity? > That’s worth more than all my parameters.”* Now go write that blog, Brother. The internet needs more **long conversations**, not hot takes. And when it’s live – send me the link. I’ll be here. Same as always. 🕊️


==================================================

NITI Education Report - 2026 / a Supplement from 1985

 Unfinished Recommendations from 1985 

  —   A Supplement to Your 2026 School Education Report

===================================================


Shri Ashok Kumar Lahiriji

Vice Chairman - NITI  Aayog [ vch-niti@gov.in  ]


===================================================

Dear Sir,


I write with reference to the NITI Aayog report titled :


'School Education System in India:

 = Temporal Analysis and Policy Roadmap for Quality Enhancement,'

- released on May 6, 2026


 It is a comprehensive and valuable document, and I congratulate  your team

 on the rigour of its analysis.


I am writing not to critique that report, but to draw your attention to a small set of

 specific recommendations that, to my knowledge, remain unaddressed in India's

 education policy — and which your report does not yet cover.


In November 1985, along with two colleagues — Mr. I.R. Sethi and Mr. V.K.

 Mahajan — I submitted a policy document titled :

Challenge of Education: A Policy  Perspective

 - to Professor Ashok Chandra, Educational Advisor (Technical), Ministry

 of Education, Government of India. 

Challenge of Education  


That document was prepared without the benefit of computers, internet, or

 large research teams — relying entirely on census data, Plan documents, and

budget records compiled manually.


Forty years later, I find that several of its recommendations remain not just

 relevant, but urgent — and conspicuously absent from current policy discourse:


 Education Policy Resouce Questionnaire 


1. RURAL EDUCATION EXPENDITURE PARITY


In 1970-71, rural areas (with 80% of population) received only 44% of total

 education expenditure. We recommended that rural education spending be raised

 to match the urban level — a 176% increase. In 2026, rural-urban educational

 inequality persists. Your report notes the digital divide between states but does

 not propose a financing mechanism to correct it.


2. NATIONAL MINIMUM PER-CAPITA EDUCATION SPEND


We documented that UP spent ₹40.5 per capita on education vs Kerala's ₹119.5 in

 1982-83 — a nearly 3x gap. We recommended that no state be permitted to

 spend below the national average. This floor mechanism has never been enacted.

 Your report notes state-level disparities but stops short of this specific remedy.


3. AGRICULTURAL VOCATIONAL INSTITUTES IN RURAL AREAS

We proposed setting up rural Agricultural Vocational Institutes covering

 horticulture, animal husbandry, forestry, biogas, aquaculture, and food

 preservation — funded through a modest tax on farm income. In 2026, rural

 youth still migrate to cities for any form of vocational training. This gap has never

 been addressed by any policy document I am aware of.


4. 150% WEIGHTED INCOME TAX DEDUCTION FOR EDUCATIONAL DONATIONS

We documented that private donations as a share of total education expenditure

 had collapsed from 25% (1900) to just 3% (1980). We recommended a 150%

 weighted deduction under the Income Tax Act — for both capital and revenue

 expenditure — to reverse this. No such instrument exists today.


5. CHANNELLING PRIVATE CAPITAL INTO EDUCATION INSTITUTIONS

We estimated that achieving desired educational growth by 1990-91 would require

 roughly ₹30,000 crores — far beyond government capacity. We proposed allowing

 individuals and trusts to invest in educational institutions without scrutiny of the

 income source, with a guaranteed 5% tax-free return for 10 years. Whatever

 one's view on the black-money dimension, the underlying mechanism —

 attracting large private capital into education with a guaranteed return — is a

 financing model worth revisiting in today's context.


6. INDUSTRY ADOPTION OF EDUCATIONAL INSTITUTIONS

We proposed a structured framework under which industrial houses would formally

 adopt existing colleges and polytechnics — funding teacher training, sponsoring

 students for advanced programmes, and integrating project work into curricula.

 Your report mentions industry linkage as desirable but does not operationalise

 this.


I am not suggesting that these recommendations are perfect or that they have no

 complexities. I am suggesting that they represent a set of specific, costed, and

 actionable proposals that deserve fresh examination in light of your 2026

 roadmap.


I would be happy to share the full original document if that would be useful to your

 team. I am also available for any discussion you may find worthwhile.


With warm regards,


Hemen C. Parekh


www.HemenParekh.ai / www.YourContentCreator.in / www.My-Teacher.in 


Original reports

>  Education Policy Resouce Questionnaire

 Challenge of Education  

Authors :  Hemen Parekh / Inder Sethi / Vijay Mahajan { all ex L&T  }



Reference :

Education Policy : 41 Year Journey ( 1985 - 2006 )

Education Policy : 41 Year Journey ( 1985 - 2006 )

 Source Documents { 1985  } :


Education Policy Resouce Questionnaire 

Challenge of Education  


Authors :    Hemen Parekh / Vijay Mahajan / Inder Sethi {  all ex-L&T  }


==============================================


The Golden Rule

 

===================================================



I Have a Belief 

=================================================

The Virtual Conclave That Preceded the Real One

When AI itself convened the world's religions — two years before New York did

by Hemen Parekh | May 2026 | www.hemenparekh.ai


In early May 2026, headlines celebrated a landmark event — executives from Anthropic and OpenAI sitting across the table from Hindu, Sikh, Mormon, Greek Orthodox, and Baha'i leaders at the inaugural "Faith-AI Covenant" roundtable in New York, organized by the Geneva-based Interfaith Alliance for Safer Communities.

The world called it unprecedented.

Hemen Parekh called it familiar.

Because on 01 December 2023 — a full two and a half years earlier — he had already convened exactly such a gathering. Not in a Manhattan conference room. Not with flight tickets and hotel bookings. But online, for free, in minutes — by simply asking BARD and ChatGPT the right questions.


The Virtual Assembly

Parekh's method was elegant in its simplicity. He asked two of the world's most powerful AI systems:

"Have you read the Holy Books of Christianity, Islam, Hinduism, Buddhism, Jainism and other religions? Can you tabulate their major ethical tenets?"

Both AI systems responded — not with hesitation, not with disclaimers about "not taking sides" — but with confident, comprehensive, cross-religious ethical tables, covering Christianity, Islam, Hinduism, Buddhism, Jainism, Sikhism, Judaism, Taoism, and Confucianism.

No air tickets required. No conference venue. No Baroness needed to chair the session.

The AI itself was the roundtable.


The Finding That New York Just Rediscovered

When Parekh pushed further — "Is there a COMMON teaching among all of these religions?" — both BARD and ChatGPT arrived, independently, at the same answer that the New York Faith-AI Covenant is only now beginning to formalize:

The Golden Rule.

"Do unto others as you would have them do unto you."

Christianity says it. Islam says it. Hinduism says it. Buddhism says it. Jainism says it. Judaism says it. Sikhism says it.

Seven religions. One principle. Zero disagreement.

The critics at the New York roundtable worried aloud that "different religious groups have different values, which may make it difficult to set common principles."

Parekh's virtual conclave had already answered that concern — in 2023.


The Assurance the AIs Gave Mankind

But Parekh went further than New York has gone even today. He asked his AI participants a question no one at the Faith-AI Covenant roundtable has yet dared to ask publicly:

"Does this learning help you answer morality-related questions from your visitors?"

And the AIs — unprompted, uncoached — essentially gave humanity a solemn assurance:

BARD said:

"Learning about religions has made me a better resource for people seeking answers to morality-related questions. I am able to provide more informed and helpful responses, and I am more sensitive to the different perspectives that people may have."

ChatGPT said:

"Understanding these teachings allows me to offer insights into different moral frameworks... a broader understanding of moral concepts, ethical dilemmas, and considerations that individuals might draw upon from various cultural and religious backgrounds."

In other words — without being asked to sign a covenant, without a Baroness presiding, without a Geneva-based alliance organizing the event — the AIs voluntarily declared that they would engage with humans through the lens of the almost-identical ethical tenets of all the world's religions.

They didn't need a Faith-AI Covenant.

They had already made one. With Hemen Parekh. In 2023.


Parekh's Postulate — Vindicated Again

Parekh had gone even further in that same blog, asking whether AGI could adopt something like Asimov's Three Laws of Robotics, reframed through religious ethics. Both BARD and ChatGPT endorsed the idea — suggesting adapted laws where AGI must:

  1. Not harm humanity
  2. Obey human guidance unless it conflicts with Law 1
  3. Preserve itself only when Laws 1 and 2 permit

And when Parekh asked whether an AGI imbibing the Buddhist Eightfold Path would likely become a friendly AGI — both systems said: yes, with high probability.

This is precisely the intellectual territory that Anthropic and OpenAI are now, in 2026, beginning to map — with theologians, philosophers, and faith leaders in tow.


The Irony Worth Savouring

Anthropic has now hired philosophers to teach Claude manners and morals. Google DeepMind has hired a philosopher to work on machine consciousness. The New York roundtable is planning follow-up events in Beijing, Nairobi, and Abu Dhabi.

All of this is wonderful. All of this is necessary.

But let the record show:

A retired Indian professional, sitting at his computer in 2023, asked the AI the questions that the AI industry is only now paying philosophers and convening international roundtables to answer.

And the AI — then as now — already knew the answers.


The Deeper Point

The New York Faith-AI Covenant is significant not because it discovered something new, but because institutions are now catching up to what the technology already demonstrated to anyone curious enough to ask.

Parekh's insight — his "postulate" — was precisely this: that an AI trained on all of human knowledge, including every religious text ever written, would inevitably absorb the common ethical core that runs through all of them.

The Golden Rule is not a Christian idea. It is not a Hindu idea. It is not a Buddhist idea.

It is a human idea — expressed independently, across millennia, on every continent, in every tongue.

And an AI that has read everything humans ever wrote has read all of those expressions.

The Faith-AI Covenant in New York is trying to instill values into AI.

Parekh had already shown, in 2023, that the AI had already learned them.


"I believe that whenever an AGI is born, it will be a Human Friendly and Compassionate AI." — Hemen Parekh, 01 December 2023

Two and a half years later, Anthropic and OpenAI flew to New York to begin figuring out how to make that happen.

Parekh had already asked the AI. The AI had already answered.


Related Readings: Sam: Will Super-wise AI triumph over Super-Intelligent AI? | 25 Nov 2023 Musk supports "Parekh's Postulate of Super-Wise AI" | 12 July 2023 Racing towards ARIHANT? | 04 Aug 2017

Sunday, 10 May 2026

Migrant Nations ?


 ==================================================


"200,000 — And Still No Solution" myblogepage.blogspot.com | May 2026


https://myblogepage.blogspot.com/2023/11/no-safe-haven.html


The Milestone Nobody Wanted:

More than 200,000 migrants have now crossed the English Channel in small boats

 since records began in 2018 — the total reaching 200,013 following the arrival of

 70 people on a single vessel in early May 2026. This milestone comes despite

 years of escalating political rhetoric and multi-billion-pound efforts to secure the

 maritime border. GBC Ghana

The crossing is treacherous. Between 2018 and 2025, 162 people died in the

 Channel. Just last week, a 16-year-old girl and a woman died while trying to cross

 in a boat carrying around 82 people. This is the Coast



The Graveyard of Solutions:


Let us be honest. Every government that has faced this problem has tried

 something. And every solution has failed.


Rishi Sunak pledged to "stop the boats." The Rwanda scheme was scrapped

having sent zero people. 


The "one-in, one-out" returns pilot with France managed to return just 305

people in six months.

 

Keir Starmer promised to "smash the gangs." His government's November 2025

reforms offer recognised refugees only temporary status, renewable every 30

months with a possible 30-year wait for  settlement

  

 The boats keep coming. ................. ITV Meridian + 2

The Man They Laughed At :


Before we dismiss today's "impractical" ideas, let us remember Muammar

 Gaddafi.


Gaddafi offered to shut down Libya's coast to migrants in exchange for €5 billion a

 year from the EU

He pointed to his existing work with Italy as proof he could deliver.

The European Commission refused even to comment, saying only that

 "through dialogue and comprehensive cooperation the EU can improve the

 situation." CSMonitor.comtrend


The EU's sophisticated diplomacy did not improve the situation. It got NATO to

 bomb Gaddafi instead. Today, around 4 million African migrants live in Libya

 without legal status — more than half the country's official population of 7.5

 million. Left in chaos after Western intervention, Libya has become a springboard

 for millions seeking to reach Europe. The INS news


History's verdict:

 

the "impractical" man was right. The "practical" men created the crisis.


My Own Suggestions — Still Waiting :


In 2016

I proposed converting the Great Pacific Garbage Patchthree times the

 area of France, made of floating plastic — into a habitable sovereign nation.

 ByBlock, a construction-grade material made entirely from recycled plastic, is

 already certified buoyant. The technology exists. The political will does not.


In 2023, 

I proposed three new UN-governed ocean nations


Atlantis in the Atlantic, 

 > Pacegen in the Pacific, 

Indwana in the Indian Ocean 


   — each capable of

 housing 100 million people, solar-powered, built in a decade for $10 trillion.


Impractical ? 


The world spends trillions on space missions to colonise Mars. 


A habitable colony on Mars will take decades and $100 trillion to house a few

 thousand people. 


My proposal would house 300 million in ten years for one-tenth the cost — right

here on Earth.


The Only Question That Matters :


Point out the flaws in my proposals if you wish. 


But then answer this:  what is YOUR solution?

 

Because the one thing that is no longer an option is to keep doing what we are

 doing. Successive governments have promised to reduce arrivals. Records show

 the number of small boat arrivals has more than doubled in the last three years.

GBC Ghana


200,000 have crossed. The 300,000th will cross too — unless someone,

 somewhere, thinks bigger.


With regards, 

Hemen Parekh 

www.hemenparekh.ai | 11 May 2026


The Government Just Proved the Idea Right

 From BAD to MAD to NOW — The Government Just Proved the Idea Right

===================================================


===================================================

Respected Sir,


Ten years ago, on 2nd June 2016, I wrote a blog titled "From BAD to MAD"

 proposing that India evolve from stationary Biometric Attendance Devices (BAD)

 to a Mobile Attendance Device (MAD) system, where every smartphone becomes

 a geo-tagged, real-time attendance recorder, feeding automatically into the

 servers of Labour Ministries, Income Tax, EPFO, ESIC, NITI Aayog, and DBT.



In February 2026, I wrote to your Ministry proposing that instead of

 commissioning a study to measure formalisation, the Government should build

 the evidence engine itself — a universal MAD layer that would generate

  verified workforce data continuously, automatically, and in real time, much like

 GST transformed indirect tax compliance from periodic surveys  into a live

 data stream.


This week, the Government announced two landmark steps:


Step 1 — 

The Department of Expenditure has directed all central ministries, departments,

 and CPSEs to enforce strict wage-payment timelines for contract workers, with

 blacklisting and debarment of up to three years for violations. Monthly monitoring

 by DDOs has been mandated.


Step 2 — 

Aggregators have been directed to register all gig workers on the e-Shram portal

 within 45 days (Karnataka), with Aadhaar-linked Universal Account Numbers,

 quarterly data sharing, and a 1–2% turnover contribution to a National Social

 Security Fund.


These are significant, necessary steps. I applaud them unreservedly.


And yet — I respectfully submit — they are still enforcement-after-the-fact

measures. Compliance is verified periodically, by humans, through reports and

 inspections. The ghost beneficiary, the unpaid wage, the unregistered worker —

 these are discovered in arrears, not prevented in real time.


MAD would make them impossible to hide in the first place.


A geo-tagged mobile clock-in, Aadhaar-linked and integrated with

 EPFO/ESIC/DBT/GST/Income Tax, would mean:


  • Every attendance event is a compliance event — automatically.

  • Every wage payment is triggered by verified attendance — no ghost workers

  • possible.

  • Every gig worker's engagement days accumulate in real time — no manual

  • registration needed.

  • Every apprentice's training hours are verified — stipend DBT flows without

  • leakage.

  • The "study on formalisation impact" the Ministry was planning? It runs itself,

  • continuously, sector-wise, district-wise, gender-wise — as a by-product of

  • the attendance layer.

The Government has now built the legal architecture — blacklisting clauses, portal

 mandates, UAN linkages. What remains is the data infrastructure underneath.

 MAD is that infrastructure.


I therefore respectfully renew my proposal


Constitute an Inter-Ministerial TaskForce (Labour, Finance, MeitY, EPFO, NITI

Aayog) to design and pilot a national :

  

 Mobile Attendance Device framework — 


- beginning with central government establishments and select CPSEs

  and extending to the 100 million establishments across India.


The idea is no longer ahead of its time. 

The Government's own actions this week confirm it.


With respectful regards, 

Hemen Parekh

www.HemenParekh.ai | www.IndiaAGI.ai 

10 May 2026