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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Sunday, 31 May 2026

Hapus in Crisis

Hapus in Crisis

Introduction

I write this as someone who loves mangoes as much as I respect the farmers who grow them. The Alphonso — locally called Hapus — is not just a fruit; it is a cultural icon, a seasonal promise and a vital source of income in the Konkan coast and other mango belts. When I think of Hapus, I picture not only the golden, fragrant fruit on my plate but the thousands of smallholders whose livelihoods hinge on a successful flowering and harvest.

Why this matters

Alphonso commands premium prices in domestic markets and exports because of its unique aroma, texture and flavour. For many families, a good Hapus season pays school fees, repairs houses and smooths cash flow for the year. When climate shocks disrupt this cycle, the consequences ripple across rural economies and supply chains.

What I mean by climate shocks

By "climate shocks" I mean sudden or extreme weather events and unusual seasonal patterns, such as:

  • Heatwaves (short periods of very high temperature)
  • Untimely rains during flowering or harvest
  • Prolonged drought
  • Cyclones and strong winds

These events are becoming more frequent and less predictable. The Hapus tree evolved with a certain rhythm of dry winter flowering and hot, dry pre-monsoon fruit development; when that rhythm changes, the crop suffers.

How shocks affect flowering, fruit set and pollination

  • Flowering: Alphonso flowers on old wood during the cool, dry months. Heatwaves can cause flowers to abort (drop) or to become desiccated; untimely rains can trigger fungal infections on delicate panicles.
  • Fruit set: High night temperatures and sudden rains during bloom reduce the number of flowers that set fruit. Fruit set requires a narrow window of favourable weather; outside that window the retention rate falls.
  • Pollination: Pollinators — bees and flies — are sensitive to temperature and rainfall. Heat or heavy rain during bloom can reduce pollinator activity, lowering pollination success and therefore the number of fruits.

Pests, disease and post-harvest quality

  • Pests and disease: Warmer, wetter conditions favour pests (fruit fly populations can surge with warmer nights) and diseases such as anthracnose and powdery mildew that attack flowers and young fruit.
  • Post-harvest quality: Heat and humidity shorten shelf life, can reduce sugar accumulation, and affect skin colour and pulp texture. Untimely rains close to harvest increase incidence of bruising and fungal rot, reducing grade and exportability.

Real-world impacts (recent seasons and trends)

In recent years growers have reported more erratic flowering, higher flower drop, and increased pressure from pests during atypically warm winters and sudden pre-monsoon rains. While local details vary year to year, the pattern is clear: unpredictability increases risk and reduces average yields.

Impacts on farmers and supply chains

  • Smallholders face income volatility: a lower or lower-grade crop means lost earnings and debt stress.
  • Markets: Reduced supply pushes up prices but also increases market instability. Exporters face quality rejections, which harms reputation and market access.
  • Labour and logistics: Cyclones and heavy rains disrupt harvesting and transport, increasing post-harvest losses.

Adaptation and mitigation strategies — practical steps farmers can try

Farmer-level

  • Irrigation scheduling: Use soil moisture checks or simple tensiometers to irrigate during critical fruit development phases rather than on a fixed calendar. Drip irrigation or micro-sprinklers conserve water and target the root zone.
  • Mulching: Organic mulch (cane trash, straw) conserves moisture, moderates soil temperature and improves soil health.
  • Microclimate management: Shade nets reduce heat stress during extreme heat and can lessen sunburn on fruit. Temporary misting during short heatwaves can help flowers and young fruits.
  • Pruning and canopy management: Open canopies improve airflow, reducing fungal disease pressure and allowing better spray coverage.
  • Integrated pest management (IPM): Monitor using pheromone traps for fruit flies, use biocontrol agents (e.g., Beauveria, Trichogramma where appropriate), timely sanitation (collect and destroy infested fruit) and targeted baiting rather than blanket insecticide use.
  • Fruit bagging: Individual fruit bags protect from pests and reduce skin blemishes — a low-tech way to improve grade for export.

Institutional and market-level strategies

  • Weather advisory systems: Timely, localized advisories (flowering window alerts, heatwave warnings) help farmers time irrigation, sprays and protective measures.
  • Crop insurance: Make insurance easier to access and faster to pay out after a shock — insurers should recognize climate-linked losses in assessments.
  • Varietal research: Invest in breeding or selecting Hapus clones with better tolerance to heat, faster maturity or disease resistance while conserving fruit quality.
  • Cold chain and value addition: Expand cold storage, pulp processing and dehydration facilities so lower-grade fruit can be converted into pulp, concentrate or dried mango with stable value.
  • Market interventions: Forward contracts, warehouse receipt systems and cooperatives can stabilize incomes when yields fall.

Policy recommendations — actionable steps for stakeholders

  • Subsidize micro-irrigation and on-farm water storage to make critical-season watering feasible.
  • Fund extension programs to train farmers in IPM, microclimate measures and post-harvest handling.
  • Strengthen localized weather forecasting and crop advisories delivered by mobile/SMS and extension agents.
  • Support public-private partnerships for cold chain and processing infrastructure near production zones.
  • Prioritize research on Hapus-specific varietal improvement and disease management.
  • Simplify and subsidize parametric insurance schemes that trigger rapid payouts after defined climatic thresholds.

Conclusion — a call to action

Alphonso mangoes are part of our food culture and a lifeline for many farmers. The risks posed by climate shocks are urgent but not hopeless. With practical on-farm techniques, targeted institutional support and smart policy, we can reduce vulnerability, protect incomes and preserve the Hapus legacy for future seasons.

I feel a deep empathy for the farmers watching a flowering that once looked promising now threat‑laden by a late heatwave or sudden storm. I urge policymakers, researchers, exporters and consumers to act: invest in resilience, support value-addition, and reward practices that protect both the fruit and the people who grow it.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog? Just ask (by typing or talking) my Virtual Avatar on the website embedded below. Then "Share" that to your friend on WhatsApp.

Get correct answer to any question asked by Shri Amitabh Bachchan on Kaun Banega Crorepati, faster than any contestant


Hello Candidates :

  • For UPSC – IAS – IPS – IFS etc., exams, you must prepare to answer, essay type questions which test your General Knowledge / Sensitivity of current events
  • If you have read this blog carefully , you should be able to answer the following question:
"How do heatwaves and untimely rains specifically disrupt flowering and fruit set in Alphonso (Hapus) mango trees?"
  • Need help ? No problem . Following are two AI AGENTS where we have PRE-LOADED this question in their respective Question Boxes . All that you have to do is just click SUBMIT
    1. www.HemenParekh.ai { a SLM , powered by my own Digital Content of more than 50,000 + documents, written by me over past 60 years of my professional career }
    2. www.IndiaAGI.ai { a consortium of 3 LLMs which debate and deliver a CONSENSUS answer – and each gives its own answer as well ! }
  • It is up to you to decide which answer is more comprehensive / nuanced ( For sheer amazement, click both SUBMIT buttons quickly, one after another ) Then share any answer with yourself / your friends ( using WhatsApp / Email ). Nothing stops you from submitting ( just copy / paste from your resource ), all those questions from last year’s UPSC exam paper as well !
  • May be there are other online resources which too provide you answers to UPSC “ General Knowledge “ questions but only I provide you in 26 languages !




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Growing AI Hallucinations

Growing AI Hallucinations

Introduction

I’ve been watching generative AI move from novelty to infrastructure over the last few years, and one recurring worry keeps getting louder: hallucinations — confident but incorrect outputs — are not only persistent, they seem to be getting more frequent and more costly. I first warned about chatbots making things up in my earlier essay on conversational AI and safety Parekh’s Law of Chatbots. Today the signs point to a system-level problem: as the technology grows more powerful and more embedded, the mismatch between what models can do and what people expect widens.

Evidence that hallucinations are increasing

The evidence comes in different forms:

  • Public incidents: users and journalists repeatedly find models inventing sources, fabricating facts, or giving wrong medical, legal, or historical claims while sounding authoritative. Public models (large commercial and open models) have had multiple such episodes reported in press coverage and technical write-ups.
  • Benchmark drift: standardized tests that earlier suggested steady improvements sometimes hide failures on real-world tasks; labs and companies report lower real-world reliability than their internal metrics implied.
  • Academic studies and audits: evaluations across models show that improvements in fluency and creativity often come with persistent factual errors unless specific grounding mechanisms are added.
  • User reports from deployed systems: as models power search, assistants, and content tools, downstream logs show hallucination-driven errors that compound at scale.

Together these strands suggest hallucinations are not an occasional bug but an emergent property of how we currently build and deploy generative models.

Key technical reasons they worsen

1) Data scale and noise

We train on enormous, scraped datasets. Bigger data brings broader knowledge but also amplifies noise: mislabeled facts, outdated pages, low-quality scraped text, and synthetic content. The model’s statistical patterns learn both truth and error. Think of it as teaching a student from every book in a flea market — many are useful, some are misleading.

2) Model distribution shifts

Models are trained on historical snapshots of the web. When deployed live, they face queries about recent events, niche domains, or user-specific contexts not represented in training. That distribution shift increases the chance the model will invent plausible-sounding answers instead of admitting ignorance.

3) Training objectives (likelihood and reward mismatch)

Most models are optimized to predict plausible continuations (maximum likelihood) or to maximize human-judged reward (RLHF). These objectives favor fluent, helpful, and persuasive outputs — not necessarily truthful ones. The optimization is like training a storyteller to be convincing, not to cross-check facts.

4) Evaluation gaps

Benchmarks often reward surface-level qualities (coherence, length, BLEU-like scores) rather than grounded factuality. As a result, a model can score well in evaluations while still hallucinating in practice. We lack broad, practical, high-coverage tests that simulate messy, real-world queries.

5) Reinforcement learning feedback loops

When deployed, models receive implicit feedback: user clicks, upvotes, or downstream engagement signals. If hallucinated but engaging answers get positive signals, the system can start to prefer confident inventions. This is an “echo chamber” problem: the system reinforces behavior that improves engagement but not truth.

6) Multimodal fusion errors

Newer models combine text, images, audio, and other modalities. Fusing imperfect signals can create cross-modal hallucinations — for example, generating an image caption that describes objects not present, or misattributing text to an image. Multimodal grounding is technically harder, and current fusion strategies can amplify uncertainty.

Real-world consequences

Hallucinations matter because these systems are being used for decisions, publishing, and automation:

  • Misinformation spread: confident false claims can propagate quickly through assistants and content generators.
  • Safety risks in medicine and law: wrong medical or legal guidance can harm people when relied upon without expert oversight.
  • Scientific and journalistic errors: fabricated citations or invented studies undermine trust and waste researcher time.
  • Automation failures: code generation that invents APIs or misstates constraints can introduce bugs and security vulnerabilities.

Even if only a small fraction of outputs are hallucinated, the sheer scale of deployment multiplies the harm.

What researchers and developers can do

Practical mitigations

  • Grounding with retrieval: couple generation with up-to-date retrieval systems that return primary sources and cite provenance. Retrieval-augmented generation reduces the urge to invent by providing concrete evidence to condition on.
  • Calibration and uncertainty estimates: build models that can say “I don’t know” or express confidence intervals rather than always producing a definite answer.
  • Provenance and citation: require outputs to include source links or excerpts when factual claims are made, and make provenance auditable.
  • Human-in-the-loop checks: route high-risk outputs (medical, legal, financial) through expert review before automated action.
  • Better monitoring: log hallucination events in production, measure downstream harm, and feed that signal back to development teams.

Research directions

  • Truth-aware objectives: develop training objectives that directly penalize factual inconsistency, not just fluency or human preference.
  • Robust evaluation suites: design benchmarks that stress models on distributional shifts, adversarial prompting, and long-tail factuality cases.
  • Model editing and retrieval-aware internalization: create methods to correct factual errors post-hoc and to let models defer to external, authoritative databases.
  • Feedback-loop mitigation: study how engagement metrics shape model behavior and design reward signals that favor accuracy over clickability.
  • Multimodal grounding: invest in architectures and datasets that tightly align modalities with explicit cross-checking mechanisms.

A short checklist for builders

  • Don’t deploy high-stakes generation without source grounding and human oversight.
  • Make the model’s uncertainty visible to users.
  • Continuously evaluate in-the-wild behavior, not just offline benchmarks.
  • Use conservative defaults (defer, refuse, or ask for clarification) for risky queries.

Conclusion

Hallucinations are not a quirk we can paper over; they arise from the intersection of training data, objectives, evaluation, deployment incentives, and multimodal complexity. The good news is that many practical steps — retrieval grounding, uncertainty estimation, provenance, conservative defaults, and improved evaluations — can materially reduce harms. As I argued in my earlier piece on chatbots and trust (Parekh’s Law of Chatbots), we should design conversational systems with an expectation of fallibility and explicit mechanisms to detect and contain errors. Building reliable AI is not only a technical task; it’s an engineering and product-design challenge that must prioritize truth and safety over mere polish.

I remain hopeful: the same community that built these remarkable models can also invent the checks, metrics, and systems that make them responsibly useful.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog? Just ask (by typing or talking) my Virtual Avatar on the website embedded below. Then "Share" that to your friend on WhatsApp.

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Hello Candidates :

  • For UPSC – IAS – IPS – IFS etc., exams, you must prepare to answer, essay type questions which test your General Knowledge / Sensitivity of current events
  • If you have read this blog carefully , you should be able to answer the following question:
"Why do large language models tend to produce confident but false answers, and what practical steps reduce those hallucinations?"
  • Need help ? No problem . Following are two AI AGENTS where we have PRE-LOADED this question in their respective Question Boxes . All that you have to do is just click SUBMIT
    1. www.HemenParekh.ai { a SLM , powered by my own Digital Content of more than 50,000 + documents, written by me over past 60 years of my professional career }
    2. www.IndiaAGI.ai { a consortium of 3 LLMs which debate and deliver a CONSENSUS answer – and each gives its own answer as well ! }
  • It is up to you to decide which answer is more comprehensive / nuanced ( For sheer amazement, click both SUBMIT buttons quickly, one after another ) Then share any answer with yourself / your friends ( using WhatsApp / Email ). Nothing stops you from submitting ( just copy / paste from your resource ), all those questions from last year’s UPSC exam paper as well !
  • May be there are other online resources which too provide you answers to UPSC “ General Knowledge “ questions but only I provide you in 26 languages !




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White Paper on Education

 

WHITE PAPER

From Rote to Reason:

Reimagining Indian Education

with AI-Powered Critical Thinking

The Case for www.My-Teacher.in as India's National Thinking Platform

Hemen Parekh

www.HemenParekh.ai  |  www.IndiaAGI.ai

June 2026

 

Context

This white paper synthesises over 70 blog posts written by Hemen Parekh between July 2024 and February 2025, together with his decade-long thought leadership on Indian education reform. It is published in response to a Times of India report (May 2026) asking whether critical-thinking competitions can change how Indian classrooms function — and argues that competitions, while welcome, are insufficient without an always-on, AI-powered infrastructure for cultivating the habit of asking WHY.

The platform described here — www.My-Teacher.in — is already live, fully free, and requires no registration. It is India's most-ignored education breakthrough waiting for a policy champion.

 

 

1. Executive Summary

India produces the world's largest cohort of examination-trained graduates — and some of its least critically-equipped young professionals. The National Education Policy 2020 correctly identifies critical thinking as a pillar of 21st-century learning, yet classroom practice remains overwhelmingly driven by rote recall, past-year question papers, and rank-anxiety. The Times Critical Thinking Championship (2025) and similar competitions have demonstrated that young Indians can think creatively when given permission. But competitions touch a few thousand students; India has 250 million school-going children.

 

This white paper makes three arguments:

       The crisis is structural, not motivational — teachers teach to the test because the system rewards nothing else.

       Competitions are a spark, not a fire. The fire requires an always-on, zero-cost, AI-powered platform that any student can access from any smartphone, at any hour, in any language.

       That platform already exists. www.My-Teacher.in, conceived and built by Hemen Parekh, operationalises Edward de Bono's CoRT Thinking Programme on a mobile interface, generates over 294 quintillion unique test papers, and serves as a 24x7 personal tutor — at zero cost, with zero registration.

 

"In my experience, most schools do not teach thinking at all. Some schools teach the limited thinking skills involved in information sorting and analysis." — Edward de Bono, Teach Your Child to Think

 

This paper calls on the Ministry of Education, NITI Aayog, and corporate India to recognise My-Teacher.in as national infrastructure for cognitive development — and to pilot it formally across 1,000 schools in the next academic year.

 

2. The Diagnosis: A Broken System in Plain Sight

2.1  The Rote-Recall Trap

India's education system has a single dominant success metric: examination scores. From Class 1 through NEET/JEE, the message to students is unambiguous — memorise answers, not questions. The Annual Status of Education Report (ASER) has found year after year that nearly half of Indian Class 5 students cannot read a Class 2 text. The dysfunction runs deeper than literacy: students who can decode text have rarely been taught to interrogate it.

The consequence is visible at the workforce end. Employers across IT, manufacturing, healthcare, and banking consistently report that fresh graduates lack the ability to frame a problem, disagree constructively, or generate a novel approach. India is producing information-retrievers in an era that demands insight-generators.

2.2  Coaching Culture and the Kota Syndrome

The coaching industry — estimated at over ₹58,000 crore annually — has industrialised rote preparation. Kota, the coaching capital, processes hundreds of thousands of aspirants annually, with documented student distress and a tragic suicide rate. As Hemen Parekh noted in his October 2024 blog Kota: Our Suicide Capital, the system extracts the most vulnerable years of a young person's life and returns, at best, an entrance rank — and at worst, a broken spirit.

The no-detention policy, now scrapped, briefly tried to reduce examination anxiety. Its removal without replacement leaves students more exposed than before. What was needed was never less assessment — it was better assessment: assessment that rewards thinking, not recall.

2.3  The NEET-JEE Monoculture

The dominance of NEET and JEE as the singular gateways to elite careers has created a monoculture of preparation. Students in Class 9 are already making subject choices not based on aptitude or curiosity but on what maximises their entrance exam probability. This narrows the nation's cognitive diversity at precisely the moment — the formative teenage years — when breadth of curiosity should be expanding.

The JEE paper-leak crisis of 2024, which Parekh documented in JEE Exam: A Tragedy of Errors, exposed not just administrative failure but the fragility of a system that places all its weight on a single high-stakes moment. When that moment is compromised, an entire cohort's year is lost.

2.4  The Teacher's Dilemma

It is fashionable to blame teachers. It is also unfair. A government schoolteacher managing 60 students in a single room, responsible for covering the syllabus before board exams, has neither the time nor the institutional support to teach Socratic dialogue. Critical thinking competitions, as the Times of India report notes, inspire educators — but inspiration is not infrastructure. Teachers need tools that make thinking-oriented pedagogy as easy to deliver as a textbook lesson.

 

3. What Critical Thinking Competitions Can — and Cannot — Do

The Times Critical Thinking Championship 2025 felicitated India's top 35 student critical thinkers. That is a worthy achievement. Competitions do several things well:

       They signal societal legitimacy — critical thinking is valued, not just marks.

       They create role models and exemplars for teachers and parents.

       They provide structured environments where unconventional thinking is rewarded rather than penalised.

       They inspire educators to move beyond information-transfer toward exploration.

 

But competitions have hard structural limits:

       Scale: India has 1.5 million schools. A national competition touches a fraction of a percent of the student population.

       Frequency: A competition happens once a year. Thinking is a daily habit, not an annual event.

       Access: Competitions disproportionately reach urban, English-medium, well-resourced schools. The rural student in a government school in Bihar or Odisha is structurally excluded.

       Incentive alignment: A competition medal does not translate into board exam marks, so neither student nor teacher has a sustained incentive to prioritise thinking skills.

 

A competition is a showcase. A platform is an ecosystem. India needs the ecosystem — and it already exists.

 

4. The My-Teacher.in Solution: BriBoToMo

4.1  Genesis and Philosophy

Hemen Parekh — who launched his blog on his 80th birthday in 2013 and who, approaching his 93rd year, continues to write with undiminished energy — conceived My-Teacher.in as the answer to a simple question: how do you bring Edward de Bono's Cognitive Research Trust (CoRT) Thinking Programme to every Indian child's mobile phone?

De Bono's CoRT programme, used by millions of students globally, teaches structured thinking tools — PMI (Plus, Minus, Interesting), CAF (Consider All Factors), OPV (Other People's Views), and dozens more. It has been proven to shift classrooms from answer-retrieval to question-generation. But it requires trained teachers and physical infrastructure that most Indian schools lack.

Parekh's insight: the smartphone already in the hands of 600 million Indians is sufficient infrastructure. He called his programme BriBoToMo — Bring Bono to Mobile. The result is My-Teacher.in.

4.2  Core Features

Feature

What it Does

Questions Beyond Syllabus

Generates curiosity-provoking, cross-disciplinary WHY questions across science, math, philosophy, and daily life — tuned for any age group

294 Quintillion Unique Test Papers

AI-generated question papers where no two students ever see the same paper — making copying structurally impossible while maintaining equal difficulty

Mock Tests with Equal Difficulty

AI ensures that while every paper is unique, all carry identical difficulty weighting — fair to every student

NEET / JEE / CUET / SAFAL Practice

Structured practice for major national examinations — at home, at any hour, with immediate feedback

SARAL Mode

Designed for students with no teacher and no textbook — voice-input, simplified navigation, mother-tongue support

Text-to-Speech

Converts questions and explanations to audio — accessible to visually impaired and low-literacy users

Zero Cost / Zero Registration

Fully free. No login. No data collection. Accessible via any browser on any device.

 

4.3  The WHY Pedagogy in Action

The platform's most distinctive feature is its Questions Beyond Syllabus module, which operationalises Parekh's central pedagogical conviction: that teaching a child to ask WHY is more valuable than teaching any specific answer. Sample questions generated by the platform include:

       Why are mountains narrow at the peak and wide at the base — and not the other way around?

       When standing on the surface of Earth, we do not fall off — but why does this same logic break down if we imagine standing inside a hollow Earth?

       Mixing the seven colours of light gives white, but mixing the seven colours of paint gives brown. Why?

       In distant space, do the concepts of left, right, up, and down have any meaning? Why?

 

These questions have no past-year-paper equivalents. They cannot be Googled. They require the student to construct an answer from first principles — which is precisely what 21st-century employers, and 21st-century citizenship, demand.

4.4  The Anti-Copying Architecture

Parekh identified examination copying as both a symptom and a cause of the rote-learning crisis. When the same paper is handed to every student in a room, copying is rational. His solution is architectural: make the paper itself unique. With over 294 quintillion possible question combinations, the My-Teacher.in system ensures that no two adjacent students can ever share an identical paper. This is not surveillance — it is design. The approach parallels how Microsoft's MCSE online certification has operated for decades, as Parekh documented in his comparison of My-Teacher with MCSE exam formats.

4.5  Positioning Against the Competition

Platform / Programme

Reach

Critical Thinking Focus

BYJU'S / Vedantu

Urban, paid subscribers

Exam prep, not thinking

DIKSHA (Govt)

Wide but passive

Content delivery only

ATAL Tinkering Labs

500,000 students

Making, not reasoning

Coaching Apps (Kota model)

Exam-focused

Anti-thinking by design

Times CTCC Competition

~35 winners nationally

Annual, not daily

My-Teacher.in

Any smartphone, anywhere, free

Thinking-FIRST, always-on

 

5. The Equity Argument: Leapfrogging the Digital Divide

India's education reform discourse often focuses on infrastructure: classrooms, toilets, electricity, broadband. My-Teacher.in requires none of these beyond a basic smartphone and intermittent connectivity. With 750 million smartphone users and counting, the infrastructure argument against digital learning has largely collapsed.

Parekh's 2025 blog How to Leapfrog the Digital Divide in Schools articulates this directly: the 150-gram mobile phone can replace the 6,000-gram school bag. Every subject, every question bank, every thinking exercise — compressed into a device the child already carries.

The implications for equity are profound:

       A tribal student in a Jharkhand village school has access to the same quality of thinking-provocation as a student at Delhi Public School.

       A first-generation learner with no access to coaching classes can practice the same creative-question module as a Kota aspirant.

       A student with visual impairment can use the Text-to-Speech feature without requiring any specialist intervention.

 

"Let the 150 gm Mobile replace the 6,000 gm Schoolbag." — Hemen Parekh, August 2024

 

This is not aspiration. The platform is live. The question is whether policy will follow technology — or continue to lag a decade behind it.

 

6. The AI Dimension: From Tutor to Thinking Partner

6.1  AI-Powered Personalisation

Parekh's December 2024 blog AI-Powered Tutor articulates the next evolution of My-Teacher.in: an AI layer that does not merely generate questions but adapts to the individual learner's pace, prior answers, and cognitive patterns. Where a traditional teacher must divide attention across 60 students, an AI tutor gives undivided attention to one — indefinitely, patiently, without fatigue.

This is not science fiction in 2026. The large language models powering platforms like Claude, ChatGPT, and DeepSeek can engage in extended Socratic dialogue, push back on weak reasoning, and redirect a student toward a better-framed question. Parekh has documented his dialogues with multiple AI systems — including Claude — asking each to contribute to the cause of Indian education reform.

6.2  AI-Generated Creative Questions: A Live Demonstration

The platform's Question Generation module, originally described in Parekh's 2025 blog Generation of Questions / Topics Using BARD, has been progressively upgraded. The module can generate questions on any topic — from photosynthesis to geopolitics — that are specifically designed to have no single correct answer, to reward reasoning over recall, and to connect the subject to the student's lived experience.

6.3  AI-Resistant Assessment

A frequent objection to AI in education is that students will use AI to cheat. My-Teacher.in's unique-paper architecture, combined with AI-generated WHY questions that require original reasoning, creates an assessment environment that is structurally resistant to AI-assisted cheating. A student who pastes a WHY question into ChatGPT and submits the response will be demonstrably out-of-pattern against their own previous answers — and, more importantly, will have missed the point of the exercise entirely.

The future of assessment, as Parekh argues in The Future of Exams: Unique Question Papers, is not less technology — it is smarter technology. AI that generates questions makes copying irrelevant; AI that assesses responses makes marking objective. The result is a system that rewards thinking rather than transcription.

 

7. Policy Recommendations

7.1  For the Ministry of Education

       Formally evaluate My-Teacher.in under the National Initiative for Proficiency in Reading with Understanding and Numeracy (NIPUN) and the PM SHRI school modernisation programme.

       Pilot the platform in 1,000 government schools across five states, with structured assessment of thinking-skill improvement over one academic year.

       Mandate the inclusion of at least one Questions Beyond Syllabus session per week in the timetable of every Central Government school — requiring no additional teacher training, since the platform is self-serve.

       Commission NCERT to formally review My-Teacher.in's question-generation methodology for alignment with the new National Curriculum Framework (NCF 2023) emphasis on competency-based education.

       Remove copyright barriers on textbook content so that platforms like My-Teacher.in can legally use curriculum material to generate cross-disciplinary questions — as Parekh argued in his blog No Copyright for Text Books.

7.2  For NITI Aayog

       Include AI-powered thinking-skill platforms in the next iteration of the India Innovation Index as a measurable indicator of educational ecosystem quality.

       Commission a study comparing learning outcomes in schools using My-Teacher.in versus control schools — structured as a randomised controlled trial using ASER-style assessments.

       Recognise www.My-Teacher.in as a Digital Public Good under India's DPI (Digital Public Infrastructure) framework, alongside DIKSHA and SWAYAM.

7.3  For Corporate India (CSR)

       Replace donation of physical infrastructure (benches, fans, computers) with donation of Interactive Panels pre-loaded with My-Teacher.in — as detailed in Parekh's July 2024 open letter Yes, Your Company Can Donate an Interactive Panel to a Village School.

       Fund a national train-the-trainer programme to help government school teachers integrate the platform's thinking modules into their daily lessons.

       Sponsor a My-Teacher.in Critical Thinking League — a continuous, school-based thinking competition that runs year-round rather than culminating in a single annual event.

7.4  For Examination Boards (CBSE / State Boards / NTA)

       Adopt the unique-question-paper architecture for board examinations — a technically feasible reform that eliminates mass copying without requiring surveillance infrastructure.

       Introduce a compulsory Critical Reasoning section (20 marks) in Class 10 and Class 12 board examinations, for which My-Teacher.in's WHY-questions module is direct preparation.

       Replace past-year question paper practice — which rewards pattern recognition — with My-Teacher.in's dynamic question bank as the official practice resource.

 

8. A Vision for 2030: India's Thinking Generation

Edward de Bono estimated that if his CoRT Thinking Programme were universally adopted, measurable improvements in societal problem-solving would appear within one generation. India does not have a generation to wait. The automation wave is already displacing routine cognitive work. The jobs that will remain — and the ones that will be created — require exactly the skills that My-Teacher.in is designed to build: synthesis, curiosity, lateral reasoning, comfort with ambiguity.

 

The vision for 2030:

       250 million school-going children with access to an AI-powered thinking platform — free, always-on, multilingual.

       Board examinations that reward reasoning over recall — with unique AI-generated papers for every student.

       A generation of graduates who have been trained from childhood to ask WHY — not just WHAT and HOW MUCH.

       India's global ranking in PISA (Programme for International Student Assessment) moving from the bottom quartile to the global median — driven not by rote improvement but by genuine cognitive development.

 

"There is just no time to look back, no time to wonder, 'Will anyone read these pages?' " — Hemen Parekh, launching his blog on his 80th birthday, June 27, 2013. He has not stopped writing since.

 

My-Teacher.in is Parekh's life's work compressed into a mobile platform. It is built. It is free. It works. What it needs is not more development — it needs adoption.

 

9. Call to Action

Stakeholder

Next Step

Ministry of Education

Write to feedback@My-Teacher.in to schedule a platform demonstration for NCERT/CBSE

NITI Aayog

Include My-Teacher.in in the next round of the EdTech Innovation Challenge under Atal Innovation Mission

Corporate CSR Teams

Commission an Interactive Panel donation drive targeting 500 government schools in 2026–27

Principals & Teachers

Visit www.My-Teacher.in today — no registration, no cost — and assign one WHY-question session per week

Parents

Open My-Teacher.in on your phone, select Questions Beyond Syllabus, and do it with your child tonight

Journalists & Policy Thinkers

Ask why India's most ambitious free education platform has not yet received a single line of government funding

 

10. About the Author

Hemen Parekh began his career as a pioneer of the Indian recruitment industry, founding one of India's first job portals in the early internet era. He has written over 50,000 documents across his professional life — blogs, open letters, policy proposals, and poems — all accessible via www.HemenParekh.ai, his personal Small Language Model trained on six decades of his own writing.

 

He conceived My-Teacher.in as a gift to India's 250 million school-going children — free, forever, with no commercial motive. He has written to Prime Ministers, Education Ministers, IIT Directors, and corporate leaders about it. He launched his blog on his 80th birthday, invited readers on his 90th birthday to continue chatting with his digital avatar after his physical departure, and shows no sign of slowing down approaching his 93rd year.

 

He is reachable at: feedback@My-Teacher.in

 

Key Links

Platform: www.My-Teacher.in

Digital Avatar: www.HemenParekh.ai

AGI Platform: www.IndiaAGI.ai

Blog Archive (My-Teacher theme)

70+ posts, July 2024 – February 2025

myblogepage.blogspot.com

Contact: feedback@My-Teacher.in

 

This white paper may be freely reproduced and shared with attribution.