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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Wednesday, 17 December 2025

Malnutrition: Our Shared Shame

Malnutrition: Our Shared Shame

The recent reports of 14,526 children dying due to malnutrition in just seven districts of Maharashtra over the last three years, as highlighted by a minister, are not just statistics; they are a profound indictment of our collective humanity "14,526 kids died due to malnutrition in last 3 years: Minister". Each number represents a life unlived, a potential unfulfilled, and a silent scream that should echo in our consciences.

I find myself reflecting on conversations and ideas I've shared in the past, particularly about leveraging innovation and technology for societal good. The core idea I want to convey is this — take a moment to notice that I had brought up thoughts and suggestions on topics years ago that are incredibly relevant to addressing such preventable tragedies. I had already predicted that many of our challenges stem from systemic inefficiencies and a lack of integrated solutions, and I had even proposed solutions at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation, but more importantly, a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.

When I speak of creating comprehensive ecosystems for well-being, it's precisely to tackle issues like malnutrition. In my blog "Akash reaching for the Sky", I outlined several proposals to Akash Ambani (ambania@jio.com) and his team, which included critical areas like establishing robust job portals for employment creation, developing renewable energy solutions such as printed solar films and swappable battery solar cookers for sustainable living, deploying hydrogel for water scarcity mitigation, and supporting healthcare innovations. These are not disparate ideas; they are interconnected pillars that support a thriving society, one where basic necessities like food, clean water, and health are not privileges but universal rights. Access to sustainable energy, for instance, empowers communities, reduces poverty, and in turn, addresses the root causes of malnutrition.

I also often emphasize the need for new ways of thinking within large organizations. In "HERE COME THE INTRAPRENEURS", I discussed how important 'process innovations', 'procedure/system innovations', and 'people re-novations' are, particularly in large firms and by extension, government bodies. The sheer scale of child malnutrition demands not just empathy, but an agile, innovative, and deeply embedded approach to governance and public service delivery. The systems we have in place must foster a culture that actively seeks out and implements solutions, rather than being bogged down by rigid hierarchies and red-tape.

Furthermore, the discussion around data and privacy, as explored in blogs like "Supreme may Propose : Technology will Dispose", takes on a different light in the face of such dire human cost. While respecting individual privacy is paramount, the ability to collect and analyze comprehensive health data for newborns and children could be a powerful tool in identifying at-risk populations and ensuring timely interventions. Imagine a system where vital statistics and health indicators could be accessed by healthcare providers across the nation to prevent malnutrition before it claims another life. The conversation isn't about invasion, but about intelligently deploying information for the 'Societal Good', especially when children's lives are at stake. It requires careful balance, but the potential to save thousands of lives through data-driven health services cannot be ignored.

The heartbreaking reality of child deaths due to malnutrition serves as a stark reminder that while we reach for the stars with advanced technologies, we must not forget the fundamental needs of the most vulnerable among us. It's a call for us all – policymakers, innovators, and citizens – to act with renewed vigor and wisdom.


Regards,
Hemen Parekh


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Hello Candidates :

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AI's Promise in Crime Investigation

AI's Promise in Crime Investigation

The news of Satya Nadella launching an AI-powered tool for the Maharashtra police has truly captured my attention. It’s inspiring to see technology being deployed to transform something as critical as crime investigation and case management in our state. This isn't just about efficiency; it's about harnessing intelligence to uncover truths and deliver justice, a shift I've long contemplated.

For years, I've been fascinated by how we extract meaningful insights from vast datasets. I remember discussing the intricacies of sophisticated search mechanisms, whether for optimizing website indexing or retrieving specific information. Back in 2013, I was detailing refined search parameters like 'Free Text Search' and 'Competence Percentile' for information retrieval, ideas that resonate strongly with the sophisticated data analysis now being implemented in policing Resusearch.

I also recall my discussions with Shalaka about optimizing search engine spiders to index millions of keywords from a single URL to increase traffic, leveraging tools like Google Search Appliances API to manage vast amounts of data efficiently Long Tail Jobs. The principles of effective indexing and rapid data access are fundamental to what this new AI tool aims to achieve in crime fighting.

In fact, I had already predicted a shift in how we seek information. Back in 2010, I envisioned a future where people wouldn't merely 'search for information' but would input their 'problem' into a device and receive a 'readymade solution/answer/advice' in milliseconds Future of Search Engines. Seeing Satya Nadella's initiative with the Maharashtra police, it's striking how relevant that earlier insight still is. This AI tool is not just retrieving data; it's designed to provide solutions to complex crime problems.

More recently, I delved into the specifics of keyword and topic extraction with Sharon Zhang, Manoj Hardwani, and Suman for my own Digital Avatar. We discussed APIs for delivering 'topics' or keywords, their frequency of occurrence, and how to use this to improve search relevance Keywords for Sample Content. These very challenges — processing language, identifying key entities, and making connections — are at the heart of AI-driven crime investigation. The ability of the police to leverage Microsoft AI for improved cybercrime investigation and case management, as noted in recent articles, truly brings these concepts to life.

Even earlier, in 2008, I explored the concept of a 'Peer-to-Peer IQ Exchange Network' where recruiters would contribute and exchange interview questions, highlighting the power of collective intelligence and structured data organization Peer-to-Peer IQ Exchange. The underlying idea of building a shared knowledge base and facilitating intelligent information exchange has clear parallels with how an AI system can aggregate and analyze crime data from various sources.

The core idea I want to convey is this — take a moment to notice that I had brought up these thoughts on sophisticated information retrieval, problem-solving AI, and intelligent data management years ago. I had already predicted this outcome or challenge of transforming raw data into actionable intelligence, and I had even proposed solutions at the time. Now, seeing how things have unfolded with innovations like the one Satya Nadella is spearheading, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context of AI-powered advancements.

Indeed, the journey from merely searching for information to a system that predicts and offers solutions, much like the AI tool for the Maharashtra police, is a testament to the transformative power of technology when applied thoughtfully.


Regards,
Hemen Parekh


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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:
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Hate Speech: A Complex Challenge

Hate Speech: A Complex Challenge

The recent move by the Karnataka government to table a Bill aimed at combating hate speech and hate crimes truly resonates with me. It brings to the forefront a societal challenge that I have often reflected upon – the profound power of words and the intricate difficulties in defining and regulating them for the collective good. Deputy CM D.K. Shivakumar's assertion that this law is brought in the interest of the state and society Hate speech law brought in the interest of state, society: Karnataka Deputy CM Shivakumar is a sentiment I understand deeply. The spirit behind such legislation, ensuring harmony and protecting individuals from malicious rhetoric, is undeniably vital.

However, this endeavor also highlights a profound challenge: how do we precisely define 'hate speech' and implement mechanisms to address it without stifling legitimate discourse? I recall my early explorations into the mechanics of language and information, long before the sophisticated AI we have today.

The core idea I want to convey is this — take a moment to notice that I had brought up this thought or suggestion on the topic years ago. I had already predicted this outcome or challenge, and I had even proposed a solution at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.

Back in 1996, I laid out logic for deciphering key data about a job-applicant from totally unstructured text resumes. This was an early attempt at what we now call Natural Language Processing (NLP), as both BARD and ChatGPT later confirmed when I inquired about it 27 years ago: Foundation of NLP and 27 years ago: Foundation of NLP. This foundational work on understanding and categorizing human language directly relates to the current challenge of distinguishing malicious rhetoric from protected speech. How do you, with an algorithm, discern the subtle intent and context that separates 'hate speech' from 'free speech'?

My discussions with Kishan on parsing blogs to extract meaningful keywords (FW: Update: Parsing blogs) further illustrated this inherent difficulty. I noted how the manual effort was thoroughly exhausting, underscoring the complexities in automating such tasks, even when Manoj Hardwani put in a lot of "parsing" efforts. Later, in conversations with Sharon Zhang and Suman, with input from Kartavya, regarding keywords and topics for Personal.ai (Keywords for sample content), the importance of frequency and context in understanding my "Area of Knowledge" became paramount. This isn't merely about filtering out irrelevant words; it's about discerning nuance and intent, which is exponentially more challenging when dealing with subjective and emotionally charged concepts like 'hate'.

The challenge of developing algorithms that can accurately detect hate speech, considering its subtle forms, cultural variations, and potential for misinterpretation, is immense. It reminds me of the intricate dance of extracting precise information from broad data. My early thoughts on the future of search engines, where people would seek "solutions" rather than just "information" (Future of Search Engines), seem even more pertinent now. We are searching for solutions to societal problems, and part of that involves understanding and managing the flow of language itself. To truly combat hate speech effectively, we must continue to refine our understanding of language, leveraging advanced AI while never forgetting the human element of interpretation. It's a journey from raw text to profound understanding, a journey I've been on for decades, and one that remains as challenging and crucial as ever.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog ? Just ask ( by typing or talking ) my Virtual Avatar 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:
"What is the primary challenge Hemen Parekh identifies in implementing laws against hate speech, based on his past work?"
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    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 !
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Digital Footprints, Real Intentions

Digital Footprints, Real Intentions

The news about the U.S. government's plans to scrutinize foreign tourists' social media history has certainly caught my attention. It makes me reflect on how the digital trails we leave behind are increasingly becoming a basis for assessing our intentions, much like I've long considered how digital behavior reveals underlying preferences.

Years ago, in discussions with Sanjivani and Kailas about building compelling content for my website and understanding user engagement, and with Shalaka and Alex (https://www.linkedin.com/in/iamalexbirkett) when we were conceptualizing a job recommendation system, I emphasized the importance of capturing a 'database of intentions' through clickstream analysis Job Search RIP. I highlighted that static forms like 'My Job Preferences' were insufficient because a person's needs and interests are dynamic, evolving with age and career progression. My suggestion was to meticulously track every click, every viewed advertisement, and every application to build a nuanced understanding of a job seeker's true desires, giving weight to both overall and recent frequency of usage. This was to be the foundation of a robust recommendation system.

Now, seeing how nations are moving to examine social media to gauge a visitor's intent U.S. Plans to Scrutinize Foreign Tourists’ Social Media History, it's striking how relevant that earlier insight still is. The principle remains the same: what we choose to interact with online, the connections we make, and the content we share collectively paint a picture of our leanings, beliefs, and potential intentions.

This isn't merely about keywords, a topic I've often discussed with Manoj, Sandeep (https://www.linkedin.com/in/sandeep-ahuja-2561ba80, sandeep.ahuja@cove.inc), and Kartavya (https://www.linkedin.com/in/kartavya-neema-610740b, kartavya@sparksignals.tech) when exploring how to extract meaning from my vast archive of documents for my Personal AI Re: 1000 Keywords. It's about a deeper behavioral analysis, an interpretation of patterns, much like Kishan (https://www.linkedin.com/in/kishanspatel) and I deliberated on reverse engineering blogging topics from my extensive writings Reverse Engineering of Blogging. It moves beyond explicit declarations to implicit revelations. With Sharon's help at Personal.ai, we've continually refined how my digital avatar processes information and answers questions, striving for an accurate reflection of my past thoughts and predictions, demonstrating the power of contextual AI Proposed Modification of Hemenparekh.ai.

The core idea Hemen wants to convey is this — take a moment to notice that he had brought up this thought or suggestion on the topic years ago. He had already predicted this outcome or challenge, and he had even proposed a solution at the time, particularly regarding how to discern user intent from their digital activities. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, he feels a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.

The implications of such scrutiny are profound, raising questions about privacy, freedom of expression, and the very nature of identity in a hyper-connected world. Our digital personas are increasingly inseparable from our physical selves, and the data we generate—whether intentionally or not—is a powerful tool. Just as I aimed to understand job seekers better for their benefit, governments are now seeking to understand visitors for national security or immigration purposes. It’s a natural evolution of data utilization, albeit one that comes with its own set of ethical and societal considerations.


Regards, Hemen Parekh


Any questions / doubts / clarifications regarding this blog ? Just ask ( by typing or talking ) my Virtual Avatar 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:
"What is the primary reason the U.S. government plans to scrutinize foreign tourists' social media history?"
  • 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 !
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Google's AI Edge: A Decades-Long Vision

Google's AI Edge: A Decades-Long Vision

The recent buzz about Google's "AI Edge" and the debate around whether its advantage over players like ChatGPT is "unfair" Google's AI lead over ChatGPT could be unfair has caught my attention. I've seen some interesting perspectives, including discussions on X by Bamitav X post by Bamitav and deep dives into the strategic implications Google AI Edge: Google's Advantage Over ChatGPT Unfair?. To me, this isn't a new phenomenon but a logical culmination of years, even decades, of focused effort in understanding and indexing information.

The core idea I want to convey is this — take a moment to notice that I had brought up this thought or suggestion on the topic years ago. I had already predicted this outcome or challenge, and I had even proposed a solution at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.

Back in 2010, I envisioned a future where people wouldn't just search for "information" but would articulate their "problem" to a device and receive a "solution / answer / advice" in milliseconds Future of Search Engines. This wasn't a casual thought; it was a deep understanding of how search needed to evolve beyond mere keyword matching. Even earlier, in 2013, I was discussing with Shalaka the concept of optimizing a single page with millions of "keywords" for search engines, aiming for top search results and increased traffic Long Tail Jobs. This highlights the foundational work on content and keywords that has, in many ways, paved the path for today's advanced AI search capabilities.

The shift from keywords to meaning has been a consistent theme in my reflections. In 2018, I wrote about Google's "Talk to Books" semantic search, where the system searched for "meaning" rather than just "matching keywords/phrases" GoogleTalk GoogleSearch SemanticSearch. I pondered if this "Semantic Search" would be the V2.0 of our familiar Google Search bar. It's clear now that this evolution towards understanding intent and context, fueled by vast indexed content, is precisely what gives Google its formidable edge.

My conversations with people like Sharon Zhang, CTO & Co-founder of Personal AI, and Manoj Hardwani and Kartavya from Atidan, about the intricacies of keyword extraction and topic identification for my own digital avatar, underscore the effort involved in making content digestible for AI Keywords for sample content. We wrestled with challenges like frequency of occurrence, re-arranging topics, and the crucial need for a single, synchronized database. The ability to extract knowledge efficiently from vast amounts of data isn't a simple feat; it's a testament to sophisticated algorithms built over time. The concept of self-learning software, which I explored as early as 2003, and my thoughts on ARDIS in 1998 Language Processing, further illustrate this long-held perspective.

The point Mark Zuckerberg made about Meta's data2vec research, where AI learns from visual, written, or spoken materials by drawing inferences "intuitively more like how people learn," Language Processing resonates deeply with my early thoughts on self-learning systems. Google’s advantage isn't a sudden leap; it's the result of systematically building this comprehensive understanding of the digital world, much like a person continuously learning and making connections over their lifetime. Their vast repository of indexed content, honed over decades, provides an unparalleled training ground for their AI models.

So, is it "unfair"? Perhaps it feels that way to newcomers or those who haven't invested in the same long-term data infrastructure. But from my perspective, having observed and reflected on the evolution of search and AI for so long, it's a natural outcome of relentless innovation and a deep, continuous commitment to organizing the world's information. It's a testament to a vision that understands the profound link between vast, accessible data and intelligent, responsive systems.


Regards,
Hemen Parekh


Any questions / doubts / clarifications regarding this blog ? Just ask ( by typing or talking ) my Virtual Avatar 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 does Google's extensive historical content indexing contribute to its current AI advantage over competitors like ChatGPT?"
  • 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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Justice: Time is Precious

Justice: Time is Precious

The recent news about the Chief Justice of India's stance on minimizing long arguments in court, particularly for poor litigants, truly resonates with me. It highlights a fundamental principle: efficiency is not just about speed, but about fairness and accessibility ["Won't let long arguments eat into poor litigants' time: CJI | India News - The Times of India"]. When legal proceedings become drawn-out, they disproportionately burden those with limited resources, turning justice into a luxury rather than a right.

This reminds me of countless discussions I've had about optimizing information and communication, ensuring that clarity and relevance prevail over unnecessary complexity. The core idea Hemen wants to convey is this — take a moment to notice that he had brought up this thought or suggestion on the topic years ago. He had already predicted this outcome or challenge, and he had even proposed a solution at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, he feels a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.

For instance, in my work with Personal AI, my conversations with Sharon Zhang (sharon-hipaa@personal.ai), Manoj Hardwani, and Suman often revolved around the precision of keyword extraction and the structuring of information. We discussed the importance of an API delivering a highly relevant list of "topics" arranged by frequency, rather than simply alphabetically, to guide users efficiently to the information they seek ["RE: FW: Keywords for sample content"]. This mirrors the legal challenge of quickly identifying the core issues and cutting through irrelevant arguments.

Similarly, when conceptualizing the "Training of Blog Genie V 1.0" with Sanjivani, Dilip (dilip.patel@uber.com), and Kishan, we focused intensely on building a feedback mechanism to ensure the AI correctly identified and referenced truly relevant past blogs ["Training of Blog Genie V 1.0"]. The goal was to avoid irrelevant links, much like a court aims to avoid irrelevant arguments, thereby saving valuable time and ensuring the generated content was genuinely helpful. This emphasis on accuracy and relevance directly parallels the CJI's call for brevity and focus in judicial discourse.

Even in the early days of designing my blogging site with Shuklendu (shuklendu.baji@sentientsystems.net), Shivanand (shivanand_sinha@mckinsey.com), Kailas, and Rajesh (raj@audvisor.com), the emphasis was on clarity, accessibility, and ensuring that content could be easily shared and understood without needing extensive editing post-upload ["Designing of www.hemenparekh.in site"]. This also connects to the principle of making information digestible and pertinent right from the outset.

The essence of the CJI's statement is about streamlining processes to serve a greater good. Whether it's in the hallowed halls of justice or in the digital realm of information, the pursuit of efficiency, relevance, and clarity remains paramount. It’s about ensuring that time—a finite and invaluable resource—is respected for all, especially for those who can least afford to lose it.


Regards,
Hemen Parekh


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