Dear Parents
Inspire to Innovate Storytelling Movement
(Mission किशोर संदेश : विज्ञान -विकास -विनोद (Educate-Engage-Entertain)
Saturday, 27 September 2025
From Weekly Boy to Falcon Flight: Learning Resilience
Saturday, 20 September 2025
Jobs Then and Now: A Postcard from the Past, A Prompt for the Future
Dear Friends
Sunday, 14 September 2025
From Chai to ChatGPT: The Evolution of Shared Knowledge
Dear Friends
During our childhood days, the most engaging places in the morning or evening times would be the Tea Stalls and Barber shops. People often visit them not just to sip the tea but to listen and participate in the most engaging conversations. They would range from politics to business. Similarly, barber shops used to be hook centres for entertaining discussions, street gossip, and many more!! In these Tea stalls, there would be 3-4 people to make the discussion active. The rest of the visitors keep an eye and lend an ear to them, while scanning through the newspaper. They will not have the ability to overpower those 3-4 debaters, but give them thumbs up with their nods. I hope many of you might have experienced this.
Did you see any such Tea shops and Barber shops now? Did you observe that these Tea shops have transformed into Coffee Clubs? You can observe a few customers silently sitting in one corner of these shops and browsing through their mobiles. Similarly, these Barber shops are transitioning to Salons, in some advanced locations, to unisex salons! What do you observe there? Again, customers are hooked to screens, scrolling through a few reels. Those engaging conversations have become old-fashioned!
In fact, in those days, especially in rural villages, these shops also acted as social cops! They used to enquire like a friendly interrogation — Where are you coming from? Whose house are you visiting? What are you doing? How much salary are you earning and so on? In fact, whenever we used to go to our grandfather’s village, we used to encounter these questions. Surprisingly, by the time we reach our grandfather’s village (we need to cross 2-3 villages on foot or by bullock cart), these cycle peddlers used to share with our grandfather that we were visiting! This is the kind of neural network that runs there. They used to be much more powerful than AI-based artificial neural networks (ANNs) or Convolutional Neural Networks (CNNs).
Why am I bringing this conversation up? A recent study (Semrush, June 2025) analysed 150,000 citations across AI outputs from ChatGPT, Gemini, Claude, and others — using 5,000+ diverse keywords. Can you guess who is supplying the most information to these LLMs like ChatGPT? You might think Google or Facebook, right? No, surprisingly, 40.1% of citations are coming from Reddit. Next, with Wikipedia 26.3%, YouTube 23.5%, Google 23.3%, StackOverflow 18.7%, etc. As per Steve Nouri, Reddit is now the #1 training source for AI. Reddit isn’t just a forum anymore — it’s the backbone of generative AI.
What does this mean for Builders, Brands, and Founders? Conversations > Content! Authority is being redefined (Not by domain age). A 20,000-word blog post has no significance, but Active Reddit threads, Engaging X posts, and YouTube explainer videos make all the difference. Trust is being crowdsourced. Community is your new homepage!!
Will there be any impact on the UX strategy of product and services companies? Yes, definitely! When we were studying RDBMS (Relational Database Management Systems), information was arranged in rows and columns! For many years, storing an image in the database was a luxury until object databases came. Today, your PDF document, your reel, or your picture on a webpage are all considered as database feeds for your LLMs.
Did you observe any other changes?
Ravi Saripalle
Saturday, 6 September 2025
The Shifting Faces of Friendship and Enmity: Ancient Lessons for Modern World
Dear Friends
Saturday, 30 August 2025
Four Types of Professionals: Where Do You Belong?
Dear Friends,
Recently, the photo of Alejandro
Navarro went viral. He was a devoted math teacher from Texas. He rushed to the
hospital with a severe health crisis. He brought his laptop and charger along
with him. From his ICU bed, he spent his last moments grading papers—making
sure every student’s work was completed and no one was left behind. The next
day, he passed away.
However, many such dedicated
teachers go unnoticed. Having said that, a few teachers spoil the spirit with
their ill attitude. Often, teachers are shown as comedians in many movies, and
that impression is carried among some students. Generally, the true value of a
teacher is unnoticed as the student encounters teachers during
childhood/adolescence. During this age, they wouldn’t have major
responsibilities. Often this phase is carried away with fun and ambiguity, and
they do not recognize the value of the teacher. By the time the student
realizes this fact, there are no teachers mapped. In the process, many times,
the teacher also loses purpose and motivation due to this non-recognition by
their students. On top of this, in current times, the teaching profession has
become commercialized. Revenue generation and recognition have become core
motivational factors.
Where are those great teachers
like Sujit Chattopadhyay? He is fondly known as the Two Rupees Teacher. In
2021, he was awarded the Padma Shri. After retiring in 2004 at the age of 60,
he was concerned about how he would spend his days in retirement. Three girls,
who had travelled 20 kilometres barefoot, arrived at his house one day,
requesting him to teach them. This humble beginning has now grown to enrol more
than 350 children.
Being a teacher myself, sometimes
I feel I am also trapped. I hail from a teacher’s family. My great-grandfather
and maternal grandfather were Sanskrit teachers. My paternal grandfather, my
parents, and my sister were teachers. Later, my spouse left an IT job and
became a teacher. With this background, I also quit my IT job in 2010 and
joined teaching with a specific purpose in mind. I was able to spend almost a
year without salary. The fire in my belly was intact. However, when funds
started drying, I could not sustain that fire and committed to a day job for
salary—of course in teaching. Having said that, I did not lose the purpose, but
it got diluted with different professional and family responsibilities and was
often tagged with certain limitations. In those circumstances, you are no more
labelled as a Mission Teacher.
That was the time I realized the difference between Drifter
Teacher, Mechanic Teacher, Dreamer Teacher, and Mission Teacher. Let me give
the definitions.
- X–Axis (horizontal): Inspiration/Dedication
(Left = Low Dedication, Right = High Dedication).
- Y–Axis (vertical): Purpose (Bottom = Low,
Top = High).
Then the 2x2
matrix would be:
- Bottom Left (Low Purpose, Low Dedication):
Drifter Teacher (neither committed nor purposeful).
- Bottom Right (Low Purpose, High Dedication):
Mechanic Teacher (hardworking but without deeper vision).
- Top Left (High Purpose, Low Dedication):
Dreamer Teacher (inspired but inconsistent in practice).
- Top Right (High Purpose, High Dedication): Mission Teacher (ideal blend, teaching with meaning and effort, without expecting any results—name, fame, money).
When we aspire for growth in
terms of recognition, salary, and promotion, we can never be called Mission
Teachers. They should be by-products. A few reach this level. My maternal
grandfather was a Mission Teacher. However, I rate the rest of my family members
to the level of Mechanical Teachers. Given good health and minimum
self-sustenance, I aspire to attempt once again and retest in the future. Of
course, we are all bound to fulfil certain family responsibilities. Otherwise,
the same world would categorize them as Mission Teachers but irresponsible
towards family.
It is not just limited to
teaching; the same matrix is applicable to every profession. Honestly, which
category do you belong to? Self-reflect.
Saturday, 23 August 2025
Hallucination is Not a Bug, It’s a Feature: Lessons for AI and Humanity
Dear Friends,
Recently, I was watching a documentary on Makoko AKA, Lagos, also known as the Venice of Nigeria—the largest floating slum in Africa. This is a floating village. Long back, we visited Kerala, stayed in a floating cottage and boathouse on the Kochi backwaters, and earlier at the Alleppey backwaters. The purpose there was to recreate in nature. However, the Makoko scene is completely different. I was astonished and amused to witness their life on the waters. It is surrounded by dirty sewage water. People commute using boats, and a few children were swimming in those waters. Constant fear (natural calamities, epidemics, and neighborhood issues) haunts people. In contrast, just opposite this slum, we can witness Lagos city—the largest urban agglomeration in Nigeria and one of the fastest-growing megacities in the world.
Now, what is today’s story? Let’s contemplate the learning & thinking process of kids who grow up in rich conditions versus slum conditions. If you ask them the same question: What are you most scared of?
• A rich kid may respond (of course, not all of them): “Monsters under the bed, using public transportation, or losing power & internet.”
• A slum kid may respond (again, not all): “Demolition of their temporary shelter by the government, floods, hunger, or fights in the neighborhood.”
If a rich kid sees the slum kid’s answer, it causes amusement, and vice versa. There is nothing wrong or right here.
However, there is a huge uproar when it comes to AI responding to a few questions differently. After all, an AI model is like a child. What you feed, how you train—it comes out. Having said that, it is causing huge financial damage to the AI model owners. A human learns year after year and makes decisions. If it goes wrong, we accept it and say “human error.” But we are not giving sufficient time to AI to learn. If it says something wrong, we immediately call it a hallucination. (Dictionary meaning: a sight, sound, smell, taste, or touch that a person believes to be real but is not real.)
A Vectara study found that even the best models still make things up at least 0.7% of the time. According to allaboutai.com, these “hallucinations” caused $67.4 billion in damages globally in 2024.
We all need to understand: Hallucination is NOT A BUG. It is A FEATURE. That is how AI understands and responds—like any average human being’s response. Let’s not misunderstand it. Future jobs will include AI Human Reviewers—teaching AI specific lessons on domains and issues, and reducing hallucination. Later, AI Tutors will comprehensively teach humans! This is going to be a new cycle.
Today, The Hindu published an editorial: “Set the guardrails for AI use in courtrooms.” This was in the context of a recent case where an AI transcription tool repeatedly transcribed the claimant’s name, “Noel”, as “no.” If AI cites a paper—Journal of Applied AI, Vol. 12, 2019—that does not exist, we need to help AI understand the issue. If you ask AI, “What’s the capital of Brazil?” and it confidently replies “Buenos Aires” instead of Brasília, we need to teach the AI. These hallucination scenarios are to be patiently resolved with AI.
In the 1990s, we hired many manual testers to catch software bugs. Over time, manual testers started vanishing, and the era of test automation began. Now the same manual tester is coming back in a new avatar called an AI Human Reviewer. Their job is to catch and correct hallucinations before they reach users.
Human judgment and AI hallucination will always exist. They change from time to time, context to context, data to data, and many more factors. When we accept human judgment in the form of human error or rational decision, the same should apply to hallucination as well. Let’s accept it.
The ultimate solution forever would be to develop AI systems with a Human in the Loop. Fully autonomous systems are not practical for humanity (especially in the Indian context). And a human race without technological aid would also push us back to a primitive state. Both radical scenarios are not good for society.
Wishing policy makers balance this act—especially in the Indian context—with 56 million rich (>30L), 432 million middle class (5L to 30L), 732 million aspirers (1.25L to 5L), and 196 million destitutes (<1.25L) (2021 data). A Bharat AI Policy should cater to these levels, and AI training data should represent these four classes.
Ravi Saripalle
Friday, 15 August 2025
The ₹-Cost of the Tilted Head— How Neck Pain Leads to GDP Pain?
Dear Friends,