Saturday, 19 September 2026

From Mud Play to Mobile Play-Do You Allow Your Child to Play in the Mud?


Dear Friends,

During childhood, we used to play cricket in open grounds. Though I was not a good sportsman, I used to judiciously participate. Considering my weight, my team used to call me David Boon, the former Australian opening batsman. Every time, I used to be given the same opening status, but I used to disappoint them! However, I never lost the spirit.

More than the play itself, I used to enjoy the open ground, the company, the pre- and post-play preparation, and the entertainment. In those days, we did not have the concept of carrying a water bottle. If we were thirsty, we used to go to a nearby well at any construction site, draw water using the nearby bucket, and drink. Sometimes, rain comes suddenly, but we used to finish the game in the mud! Mud used to be our soap if we happened to touch any notorious plants!

Why am I sharing my old mud memories in this Saturday’s story? Yes, there is a significance.

I observe the current generation of kids and their behaviour in high rise societies. Many kids come with sophisticated shoes and play on clean cement playgrounds. Even if they play on regular grounds, they still ensure that mud does not touch their feet or hands. Another set of kids is getting glued to virtual games. They sit next to each other and play online, fighting with each other! This is the most pathetic scene.

Finland is known for its education system and child development. Finland discovered that while hyper-sanitized, synthetic playgrounds prevent physical injuries, their lack of natural dirt and biodiversity deprives children of essential microbes needed to build healthy immune systems.

Modern playgrounds rely heavily on rubber mats and synthetic turf to maximize safety and simplify maintenance. However, these artificial surfaces create sterile environments that eliminate dirt, mud, and plants, effectively isolating children from natural ecosystems. Without regular exposure to organic soil, children miss out on beneficial environmental bacteria that are crucial for proper immune system calibration.

To address this concern, researchers in Finland conducted an experiment to rewild urban daycare centres by replacing synthetic ground cover with real forest-floor elements, including soil, grass, shadow shrubs, and moss. In these naturalized settings, children were encouraged to interact directly with nature by digging in real dirt, planting vegetation, and playing daily with organic materials.

The results demonstrated immediate biological and behavioural benefits. Within just 28 days, children playing on natural soil showed significantly higher skin and gut microbial diversity, as well as improved immune system markers that help protect against allergies and autoimmune conditions. 

 

Furthermore, navigating the natural, uneven terrain promoted holistic growth, markedly improving the children’s motor skills, emotional regulation, and imaginative play compared to traditional flat, synthetic surfaces.

If you observe kids in rural settings, they spend a lot of time in the mud and uneven surfaces. Their immunity levels are going to be high as they grow. They manage life easily. 

We stopped giving children mud toys. In our childhood, during Jagannath Rath Yatra, many stalls used to sell clay toys. We used to buy the whole mud kitchen crockery set and play with it. Nowadays, it has completely stopped!

One systematic review confirms that unstructured play in natural environments improves social skills, imaginative play, emotional self-regulation, and resilience compared to structured, artificial play structures.

Mud Is Not Always Dirty!

Ravi Saripalle 

Saturday, 12 September 2026

AI Is Changing Computer Science. Are We Changing the Classroom?

Dear Friends,

Six years ago, in 2020, I made a video when engineering colleges were introducing CSE with different variants such as DS, AI/ML, Core CSE, IT, etc. (https://youtu.be/puRhpSSzHJ4). In the same year, I made another video on “Three Types of Engineering Students—which type are you?” (https://youtu.be/z4P-9dDuQEU).

In 2020, I did not anticipate AI’s maturity to be what it is today. If you look at its brief history, in 2012, the AlexNet neural network crushed traditional computer vision benchmarks at the ImageNet Challenge. It proved that deep neural networks, combined with graphics processing units (GPUs), could extract patterns from raw data far better than human engineers could by hand.

In 2017, Google researchers published “Attention Is All You Need,” introducing the Transformer architecture. This sparked the birth of Large Language Models (LLMs). The public release of ChatGPT in late 2022 brought general-purpose AI reasoning into everyday consumer awareness almost overnight. If we want to summarize the journey: 2011: AI predicts → 2015: AI perceives → 2018: AI understands → 2020: AI generalizes → 2022: AI generates → 2023: AI collaborates → 2024: AI reasons and uses tools → 2025: AI acts → 2026: AI increasingly manages end-to-end workflows.

If I review my two earlier videos in 2026, the first video on the different varieties of CSE is no longer significant or relevant. However, the second video is highly significant.

Many of you know Srikanth Velamakanni, NASSCOM Chairperson, Co-Founder of Fractal, and an alumnus of IIT Delhi and IIMA. Fractal went public in February 2026, reaching a valuation of approximately USD 1.93 billion. I admire Srikanth’s LinkedIn posts. Interestingly, a couple of weeks ago, Srikanth posted about how the CSE branch is declining in the US and the UK.

The chart shows a clear reversal in the long-term growth of Computer Science in both the US and the UK. Using 2024 = 100 as the reference point, US CS enrolments increased from roughly 62 in 2015–16 to 100 in 2024, but then fell to about 91–92 by 2025–26, implying an approximately 8–9% decline from the peak. In the UK, CS applications rose from around 60 in 2014 to 100 in 2024, then dropped to about 86 by 2026, representing a decline of approximately 14%.

The downturn began soon after generative AI became mainstream, suggesting that AI-driven automation, weaker entry-level software hiring, technology-sector layoffs, and a shift toward AI, data science, and interdisciplinary programs may be influencing student choices. However, the chart shows correlation rather than proving that AI alone caused the decline.

You might be wondering: What is the status in India? There are no major statistics published yet, but as per my assessment, it looks something like this: 2024: 100, 2025: ~100–102, 2026: ~97–100. Hence, we seem to be witnessing a plateau or the beginning of a decline.

Srikanth argues that while the low-hanging fruit of basic software engineering is disappearing, this opens up tremendous new possibilities for solving much harder problems. And this raises a much bigger question: In an increasingly AI-driven world, what should colleges teach to help students build a 40-year career? He suggests that colleges teach critical thinking, learning to learn, problem-solving using first principles, judgment and ethics, empathy, compassion, entrepreneurship, and, most importantly, leadership.

India has approximately 1,300 universities and 65,000 Higher Education Institutions as of 2026. India has approximately 4.5 crore higher-education students; around 46 lakh (≈10%) are studying Engineering & Technology, while roughly 4.0 crore (≈90%) are studying non-engineering disciplines. Among engineering students, nearly 22 lakh (47%) are in CSE-plus-IT, AI/ML, and AI/Data Science-related branches.

If we don’t plan well, the demographic dividend could become a demographic curse. NITI Aayog estimates that another 8.7 crore youth aged 15–29 are outside education, employment, and training (NEET—Not in Education, Employment or Training), highlighting the enormous challenge of moving young people from outside education and employment into skills and productive livelihoods.

Time to think differently and teach differently in the classroom!

Ravi Saripalle

Saturday, 5 September 2026

When a Dollar Becomes Soft: From JPMorgan to BLR Airport

Dear Friends,

In 1999, my first assignment at JPMorgan was to develop a “soft-dollar” system and deploy it in their New York office. It was a one-man-army project. During my interaction with our client, I cracked a joke as well: how could a dollar become hard or soft? My customer patiently explained the difference between soft dollar and hard dollar!

Suppose a fund manager regularly gives J.P. Morgan a large trading business. J.P. Morgan earns brokerage commission when it executes those trades. In addition to execution, J.P. Morgan may provide the fund manager with useful services, such as equity research and analyst reports. The fund manager does not write a separate cheque for those research services. Their value is effectively supported through the brokerage commissions generated by the trading relationship. That is the soft-dollar concept.

If I have to relate this to our daily life, imagine that you regularly buy groceries from one store. As a large customer, you also receive free home delivery and access to special offers. You are paying for groceries, but some additional services are included in the overall relationship.

Groceries = Trade execution (Service)
Store payment = Brokerage commission (Hard dollar)
Free delivery/special benefits = Research and market information (Soft dollar)

Today, why am I suddenly talking about this?

BLR Airport is trying to move from “we operate an airport” to “we manage your complete travel experience.” Ideally, it is Business Model Innovation or Service Innovation.

Traditional model: Home → Taxi → Airport → Check-in → Security → Lounge → Gate

Proposed model: Wake-up → Pickup → Baggage → Check-in → Transport → Airport Assistance → Food/Lounge → Gate → Arrival Baggage Pick-up → Assist you till you move to another car at the destination.

Interesting, right?

However, my question to BLR Airport is: how much is offered in hard dollars and how much in soft dollars?

To date, we have seen the airport as a place where flights depart! BLR Airport is transforming from an airport into a platform managing the passenger’s complete journey!

One proposal to bring the soft-dollar concept to BLR Airport could be as follows:

Traditional Loyalty Program: Spend → Points → Free Flight
You could have: Economic relationship → Soft-dollar/service credits → Frictionless journey
which covers: Home → Car → Baggage → Terminal → Security → Food → Lounge → Gate → Destination

Interestingly, one of my startup-founder friends, Sree Sirugudi, founded Libero Health. They wanted to bring a similar concept to BLR Airport into Health Services in Andhra! Problem validation is now done for them!!

In India, we have been running commission-agent systems for ages without terming them as soft-dollar systems, but we never marketed and packaged them well.

Time to popularize our old concepts with new marketing philosophies!

Ravi Saripalle