Atul Deshpande

Founder, Writer & Blogger: Telecomblogs Media, #SaveSoil

[Atul Deshpande @atuldeshpande]

Legend in making! Kudos to the parents!

[Press Trust of India @PTI_News]

VIDEO | Vaibhav Sooryavanshi's childhood coach, Manish Ojha, revealed how the young boy's mother, Aarti, would prepare lunch for 10-15 people before the father-son duo left for Patna at around 5 am.

"His mother used to get up at 2 am or 2.30 am and would prepare lunch. Not just for Vaibhav or his father or their driver, but also for a couple of bowlers who used to come with them. Then there were net bowlers in our academy too.

"Also, there were a lot of kids who didn't get much support from home, so they used to bring lunch for such kids and feed them," Ojha fondly recalled.

"If good bowlers who got tired, forgot to bring their lunch, they would share Vaibhav's food. So 10-15 people used to come regularly, and you understand that getting up at 2 am in the morning, and making food for so many people, you have to understand how big a contribution it is," he added.

[Atul Deshpande @atuldeshpande]

@Ayussheth Interested

[Forbes @Forbes]

.@sundarpichai joined Google in 2004 to lead development of the Chrome browser. Its success helped propel him to the company's top role, becoming CEO in 2015.

Now, the India-born executive is featured on the #Forbes250 America’s Most Successful Living Immigrants list.
See the full list: https://t.co/2Xgu79oZeb
Illustration: Lina Jaradat for Forbes

[Atul Deshpande @atuldeshpande]

What a story of sheer resilience, sacrifice and temperament! Bravo family!

[Dr Jason Philip. M.S., MCh @Jasonphilip8]

The world sees Praggnanandhaa as a chess prodigy. They see the trophies, the headlines, the victories over Magnus Carlsen,& the enigmatic smile across the board. They didn't see the journey of this Chennai star.

I saw a middle class Tamil family deciding that a child's dream was worth every sacrifice they could make. They don't see a father working tirelessly so that tournament fees could somehow be afforded. They don't see a mother travelling endlessly with her son, carrying home cooked food across continents because every rupee mattered. Yes, even food. They don't see the thousands of lonely hours spent staring at 64 squares while other kids watched Cable TV.

What makes his story remarkable is that he wasn't even the family's 1st chess prodigy. His sister, Vaishali, was already making waves. Many younger siblings would have lived in that shadow. Instead, he quietly built a light of his own.

By 12, he had become one of the youngest Grandmasters in history. But talent alone never explains greatness. Chess at the highest level, is never merely a test of intelligence. It is a test of resilience. Nezhmetdinov, Parimarjan Negi, Sultan Khan... They were all supremely talented. Yet never made it big.

Praggs had the doggedness, when the path was strewn with thorns & pebbles, the peak was not visible. A test of whether you can keep thinking when exhausted, keep believing after defeat,& keep improving when the world isn't watching.

Then came Magnus Carlsen. For most young players, facing Magnus is like standing at the foot of Everest. Praggnanandhaa climbed anyway. He beat him. Then beat him again. And again. What initially looked like an upset slowly became the arrival of a new force.

But perhaps the most extraordinary thing about him is his temperament. In an age that rewards noise, he remains quiet. Unassuming. In a world obsessed with self promotion, he lets his moves speak. He wins without arrogance. He loses without excuses. There is a rare dignity about Praggs.

Sometimes I think about the absurdity of it all. In a universe containing billions of stars and countless worlds, on one small planet, in one corner of Chennai, a boy sat before a chessboard,& dreamt the impossible. Not because success was guaranteed. It never is. Not because the odds were favourable. It never was. But because he loved the game, his family believed in him.

That, more than any rating or title, is what makes Praggnanandhaa special. His story is a reminder that greatness rarely arrives with fanfare. It is built quietly, one sacrifice, one setback, one ordinary day at a time, until suddenly the world looks up and calls it extraordinary. Jai Hind!

[Harsh Goenka @hvgoenka]

A week ago, she couldn't afford her hotel room. A sports drink company were kind enough to pay her hotel bill.
Today, Maja Chwalińska is playing the French Open final.
Ranked 114 in the world, she had to qualify just to enter the tournament.
Nine wins later, she has earned more prize money than in her entire life career, with a minimum of $1.6 million.
A reminder that sometimes life can change in just one week.

[Atul Deshpande @atuldeshpande]

Many congratulations #pragg

[ChessBase India @ChessbaseIndia]

Rameshbabu Praggnanandhaa is the Champion of Norway Chess 2026! With an incredible win on demand against Vincent Keymer in the final round, Praggnanandhaa wins one of the strongest tournaments of the year scoring 18/30 points, 2 classical wins against World no.1 Magnus Carlsen, and an incredible 4-game Winstreak to finish the event!

A huge congratulations to Praggnanandhaa, his team and his family- this is undoubtedly the biggest achievement of his career so far, and what a way to get there!

Graphic: Anmol Bhargav
#chess #norwaychess #Praggnanandhaa

[Atul Deshpande @atuldeshpande]

RCB…RCB…RCB…RCB…

#rcb

[Norway Chess @NorwayChess]

Oops, he did it again! 🔥🇮🇳

#NorwayChess

[Dwarkesh Patel @dwarkesh_sp]

New blackboard lecture w @reinerpope

How do chips actually work – starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do.

0:00:00 – Building a multiply-accumulate from logic gates
0:16:20 – Muxes and the cost of data movement
0:25:59 – How systolic arrays work
0:39:00 – Clock cycles and pipeline registers
0:51:40 – FPGAs vs ASICs
1:03:14 – Cache vs scratchpad
1:07:16 – Why CPU cores are much bigger than GPU cores
1:11:49 – Brains vs chips
1:15:22 – A GPU is just a bunch of tiny TPUs

Look up Dwarkesh Podcast on YouTube/Spotify/etc to watch. Enjoy!

[Supermicro @Supermicro]

Want to see AI Factories in action?
Watch ServeTheHome’s latest video breakdown to see how Supermicro and NVIDIA deliver turnkey AI infrastructure at scale.

[ಸನಾತನ (सनातन) @sanatan_kannada]

Great move by the Mysore City Corporation! 🚀

The wall in front of the Suburban Bus Stand, where people used to openly urinate, now features a shiny steel mirror. A clever and effective solution to stop the nuisance!
We hope citizens will now take greater responsibility and help keep the city clean.

(ವಿಡಿಯೋದಲ್ಲಿ ಬಳಸಿರುವ ಪದಗಳಿಗೂ ನಮಗೂ ಯಾವುದೇ ಸಂಬಂಧವಿರುವುದಿಲ್ಲ)

VC : In_mysuru

@mepratap @yaduveerwadiyar @mysurucitycorp

#Mysore #SwachhMysuru #SwachhBharat #Cleanliness

[BBC World Service @bbcworldservice]

🇮🇳📚Two million books, free for anyone to borrow and read.

That's what Anke Gowda, a retired sugar factory worker from India's southern Karnataka state, has accumulated over the past five decades.

"When you start reading books it is addictive, like tasting candy"

🎧 More about libraries https://t.co/DQvfZ0BI4V

[Massimo @Rainmaker1973]

When you start a chess game, you have 20 possible moves available. After the first full move (White then Black), there are already over 400 possible positions. By the third move, that number jumps to around 8,900, and after the fourth it reaches nearly 200,000.

By the time you get to move #40, the total number of possible games explodes to roughly 10⁴⁰, a number comparable to the total number of atoms in the observable universe.

[ChessBase India @ChessbaseIndia]

It was a rainy night in Sivakasi, and there was a power cut, but it didn't stop 8-year-old Tamizh Amudhan, who was born on the 2nd of September 2017, from playing Freestyle Friday on @chesscom.

The laptop was on, the mobile hotspot was connected, the candle was lit, and the spirit was high as usual. It was 8:30 PM IST on 1st May when Tamizh Amudhan got paired up against World No.7 Vincent Keymer.

Vincent recently qualified for the Freestyle World Championship 2027 after winning Grenke Freestyle 2026, and guess what happened?

Check out the game in this article: https://t.co/LhdMh0vwHV

#chess #chessbaseindia @chess_freestyle @tamizhamudhan_s

[TOI Bengaluru @TOIBengaluru]

#Bengaluru #Rain #Damage

5000 books, worth over Rs 14 lakh, were destroyed after rain water gushed into The Bookworm (a book shop) on Church Street in central part of the city.

@timesofindia

[Vidhya Srinivasan @VidsSrinivasan]

The Universal Commerce Protocol is taking a major step in building the future of agentic commerce with the expansion of its Tech Council. Welcome to @Amazon, @Meta, @Microsoft, @Salesforce and @Stripe.

The success of UCP is an industry-wide effort that requires a true ecosystem approach. Welcome to the new partners joining us to build the future of agentic commerce! 💪

[How To Prompt @HowToPrompt__]

Yann LeCun was right the entire time. And generative AI might be a dead end.

For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute.

The theory was simple: if you make the model big enough, it will eventually understand how the world works.

Yann LeCun said that was stupid.

He argued that generative AI is fundamentally inefficient.

When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details.

It memorizes patterns instead of learning the actual physics of reality.

He proposed a different path: JEPA (Joint-Embedding Predictive Architecture).

Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space."

But for years, JEPA had a fatal flaw.

It suffered from "representation collapse."

Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical.

It learned nothing.

To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads.

Until today.

Researchers just dropped a paper called "LeWorldModel" (LeWM).

They completely solved the collapse problem.

They replaced the complex engineering hacks with a single, elegant mathematical regularizer.

It forces the AI's internal "thoughts" into a perfect Gaussian distribution.

The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions.

The results completely rewrite the economics of AI.

LeWM didn't need a massive, centralized supercomputer.

It has just 15 million parameters.

It trains on a single, standard GPU in a few hours.

Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events.

We spent billions trying to force massive server farms to memorize the internet.

Now, a tiny model running locally on a single graphics card is actually learning how the real world works.

[ChessBase India @ChessbaseIndia]

He believed before the world did ❤️🥹🇮🇳 The legend @Rameshchess 💎

Edit: @ram_abhyudaya
#chess #chessbaseindia #vaishali

[Science girl @sciencegirl]

A surgeon in Shanghai removed a lung tumor from 5,000 km away, remotely controlling a robot operating on a patient in Kashgar.

[Amit Shekhar @amitiitbhu]

My recent 6 articles on X:

- KV Cache in LLMs
- Paged Attention in LLMs
- Causal Masking in Attention
- Byte Pair Encoding in LLMs
- Harness Engineering in AI
- Math behind Attention - Q, K, and V

X is a knowledge sharing platform.