@namma_vjy@ChristinMP_ https://t.co/E6UVhAu2Zz
I created a layer on top of google maps and added 4 areas which get submerged in rains...this helps from a historic point, what will be awesome will be to add in realtime (like in google step by step navigation)
From a ₹7-a-month school with no benches to the world's biggest fashion runway.
While the world applauded the breathtaking sculptures that came alive at Paris Haute Couture Week, few knew they were witnessing the vision of an Indian boy who once studied under a kerosene lamp.
Rahul Mishra didn't just make it to Paris—he took India's artisans, heritage, and centuries-old craftsmanship with him. And that's the kind of success that truly deserves a standing ovation.❤️
#RahulMishra #ParisHauteCouture #TempleArchitecture #IndianDesigner
[Rahul Mishra, Paris Haute Couture Week 2026, Devi: The Eternal Muse, Indian temple architecture, Indian Fashion Designer]
A cab driver in India firmly stands up for basic respect and his workspace after a passenger lights a cigarette inside the vehicle without asking.
Driver: "Sir, did you ask me before lighting that? Smoking isn't allowed in my car."
Passenger: "Why should I ask? It's a taxi, not your personal car."
Driver: Cancels the ride immediately. "I don't want your money. Please get out. I'm a professional taxi driver, not your servant."
This is a certain kind of talk around LLMs that I find increasingly puzzling. That is all of the people bitching that LLMs constantly generate crap code and hallucinate solutions, and are worthless for programming.
This has almost never happened to me, and never during the last two model generations I have used (chat GPT 5.4 and 5.5). Occasionally a model used to get a little deranged when I pushed its context limit, but under codex that doesn't happen anymore; instead I got a red-highlighted warning when the limit has been exceeded and I need to clear my session.
I've applied AI to feature changes, refactoring, and debugging over 63 different projects written in C, Go, Rust, Python, and shell. I've written documentation with it. I've decompiled a DOS binary into readable source code. It's now routine that whenever I have to touch one of my projects I start by running the regression tests, then fire up codex and asking it to audit the code for bugs and suggest improvements.
My experience is that LLMs are excellent and tremendously empowering tools. Their worst limitation is a kind of architectural tunnel vision - they're extremely good at generating code to specification but sometimes blind to higher-level patterns. Which is okay, it's my meatbrain job to be good at that.
The most valuable thing I find about LLMs is exactly that they *don't* screw up details and edge cases. I'm a very, very good coder by human standards (I'd better be, with 50 years of experience!) but the LLMs are better than me. Because if a code change needs to touch (say) five places in the code, they reliably find all five rather than doing the human thing of fixing four and then having to debug for hours before you figure out that there's a fifth one you missed.
Are the downshouters living in a different universe than me? Are they using old, weak models? Or do they have some kind of skill issue that I can't see because I have mental habits and communication skills that are a good fit for the handles on these tools?
I don't know. And I think this is an important thing to figure out, because I'm seeing lots of stories in the news that suggest billions of dollars are being wasted on misdirected token spend.
It all seems very simple to me. Be clear in your thinking, tell the model what you want with precision, and good things happen.
What...what am I missing here?
@it_unprofession Ur the 21st century BlackAdder. Ur antiques are tummy aching hilarious. You should consider making a TV series out of this. Multi season hit.
@it_unprofession u r a genius! 🤣
I lapped up the line - "as if i had invented a new line"
guru ji
I will look u up when i need new phrases, iti aap ka shishya sadaa
@SamSin91@maheshsunda@DriveSmart_IN If you cant calculate & anticipate dont drive, that is the lesson
i drove a car for 16 years& gave up after seeing savages drive in india. Not a single accident or driving ticket. Another lesson, if you care
@SamSin91@maheshsunda@DriveSmart_IN u r being a smartalec
self preservation makes me predict the path of the shoulder car at 05 seconds in the video
Warning of impact at 07seconds
Impact of red car at 11seconds - a full 4secs to slow down
anyway, 120kmph, u r asking for it
@FengShuiFlowZ one of the most profound things ive read on X - thanks!
-Glow attracts appetite, not stewardship
-Game of power is structurally designed to select the wrong people. It is design not people
@maheshsunda@DriveSmart_IN WRONG - red car shdve slowed down immediately, was oblivious of road condition
What is very odd is the parked car moving from left to right lane(no handbrake, car was in neutral gear with foot on brake?)
@DriveSmart_IN i am sorry to say red car deserved it - 0 anticipation, me me me thinking (insurance companies are not doing much-i fear they are subsidizing by raising insurance for everyone rather than errant drivers like this)
@dmzyxw@fit_fr_nothing glad to hear - i am moving permanently to dhotis(more comfortable than shorts or pants) & a big stfu/idgaf for apologists
In fact, in the vid, the gentleman shdve been panchkachhai :-) much easier to sprint! enjoy process below
https://t.co/f4Ez83NvQH
Who is next after the Ramanujan?
In the mid-20th century, Western academic cartels claimed that advanced mathematics was a European construct, brought to a colonized India via British education. Tekkath Amayankottukurussi Kalathil Sarasvati Amma responded by spending decades deep in the forgotten archives of Kerala, translating archaic Sanskrit palm-leaf manuscripts with razor-sharp mathematical precision.
She proved that centuries before Sir Isaac Newton/Gottfried Leibniz were even born, unheralded Indian astronomers had already built the foundations of calculus & high-level geometry. This is the story of how an Unsung Scholar reclaimed the Intellectual Sovereignty of a Nation.
For generations under colonial rule, a deeply damaging psychological narrative was hammered into the Indian psyche: Your ancestors were mystics & poets, but they lacked the rigorous, logical discipline for advanced science & mathematics. The global academic consensus was that high-level geometry, infinite series, & calculus were the exclusive property of Europe.
India was viewed as a nation that needed to be civilized with Western numbers, completely oblivious to the fact that it had once been the mathematical capital of the world.
T.A. Sarasvati Amma was born in Kerala, a land with a deeply hidden, rich intellectual undercurrent. She was not an "uneducated" woman in the literal sense, she was a brilliant scholar of Sanskrit & Mathematics, but to the global elite who only validated degrees from Oxford/Cambridge/Harvard, she was an outsider working in the shadows.
In the 1950s & 60s, while working under the guidance of legendary scholars like Dr. V. Raghavan at the University of Madras, she realized that the history being taught in schools was a lie. She did not seek validation from Western journals. She went straight to the dirt, the dust & the decaying private libraries of old Kerala families.
She began unearthing 100s of brittle, centuries-old palm-leaf manuscripts written in a highly technical, coded astronomical Sanskrit.
Sarasvati Amma undertook a brutal, lonely intellectual pilgrimage. For yrs, w/o the aid of computers/digital databases/massive research grants, she painstakingly translated & mathematically mapped out texts like the Yuktibhasa, the Karanapaddhati & the Tantrasangraha.
Her pitch to the skeptical academic community was uncompromising: "I will not give you theories. I will give you the exact geometric proofs, calculated centuries before your European heroes walked the earth."
She discovered that in the 14th century, a mathematician named Madhava of Sangamagrama & his disciples in the Kerala School of Mathematics had already solved problems that Europe would not touch until the late 17th century.
Against all odds, in 1979, Sarasvati Amma published her magnum opus: "Geometry in Ancient and Medieval India." It was a masterclass in mathematical archaeology that fundamentally shook the foundations of global history.
She systematically proved that:
The Madhava-Gregory Series: The infinite series for pi*(4 X (1 - 1/3 + 1/5 - 1/7.......), attributed to the Scottish mathematician James Gregory in 1671, was recorded in India 300 yrs earlier.
For the 1st time in modern history, the West could not look down its nose. The proofs were right there, written on palm leaves, preserved by a quiet woman who refused to let her nation’s history be erased.
Sarasvati Amma’s work didn't build corporate empires/software companies, but it did something far more powerful: it restored the intellectual self-respect of an entire civilization. Her book became the absolute gold standard reference for the history of mathematics worldwide, forcing global historians to slowly & reluctantly rewrite their textbooks.
She lived a fiercely quiet, simple life, retiring as a prof & spending her final yrs in her hometown in Kerala, completely disconnected from the blinding lights of fame. She passed away in 2000, largely unknown to the millions of Indian students who daily study the very calculus her work reclaimed.
T.A. Sarasvati Amma proved that the ultimate form of patriotism is the preservation of truth. She showed that a nation’s backbone is nott just built by industrial concrete/military might, but by its memory.
T.A. Sarasvati Amma proved that a lone Indian woman, armed with nothing but dusty palm leaves & an iron will, could rewrite the mathematical history of the world.