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Heated Kalesh in Sylhet Test! Rizwan complains about sightscreen Liton Das fires back: “50 ho gayi, ab acting shuru ho jayegi teri” 😂

#EXCLUSIVE | A Norwegian journalist heckled PM Modi: Does India still need to answer 'why' it has to be trusted? It is an incident of a very immature journalist who has very little knowledge about India: @ErikSolheim, ex-Norway minister #PMModi #MEA #IndiaPolitics #DemocracyDebate #Norway #TheRightStand | @RShivshankar @poonam_burde

India's wedding market: ₹10 lakh crore. India's divorce market: barely exists. We have an entire industrial complex dedicated to getting people married and almost zero infrastructure for when it doesn't work out. Lawyers, mediators, financial planners for separation, co-parenting platforms, post-divorce therapy. All of this is either nonexistent or stigmatised. Clear whitespace.

राँची बिरसा मुंडा जेल में एक 23 वर्षीय मुस्लिम महिला क़ैदी का महीनों तक जेल के ही दो अधिकारियों ने कथित तौर पर यौन शोषण किया। वह गर्भवती हुई, फिर सत्ता और पद के दम पर उसका गर्भपात तक करा दिया गया। दुर्भाग्य यह है कि आरोपित आज भी उसी जेल में पद पर बने हुए हैं, फाइलें संभाल रहे हैं। पीड़िता भी उसी जेल में है। क्या वो वहाँ साक्ष्य नष्ट नहीं करेंगे? प्रशासन @yourBabulal ने इस पर सरकार को घेरा है पर हेमंत सोरेन के कान पर जूँ नहीं रेंगती दिखती।

ये क्या चल रहा है भाई! उधर सपा राष्ट्रीय प्रवक्ता राजकुमार भाटी मानस, मनुस्मृति को कूड़े में फेंकने की बात कहता है, जाट-गुर्जर महिलाओं को 3-4 पति रखने वाली बताता है, ब्राह्मणों को वेश्यायों से भी बदतर कहता है, और इधर मालिक बड़े मंगल का क्रम गिन रहे हैं!

It was our only source of sharing numbers of service providers which is now permanently blocked ! @ajeetbharti @AtriNeeraj @SanjeevSanskrit @JaipurDialogues In this week our app is ready for roll out .

Man burnt alive by wife & mother-in-law does in Delhi. In his dying statement he said his wife has affair with 2-3 men which he objected. When wife was asked to take him to hospital, she allegedly said "let him burn n die"

Khammam, Telangana Meet CI Raju Naik > In 2023, a married woman went to the police station alleging harassment by her husband. > At that time, Raju Naik was serving at Khammam Women Police Station. > She started an affair with him. > She got pregnant and did an abortion. > She told him to marry her, even though she's already married. > When he refused, she filed a rape case saying he lured her with promise of marriage. > A BNS 69 case has been registered against him. > And a non-bailable warrant too. Rape on the pretext of marriage is the worst law. How can someone have consensual relationship for years and later call it rape? He has been called to DIG office and investigation is underway. Is she a victim?

Ludhiana, Punjab Inder Kaur > 29 year old Punjabi singer from Ludhiana, also known as Yashinder Kaur > On May 13, she left home around 8:30 PM to buy groceries in her Ford Figo car > She never returned home > Family says she was kidnapped at gunpoint > Today, her body was found in Neelon Canal near village Kuba in Ludhiana > Family alleged that around 3 years ago, she became friends with a Canada-based man through Instagram > Later, he started forcing her to marry him > Inder Kaur rejected him > Family says he got angry after the rejection > They alleged he came from Canada to Punjab through Nepal only to delete her > After the murder, he allegedly escaped back to Canada through the same Nepal route > Police suspect the accused is Sukhwinder Singh > Family also alleged that he hid the fact that he was already married > Police have started the investigation. Let's hope the investigation is completed fast and the culprit is arrested.

Gwalior, Madhya Pradesh Palak Rajak > A 21 year old newlywed woman who got married to Amit Rajak in April 2025 > Palak made reels and had around 10K followers. > On May 12, she called her father and brother crying for help > She said - Papa save me, they will delete me > Around 20 minutes later, she was found hanging at her in-laws’ house > Her family alleged dowry harassment and murder > They claimed her husband and in-laws were demanding a car and gold chain even after marriage > Family says she was mentally and physically harassed regularly > In-laws claim she died by suicide after locking herself inside a room > It was revealed that she didn't eat for 3 days before her death. > Police have started investigation and are waiting for post-mortem report She had 10K followers. She could've made public reels sharing her story and gone to her parents' home. Girls shouldn't marry guys who ask for dowry. And when they sign a business deal, they should fulfill it before marriage. If someone starts asking for dowry after marriage, that is wrong. However, giving and taking dowry are both illegal. If those men are greedy, those women are too. Let's hope she gets justice.

Bhilwara, Rajasthan Raju Gaur > Raju got married just 4 months ago to Neetu Sharma > Before dying, he stated that his wife was already in a relationship with someone else > When he found out and informed his in-laws, he was beaten > He also said that his wife threatened to file a false case against him > They didn't return his 12 lakh rupees > They also asked for 5 lakhs more > He had proof and videos in WhatsApp chats > Family says he had been mentally disturbed for the last 3 months > He felt there was nobody to listen to him, neither at home nor at his in-laws’ house > Yesterday, he died by suicide Since he is a man, there will be no outrage. No arrests. If the past doesn't matter, why do girls hide it? Note - Some details are unavailable because this is a recent case. I'll update and modify them if things change.

The Miracle City Amusement Park in Panama City, Florida.

😮Everyone is asking AI to help them work faster. This person asked AI to work instead of them.

A researcher spent 20 years working on an idea that was mathematically proven dead in 1969. In 2012, his idea beat every computer vision team in the world by 11 percentage points. In 2024, he won the Nobel Prize. His name is Geoffrey Hinton. His chosen topic: neural networks. He did his PhD at the University of Edinburgh in 1972.His advisor warned him it was career suicide. The entire field had already moved on. He was 24 years old and he did not care. In 1969, two MIT professors named Marvin Minsky and Seymour Papert published a book called "Perceptrons." It was not an opinion. It was a mathematical proof. Neural networks, they demonstrated, could not solve problems more complex than a straight line. They could not learn XOR. They could not generalize. They were, the book concluded, a dead end. Funding collapsed. Labs shut down. Researchers who had spent years on neural networks quietly switched fields. By 1974, what historians now call the first AI Winter had begun. The idea was not just unfashionable. It was considered embarrassing. Hinton did not believe them. Not because he had better math. He just had a different intuition. He suspected Minsky and Papert had not proven that neural networks could not work. They had proven that one-layer neural networks could not work. Nobody had seriously tried stacking the layers. He moved to Carnegie Mellon in 1982. He had no major funding. No institutional backing. No famous collaborators. Just a stubborn belief that the brain did not compute the way expert systems computed and that mimicking the brain more closely would eventually beat everything else. "Learning representations by back-propagating errors." Nature. Co-authored with David Rumelhart and Ronald Williams. Eight pages. It would become one of the most cited scientific papers of the 20th century. At the time, almost nobody read it. A neural network is a series of layers. Each layer is a set of nodes. Each node takes inputs, multiplies them by a weight, and passes the result forward. The question nobody had solved was: how do you teach the middle layers? How do you update weights in a layer that is not directly connected to the output? You run the input forward through the network and get an answer. You measure how wrong the answer is. Then you run the error signal backward layer by layer using the chain rule of calculus. Each layer gets a proportional share of the blame for the mistake. Each weight gets adjusted by exactly how much it contributed to the error. You do this millions of times. The network learns. It was not obvious in 1986. It required treating a neural network not as a fixed logic machine but as a differentiable function — something that calculus could reach inside and reshape. That was the mathematical leap. The chain rule had existed for 300 years. Nobody had thought to apply it this way. While Hinton spent the late 1980s refining backpropagation, the mainstream AI world had moved to Expert Systems. Programs built on thousands of hand-coded rules. IBM was selling them to Fortune 500 companies. The Japanese government launched a $400 million project to build the next generation of symbolic AI. Academic conferences were dominated by researchers who believed intelligence could be captured in logic, not math. Funding dried up again. Expert Systems turned out to be brittle, expensive, and impossible to maintain. But neural networks did not benefit. They were still associated with the failures of the 1970s. Hinton moved to the University of Toronto in 1987, partly because Canada's funding environment was slightly less hostile. His students struggled to get their papers accepted at conferences. Reviewers sent back rejections citing the Minsky-Papert proof — the same proof from 1969 that Hinton had already theoretically answered. The feedback loops of academic consensus are slow and brutal. Being right is not enough. You have to wait for the world to catch up. Yann LeCun, a student adjacent to Hinton's ideas, was at Bell Labs using backpropagation to teach a system to read handwritten digits. It worked well enough to process 10 percent of all checks in the United States by the late 1990s. It was a real-world proof of concept. Almost no one in academic AI connected it to Hinton's framework. They filed it under "engineering trick" and moved on. Hinton and two of his graduate students at the University of Toronto - Alex Krizhevsky and Ilya Sutskever - entered the ImageNet competition. ImageNet was the Olympics of computer vision. 1.2 million images. 1000 categories. The previous year's best error rate was 26 percent. Hinton's team built AlexNet. Their error rate was 15 percent. The second-place team scored 26 percent. The gap was so large the organizers assumed there was an error in the scoring. AlexNet was a deep neural network trained on two consumer-grade graphics cards with 3 million parameters and 650,000 neurons across 5 convolutional layers. It had been built on the architecture Hinton had been refining for 26 years. The entire computer vision field changed direction within 12 months. Papers on neural networks went from a trickle to a flood overnight. The 2012 ImageNet result was not a breakthrough. It was a confirmation. Hinton had known backpropagation worked since 1986. The hardware had simply not been fast enough to prove it at scale. The idea was never wrong. The world was just not yet capable of running it. Twenty-six years of dismissal, and the only thing that needed to change was the GPU. Not computer science but Physics. The Royal Swedish Academy of Sciences decided that what Hinton had built was fundamental enough to sit alongside relativity and quantum mechanics. He was 76 years old. He had waited 55 years for this.. You opened a search engine and it understood your question. You unlocked your phone with your face. You asked ChatGPT something and it answered in full sentences. Every single one of those moments runs on backpropagation. On the math Hinton published in 1986. On the idea his peers called dead in 1969. That is how most of the infrastructure of the modern world works. Invisible foundations. Forgotten builders. The people who shaped your life most directly are almost never the ones you have heard of. In 2023, Hinton left Google and began warning the world about the risks of the technology he had built. He said, publicly, that he was afraid. That he was not sure humanity was ready for what came next. The man who spent 55 years being ignored for being too optimistic about AI is now worried we are all moving too fast. 55 years. One eight-page paper. One man who refused to believe a proof that everyone else accepted as gospel. The most dangerous thing in science is not ignorance. It is the consensus that forms before the experiment is finished.

A boost of Ukraine's production from 2,000 drones a year to 4,000,000...have to count the cost to kill for every Russian...a cost of killing every Russian less than $1,000.

🚨 Political dissident and ex-Pakistan Army officer Adil Raja, now in exile in the UK, flags a widening rift between the Pakistan Army and KP Police, as military operations in the restive province are increasingly seen as state-sanctioned violence against Pashtuns, often labelled ‘Afghans’. With Imran Khan jailed, the political vacuum deepens. Under Asim Munir, the Army is accused of acting like an occupying force, bypassing local police and administration.

He cooked unemployed feminist girls

@Beckycrellin82 Churchill the killer of millions innocent indians

Totally lost for words for the first time in my life 💙thank you to all who has followed me over the last 24hours 🇬🇧 let’s keep pushing forward ❤️💙🤍 #RestoreBritain #UTK

@ABPNews @romanaisarkhan Chup kar nautanki na thodi kam Kiya Hai sharm nahin aati kya

Watch | मॉडल ट्विशा की मौत, बहन ने खोले कई राज! @romanaisarkhan #Bhopal #CrimeNews #BhopalPolice #TwishaSharma #Model #ABPNews

@aajtak Iska matlab to fir to Tum jhooth hi bol rahe ho na shuru se tumne admit hi kar liya tumhari bahan ki histry hai kuchh

ट्विशा शर्मा की भोपाल में हुई संदिग्ध मौत ने सबको झकझोर दिया है. ग्लैमर वर्ल्ड से लेकर कॉरपोरेट सेक्टर में अपनी पहचान बनाने वाली ट्विशा की शादी के 5 महीने बाद ही मौत हो गई. परिवार वालों का आरोप है दहेज की लालच में ट्विशा की हत्या हुई. वहीं ससुराल ट्विशा के मानसिक बीमार का दावा कर रहा है. इस बीच ट्विशा शर्मा की बहन नैना शर्मा ने आजतक से बात की और अपनी बहन के ससुराल वालों पर गंभीर आरोप लगाए हैं. देखें वीड‍ियो. #TwishaSharma #BreakingNews #GiribalaSingh #IndiaNews #ViralNews #ATReel #AajTakSocial