Rahul

The saddest part of the movie was that Hamza and Jaskirat both lost their family, and he can never see them again 💔

Uou might have noticed that Jassi didn't reveal his identity on his own. But once his cover was blown, he had no choice, he had to kill his friend or every one would have known he was a spy right there. Had he not killed Pinda, pinda would have told ISI agents the truth. Thry also show Pinda was high on drugs, thus negotiating with him became even more difficult

This scene hit hard but let’s be real, this plot makes no sense. Aur iske chakkar mei ek asset compromise hogya🥲

- Had to forget his wife and child - Couldn't meet his family - Lost his best friends Sacrificed everything for the country Imagine your family standing right in front of you,close enough to touch but you cannot meet them 🥺 This is what Balidan Parmo Dharma truly is 🙏

Jameel Jamali, who spent 45 years in Pakistan under the cover of a politician, and Alam, living as a simple juice vendor, these characters aren’t just cinematic creations, they reflect a deeper truth about undercover operatives. There are operatives living as businessmen, vendors, drivers… whatever the mission demands. No real name. No real identity. Just a cover. They leave behind their family, their life, their entire existence, just to protect us. Every single day, they live with one fear: that their cover might get exposed… and the moment it does, it’s over. Because they know the harsh truth, if exposed, the same country they gave everything to will have to disown them. And still… they choose to serve. This is the reality of a spy. Brutal, silent, and thankless. Kudos to Aditya Dhar for bringing this truth to the screen...

@Asakemijimi @ReddCinema I appreciate your sentiment, but the cows and pigs non vegetarians eat are hanged upside down in even more brutal fashion

@ReddCinema Only white people are evil enough to hang an elephant They did it to millions of human beings and still did the same evil to animals

The hanging of Mary the Elephant, who was publicly executed in 1916.

My grandfather was forced to sell his property under distress in East Pakistan by his Muslim neighbour. When the neighbour failed to convince my Dadu to sell the house, all he did was cut open a pregnant cow, took the still born calf out, still inside the sac, and threw it in front of the main door. Dadu used to wake up and do Surya Namaskar every day. That morning when he went out, he saw the still born blue calf. Immediately he realised it's time to move. He left. I hope @AdityaDharFilms tells our story someday. He has already entered East Pakistan with the character of Brigadier Jahangir.

@ccphusrox share.google/yBmHmy19B6n2VZ…

My India lives, in tiny pockets, it still does. Eid Mubarak <3

Haider literally called a prachin Mandir as Shaitan ki Gufa but it was not a propaganda but Dhurandhar becomes one cause it doesn't suit your agenda Cope Harder liberandus Dhar will be back again with something much brutal next time

@_SyncreticWorld @DalrympleWill What is HMS?

@Creative_Unity @DalrympleWill HMS DNA since 1925 has been to throw stones at oneself and accuse Muslims. And hire poor Muslims to throw dead pigs in mosques. Otherwise how to sow seeds of hatred? Very difficult.

Wonderful to see. The old India still survives...

@_SyncreticWorld @DalrympleWill Please, entire incident caught on video. This is why Hindus are forced to vote for BJP, by secular Hindus and secular muslims like yourself, never hold extremists within your religion accountable Check out this video, "stone pelting on hindu procession" share.google/yBmHmy19B6n2VZ…

@DalrympleWill *next

@DalrympleWill Hope nect time we (Hindus) will also get flower petals and not stones indiatoday.in/cities/bengalu…

Man stops traffic to allow safe passage to the elephant’s herd… They understand. Reciprocates with thanks & waves at him💕

@Ridhi_Diaries Why is Karnataka most corrupt, i know it is corrupt. But is it more corrupt than MP or Bihar?

As per this map where are you from ? Me : Richest State

MANN-PISHACH — Final Result of this strange experiment: This experiment holds a clear message for those who wish to make such films in the future. You cannot make a film just by throwing “prompts” at AI. The method used is older, much like stop-motion: It just accurately describes the pre-decided elements second-by-second, that is for sure. Most importantly—perhaps this old-school stop-motion technique could be the key that truly unlocks this technology. Now important:This experiment did not work for most people. This isn't an opinion; the raw data says so. The film received roughly 2.2 million impressions. Out of those, 2.8 lakh (280,000) people clicked on it. Meaning, there was curiosity. The CTR is almost 12%, but what happened after clicking is what matters. The average viewer drops off at around 8 to 8.5 minutes, and the film is 80 minutes long. That’s around a 10% completion rate. And initially, almost half the people leave immediately. It’s a straight pattern: people come → watch a bit → many leave → a few proceed. Why do they leave? The same reasons repeat: visuals constantly morph. Faces don't stay consistent. Movements feel a bit off. There isn't a single moment where you can completely "forget yourself" and just watch. People try to adjust, but after a while, it gets exhausting. On top of that, the film doesn't grip the audience from the beginning. It's narration-heavy, quiet, and lacks a conventional cinematic entry point. Surprisingly, there is a small group that stays (12-15%). For them, this isn't a "film" but an "experience." They talk about the atmosphere, the meaning, the symbolism, the restlessness. It's not that they find the visuals perfect, but they tolerate them. These are roughly 2 to 5 thousand people. (Out of 2 lakhs, only around 20 to 25 thousand people could actually watch the entire film, which itself is almost impossible. Watching 80 minutes of AI-generated output is torture—yet they somehow stuck with it.) Reactions are divided into two extremes. There is no middle ground. One group outright rejects it: "feels fake," "is lifeless," "has no soul," "not proper cinema." Some comments are highly aggressive. The second group watches it in a completely different way: they decode it, find meaning, catch the mood. For them, it is a thought-provoking experience. These two groups do not talk to each other. One reacts to the visuals, the other to the idea. A strange thing is visible here. Despite such mixed reactions, YouTube did not bury the film. On the contrary: over 90% of views came from recommendations. (Browse ~40–45% / Suggested ~25–30% / Search ~15–18% / External very low). Meaning: the system itself kept pushing the video to people. Why? Most likely, it found a "fit" audience for it. Not for everyone, but for some small niche. Looking at the growth pattern makes it even clearer. It didn't go viral, but it didn't die either. An initial push, then a gradual slowdown, then stabilizing at around 1 lakh views per 48 hours, and then slowly declining. Meaning: neither an explosion nor a collapse—a graph stuck in the middle. Another important point which speaks volumes about the AI taboo: for 2.8 lakh views, the discussion is extremely minimal. No major debate, no social spread, no wave. Meaning: people watch it quietly but do not share it publicly. This says a lot about the growing external hatred toward AI—yet accompanied by a silent, internal attraction. Now the straightforward question — what does this experiment prove? Just one thing: a single person sitting down, spending a lot of time, with very little money, can make an entire film. But at the same time: it won't necessarily grip the audience emotionally. AI can provide continuity, but not consistency. It can provide movement, but it doesn't carry emotions well. This gap is visible everywhere. For those who wish to make films this way in the future: Watching this experiment made one thing clear: this method can work. But not for everyone, and absolutely not in its current form. · First — The possibility of success exists, but it's highly limited. Data clearly says: you can reach millions of people. But a huge chunk of them won't stay. Only a small fraction reaches the end. Meaning: making it is possible, but holding onto people is still hard. · Second and most important — Relying entirely on prompts achieves nothing. Many people misunderstand this. A film isn't made by "talking" to AI. The working method is reversed: o First, solve the shot on paper. o Then, break it into 5–10–15 second chunks. o Then, create the first frame / last frame. o Then, extract the motion between those two frames from the AI. Meaning: AI isn't creating anything. It is just completing what you've already decided. A prompt is just information. Control lies in the screenplay-storyboard. This method works. And currently, very few people are using it. · Third — A slow start is unaffordable. Absolutely not. In traditional cinema: o Slow burn o Atmosphere build o Philosophical layering These work. Not here. The data straight up says: half the people leave in the first few minutes. Meaning: o The screenplay needs a grip right from the start. o You need something clear, direct, and instantly connecting, otherwise, the audience will get exhausted far faster than they do in traditional cinema. · Fourth — Simplicity is power here. Complex, abstract, layered things: some people like them, but they disconnect the majority. The system isn't at that level yet. "Simplicity is the last form of art" is very literal here. · Fifth — The AI pipeline is a tool, not a replacement. This experiment made one thing clear: AI doesn't make the entire film, it just makes some parts easier. The real work is still here: o Writing o Shot design o Timing o Rhythm AI just accelerates execution. · Sixth — Understanding where to use this is more important. Making a full film with AI is just a curiosity. The real value is probably here: o Pre-visualisation o Complex shots planning o Mood testing o Small sequences Meaning: It's more important to understand where to use AI in real cinema. In the end, simply put: This experiment is complete. Some things in it worked, many did not. But one thing is clear: this technology has been unlocked. But its language hasn't been found yet. Someone will find it sooner or later, and the cinematic world will change. But based on what I learned—the most important aspect, I must share. Unlike us traditional filmmakers who work with teams and physical contents, future AI filmmakers will be very lonely, and the stronger the technology becomes, the faster they will exhaust and age. They will constantly be at grave danger of losing social-human connections, losing the understanding of history (half our understanding of what we create comes from our knowledge of historic artwork). Within the next 2-3 years, when suddenly good AI work starts exploding, and it finally finds its massive audience—they will quickly rise, and fade even faster, if they don’t take care of their health and social life. Till now, the only known form of brain-addiction (without consuming external things) was gambling. Today, I genuinely doubt—that a new pattern of serious addiction is about to explode soon—anything you are creating with AI, which gives a massive brain pull constantly every 2-3 mins. AI filmmaking won't be good for a maker's personal physical-social health, and even emotional growth. Beware. Thanks for reading. - Rahi Anil Barve

Pakistan’s military attacks Afghanistan, killing and injuring innocent civilians. Meanwhile, India sends emergency medicine to help save Afghan lives. And yet, they expect us to prefer team 93k over India? Absolutely not. Actions speak louder than words. 🇦🇫❤️🇮🇳

The unknown gunmen part in Dhurandhar and reality ▪️Zahoor Mistry - 1999 IC-814 hijacker (shot dead in Karachi on 1 march 2022 by unknown gunmen) ▪️Ripudaman Singh Malik - 1985 Air India bombing (shot dead in Surrey on 14 July 2022) ▪️Harvinder Singh Sandhu - 2021 RPG Attack on Punjab police HQ (died of drug overdose at a hospital in Pak - Nov'22 ▪️Bashir Ahmad Peer - HM Commander (shot dead in Rawalpindi on 20 Feb 2023) ▪️Syed Khalid Raza - Al Badr Commander (shot dead outside his house in Karachi on 27 Feb 2023) ▪️Paramjit Singh Panjwar - Khalistani terrorist, chief of Khalistani Commando Force (shot dead in Johar, Pakistan on 6 May 2023) ▪️Syed Noor Shalobar - Militant Commander (shot dead in Bara, KPK on 5 Mar 2023) ▪️Avtar Singh Khanda - Chief of Khalistan Liberation Force & a bomb expert, responsible for the attack on the Indian High Commission in London also the handler of Deep Sidhu & Amritpal Singh (Died due to suspected poisoning in a hospital in Birmingham, UK on 16 June 2023) ▪️Mohammad Laal - ISI Operator (shot dead in Nepal on 19 sept 2022) ▪️Hardeep Singh Nijjar - Canada-based chief of banned Khalistan Tiger Force (KTF) - shot dead outside a gurdwara in British Columbia, Canada on 19 June'23)

@khanumarfa Eud Mubarak Arfa ji🤲, stay safe, stay away from afeem

Eid Mubarak, Hindustan 🤲🏼

Pic 1 ) What Pakistan did to their muslim neighbours. Pic 2) What India did to their muslim neighbours. Whome did you like ?