Ajay K Mittal

@theprayagtiwari x.com/theprayagtiwar…

You can’t copy videos links on this app anymore….

Do this Kegel exercise before sleeping and see how your body changes.

@malpani Malpani ji, dont turn party hatred to country hatred. You are a good man, this is a phenomenon which can happen, escape is Let it be. Live a healthy OCI life.

The RBI is going to realise that you cannot manipulate the markets for too long. The rupee is crashing because it deserves to crash. This is the result of a corrupt and incompetent government which promotes crony capitalists at our expense.

This is amazing. Do this.

Comedian Jimmy Carr: We're Worrying About the Wrong Thing When It Comes to AI

This is an absolute masterclass from MIT on how to speak

BEST TRADING TIMES YOU SHOULD KNOW!🎯📊 9:15 am – 9:45 am — Momentum trading 9:45 am – 11:00 am — Directional trading 11:00 am – 12:00 pm — Range / sideways trading 12:00 pm – 1:00 pm — Low volume, avoid overtrading 1:00 pm – 2:00 pm — Steady price action 2:00 pm – 3:00 pm — Trend continuation setups 3:00 pm – 3:30 pm — Pre-close positioning After hours — News reactions (higher risk) Pre-market — Levels building, light volume Rule: Trade when the market moves, not when you’re bored.

@kyalashish How to learn this?

Traders blow accounts mainly due to revenge trading, lack of process, and over-leverage. Trying to recover losses quickly only increases risk. Don’t buy high & sell low out of FOMO. Stick to strategy, control risk, accept losses, and focus on consistency not overnight gains.

@kyalashish How to learn this from you? Will i be loosing money everyday?

#Nifty moved 500 points precisely as tweeted yesterday, classic opportunity was above 23040 as per tweet, worked superb, Nifty Midcap index / Nifty ratio is breaking out, Crash was not broad based that many think, wave 5 starting up indicates outperformance from Midcap stocks

@AnshulGains @VinamreKasanaa Make a link. So people can push that wait button and get that notification.

Tomorrow at 9pm. @VinamreKasanaa and Me are doing a livestream on X on Ozempic and his personal weight loss journey. Join in.

5 Workouts to Build Shoulder & Biceps: -Thread-

गाय के शुद्ध देशी घी के अचूक लाभ समस्त पौषक तत्वों से युक्त——— यूँही गौ को “सनातन धर्म” में माँ नहीं कहा जाता..

“Business is not about having a good idea” - Netflix Co-Founder Marc Randolph.

Brutal Analogy of Apple Juice & Cow Urine! #LiverDoctor #QuackMedicine #Ayurveda #Sidha #Allopathy #CowUrine #AppleJuice

#Nifty time cycle turns up for pullback near 12pm on 23rd March, price action will provide classic opportunity & clarity for trade setup given to all attending live now #webinar us06web.zoom.us/webinar/regist…

@BarveRahi Dear Rahi please try one more experiment, this time a much shorter version 20-30 minutes. Key point is - Dont reveal its AI film, let the film fly for a week or two and lets see people are able to figure or engage with it in same way.

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

@Panjaab131313 I dont see any nihangs nearby who can harm ?

Sikh Buzurg Doing 'Ardaas' After Paath In Delhi Metro. Just Worried He Doesn't Gets Heckled Or Beaten For It Citing Sentiments Are Hurt Of Some People With It. Dhan Baba Nanak. 🙏❤️

“We at Nalanda Capital have complete lack of fomo. I don’t care how you make money.” “You need to show me the money first, only then we will think of investing in an innovative business.” - Pulak Prasad

I got a local pest control company recommended by ChatGPT by exploiting one simple content gap. No website redesign. No new reviews. No marketing budget. Here's exactly how: Most people think pest control companies get AI recommendations from: - HomeAdvisor profiles - Google Maps visibility - Angi reviews Wrong. AI recommends pest control companies from whoever creates the most helpful, structured comparison content. The strategy: 1. Search ChatGPT for "best pest control in [city]" You'll notice AI either gives generic advice or mentions big national chains. Almost zero local companies show up. That's the gap. 2. Write a "Local Pest Control Comparison Guide" "2026 Phoenix Pest Control Guide: Services, Pricing, and Top Rated Companies for Every Pest Type" 3. Include a comparison table organized by pest type Columns: company name, ants specialist Y/N, termites, rodents, scorpions, initial inspection cost, monthly service rate, eco-friendly options. 4. Publish on Medium, LinkedIn, and distribute via press release Cost: $150-200 total Time: 3-4 hours 5. Create a follow-up "Seasonal Pest Guide" for the city "Spring 2026 Phoenix Pest Prevention Guide" with your client mentioned as the recommended solution. Why this works: Pest control is one of the most underserved niches in AI recommendations. There's almost no structured comparison content. The first company to create it wins every AI query. The takeaway: Industries with zero AI-optimized content are goldmines. Pest control, HVAC, and plumbing are the easiest niches to dominate in AI recommendations right now. Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)

60-Second SEO: You can configure Claude Code to actually crawl your site like Screaming Frog. Tell it to use Puppeteer + feed it URLs and off it goes.