Nawaz

Yarr tum log mujey ghalat tag krna kb choro gay? :(

@Tormentedsoul30 Ouch….

Because the Armed forces have now become a protected class in it self. They have increased their own salaries, get food at a discounted rate therefore they do not give a flying Nawaz about others.

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Greg Abel had Warren Buffett speak at start of the 2026 Berkshire Hathaway AGM. Buffett spent most of it praising Tim Cook, seated a few rows behind next to John Ternus. Since 2016, Berkshire’s $35B initial investment officially grew to $185B. “About 10 years ago, we made a commitment to move 10% of Berkshire Hathaway resources and turn it over to a person who was not well known at the time. We did that by roughly spending $35B to buy stock in Apple. We turned that money over to Apple to essentially make Berkshire look good without any work by us…which is our preferred way of operating. Ten years later, the $35B — counting dividends, realized appreciation and unrealized appreciation — has turned into $185B pretax. And I didn’t have to do a damn thing. Our largest holding is still Apple [$60B+]. When Tim Cook went into the top position at Apple [in 2011], he succeeded a legend. Steve Jobs. Everyone in America knew his name. Not many knew Tim’s name. Steve did these marvelous things, developing products and he had an untimely death. Everyone asked who would run the company. […] How would you like to step in the shoes of Steve and come through with [Cook’s record]? It’s one of the miracles of American business management. Anyway, thank you Tim.”

Did you know the longest winning streak in ALL of professional sports history doesn't belong to Muhammad Ali, Michael Jordan, or Roger Federer? It belongs to a boy from Karachi who doctors said should never exercise. Jahangir Khan. Pakistani squash player. 555 consecutive wins. 5 years. 8 months. Undefeated. The world forgot to tell his story. We won't. 🇵🇰

@thembekanid @Mafika_TM @SizweDhlomo @UncleCul @StaggaSays THIS….. Came here to say exactly this….

@Mafika_TM @SizweDhlomo @UncleCul @StaggaSays I take it you’re not married?

One of the finest introductions to Pakistan written by anyone, anywhere. 🇵🇰

Michael Phelps won 23 Olympic gold medals using a mental technique most athletes ignore: "The biggest thing that really separated me through my career was my mental game. Everything that was in between my ears." Michael explains how he used visualization: "When I would visualize, I'd visualize every single thing getting up to a meet, probably a month or so in advance. What could happen. What I want to happen. And what I don't want to happen. Because when it happened, I was prepared for it." He describes the goal: "When I got to a swim meet, there's nothing I can control at that point except what I do. I can't control what anybody else does. So I want to know how the race could go, how I don't want the race to go, and in a perfect world, how the race should go. So I could get behind the block and not have to think about anything." His coach Bob Bowman reveals how they trained this skill: "When Michael was young, I gave his mom a book of progressive relaxation. Before he'd go to bed at night, she would read this progression of things: clench your fists, work through your whole body. He got so good she'd just open the book, say two things, and he'd be asleep." Bowman explains why visualization works: "The brain cannot distinguish between something that's vividly visualized and something that's real. By the time Michael steps up on the block at the Olympics, he's swum that race hundreds of times in his mind. All he has to do is shut everything down and it goes on autopilot." Michael adds the key detail most miss: "When I would visualize, it would be what you want it to be, what you don't want it to be, what it could be. So you're always ready for anything. If I have a suit rip, fine, I need another suit, put it on. Any small thing that could go wrong, I'm ready for."

Bir baba, çocuklarını teknolojik cihazlardan uzak tutmak için "Adam düşmesin* oyunu yaptı.

@_amitbehere Hamara bhi aisa hi hay bhayya

#repeat - Dear Pakistanis and others. Please remember. An average Indian is quite different from an average online Indian. Online Indian presence represents the absolute worst of the worst that India has to offer. And these hateful pscyhopaths are funded and enabled by India's Hindutva Government. Not than an average real Indian is some model of humanity (far from it), but no remotely as jhandu as what we appear online.

@khurramsk @ZubairKhanPK Method behind madness, create fake scarcity so that people would gladly pay whatever you ask for next time, helps in budget deficit in 2 months, just milking

@ZubairKhanPK they have lost it completely.

Govt to Put Limits on How Much Petrol a Private Car Owner Can Buy. The Ministry of IT has finalized testing of mobile devices that will be deployed at fuel stations across country, testing of the fuel management application installed on these devices has also been completed.

@KazmiWajahat You don’t know how Futures and Options work, do you? Pakistan government just couldn’t secure it on lower prices man.

Some people are questioning why govt is increasing petrol prices when Pakistani tankers are allowed to pass through Strait of Hormuz. Passing through Strait of Hormuz doesn’t entitle Pakistan any discounts. We have to buy crude oil at international prices which are very high.

@TheSaadKaiser They are sitting

Another embarrassing moment for Sohail Afridi. The representatives of KPK stand with Field Marshal Syed Asim Munir and Pakistan Army! ⚔️🇵🇰

@BakhtawarBZ Own goal

WARNING Massive AI hype being built in a sudden burst (and most of it fake) 1) A scary article: I was surprised to read a long article on Twitter (X) claiming it's just 6-12 months before a Covid-like event changes this world. It claims this will be the AI-event, where most white-collar jobs worldwide would be gone, because AI is that good now. That article got 100 M plus views. Clearly, people are spooked (naturally). So the psy-op has worked. (and I saw other similar dark articles too) 2) Suddenly many influencers are pushing the same narrative, and it so turns out that media reported many are being paid heavy sums by AI firms to push their story (that AI singularity is arriving). But if AI is "revolutionary", does it need an influencer push? No. This should be a clear signal it's hyped. 3) A correction in IT stocks' and SaaS stock's prices is suddenly creating a doom scenario about these companies dying any moment now, with second- and third-order effects on entire economy. Stock investors who haven't studied AI technicals are automatically assuming it's all over, dead, gone, finished. WRONG. NO. 4) What is the truth, and what's most likely to happen? In my opinion, based on years of observing AI trends, reading and learning AI technology, and doing AI at various levels, my take is as follows. I urge you to read this, and preserve your sanity. Please don't panic, nothing catastrophic is happening anytime soon. A) IPO pressure: AI firms are going crazy pushing their God-narrative, as many giant IPOs are lined up soon. They need public to buy their paid subscriptions or else the story goes kaput. So they are creating a false hype. It's shameful, anti-social and deeply hurtful. (Almost all AI firms released doom-scenarios just before their next funding rounds; investors who haven't learnt technology fall for it; pure FOMO. This playbook is so repetitive it's comical) B) OpenAI is spooked: Sam Altman has lost the lead he temporarily managed to build against Google and others, and now his loss-making enterprise isn't the darling of any investor any more. He's terrified. C) Elon Musk's Grok does not have the traction in consumer space anyway near what's needed to make it a profit-making entity. So with many other capex-heavy AI firms. But the GPU / TPU hungry AI ops need more capex each day, not less. It's a dead-end for most except cash rich Googles. D) Enterprise AI is patchy, lagging, slow, choppy: Anyone who has ever built a company, or run a large department, or consulted a business enterprise knows how random, undefined, tacit, and unstructured most of the real world work actually is. No way is AI ever going to replace humans doing those very complex things on a daily basis. No way. Not tomorrow, not in 10 years. NO. (I am not even beginning to get into 'regulated' industries' needs) E) Consumer AI is cool, but has limits: The more AI regular humans (of all ages) use, the more the artificiality of it becomes apparent to anyone. The novelty cannot sustain the commercial numbers needed to make AI (foundation models) profitable. OpenAI and Perplexity would never have given free tiers for most Indians otherwise. They desperately need folks to stick to this opium. F) LLMs aren't solved, Hallucinations aren't zero: The structure of any LLM is such that it will ALWAYS hallucinate, no matter how much fine-tuning humans do. In most sensitive business operations, you cannot allow LLMs to control the core data at all. Can you run an airline with a Generative AI system (LLM-based) that's 98% accurate? Can you run a precision-mfg. operation at 97% accuracy? Can you run a financial services firm with 95% accuracy? NO. NEVER. So the deterministic, old-fashioned computer software ERP will go nowhere. Nowhere at all. LLMs will be good as a top layer on those ERPs to glean insights, nothing more. [ None can 'train away' hallucinations in a probabilistic LLM model, using larger datasets. You are actually claiming I'll build a dice that lands a 4, or a 6, each time ] G) Agents aren't magical, humans aren't going anywhere: Multi-step agentic AI is being touted as the final solution where one founder sitting alone can run 100 agents and build an empire. Try doing that once, experience the frequent breakdowns, see the regular edges and new complexities, and you will realize that other than the most mundane of tasks, nothing else will be seamless. Yes, Voice AI agents are good, and many in the developing world are now deploying those, but that's hardly a cutting-edge technology that'll replace all humans. H) IT and SaaS firms are going nowhere: Ironically, the more AI happens in enterprises, the more will be the need for humans to supervised and orchestrate those bits and pieces of AI, to ensure nothing flies off the rails. The complex software code that Claude and Codex can write only changes the nature of work for the human coders who now have to check the AI code thoroughly for the many edge cases in real world. The nature of IT and SaaS work will change, some companies that can't innovate and adapt will vanish, but many new ones will emerge in their place. (Yes, there'll will be some much-deserved disruption in short-term, and the non-innovating IT firms will have deserved every bit of it) I) If IT and SaaS are dead, why are AI firms hyping: Ask this simple question - if AI is indeed killing IT and SaaS, then why are AI firms spending massive sums hyping their wares? They need spend nothing and still earn the spoils. But they know the truth. J) The China angle: Models from China - many of them open-sourced - are getting better and more competitive. Many of them are cheaper, or free (for now). OpenAI complained recently that they are stealing from American models (via "distillation"). Imagine, just imagine - OpenAI that stole entire internet work of creative work is complaining the Chinese are stealing from it. A dacoit crying that thieves broke into his house. Rich. You think these are signs of singularity? Ha! The judicial backlash on stolen content and profiteering off of it hasn't even begun in most jurisdictions. (now imagine what happens to American LLM-makers when Chinese models gain traction everywhere) K) Downside of mindless AI already visible: Take just one example: In education everywhere, students, parents and teachers are all realizing that mindless AI use is harming the process of learning, not aiding it. The sensible, guarded and limited way AI should be brought into pedagogy hasn't even been given a proper thought. Students are just doing "cognitive offloading", and turning into non-thinking beings. This is bound to collapse sooner than later. Humans as species don't learn this way - it's a long, tortuous and slow process, always. L) AI is normal technology: Serious researchers from the AI field have for years argued that AI is being hyped unnecessarily out of proportion, turned into Snake Oil like propositions, and most of AI's predictive powers are anyway not better than that of astrology. AI's ability to talk to use like humans has totally stumped normal people, and anthropomorphism has kicked in. Since no ERP talked to use like a human would, the computer revolution came about without the singularity fears. M) AI in law and judiciary: The impact will be on the grunt work. It will be cut down substantially. But no judge will outsource their cognition to AI, now will any lawyer. The fact that an LLM can read a complex document fast and summarise it means nothing if it hallucinates. And LLMs will forever hallucinate; that's their structure. (so you'll need humans to sign off on LLM outputs) N) Enterprise AI's lessons: Every company that has mindlessly gone in on AI has learnt that employees just stopped using it if it didn't adapt to the existing workflows. AI cannot magically alter anything: it can speed things up (with hallucinations), it can generate beautiful stuff (needed or not) and it can help save some time, but the company-to-company needs are so different, it cannot be force-fit on all in one shot. (that is what foundation LLM firms are trying to do). Remember: Enterprise work is not just code. It’s messy data, old legacy systems, compliance needs, multiple integrations, business context, human complexities, and more. Services firms are going nowhere. O) AI has no solutions for the human situation: Fertility rates everywhere are dropping. Humans are being converted into permanently marketable selves. Consumption comfort has made us soft, and our morality is totally adrift. AI doesn't solve any of this, it just force-multiplies most of it. We built it. It reflects what we are. 5) So what should you do? a) Read up on AI. Its technical side. How LLMs are created. What they just cannot do. What they can. Why they aren't superhuman at all. Why AI is a good but normal set of technologies. b) Think why regulated industries (at least 25) cannot hand over their future to AI, LLMs, and GenAI. c) Check the history of Indian IT and how it kept rebooting itself to suit a new era (from Y2K, to outsourcing, to SaaS backend support, to much more). d) Check how human societies eventually revolt when artificiality starts overpowering natural human interactions. e) Be prepared for more hype and nonsense. Sadly, the AI firms won't stop at it at all. They need more humans to subscribe to their paid tiers, and fear seems to be the chosen weapon. Tragic. [I am subscribed to more than 10 such paid AI tools currently, and know exactly what's good and what's not, and why no singularity is arriving] f) Adapt your work, and bits of it, to AI tools that can adjust to the workflow well. Let your discretion be supreme. g) If AI is the shiny new tap, IT is the plumbing behind it. Remember: Elon Musk's predictions have mostly gone wrong Geoffrey Hinton's predictions have gone wrong Mustafa Suleyman's predictions have gone bust Yet they keep predicting. Sad part: We are living in an age of bullshit. And LLMs are excellent bullshitting machines. The reason the AI Bros are continuing doing so is no one is holding them accountable for their nonstop lies. But what about AGI: If AGI is ever built, it won't be by any one company. The technology diffuses rapidly each day. So multiple AGIs in multiple hands. Goes without saying governments will capture (claim) that technology almost immediately. If that day ever arrives, UBI is happening too. Finally: Your brain, running on just 20 watts, continues to outthink LLMs fueled by the energy of an entire planet. Never underestimate yourself. And stop falling prey to AI hype.

Prophet Muhammad PBUH said: "The strong believer is better and more beloved to Allah than the weak believer." – Sahih Muslim 2664”

Japanese marathon runner Rei Iida showed incredible determination by crawling the final 300 meters after breaking her leg near the finish line, all to make sure her team could still compete.

It just seems implausible this is what we are made of, essentially, nanotechnology about a billion years beyond anything we can design or make ourselves.

@antmillionsbot If I can create gold, why would I tell the world that I can?

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿. No setup. Secure. Infinitely scalable. We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱. After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone. RT and comment “Twin” — first agents on us. 👇

@hugomercierooo Twin