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19 years later… one song has everyone asking the same question. 👀🎙️ Do you know the voice behind Toh Phir Aao? Drop your answer below. ⬇️🕊️ Emraan Hashmi Sony Music India Vishesh Films #Awarapan2 #EmraanHashmi #Emraanians

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Emraanians

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15,757 views • 2 months ago •via X (Twitter)

#Awarapan2#EmraanHashmi#Emraanians
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This peak detailing will surely blow your mind 🚨 Question - There are so many peak details in Dhurandhar. Which one is your fav? Rakesh Bedi 🎙️ - "I've one and not many people know about it. You remember the scene where I poison Dawood? Tirchi topi wale song plays in the background during this. Do you know why? This song is from Tridev, directed by Rajiv Rai. He was attacked by Dawood. His bodyguard got killed, somehow he escaped and left India. Aditya Dhar gave a tribute to him by using this song in a scene where Dawood is getting hospitalised. This is the reason he named this movie Dhurandhar the revenge. Also notice, the whole table ate with their hands but I ate with a spoon at that party, so that I don't get poisoned through my hand." Bro what a genius Aditya Dhar is. I bet no one noticed this peak detailing 🙏
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I’m working from a small village in north east India this week. Place took me 4 modes of transport and 24 hours to get to. Everyone knows everyone here. To a degree that you can step out and everyone will invite you to their house for tea/black coffee because they know you’re someone’s guest. All the houses here have their own private ponds. Fishing is a thing. Growing your own veggies is a thing. People are cooking together today for some festival. Men are cutting vegetables. Women are cooking. People take turns to serve food while others eat. Saw a snake casually chilling by a pond. Nobody budged. This place is like the Australia of India. Messi is really popular here. I’ve met a kids named Messi. Someone from the village paid 10 lakh for a selfie with Messi when he came to Kolkata Rock music has its own fan base in the village children. Arctic monkeys is really popular. So is stranger things. They’re looking at me work on my laptop asking me if this is how I’ll spend all my time. The most interesting day one I’ve had at anyplace in a while.

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Gandalv

42,699 views • 5 months ago

anthropic will sell you opus 5 at $200/mo. openai will sell you gpt-5.6 at $200/mo. neither will tell you the fix that drops your bill to $20 was posted free on langchain's blog on july 18 peter steinberger posted one line asking if we'd moved from loops to graphs yet. 24 hours later there was a manifesto. a week later every ai account had a $497 graph engineering course. all of them wrong about the same thing the sentence that ends the argument, buried in a langchain post nobody quoted: loop engineering isn't an alternative to graphs, so much as a simple version of them the machine, five layers, each wraps the one below: L1 the ask · 23% of errors (anthropic red team, q4 2024) -> "just add more instructions" burns tokens with zero accuracy gain -> real fix: examples, output schema, constraints as positives L2 the context · where 90% of you actually die -> 140,500 tokens where 18,000 would work, 8x the price for the worse answer -> real fix: retrieve, rank, compact, clear dead tool outputs L3 the harness · 31% of "model bugs" are harness bugs (openai safety eval, 2024) -> unbounded file perms = avg $23,400 incident. sandboxed = $0 (stripe internal) -> no timeout = $847 median in api fees before you notice -> real fix: explicit scopes, timeouts, human-required gates L4 the loop · "it stopped" is a loop exit problem -> the verifier said "looks good" to garbage. again -> real fix: machine-checkable exit test, turn cap, rubric L5 the graph · only 12% of teams use graphs in prod (stanford hai, n=2,841) -> 58% of graph failures are wrong-agent selection, not model -> teams abandon graphs saying "harder to debug than a loop." that's a harness problem -> real fix: name every node's specialty, delete decoration fix down, not up. a symptom at layer 4 usually originates at layer 2. a bigger model on a broken harness is a smarter employee locked in the same empty room drop your $200/mo ai sub to $20, check the article below
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anthropic will sell you opus 5 at $200/mo. openai will sell you gpt-5.6 at $200/mo. neither will tell you the fix that drops your bill to $20 was posted free on langchain's blog on july 18 peter steinberger posted one line asking if we'd moved from loops to graphs yet. 24 hours later there was a manifesto. a week later every ai account had a $497 graph engineering course. all of them wrong about the same thing the sentence that ends the argument, buried in a langchain post nobody quoted: loop engineering isn't an alternative to graphs, so much as a simple version of them the machine, five layers, each wraps the one below: L1 the ask · 23% of errors (anthropic red team, q4 2024) -> "just add more instructions" burns tokens with zero accuracy gain -> real fix: examples, output schema, constraints as positives L2 the context · where 90% of you actually die -> 140,500 tokens where 18,000 would work, 8x the price for the worse answer -> real fix: retrieve, rank, compact, clear dead tool outputs L3 the harness · 31% of "model bugs" are harness bugs (openai safety eval, 2024) -> unbounded file perms = avg $23,400 incident. sandboxed = $0 (stripe internal) -> no timeout = $847 median in api fees before you notice -> real fix: explicit scopes, timeouts, human-required gates L4 the loop · "it stopped" is a loop exit problem -> the verifier said "looks good" to garbage. again -> real fix: machine-checkable exit test, turn cap, rubric L5 the graph · only 12% of teams use graphs in prod (stanford hai, n=2,841) -> 58% of graph failures are wrong-agent selection, not model -> teams abandon graphs saying "harder to debug than a loop." that's a harness problem -> real fix: name every node's specialty, delete decoration fix down, not up. a symptom at layer 4 usually originates at layer 2. a bigger model on a broken harness is a smarter employee locked in the same empty room drop your $200/mo ai sub to $20, check the article below

starmex

145,938 views • 1 month ago

Jordan Peterson exposed the business model behind your outrage. Peterson: “People will choose false adventures if they don’t choose real adventures. And being a martyr and being angry and having enemies when they’re unnecessary, those are forms of false adventure.” That is not social commentary. That is a vulnerability disclosure for the human operating system. Two million years of evolution built every circuit in your brain for one job. Survival. Predators. Famine. Plagues that erased bloodlines before anyone could name them. That world is gone. The hardware is not. Remove real threats and the brain doesn’t power down. It hallucinates new ones. Invented enemies. Imagined oppressors. Moral crusades that feel like survival because they run on survival firmware. The institutions found the exploit before you did. They didn’t warn you. They monetized it. Media doesn’t report danger. It manufactures demand for it. Universities don’t cure false adventures. They sell the most expensive ones on the market. Six figures to teach you the system is rigged. The tuition is the proof. Political machines don’t solve crises. They breed them. Then campaign on the antidote. Nobody is suppressing your outrage. They are farming it. Your anger is not a threat to the system. It is the system. The false adventure runs on the same neurochemistry as the real one. Same adrenaline. Same moral certainty. Same tribal belonging. Your body cannot tell the difference between a real threat and a manufactured one. That is the exploit. And every institution feeding you false enemies has a financial incentive to make sure you never patch it. Every civilization that reached peak comfort ran the same program. Not by coincidence. By wiring. Pressure forges people. People build systems. Systems create comfort. Comfort erases the pressure. The cycle has never once been broken from the inside. Rome didn’t fall to barbarians. It fell to Romans who outsourced everything that made them Roman. War to mercenaries. Labor to slaves. Purpose to spectacle. The empire didn’t run out of resources. It ran out of people who remembered what the resources were for. Now drop AI into this. The most powerful technology ever built is arriving in the exact window when the species is most psychologically unmoored. Within a decade AI drives the cost of intelligence toward zero. The machines will not starve us. They will hand us everything. And leave us standing in the most comfortable world ever built with nothing real left to fight for. The false adventures will not slow down. They will become the entire economy. But here is where the pattern breaks. Every civilization before this one ran the program blind. We are the first that can read the code. The question was never whether comfort would arrive. It was whether the false wars would keep you too busy to ever start the real one.
0:11

Jordan Peterson exposed the business model behind your outrage. Peterson: “People will choose false adventures if they don’t choose real adventures. And being a martyr and being angry and having enemies when they’re unnecessary, those are forms of false adventure.” That is not social commentary. That is a vulnerability disclosure for the human operating system. Two million years of evolution built every circuit in your brain for one job. Survival. Predators. Famine. Plagues that erased bloodlines before anyone could name them. That world is gone. The hardware is not. Remove real threats and the brain doesn’t power down. It hallucinates new ones. Invented enemies. Imagined oppressors. Moral crusades that feel like survival because they run on survival firmware. The institutions found the exploit before you did. They didn’t warn you. They monetized it. Media doesn’t report danger. It manufactures demand for it. Universities don’t cure false adventures. They sell the most expensive ones on the market. Six figures to teach you the system is rigged. The tuition is the proof. Political machines don’t solve crises. They breed them. Then campaign on the antidote. Nobody is suppressing your outrage. They are farming it. Your anger is not a threat to the system. It is the system. The false adventure runs on the same neurochemistry as the real one. Same adrenaline. Same moral certainty. Same tribal belonging. Your body cannot tell the difference between a real threat and a manufactured one. That is the exploit. And every institution feeding you false enemies has a financial incentive to make sure you never patch it. Every civilization that reached peak comfort ran the same program. Not by coincidence. By wiring. Pressure forges people. People build systems. Systems create comfort. Comfort erases the pressure. The cycle has never once been broken from the inside. Rome didn’t fall to barbarians. It fell to Romans who outsourced everything that made them Roman. War to mercenaries. Labor to slaves. Purpose to spectacle. The empire didn’t run out of resources. It ran out of people who remembered what the resources were for. Now drop AI into this. The most powerful technology ever built is arriving in the exact window when the species is most psychologically unmoored. Within a decade AI drives the cost of intelligence toward zero. The machines will not starve us. They will hand us everything. And leave us standing in the most comfortable world ever built with nothing real left to fight for. The false adventures will not slow down. They will become the entire economy. But here is where the pattern breaks. Every civilization before this one ran the program blind. We are the first that can read the code. The question was never whether comfort would arrive. It was whether the false wars would keep you too busy to ever start the real one.

Dustin

10,689 views • 2 months ago

whoever leaked this has bigger balls than sense someone gave a fleet of Claude agents shared memory so they would stop contradicting each other, then measured both the bill and the output: the version that talked most made 2.4x the api calls of the version that won, and hallucinated 34% more than doing nothing at all, 0.658 against 0.492 i ran the same question past two of my own agents afterwards and got two different answers about which file owns the config. each one was individually right and the pair was wrong, which is the whole failure in one line this is Graph Engineering, the layer that decides which agents may talk to each other at all, and it installs into the agent you already pay for: - decide which agents may share state at all, because every edge you draw is a channel a mistake can travel down - measure divergence per PAIR instead of as a fleet average, across what they believe about place, time and task history - gate on that number and stop the pair above your threshold before it reasons, rather than repairing the output afterwards - let compressed summaries replace whole states: the verified protocol landed 0.463 against 0.658 for full broadcast - cut the sync frequency until it hurts, since the winning setup used 58% fewer calls than the one that broke it - never propagate a state nobody checked, because the contamination effect came in at d=1.18, a full standard deviation of extra lying - keep the shared layer small enough to diff, which is what a written standard does and a running conversation cannot - re-run the check after every model upgrade, because this was 8 scenarios on one model family at n=30 per condition - and learn where it does not bite: on plain software tasks every condition converged under 0.2 and the whole effect vanished turns out the ranking is the uncomfortable part: verified summaries 0.463, no synchronisation at all 0.492, full broadcast 0.658. the middle option is doing nothing, and it beat the thing everyone builds first the group agreeing is what it looks like when every agent copied the same mistake, which is why a fleet that hallucinates has a replication problem and keeps getting handed a smarter model instead so the question for your own setup: if you asked two of your agents the same thing right now, would they answer the same way bookmark this one. the layer underneath it, deciding which arrows between agents exist at all, is built step by step in the piece below ↓
0:15

whoever leaked this has bigger balls than sense someone gave a fleet of Claude agents shared memory so they would stop contradicting each other, then measured both the bill and the output: the version that talked most made 2.4x the api calls of the version that won, and hallucinated 34% more than doing nothing at all, 0.658 against 0.492 i ran the same question past two of my own agents afterwards and got two different answers about which file owns the config. each one was individually right and the pair was wrong, which is the whole failure in one line this is Graph Engineering, the layer that decides which agents may talk to each other at all, and it installs into the agent you already pay for: - decide which agents may share state at all, because every edge you draw is a channel a mistake can travel down - measure divergence per PAIR instead of as a fleet average, across what they believe about place, time and task history - gate on that number and stop the pair above your threshold before it reasons, rather than repairing the output afterwards - let compressed summaries replace whole states: the verified protocol landed 0.463 against 0.658 for full broadcast - cut the sync frequency until it hurts, since the winning setup used 58% fewer calls than the one that broke it - never propagate a state nobody checked, because the contamination effect came in at d=1.18, a full standard deviation of extra lying - keep the shared layer small enough to diff, which is what a written standard does and a running conversation cannot - re-run the check after every model upgrade, because this was 8 scenarios on one model family at n=30 per condition - and learn where it does not bite: on plain software tasks every condition converged under 0.2 and the whole effect vanished turns out the ranking is the uncomfortable part: verified summaries 0.463, no synchronisation at all 0.492, full broadcast 0.658. the middle option is doing nothing, and it beat the thing everyone builds first the group agreeing is what it looks like when every agent copied the same mistake, which is why a fleet that hallucinates has a replication problem and keeps getting handed a smarter model instead so the question for your own setup: if you asked two of your agents the same thing right now, would they answer the same way bookmark this one. the layer underneath it, deciding which arrows between agents exist at all, is built step by step in the piece below ↓

Argona

724,155 views • 1 month ago

Fellow Kenyans, open your eyes. Stop waiting for the media to tell you the truth they sold that privilege years ago. Today, every major station is an auction floor. Citizen, KTN, NTV they air what the highest bidder wants. Silence is bought. Headlines are bought. Reality is buried. While cameras chase staged events and political PR, your public hospitals are collapsing in real time. Mbagathi is turning patients away. Mama Lucy is barely functioning. Workers are on go-slow because the county hasn’t paid them. Ambulances are parked. Wards are understaffed. Patients are stranded. But turn on the 1PM 7PM 9pm news… nothing. Doctors and nurses are drowning in unpaid bills but expected to treat patients with a smile. How do they serve when they can’t afford to survive? How do they save lives when the system they work for is suffocating them? And when universal healthcare workers were forced into one bank and quietly deducted 40 shillings each over a million people the media didn’t ask a single question. Because you can’t ask questions when your microphone is owned. Our leaders? MCAs, MPs, Senators, Women Reps not one of them is shouting about unpaid medical workers. Apparently their relatives don’t fall sick in public hospitals. Apparently their children don’t queue at KNH at dawn. Apparently pain is only for the poor. Sakaja is presiding over a healthcare breakdown while hiding behind political shields. The government defends him because collapse is easier to cover than accountability. And listen carefully people: The government can gamble with everything else, but not health. Health is life and death. Health is dignity. Health is the one area where lies cannot treat wounds or cure disease. Ruto will fly out for treatment. Kihika will deliver in foreign hospitals. The political class will escape the mess they created. But you the ordinary kenyan are left to fight for a bed at KNH. And the media? Silent. Paid. Busy. Owned. That silence is not accidental. It is deliberate. It is deadly. Now here is the real question: How long will you let silence rule your life? How long will you suffer and then reward the same people at the ballot? Elections are not about noise, rallies, or hashtags. Elections are the one day when the oppressed speak louder than the rich. One day where your suffering becomes your weapon. So mark this clearly: On voting day, don’t complain act. Don’t whisper decide. Don’t say “they’re all the same” choose the one who will fight for your hospital, your medicine, your life. Because if you let these people back in, if you give them another five years, you are signing your own discharge sheet from the very system that is supposed to save you. This time, Kenya must vote like it has learned its lesson. For health. For education. For transport. For dignity. For truth. For survival.
0:16

Fellow Kenyans, open your eyes. Stop waiting for the media to tell you the truth they sold that privilege years ago. Today, every major station is an auction floor. Citizen, KTN, NTV they air what the highest bidder wants. Silence is bought. Headlines are bought. Reality is buried. While cameras chase staged events and political PR, your public hospitals are collapsing in real time. Mbagathi is turning patients away. Mama Lucy is barely functioning. Workers are on go-slow because the county hasn’t paid them. Ambulances are parked. Wards are understaffed. Patients are stranded. But turn on the 1PM 7PM 9pm news… nothing. Doctors and nurses are drowning in unpaid bills but expected to treat patients with a smile. How do they serve when they can’t afford to survive? How do they save lives when the system they work for is suffocating them? And when universal healthcare workers were forced into one bank and quietly deducted 40 shillings each over a million people the media didn’t ask a single question. Because you can’t ask questions when your microphone is owned. Our leaders? MCAs, MPs, Senators, Women Reps not one of them is shouting about unpaid medical workers. Apparently their relatives don’t fall sick in public hospitals. Apparently their children don’t queue at KNH at dawn. Apparently pain is only for the poor. Sakaja is presiding over a healthcare breakdown while hiding behind political shields. The government defends him because collapse is easier to cover than accountability. And listen carefully people: The government can gamble with everything else, but not health. Health is life and death. Health is dignity. Health is the one area where lies cannot treat wounds or cure disease. Ruto will fly out for treatment. Kihika will deliver in foreign hospitals. The political class will escape the mess they created. But you the ordinary kenyan are left to fight for a bed at KNH. And the media? Silent. Paid. Busy. Owned. That silence is not accidental. It is deliberate. It is deadly. Now here is the real question: How long will you let silence rule your life? How long will you suffer and then reward the same people at the ballot? Elections are not about noise, rallies, or hashtags. Elections are the one day when the oppressed speak louder than the rich. One day where your suffering becomes your weapon. So mark this clearly: On voting day, don’t complain act. Don’t whisper decide. Don’t say “they’re all the same” choose the one who will fight for your hospital, your medicine, your life. Because if you let these people back in, if you give them another five years, you are signing your own discharge sheet from the very system that is supposed to save you. This time, Kenya must vote like it has learned its lesson. For health. For education. For transport. For dignity. For truth. For survival.

𝙋𝘼𝙐𝙇. 𝐎. 𝐍𝐄𝐊𝐎

72,227 views • 9 months ago

She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇
0:14

She's 21. She makes $22,000 a month doing nothing, but filming her own life - the gym, the surf, the climbing, the run and letting AI do the rest. She's not a model. She doesn't sell a course. She just lives a full life on camera and every single hobby is a brand category that's desperate for content. The surf clip is a wakeboard brand's ad. The climbing gym wants the bouldering footage. The track session is an activewear drop. The smoothie after is a supplement post. She'd be doing all of it anyway. The only thing she changed was pointing the phone the right way and letting AI turn one week of her actual life into a month of content for the brands behind it. Here's the mechanism. She films her week - no script, no shoot day, just her life. AI cuts it into 20+ reels, writes every caption in each brand's voice, builds the calendar, sends the report that renews the deal. The part that used to need an editor, a writer, a strategist, and a manager is now one chat window. She kept the only thing AI can't do: actually being there, living it. Seven brands across her hobbies. ~$3,200 each. $22,000 a month - at 21, from a phone and a $40 stack of AI. Her cost doesn't move whether she has one brand or ten. That's the whole business. Everyone her age is filming the exact same life and posting it for free, calling it a personal brand. She pointed hers at the brands that pay and let the system carry the 90% that used to cost a five-person agency. This is the part that should sting: the footage was never the hard part, she'd have shot it regardless. The team around it was. And that team just collapsed into a subscription. The full playbook - niches, how to find brands, how to close them is right below. Save it before someone half your motivation reads it first👇

Rich

32,535 views • 2 months ago

I spent 6 months studying Polymarket. Yesterday I realized I was playing chess against people who know my moves in advance. It all started with a simple question: why are some wallets consistently in profit and I'm not? I read the same news. Watched the same debates. Analyzed the same statistics. But they entered the market hours before the news became news. I found a cluster of 12 wallets. They share one thing: they buy when the price hasn't moved yet. And sell when the crowd is just starting to enter. One of them started with $288. Now the account has $666K. No loud trades. No screenshots all over Twitter. Just methodical work. Entry after entry. Week after week. I scrolled through his history and didn't find a single heroic trade. Not one bet that made half the profit. The capital curve is almost a straight line up. While everyone is looking for one trade that will change their life this wallet quietly collects bit by bit. And bit by bit turned into $666K. I started breaking down where they get their information. And realized: they don't predict. They're just closer to the source. Three levels of the food chain on Polymarket: First circle. People who know the journalist personally. Know the article comes out tomorrow morning. Position opened tonight. Second circle. People who see the first circle's activity. Notice that large wallets started moving. Enter right behind. Still before the news. Third circle. You. Read the headline on Twitter. Open Polymarket. Price already moved 40%. Think maybe it'll go higher. Buy at the peak. Guess who's selling you that position? The first two circles. Platform statistics: 84% of traders lose money. That money doesn't disappear. It flows to the remaining 16%. I spent six months trying to get into that 16% through analysis and research. Then I looked at my P&L. And realized the obvious: I will never be in the first circle. I don't have journalist friends. No sources in candidate teams. No insider info. But I can be in the second. You don't need to know what will happen. You need to see who already started moving. Their wallets are public. Their positions are visible to everyone. Their entries can be tracked in real time and copied automatically → Copy the winners: They spend years building connections. You spend seconds copying their trade. They risk reputation and money. You only risk time on setup. I deleted all my indicators. Closed all news tabs. Stopped watching debates. Now I only watch one thing: where the wallets that don't lose are moving. On this market there are two places: Either you're the liquidity being drained. Or you're the shadow of the one draining. Stop being the third circle.
0:13

I spent 6 months studying Polymarket. Yesterday I realized I was playing chess against people who know my moves in advance. It all started with a simple question: why are some wallets consistently in profit and I'm not? I read the same news. Watched the same debates. Analyzed the same statistics. But they entered the market hours before the news became news. I found a cluster of 12 wallets. They share one thing: they buy when the price hasn't moved yet. And sell when the crowd is just starting to enter. One of them started with $288. Now the account has $666K. No loud trades. No screenshots all over Twitter. Just methodical work. Entry after entry. Week after week. I scrolled through his history and didn't find a single heroic trade. Not one bet that made half the profit. The capital curve is almost a straight line up. While everyone is looking for one trade that will change their life this wallet quietly collects bit by bit. And bit by bit turned into $666K. I started breaking down where they get their information. And realized: they don't predict. They're just closer to the source. Three levels of the food chain on Polymarket: First circle. People who know the journalist personally. Know the article comes out tomorrow morning. Position opened tonight. Second circle. People who see the first circle's activity. Notice that large wallets started moving. Enter right behind. Still before the news. Third circle. You. Read the headline on Twitter. Open Polymarket. Price already moved 40%. Think maybe it'll go higher. Buy at the peak. Guess who's selling you that position? The first two circles. Platform statistics: 84% of traders lose money. That money doesn't disappear. It flows to the remaining 16%. I spent six months trying to get into that 16% through analysis and research. Then I looked at my P&L. And realized the obvious: I will never be in the first circle. I don't have journalist friends. No sources in candidate teams. No insider info. But I can be in the second. You don't need to know what will happen. You need to see who already started moving. Their wallets are public. Their positions are visible to everyone. Their entries can be tracked in real time and copied automatically → Copy the winners: They spend years building connections. You spend seconds copying their trade. They risk reputation and money. You only risk time on setup. I deleted all my indicators. Closed all news tabs. Stopped watching debates. Now I only watch one thing: where the wallets that don't lose are moving. On this market there are two places: Either you're the liquidity being drained. Or you're the shadow of the one draining. Stop being the third circle.

Blaze

11,624 views • 7 months ago

They Don’t Work for You The H‑1B Isn’t Just Stealing Jobs... It’s Not Even Doing the Work. They said the H‑1B was about “top talent.” In reality, it’s become a passport for fraud, offshoring, and economic sabotage. Here’s the Game: • The H‑1B gets the badge, the cubicle, the paycheck • The actual work is done by a cousin back in Hyderabad • Remote login, fake résumés, offshore handoffs, it's routine • We train them. They train the next guy. The next guy is in India “He couldn’t answer a single technical question. His cousin was doing the coding from India.” – r/cscareerquestions “I reported it. HR told me to stop being racist.” – r/consulting This isn’t about immigration. It’s a deliberate proxy labor cartel, operating inside your own economy. And It Gets Worse... Every H‑1B is a pipeline: 1. Remittance Drain • $20K–$30K per worker sent abroad annually • That’s over $12 billion gone, not invested in your city, your schools, your community creating more jobs. 2. Proxy Networks & Job Sharing • Visa holder here, subcontractor there • One job split between two countries • Zero accountability 3. Trojan Horse for Offshoring • Train the H‑1B. Lose your job. • Six months later, your whole department is in Bangalore “We trained our Infosys replacements. Six months later we were gone.” – Former U.S. tech worker, r/cscareerquestions The Real Math: • 1 visa = 2 paychecks → One here, one overseas • 1 job = 3 U.S. workers lost → The jobholder, the trainee, and the one who never got the offer • 1 lie = a thousand closed doors → Americans can't compete with a transnational lie This is not a “talent strategy.” It’s job laundering. It’s extraction. It’s theft. And everyone in power knows it. Anyone pushing for more of it is literally selling American jobs for the money their lobby gives them. Globalists love cheap labor - its making the companies they own worth trillions and screwing Americans is just a side bonus they have zero guilt over. There is not a single American worker that benefits from foreign labor or foreign students- no other country on earth is doing what America is. They just keep calling it "diversity"... so you won’t call it what it is: Treason against the American worker. So common yet posting about this could get your post taken down by the very folks exploiting this. It already happened to an account that has been search banned, demonetized, throttled, and yet - keeps growing.
0:19

They Don’t Work for You The H‑1B Isn’t Just Stealing Jobs... It’s Not Even Doing the Work. They said the H‑1B was about “top talent.” In reality, it’s become a passport for fraud, offshoring, and economic sabotage. Here’s the Game: • The H‑1B gets the badge, the cubicle, the paycheck • The actual work is done by a cousin back in Hyderabad • Remote login, fake résumés, offshore handoffs, it's routine • We train them. They train the next guy. The next guy is in India “He couldn’t answer a single technical question. His cousin was doing the coding from India.” – r/cscareerquestions “I reported it. HR told me to stop being racist.” – r/consulting This isn’t about immigration. It’s a deliberate proxy labor cartel, operating inside your own economy. And It Gets Worse... Every H‑1B is a pipeline: 1. Remittance Drain • $20K–$30K per worker sent abroad annually • That’s over $12 billion gone, not invested in your city, your schools, your community creating more jobs. 2. Proxy Networks & Job Sharing • Visa holder here, subcontractor there • One job split between two countries • Zero accountability 3. Trojan Horse for Offshoring • Train the H‑1B. Lose your job. • Six months later, your whole department is in Bangalore “We trained our Infosys replacements. Six months later we were gone.” – Former U.S. tech worker, r/cscareerquestions The Real Math: • 1 visa = 2 paychecks → One here, one overseas • 1 job = 3 U.S. workers lost → The jobholder, the trainee, and the one who never got the offer • 1 lie = a thousand closed doors → Americans can't compete with a transnational lie This is not a “talent strategy.” It’s job laundering. It’s extraction. It’s theft. And everyone in power knows it. Anyone pushing for more of it is literally selling American jobs for the money their lobby gives them. Globalists love cheap labor - its making the companies they own worth trillions and screwing Americans is just a side bonus they have zero guilt over. There is not a single American worker that benefits from foreign labor or foreign students- no other country on earth is doing what America is. They just keep calling it "diversity"... so you won’t call it what it is: Treason against the American worker. So common yet posting about this could get your post taken down by the very folks exploiting this. It already happened to an account that has been search banned, demonetized, throttled, and yet - keeps growing.

Chief_Engineer

13,630 views • 6 months ago