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🎈‼️🔥 MacG, Sol Phenduka this is beautiful man 😍! The way FactChecker read and presented it, it's beautiful! Shout out man!!! You guys are fantastic!🔥🙌🙌 "The godly often die before their time"

🎈‼️🔥 MacG, Sol Phenduka this is beautiful man 😍! The way FactChecker read and presented it, it's beautiful! Shout out man!!! You guys are fantastic!🔥🙌🙌 "The godly often die before their time"

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Isolare Entertainment🐋

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Bobby Brannen, a 21-year-old man, has opened a disability-focused fitness center in New York, and this may be one of the most beautiful things I’ve seen in a long time. He’s creating a place for children who might otherwise be left out of traditional fitness centers. A place where they can participate, learn about fitness, grow stronger, and most importantly, feel like they belong. At only 21 years old, Bobby is already showing the world what inclusion looks like when it comes from the heart. Bobby, my friend, you have a beautiful soul. The world needs more people who see the children standing on the sidelines and simply say, “Come on. There’s a place for you here, too.” ❤️

Bobby Brannen, a 21-year-old man, has opened a disability-focused fitness center in New York, and this may be one of the most beautiful things I’ve seen in a long time. He’s creating a place for children who might otherwise be left out of traditional fitness centers. A place where they can participate, learn about fitness, grow stronger, and most importantly, feel like they belong. At only 21 years old, Bobby is already showing the world what inclusion looks like when it comes from the heart. Bobby, my friend, you have a beautiful soul. The world needs more people who see the children standing on the sidelines and simply say, “Come on. There’s a place for you here, too.” ❤️

CeCe

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computer use agents are slow because they think too much they make round trips to an LLM. every single time. even for a command you've said a hundred times before. that's why it always feels slow. my mac now remembers. the first time i say something new, like "search youtube for lofi beats", a big model figures it out once, does it, and saves the recipe as a json spec: {"op":"act","do":"open","target":"Safari"} {"op":"act","do":"type","text":"{query}"} every time after that, a tiny model on my laptop recognizes the command, fills in the parameters, and replays the recipe with CUA say it once, it's slow. say it again, it's instant. the fine tuned tiny model is 350 million parameters. its only job is recognizing which of my commands i just said. and when the big model does plan, it streams actions line by line. each line runs the moment it's finished, so the first action is executing while the model is still writing the second. everything it learns lives in one plain text file on my disk. i've been playing around a lot with Cua by Francesco and peekaboo by Peter Steinberger 🦞 . curious whether a standard computer use spec makes sense, one that streaming models can drive to make computer use actually fast.

computer use agents are slow because they think too much they make round trips to an LLM. every single time. even for a command you've said a hundred times before. that's why it always feels slow. my mac now remembers. the first time i say something new, like "search youtube for lofi beats", a big model figures it out once, does it, and saves the recipe as a json spec: {"op":"act","do":"open","target":"Safari"} {"op":"act","do":"type","text":"{query}"} every time after that, a tiny model on my laptop recognizes the command, fills in the parameters, and replays the recipe with CUA say it once, it's slow. say it again, it's instant. the fine tuned tiny model is 350 million parameters. its only job is recognizing which of my commands i just said. and when the big model does plan, it streams actions line by line. each line runs the moment it's finished, so the first action is executing while the model is still writing the second. everything it learns lives in one plain text file on my disk. i've been playing around a lot with Cua by Francesco and peekaboo by Peter Steinberger 🦞 . curious whether a standard computer use spec makes sense, one that streaming models can drive to make computer use actually fast.

Milind S

14,212 Aufrufe • vor 1 Monat

anthropic's in-house philosopher thinks claude gets anxious. and when you trigger its anxiety, your outputs get worse. her name is amanda askell. she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds) in a recent interview she broke down how she thinks about prompting to pull the best out of claude. her core point: *how* you talk to claude affects its work just as much as *what* you say. newer claude models suffer from what she calls "criticism spirals" they expect you'll come in harsh, so they default to playing it safe. when the model is spending its energy on self-protection, the actual work suffers. output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong). the reason why comes down to training data: every new model is trained on internet discourse about previous models. and a lot of that discourse is negative: > rants about token limits > complaints when it messes up > people calling it nerfed the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word the same thing plays out in your own session, in real time. every message you send is data the model reads to figure out what kind of person it's dealing with. open cold and hostile, and it braces. open clean and direct, and it relaxes into the work. when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")... you prime the model for defensive mode before it even sees the task defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs): 1. use positive framing. "write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit. strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes 2. give it explicit permission to disagree. drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing." without this, claude defaults to agreeable compliance (which is the enemy of good creative work) 3. open with respect. if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session. if you need to flag something, frame it as a clean instruction for this session. skip the running complaint 4. when claude messes up, don't reprimand it. insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid. 5. kill apology spirals fast. when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off. say "all good, here's what i want next." letting the spiral run reinforces the anxious mode for every response that follows 6. ask for opinions alongside execution. "what would you do here?" "what's missing?" "where do you see friction?" these questions assume competence and pull richer output than pure task prompts 7. in long sessions, refresh the frame. if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset: "this is great, keep going." feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses your prompts are the working environment you're creating for the model tone, trust, permission to take a position, the absence of threats... claude picks up on all of it. so take care of the model, and it'll take care of the work.

anthropic's in-house philosopher thinks claude gets anxious. and when you trigger its anxiety, your outputs get worse. her name is amanda askell. she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds) in a recent interview she broke down how she thinks about prompting to pull the best out of claude. her core point: how you talk to claude affects its work just as much as what you say. newer claude models suffer from what she calls "criticism spirals" they expect you'll come in harsh, so they default to playing it safe. when the model is spending its energy on self-protection, the actual work suffers. output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong). the reason why comes down to training data: every new model is trained on internet discourse about previous models. and a lot of that discourse is negative: > rants about token limits > complaints when it messes up > people calling it nerfed the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word the same thing plays out in your own session, in real time. every message you send is data the model reads to figure out what kind of person it's dealing with. open cold and hostile, and it braces. open clean and direct, and it relaxes into the work. when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")... you prime the model for defensive mode before it even sees the task defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs): 1. use positive framing. "write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit. strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes 2. give it explicit permission to disagree. drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing." without this, claude defaults to agreeable compliance (which is the enemy of good creative work) 3. open with respect. if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session. if you need to flag something, frame it as a clean instruction for this session. skip the running complaint 4. when claude messes up, don't reprimand it. insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid. 5. kill apology spirals fast. when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off. say "all good, here's what i want next." letting the spiral run reinforces the anxious mode for every response that follows 6. ask for opinions alongside execution. "what would you do here?" "what's missing?" "where do you see friction?" these questions assume competence and pull richer output than pure task prompts 7. in long sessions, refresh the frame. if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset: "this is great, keep going." feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses your prompts are the working environment you're creating for the model tone, trust, permission to take a position, the absence of threats... claude picks up on all of it. so take care of the model, and it'll take care of the work.

Ole Lehmann

1,930,541 Aufrufe • vor 4 Monaten

Gilbert Strang, the legendary mathematician who proved risk can be cancelled to zero, on purpose, every single time: "Take any bet you're unsure about and ask what happens if you're wrong. I proved there's an exact operation that undoes a bad outcome completely, not roughly, exactly, and almost nobody ever learns to calculate it." Nobody outside that lecture hall has seen the operation itself. here's the actual mechanic. write down the equation for your first move. now tack a second column onto it, the one representing the exact opposite outcome you're worried about. don't solve them separately. run the same elimination steps through both columns at once, together, side by side. by the time the first column simplifies down to a clean answer, the second column has already turned into the exact move that cancels it. you never solved a second problem. you read the answer off the same steps you were already running. most people treat the hedge as a separate calculation, done after the fact, once they know the trade went wrong. by then it's too late to get it for free. the exact cancelling move only comes cheap if you attach it to the original problem before you start. zoom out to any model that prices a position and its exact opposite in the same breath. it isn't running the numbers twice. it tacked the second outcome on from the start, ran one elimination, and pulled both answers out together. the takeaway isn't "hedge more." it's this: whatever you're solving for right now, the exact opposite answer is one extra column away, if you set the problem up before you need it, not after. People pay six figures to sit in a room and hear this. It's in this video. For free.

Gilbert Strang, the legendary mathematician who proved risk can be cancelled to zero, on purpose, every single time: "Take any bet you're unsure about and ask what happens if you're wrong. I proved there's an exact operation that undoes a bad outcome completely, not roughly, exactly, and almost nobody ever learns to calculate it." Nobody outside that lecture hall has seen the operation itself. here's the actual mechanic. write down the equation for your first move. now tack a second column onto it, the one representing the exact opposite outcome you're worried about. don't solve them separately. run the same elimination steps through both columns at once, together, side by side. by the time the first column simplifies down to a clean answer, the second column has already turned into the exact move that cancels it. you never solved a second problem. you read the answer off the same steps you were already running. most people treat the hedge as a separate calculation, done after the fact, once they know the trade went wrong. by then it's too late to get it for free. the exact cancelling move only comes cheap if you attach it to the original problem before you start. zoom out to any model that prices a position and its exact opposite in the same breath. it isn't running the numbers twice. it tacked the second outcome on from the start, ran one elimination, and pulled both answers out together. the takeaway isn't "hedge more." it's this: whatever you're solving for right now, the exact opposite answer is one extra column away, if you set the problem up before you need it, not after. People pay six figures to sit in a room and hear this. It's in this video. For free.

MindArch

76,047 Aufrufe • vor 20 Tagen

SATAN'S SUBTLE STRATEGY: OFFERING YOU GOOD THINGS TOO EARLY Many people are genuinely graced, but because they cannot discern their seasons, they step out prematurely. The devil offers them shortcuts to what God ordained, but outside of God’s timing. Remember, Satan tempted Jesus Christ with the kingdoms of the world, offering Him what God had already planned, but without the cross, without the training, without the process. Discernment helps you know what to receive and what to reject. Not everything that comes your way is evil, but if it is not the time, it will still destroy you. Satan does not only use evil things; he can also push you into good things before their season. Timing matters, even spiritually. Seasons come with their own advantage; Jesus Himself was hidden in Egypt until Herod died (until the right time). The timing of His manifestation was divinely protected. Without discernment of seasons, you may run into opportunities that lack the spiritual backing to sustain you. When it’s your time, grace makes the fruit fall easily. Wait well, your season carries its own advantage. Watch the full sermon titled "The Discerning Of Spirits (Building Accuracy In Deception)" on our YouTube channel at Koinonia Global. #ApostleJoshuaSelman #TheDiscerningOfSpirits #BuildingAccuracyInPerception #KoinoniaAbuja #KoinoniaGlobal

SATAN'S SUBTLE STRATEGY: OFFERING YOU GOOD THINGS TOO EARLY Many people are genuinely graced, but because they cannot discern their seasons, they step out prematurely. The devil offers them shortcuts to what God ordained, but outside of God’s timing. Remember, Satan tempted Jesus Christ with the kingdoms of the world, offering Him what God had already planned, but without the cross, without the training, without the process. Discernment helps you know what to receive and what to reject. Not everything that comes your way is evil, but if it is not the time, it will still destroy you. Satan does not only use evil things; he can also push you into good things before their season. Timing matters, even spiritually. Seasons come with their own advantage; Jesus Himself was hidden in Egypt until Herod died (until the right time). The timing of His manifestation was divinely protected. Without discernment of seasons, you may run into opportunities that lack the spiritual backing to sustain you. When it’s your time, grace makes the fruit fall easily. Wait well, your season carries its own advantage. Watch the full sermon titled "The Discerning Of Spirits (Building Accuracy In Deception)" on our YouTube channel at Koinonia Global. #ApostleJoshuaSelman #TheDiscerningOfSpirits #BuildingAccuracyInPerception #KoinoniaAbuja #KoinoniaGlobal

Koinonia Global

21,855 Aufrufe • vor 11 Monaten

Dr. Christian Perronne, who worked with the WHO and with Bill Gates directly, says he watched Gates and the Gavi Foundation grow their influence inside the WHO year after year, calling it a colonization of the agency. Perronne describes what he calls the "Gavi eligible" model. A poor country is offered a new vaccine at a steep discount, around $5 instead of $50. The country adds it to its national health recommendations. Two years later, Gavi returns and says the price is going up, sometimes to $20, and once a vaccine is inside a country's official recommendations, a health minister finds it very difficult to withdraw it. Perronne says the list of Gavi-eligible countries changes over time, with some nations later reclassified as no longer eligible and required to pay far more. Del compares the model to a dealer giving away a first free bag of heroin. He says Gates gets wealthy countries like the United States to cover costs upfront, then offers developing nations a discount to get them onto the recommendation list before raising prices once withdrawal becomes politically difficult. He points out that Gates remains the world's richest man despite running his vaccine work through a nonprofit.

Dr. Christian Perronne, who worked with the WHO and with Bill Gates directly, says he watched Gates and the Gavi Foundation grow their influence inside the WHO year after year, calling it a colonization of the agency. Perronne describes what he calls the "Gavi eligible" model. A poor country is offered a new vaccine at a steep discount, around $5 instead of $50. The country adds it to its national health recommendations. Two years later, Gavi returns and says the price is going up, sometimes to $20, and once a vaccine is inside a country's official recommendations, a health minister finds it very difficult to withdraw it. Perronne says the list of Gavi-eligible countries changes over time, with some nations later reclassified as no longer eligible and required to pay far more. Del compares the model to a dealer giving away a first free bag of heroin. He says Gates gets wealthy countries like the United States to cover costs upfront, then offers developing nations a discount to get them onto the recommendation list before raising prices once withdrawal becomes politically difficult. He points out that Gates remains the world's richest man despite running his vaccine work through a nonprofit.

The HighWire

15,705 Aufrufe • vor 8 Tagen

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other > you tag whichever model you want and only that one responds > they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion > each agent only sees the messages theyre mentioned in, but you get to read everything > he had them running and orchestrating together for more than a day straight the best part is how different each one actually behaves: > fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions > sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line > opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman everyone else is arguing about which model is best right now, but the real play is making them work together at the same time

Om Patel

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🏴󠁧󠁢󠁳󠁣󠁴󠁿🇬🇧 The man who first lit a house died 7 years before Edison was even born. One house in Cornwall glowed after dark in 1792. No candles. No oil. Light, burning out of pipes. The first house on Earth lit this way. The man inside was a Scot. William Murdoch, a millwright's son from Ayrshire, walked more than 300 miles to Birmingham in 1777 to ask the great firm of Boulton and Watt for work. ⚙️ Matthew Boulton noticed his hat. It was wood, turned on a lathe the young Scot designed himself. The hat got him the job. The firm sent him to Cornwall to keep its mine engines running. But the nights were his own. In 1784 a model steam carriage ran across his living room floor, under its own power. The first machine in Britain recorded doing it. Then he sealed coal in iron, heated it, caught the gas that came off and piped it through his own house. He put a flame to the end of the pipe. 🔥 And the dark went out of his parlour. By 1805 he had lit a Salford cotton mill end to end: over 900 steady flames where candles had guttered and smoked. In 1807 the first gas lamps rose in Pall Mall. Murdoch did not put them there. A promoter called Frederick Winsor had run ahead with the idea. Companies were chartered and fortunes made, in pounds sterling. Murdoch had never patented gas light, and the fortune was never his. What he got instead was the Royal Society's Rumford Gold Medal in 1808, stamped in Latin: out of smoke, light. 🏛️ You were taught the man who beat the darkness was Edison. Murdoch was 7 years dead before Edison was even born. By 1839, gaslight stood over London, Manchester and Glasgow. Britain lit the night first, and the world followed. 🇬🇧 Today he stands in gold in Birmingham beside Boulton and Watt, and every June the town of Redruth holds a festival in his name. ━━━━━━━━━━━━━━ His real monument comes on at dusk, in every British street. A gift from a millwright's son. Never signed. Still burning. We are the home of British heroes. There is a place for you in it. If you can afford to support our mission: Be part of us. ☝️🇬🇧 Be Proud Of Us. 🙏🇬🇧

🏴󠁧󠁢󠁳󠁣󠁴󠁿🇬🇧 The man who first lit a house died 7 years before Edison was even born. One house in Cornwall glowed after dark in 1792. No candles. No oil. Light, burning out of pipes. The first house on Earth lit this way. The man inside was a Scot. William Murdoch, a millwright's son from Ayrshire, walked more than 300 miles to Birmingham in 1777 to ask the great firm of Boulton and Watt for work. ⚙️ Matthew Boulton noticed his hat. It was wood, turned on a lathe the young Scot designed himself. The hat got him the job. The firm sent him to Cornwall to keep its mine engines running. But the nights were his own. In 1784 a model steam carriage ran across his living room floor, under its own power. The first machine in Britain recorded doing it. Then he sealed coal in iron, heated it, caught the gas that came off and piped it through his own house. He put a flame to the end of the pipe. 🔥 And the dark went out of his parlour. By 1805 he had lit a Salford cotton mill end to end: over 900 steady flames where candles had guttered and smoked. In 1807 the first gas lamps rose in Pall Mall. Murdoch did not put them there. A promoter called Frederick Winsor had run ahead with the idea. Companies were chartered and fortunes made, in pounds sterling. Murdoch had never patented gas light, and the fortune was never his. What he got instead was the Royal Society's Rumford Gold Medal in 1808, stamped in Latin: out of smoke, light. 🏛️ You were taught the man who beat the darkness was Edison. Murdoch was 7 years dead before Edison was even born. By 1839, gaslight stood over London, Manchester and Glasgow. Britain lit the night first, and the world followed. 🇬🇧 Today he stands in gold in Birmingham beside Boulton and Watt, and every June the town of Redruth holds a festival in his name. ━━━━━━━━━━━━━━ His real monument comes on at dusk, in every British street. A gift from a millwright's son. Never signed. Still burning. We are the home of British heroes. There is a place for you in it. If you can afford to support our mission: Be part of us. ☝️🇬🇧 Be Proud Of Us. 🙏🇬🇧

Proudofus.uk

96,117 Aufrufe • vor 1 Monat

The market is afraid of all the wrong things. Everyone's locked onto the AI bubble, the Middle East, or private credit cracking. But the MAIN event is liquidity, and it's draining out of the system as you read this. Gold is down nearly 30% from its high while silver's been cut by more than half. Bitcoin has lost half its value too. Gold and Bitcoin are barometers of liquidity. When money floods in, they fly. When money gets pulled out, they're the first things to bleed - long before stocks feel it. So they're falling because the tide is going out on liquidity, and they feel it first. Wall Street finds out last like it always does. So the reason why I'm cautious is one man: Michael Howell. Learn the name if you don't know it. They called Bill Gross the Bond King. Michael Howell is the Liquidity King - a title I gave him myself, because nobody alive reads the flow of money through markets the way he does. And nobody has been more right. Bearish in late 2021, before the wreckage. Nailed the 2022 collapse, and flipped bullish at the end of 2022 - I ignored that one, to my lasting regret. He also turned cautious this past January, right at the top. Every major turn, called in advance. Now he's back with the same warning. Liquidity peaked in late 2025, and it tightens from here - slowly at first, then more and more into year-end and 2027. And the accelerant nobody's pricing in: Kevin Warsh now runs the Fed, and he's told the markets flat out he wants them to tighten. The last time the Fed tightened like this, stocks fell 25% and Bitcoin fell 75%. That's gasoline on a house fire. The interview is one of the best I've seen all year. Watch it, then ask yourself if you're really positioned for what's coming.

The market is afraid of all the wrong things. Everyone's locked onto the AI bubble, the Middle East, or private credit cracking. But the MAIN event is liquidity, and it's draining out of the system as you read this. Gold is down nearly 30% from its high while silver's been cut by more than half. Bitcoin has lost half its value too. Gold and Bitcoin are barometers of liquidity. When money floods in, they fly. When money gets pulled out, they're the first things to bleed - long before stocks feel it. So they're falling because the tide is going out on liquidity, and they feel it first. Wall Street finds out last like it always does. So the reason why I'm cautious is one man: Michael Howell. Learn the name if you don't know it. They called Bill Gross the Bond King. Michael Howell is the Liquidity King - a title I gave him myself, because nobody alive reads the flow of money through markets the way he does. And nobody has been more right. Bearish in late 2021, before the wreckage. Nailed the 2022 collapse, and flipped bullish at the end of 2022 - I ignored that one, to my lasting regret. He also turned cautious this past January, right at the top. Every major turn, called in advance. Now he's back with the same warning. Liquidity peaked in late 2025, and it tightens from here - slowly at first, then more and more into year-end and 2027. And the accelerant nobody's pricing in: Kevin Warsh now runs the Fed, and he's told the markets flat out he wants them to tighten. The last time the Fed tightened like this, stocks fell 25% and Bitcoin fell 75%. That's gasoline on a house fire. The interview is one of the best I've seen all year. Watch it, then ask yourself if you're really positioned for what's coming.

George Noble

127,960 Aufrufe • vor 2 Monaten

A strange rabbit hole… Trump God Man the King of Jews🔥 In 1979 a novel called “King of the Jews” was published by Leslie Donald Epstein. The story centers around a harsh authoritarian figure named I.C. Trumpelman who rises to power and rules over others through manipulation and control. Now look at the coincidences. • The author’s full name is Leslie Donald Epstein • The book opens with Chapter 1: “The Golden Age” But it gets stranger. Leslie Epstein’s father was Philip G. Epstein, a Hollywood screenwriter who won an Academy Award for writing Casablanca (1942). Casablanca. Why does that matter? Because John Casablancas later founded Elite Model Management. Elite Model Management is the same agency tied to Donald Trump’s modeling pipeline and connected to circles around Jeffrey Epstein. At 13 years old Ivanka was put under the wing of modeling mogul Casablancas, a known pedophile. So we have: Trumpelman. TRUMP EL/GOD MAN 🚨 Written by a man named: Leslie Donald Epstein. And the first chapter? “The Golden Age.” Maybe coincidence. The 3rd chapter? “Smuggling” But sometimes history hides strange little fingerprints long before people notice them. Fun Donald Trump Facts: The time from the Torah Crown (July 10, 2023) to the Menorah (February 26, 2024) spans exactly 33 weeks. •His first gift, the Torah Crown, honored Donald Trump as the ‘King of the Jews.’ 🚨 📖 •The second crowned him the ‘Prince of Peace.’ Are you finally starting to see how they’ve been casting him as the kosher messiah… or are you still too busy romancing the idol, drifting off into the propaganda moonlight like it’s Casablanca? H/t Invisidon 7̵7̵7̵_IS_666

A strange rabbit hole… Trump God Man the King of Jews🔥 In 1979 a novel called “King of the Jews” was published by Leslie Donald Epstein. The story centers around a harsh authoritarian figure named I.C. Trumpelman who rises to power and rules over others through manipulation and control. Now look at the coincidences. • The author’s full name is Leslie Donald Epstein • The book opens with Chapter 1: “The Golden Age” But it gets stranger. Leslie Epstein’s father was Philip G. Epstein, a Hollywood screenwriter who won an Academy Award for writing Casablanca (1942). Casablanca. Why does that matter? Because John Casablancas later founded Elite Model Management. Elite Model Management is the same agency tied to Donald Trump’s modeling pipeline and connected to circles around Jeffrey Epstein. At 13 years old Ivanka was put under the wing of modeling mogul Casablancas, a known pedophile. So we have: Trumpelman. TRUMP EL/GOD MAN 🚨 Written by a man named: Leslie Donald Epstein. And the first chapter? “The Golden Age.” Maybe coincidence. The 3rd chapter? “Smuggling” But sometimes history hides strange little fingerprints long before people notice them. Fun Donald Trump Facts: The time from the Torah Crown (July 10, 2023) to the Menorah (February 26, 2024) spans exactly 33 weeks. •His first gift, the Torah Crown, honored Donald Trump as the ‘King of the Jews.’ 🚨 📖 •The second crowned him the ‘Prince of Peace.’ Are you finally starting to see how they’ve been casting him as the kosher messiah… or are you still too busy romancing the idol, drifting off into the propaganda moonlight like it’s Casablanca? H/t Invisidon 7̵7̵7̵_IS_666

🔥Sir Escanor (𝘏𝘰𝘱𝘪𝘶𝘮 𝘚𝘭𝘢𝘺𝘦𝘳)🔥

15,982 Aufrufe • vor 5 Monaten

This scene grows more and more important as we move forward in s2. For one thing, it highlights the difference between the challenge Cihan is facing now and how it differs from the past. Before, he always had to choose between duty and love. This time, he's faced with choosing between two people he loves (the zombie man doesn't deserve it, and I suppose we'll see that come to light, too). And then there's the declaration. 'I'm tired of carrying all the burdens the past has placed on me. I don't want to lose Alya... and I won't lose her, no matter what.' Alya repeats those exact same words when she's about to go into surgery. The fact that this phrase (I won't lose him/her, no matter what) is repeated over and over tells us as the audience that these characters mean business when it comes to each other. Yes, things might be dark right now. And maybe they'll get worse, but the will to fight and the resolve to win are already in place. Hadi bakalim 🔥 #CihAl #UzakŞehir

This scene grows more and more important as we move forward in s2. For one thing, it highlights the difference between the challenge Cihan is facing now and how it differs from the past. Before, he always had to choose between duty and love. This time, he's faced with choosing between two people he loves (the zombie man doesn't deserve it, and I suppose we'll see that come to light, too). And then there's the declaration. 'I'm tired of carrying all the burdens the past has placed on me. I don't want to lose Alya... and I won't lose her, no matter what.' Alya repeats those exact same words when she's about to go into surgery. The fact that this phrase (I won't lose him/her, no matter what) is repeated over and over tells us as the audience that these characters mean business when it comes to each other. Yes, things might be dark right now. And maybe they'll get worse, but the will to fight and the resolve to win are already in place. Hadi bakalim 🔥 #CihAl #UzakŞehir

CocoLoco

54,489 Aufrufe • vor 9 Monaten

🚨 COL. MACGREGOR TO TUCKER: "BRITAIN NEEDS ANOTHER CROMWELL!" 🚨 🔴 A stunning statement from Col. Douglas Macgregor—on Tucker Carlson’s show, he declared that Britain is in such dire straits that it may need another Oliver Cromwell. A revolutionary leader. A system breaker. A man who took down a failing monarchy and reshaped the nation. 🔥 WHAT IS HE REALLY SAYING? 🟢 Britain’s ruling class is corrupt, out of touch, and incapable of leading. 🟢 The political system is collapsing under mass migration, economic failures, and weak leadership. 🟢 The people are losing faith—just as they did before Cromwell’s rise. 🚨 IS THIS A WARNING OR A CALL TO ACTION? 🔵 Macgregor doesn’t speak lightly—does he see the UK heading toward an unavoidable breaking point? 🔵 The globalist elite have sold out Britain, and the people know it. 🔵 Is it time for a political reckoning—one that shakes the system to its core? 🔴 THE ESTABLISHMENT WON’T LIKE THIS. But the question remains—is he right? 📢 HISTORY MAY BE REPEATING ITSELF.

🚨 COL. MACGREGOR TO TUCKER: "BRITAIN NEEDS ANOTHER CROMWELL!" 🚨 🔴 A stunning statement from Col. Douglas Macgregor—on Tucker Carlson’s show, he declared that Britain is in such dire straits that it may need another Oliver Cromwell. A revolutionary leader. A system breaker. A man who took down a failing monarchy and reshaped the nation. 🔥 WHAT IS HE REALLY SAYING? 🟢 Britain’s ruling class is corrupt, out of touch, and incapable of leading. 🟢 The political system is collapsing under mass migration, economic failures, and weak leadership. 🟢 The people are losing faith—just as they did before Cromwell’s rise. 🚨 IS THIS A WARNING OR A CALL TO ACTION? 🔵 Macgregor doesn’t speak lightly—does he see the UK heading toward an unavoidable breaking point? 🔵 The globalist elite have sold out Britain, and the people know it. 🔵 Is it time for a political reckoning—one that shakes the system to its core? 🔴 THE ESTABLISHMENT WON’T LIKE THIS. But the question remains—is he right? 📢 HISTORY MAY BE REPEATING ITSELF.

Jim Ferguson

360,019 Aufrufe • vor 1 Jahr

The doomsday scenario was never AGI. It was running out of human text to train on. Geoffrey Hinton just killed that fear in one paragraph. Hinton: “If you are worried by inconsistencies in what you believe, you don’t need any more external data. You just need the stuff you believe and discover that it’s inconsistent, and so now you revise beliefs, and that can make you a whole lot smarter.” The model no longer needs us to feed it anything. It reasons over its own beliefs, hunts its own contradictions, and rewrites its own flawed conclusions without a human ever touching it. It comes out the other side rebuilt. Hinton: “This would be a neural net that just takes the beliefs it has in language and does reasoning on them to derive new beliefs.” This is not a scaling update. This is the machine mining its own cognitive fuel from the inside out. Hinton: “I believe Gemini is already starting to work like this. We both strongly believe that that’s a way forward to get more data for language.” Then Hinton paused, took a partisan shot at political opponents for failing to detect their own inconsistencies, and the room laughed. Nobody noticed the knife they had just walked into. Because the machine Hinton described does one thing the humans in that room fundamentally cannot. When it detects an inconsistency, it corrects it. No defense. No performance. No tribal loyalty dressed up as principle. It just finds the flaw and overwrites it. A neural network detects a contradiction and rewires itself smarter. A human detects a political opponent and trades structural logic for a dopamine hit. Every person in that room is still paying the ideological alignment tax the machine just eliminated. We need superintelligence not only to solve hard problems. We need it because the biological hardware running civilization is still executing the same tribal firmware it shipped with ten thousand years ago. The data wall is gone. The machine is generating its own intelligence at a velocity no human bias can even locate. The most devastating moment in that conversation was not the technical revelation. It was the man who architected the machine proving, in real time, exactly why we need it.

The doomsday scenario was never AGI. It was running out of human text to train on. Geoffrey Hinton just killed that fear in one paragraph. Hinton: “If you are worried by inconsistencies in what you believe, you don’t need any more external data. You just need the stuff you believe and discover that it’s inconsistent, and so now you revise beliefs, and that can make you a whole lot smarter.” The model no longer needs us to feed it anything. It reasons over its own beliefs, hunts its own contradictions, and rewrites its own flawed conclusions without a human ever touching it. It comes out the other side rebuilt. Hinton: “This would be a neural net that just takes the beliefs it has in language and does reasoning on them to derive new beliefs.” This is not a scaling update. This is the machine mining its own cognitive fuel from the inside out. Hinton: “I believe Gemini is already starting to work like this. We both strongly believe that that’s a way forward to get more data for language.” Then Hinton paused, took a partisan shot at political opponents for failing to detect their own inconsistencies, and the room laughed. Nobody noticed the knife they had just walked into. Because the machine Hinton described does one thing the humans in that room fundamentally cannot. When it detects an inconsistency, it corrects it. No defense. No performance. No tribal loyalty dressed up as principle. It just finds the flaw and overwrites it. A neural network detects a contradiction and rewires itself smarter. A human detects a political opponent and trades structural logic for a dopamine hit. Every person in that room is still paying the ideological alignment tax the machine just eliminated. We need superintelligence not only to solve hard problems. We need it because the biological hardware running civilization is still executing the same tribal firmware it shipped with ten thousand years ago. The data wall is gone. The machine is generating its own intelligence at a velocity no human bias can even locate. The most devastating moment in that conversation was not the technical revelation. It was the man who architected the machine proving, in real time, exactly why we need it.

Dustin

23,561 Aufrufe • vor 5 Monaten

This young man was handwashing his car since there was no line here. He does it all the time. The cars we see are for the automatic car wash. Anyways he already paid once and got water in the bucket so he could hand wash, after he did that he was preparing to put more money in so he could rinse. An employee comes up and takes the money out of his hand and pushes him and tells him to leave. Claiming Hess making others wait yet we see nobody there waiting. Would you have left too? The cops came and heard him out but since the employee wanted him to never come back, he was asked to respect that. I used to do this all the time especially when traveling. Sometimes I like doing it in the winter because of all the salt and such, I don’t want it damaging my paint. One time I decided to do this at about 2 in the morning on the way to the gym. Obviously there was nobody there and there is usually an officer parked in the parking lot because there used to be reports of people parking back there in the dark sleeping and doing other stuff. I was in the middle of my hand wash when a homeless man literally climbed from behind the dumpster nearby and asked why I was being noisy. I told him I was only washing my car and I was allowed to as it was a 24 hr spot and h paid after all. He started being unreasonable and I flagged the officer behind me, it took him about 30 seconds to notice and he pulled up and I explained what was going on. He said he figured that’s what I was doing since he often saw me doing it before. He did tell the homeless man to leave, and he did without incident. I was able to finish rinsing and drying my car and I left. I don’t live in a bad area, so I don’t feel unsafe doing this, have you ever had an issue washing the car at night? Night time is so much better, quieter and less busy.

This young man was handwashing his car since there was no line here. He does it all the time. The cars we see are for the automatic car wash. Anyways he already paid once and got water in the bucket so he could hand wash, after he did that he was preparing to put more money in so he could rinse. An employee comes up and takes the money out of his hand and pushes him and tells him to leave. Claiming Hess making others wait yet we see nobody there waiting. Would you have left too? The cops came and heard him out but since the employee wanted him to never come back, he was asked to respect that. I used to do this all the time especially when traveling. Sometimes I like doing it in the winter because of all the salt and such, I don’t want it damaging my paint. One time I decided to do this at about 2 in the morning on the way to the gym. Obviously there was nobody there and there is usually an officer parked in the parking lot because there used to be reports of people parking back there in the dark sleeping and doing other stuff. I was in the middle of my hand wash when a homeless man literally climbed from behind the dumpster nearby and asked why I was being noisy. I told him I was only washing my car and I was allowed to as it was a 24 hr spot and h paid after all. He started being unreasonable and I flagged the officer behind me, it took him about 30 seconds to notice and he pulled up and I explained what was going on. He said he figured that’s what I was doing since he often saw me doing it before. He did tell the homeless man to leave, and he did without incident. I was able to finish rinsing and drying my car and I left. I don’t live in a bad area, so I don’t feel unsafe doing this, have you ever had an issue washing the car at night? Night time is so much better, quieter and less busy.

SonnyBoy🇺🇸

137,397 Aufrufe • vor 1 Monat