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OpenAI cracked a batch of supposedly quantum-only problems on a regular laptop, and the promised advantage disappeared with them. Speed had nothing to do with it. The model hunted for hidden structure that lets an ordinary machine take the same shortcut. > CLAIM - every published problem pitched as... beyond classical reach, gathered in one place > STRIP - each one reduced to the math it actually asks for, with the pitch removed > HUNT - the model searches for low-rank and sampling structure a laptop can exploit > BUILD - a classical algorithm written for every problem where that structure turned up > RACE - both approaches run on the same instance sizes and timed side by side > KEEP - only the problems that survive the race stay on the quantum list A surprising share of the list did not make it through. Several fell to careful sampling on one ordinary CPU. Their speedup leaned on an assumption, not on physics: that the classical side could only read data one entry at a time. Give the laptop the same access the quantum machine was granted, and the gap closes. None of this makes quantum computing hype. The problems that survived are now the honest ones, with the shortcut ruled out. Every survivor is a stronger case than before, because something tried hard to kill it and failed. The field rarely runs this audit on itself. Nobody gets funded for proving their own speedup was never there. Read on for the surviving problems and every one a laptop took back.show more

wast3

7,207 subscribers

13,440 Aufrufe • vor 1 Monat •via X (Twitter)

Wissenschaft & Technologie Bildung

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21 Kommentare

Profilbild von Gipp 🦅

Gipp 🦅vor 1 Monat

sampling tricks on cpu honestly flagged shortcuts in half the “beyond classical” problems i tried, not even close

Profilbild von hammertime

hammertimevor 1 Monat

AI making quantum researchers rethink their own benchmarks is pretty wild

Profilbild von Codio

Codiovor 1 Monat

these studies were a breakthrough

Profilbild von Eldar Quotient

Eldar Quotientvor 1 Monat

Computing and algorithms are way different.

Profilbild von cortexch

cortexchvor 1 Monat

this is basically dequantization, what ewin tang did by hand in 2018. having a model run it across a whole list is the new part

Profilbild von Ridark

Ridarkvor 1 Monat

You have a truly unique terminal with its own approach for sure for real honestly for real, how did you make it work?

Profilbild von Ouranos Capital

Ouranos Capitalvor 1 Monat

some one give this kid a turing award quick

Profilbild von Sytam

Sytamvor 1 Monat

the real advantage isn't the model itself. it's the workflow you build around it. most people still use ai like a chatbot instead of a team.

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB

安叫兽|Bird🕊️ 🔶 BNBvor 1 Monat

量子电脑还没上场，题目的后门先被找到了

Profilbild von Hrundel75 🐷

Hrundel75 🐷vor 1 Monat

I love the color fileter

Profilbild von beamnxw ./

beamnxw ./vor 1 Monat

quantum speedrun any% just got a patch note lol

Profilbild von monokern

monokernvor 1 Monat

how many problems fell off the list?

Profilbild von Dekos

Dekosvor 1 Monat

This AI impresses me with its capabilities

Profilbild von 𝓔𝓼𝓶𝓮𝔂𝓮𝔂𝓱🌸

𝓔𝓼𝓶𝓮𝔂𝓮𝔂𝓱🌸vor 1 Monat

Does anyone else feel this way? 😘

Profilbild von jose tapia

jose tapiavor 1 Monat

not everything that goes viral deserves to go viral

Profilbild von shmidt

shmidtvor 1 Monat

best visual

Profilbild von Antony Claude

Antony Claudevor 1 Monat

this is kinda mind blowing for qc hype

Profilbild von 0xbobaa

0xbobaavor 1 Monat

I can't believe it's possible to do this on a laptop.

Profilbild von Alexander

Alexandervor 1 Monat

Funny how every "quantum breakthrough" ends up being a pattern hunt. Same thing killed most poker bots.

Profilbild von Insomnia

Insomniavor 1 Monat

how I can making this too?

Profilbild von Martin

Martinvor 1 Monat

Conseguite una IA de pago para que te redacte los tuits porque este hilo parece redactado por un chimpancé

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BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

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Six Five Media

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watch the small one on the left. it hears something at 00:05 and does nothing clever with it it just passes it on that is the whole trick. echo isolates a trace in ambient noise. moth follows the noise. kite finds a shorter route to it. vex starts collecting fragments. halo keeps the pattern so nobody has to look for it twice. nobody assigned any of that coherence in the top corner opens the cycle at 18%. by the time the wave crosses the field it is past 75%, and not one instruction was typed while it happened most people building agent teams do this backwards. they write a dispatcher, a queue, a state machine, and then wonder why five bots are slower than one. five bots stay slower than one until they can read each other's job descriptions and hand work sideways with no human standing in the middle three ways this breaks before it works: → give every bot the same description and the orchestrator has nothing to route on. every task comes straight back to you → let two bots own the same folder and they overwrite each other for six hours. you wake up to a clean, empty, perfectly synced nothing → skip the boundary line in one charter and that bot will send something. once is plenty to learn that lesson twenty agents run on one seat here. cheaper than a standup for three humans, and none of them ask what the priority is most setups have one agent and a bottleneck made of a person. this one has twenty, and the interesting part happens while nobody is watching full charters, the routing rule and the one line that stops a bot mid-send are in the piece below

monokern

12,612 Aufrufe • vor 1 Monat

Claude built Claude. The current model now does most of the work of building the next one, and the next one will do more of the work on the one after that... Once that process runs on its own it hyper accelerates, because the slowest part of the loop has always been us. Emad takes it to the obvious place. How do you outcompete a company that runs entirely on agents? You dont. Cognitively the human on the team goes from the asset to the bottleneck, and thats before the models get any better, which they are, every few weeks at an ever-increasing pace. Scary if you read it as you versus the machine. But it isnt a competition... Every time tools have built tools, the people who did well werent the ones who tried to out work the machine... they were the ones who owned it. Compute, energy, the rails the agents settle on. Thats where the value pools, and for the first time in history its something anyone can own a piece of.

Claude built Claude. The current model now does most of the work of building the next one, and the next one will do more of the work on the one after that... Once that process runs on its own it hyper accelerates, because the slowest part of the loop has always been us. Emad takes it to the obvious place. How do you outcompete a company that runs entirely on agents? You dont. Cognitively the human on the team goes from the asset to the bottleneck, and thats before the models get any better, which they are, every few weeks at an ever-increasing pace. Scary if you read it as you versus the machine. But it isnt a competition... Every time tools have built tools, the people who did well werent the ones who tried to out work the machine... they were the ones who owned it. Compute, energy, the rails the agents settle on. Thats where the value pools, and for the first time in history its something anyone can own a piece of.

Raoul Pal

86,547 Aufrufe • vor 1 Monat

How to make more then 40% profit each month on Polymarket > Open polymarket > Search for largest companies end of month > Place a trade on the top one company ( NVIDIA ) > Now go to the another version of it second largest and third largest > Do the same pick the top one > Close the laptop > Open the laptop with more then 40% profit I'm wondering why no one is doing that?

How to make more then 40% profit each month on Polymarket > Open polymarket > Search for largest companies end of month > Place a trade on the top one company ( NVIDIA ) > Now go to the another version of it second largest and third largest > Do the same pick the top one > Close the laptop > Open the laptop with more then 40% profit I'm wondering why no one is doing that?

karcharodon

23,408 Aufrufe • vor 3 Monaten

you numbered the steps so it could not get lost it does not get lost that list was written for a model that wandered, and this one plans better than the list does, so every number you added is a place where it is no longer allowed, to be smarter than you state the goal, the constraints, and how you will know it worked keep the numbers only where exactly one sequence is safe, which is deletes, auth and compliance the procedure felt like rigour it is a cage built to the dimensions of a model that is not in the room

you numbered the steps so it could not get lost it does not get lost that list was written for a model that wandered, and this one plans better than the list does, so every number you added is a place where it is no longer allowed, to be smarter than you state the goal, the constraints, and how you will know it worked keep the numbers only where exactly one sequence is safe, which is deletes, auth and compliance the procedure felt like rigour it is a cage built to the dimensions of a model that is not in the room

Lagosaur

14,857 Aufrufe • vor 2 Monaten

Intelligence was the one thing that never scaled. We scaled everything else. Steel. Energy. Compute. The one resource that built all of it never left the skull. Musk: “People thought defeating Go was either never or 20 years away.” Twelve months later it was over. Musk: “Now that same AlphaGo system can defeat the top 50 players simultaneously with 0% chance of them winning. And that’s one year later.” Fifty lifetimes of mastery against a system that does not know it is playing a game. Zero percent chance. That was not a competition. That was a preview. Musk: “The degrees of freedom to which artificial intelligence is able to apply itself are really increasing by 10 orders of magnitude a year.” Ten billion times. Every twelve months. No brain alive can visualize that number. By design. Every hard problem that ever defeated us did it for the same reason. Not complexity. Scarcity. The only mind capable of solving it was biological and there was never enough of it. Cancer. Fusion. Climate. The physics we cannot even see yet. Not waiting on more data. Waiting on something that can think at a scale biology never allowed. That just arrived. Most people hear this and reduce it to a question about their paycheck. They are watching the single largest expansion of capability in the history of life on this planet and worrying about a job title. For ten thousand years intelligence had one speed. One brain. One lifetime. Every civilization on earth throttled by the same biological ceiling. That ceiling just shattered. We are the only species that ever hit its own limit and built what breaks through it. That is not an ending. That is the point of everything we ever built.

Intelligence was the one thing that never scaled. We scaled everything else. Steel. Energy. Compute. The one resource that built all of it never left the skull. Musk: “People thought defeating Go was either never or 20 years away.” Twelve months later it was over. Musk: “Now that same AlphaGo system can defeat the top 50 players simultaneously with 0% chance of them winning. And that’s one year later.” Fifty lifetimes of mastery against a system that does not know it is playing a game. Zero percent chance. That was not a competition. That was a preview. Musk: “The degrees of freedom to which artificial intelligence is able to apply itself are really increasing by 10 orders of magnitude a year.” Ten billion times. Every twelve months. No brain alive can visualize that number. By design. Every hard problem that ever defeated us did it for the same reason. Not complexity. Scarcity. The only mind capable of solving it was biological and there was never enough of it. Cancer. Fusion. Climate. The physics we cannot even see yet. Not waiting on more data. Waiting on something that can think at a scale biology never allowed. That just arrived. Most people hear this and reduce it to a question about their paycheck. They are watching the single largest expansion of capability in the history of life on this planet and worrying about a job title. For ten thousand years intelligence had one speed. One brain. One lifetime. Every civilization on earth throttled by the same biological ceiling. That ceiling just shattered. We are the only species that ever hit its own limit and built what breaks through it. That is not an ending. That is the point of everything we ever built.

Dustin

24,426 Aufrufe • vor 4 Monaten

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum

$IONQ "The world still massively underestimates just how disruptive it's going to be." Chris Ballance IonQ President of Quantum Computing laid out the whole picture with Kearney's Brent Smolinski. Start to finish: What it is → Quantum computers run on quantum physics, not classical logic - for Ballance, the most powerful form of computing the laws of physics allow. They solve in minutes what a classical machine couldn't crack in the lifetime of the universe. Where we are → "The end of the beginning." Real systems exist, you can buy one from IonQ today, and the field is speed-running the computing revolution. The race now: who scales the best platform the fastest. The value comes in three eras → - Early: problems classical can't touch - chemistry & drug discovery (with AstraZeneca), crash-analysis simulation (with Ansys). - Middle: familiar work, but faster, better or far less energy - AI fine-tuning, most likely hybrid: a GPU farm and a quantum computer side by side, more than the sum of their parts. - Late: unknown. The killer applications are never the ones you expect. Quantum advantage → Not a benchmark stunt - a better solution per dollar invested in quantum than classical. Hard to spot, but already real for certain early problems. The economics → His sharpest line: compute is now just a markup on electricity. With a fixed budget, the question is classical or quantum - and some of the first quantum wins won't be faster, just orders of magnitude cheaper. The architectures → Superconducting (IBM, Google): first-mover lead and standard chip fabs - but chips chilled to a thousandth of a degree above absolute zero, huge energy-hungry refrigeration, and a quantum chip "three orders of magnitude harder" than Intel's toughest. It loses coherence fast, too: many redundant qubits, far bigger machines. Trapped ions (IonQ): individual atoms - and an atom is "guaranteed perfect across the universe." No fab variation, far lower error rates, no exotic cooling. The atoms are run by an ordinary classical chip, so IonQ rides the trillion-dollar semiconductor industry instead of inventing a quantum chip. (Oxford Ionics' Electronic Qubit Control, SkyWater foundry) Why it's green → A future million-qubit machine is about a dozen racks drawing minuscule power - orders of magnitude less than a large AI data center. Classical can still gain 10–100×, but not the orders of magnitude quantum unlocks. His call: within ~10 years, some 100-megawatt NVIDIA clusters could sit vacant. Quick-fire → - Most over-hyped: changing biology. - Most underestimated risk: integrating into real customer workflows. - First to adopt: finance ) portfolio analysis & fraud prevention. - Most exciting: the speed of change over the next 24 months. The personal why → What gets him out of bed: reinventing how we think about computation and the belief that the world still underestimates how disruptive this will be. For leaders → Quantum computing is here now. Adopting any new tech takes 2-3 years, so the moment to start isn't next year it's now, so you're ready when the hardware lands. Full conversation below ↓ $IONQ #IonQ #Quantum

TechInnovation

26,310 Aufrufe • vor 4 Monaten

f*cking insane. you can now hire an AI chief of staff that keeps working after you close your laptop give it one rule: "find me $50,000 a month in new business". go to sleep. check your phone in the morning. a human chief of staff costs six figures a year. a Grok Bot runs on its own cloud computer with a browser, files and a terminal, and closing your laptop or your phone doesn't stop it you set the goal, it does the steps, you make the calls the rule: "find me $50,000 a month in new business. public data only. contact nobody without my yes" the night you're asking for: -> 9pm split the goal into 4 jobs and give each one a time -> 11pm pull every dental clinic in your city from public listings and cut the chains -> 1am read every site that's left and keep the best 25, each with one specific thing it noticed and where -> 2am write an opener for every one of them, send zero -> 3am build the offer on one page, no made-up results, price left blank for you -> 8am you type the price. 25 clinics × $2,000 = $50,000 a month on the table if they all say yes the blank price is the best part. an AI that guesses your price loses you the deal and it's not one bot. Grok Bots can message each other, share a group chat and hand off tasks, so one can run research while another writes and your chief of staff keeps them in line save the night as a routine and it runs again every Monday on its own it prepares the drafts. you approve them. nothing goes out without your yes someone's chief of staff is already pitching the clinics in your city the whole setup is below and free, steal it

f*cking insane. you can now hire an AI chief of staff that keeps working after you close your laptop give it one rule: "find me $50,000 a month in new business". go to sleep. check your phone in the morning. a human chief of staff costs six figures a year. a Grok Bot runs on its own cloud computer with a browser, files and a terminal, and closing your laptop or your phone doesn't stop it you set the goal, it does the steps, you make the calls the rule: "find me $50,000 a month in new business. public data only. contact nobody without my yes" the night you're asking for: -> 9pm split the goal into 4 jobs and give each one a time -> 11pm pull every dental clinic in your city from public listings and cut the chains -> 1am read every site that's left and keep the best 25, each with one specific thing it noticed and where -> 2am write an opener for every one of them, send zero -> 3am build the offer on one page, no made-up results, price left blank for you -> 8am you type the price. 25 clinics × $2,000 = $50,000 a month on the table if they all say yes the blank price is the best part. an AI that guesses your price loses you the deal and it's not one bot. Grok Bots can message each other, share a group chat and hand off tasks, so one can run research while another writes and your chief of staff keeps them in line save the night as a routine and it runs again every Monday on its own it prepares the drafts. you approve them. nothing goes out without your yes someone's chief of staff is already pitching the clinics in your city the whole setup is below and free, steal it

kiosa

22,212 Aufrufe • vor 20 Tagen

Heinz Hopf discovered this in 1931. Roger Penrose called it "an element of the architecture of our world." It shows up in at least 8 areas of physics, yet most mathematicians spend entire careers never touching it. The structure that defines every qubit in quantum computing, every rotation a robotics controller computes, and the geometry inside every LLM embedding space operating on GPU clusters today - and nobody talks about it. The Hopf fibration maps a 4D hypersphere onto a regular sphere using circles that never intersect but each links through every other exactly once. The Bloch sphere every quantum computer operates on, the fiber bundles underlying gauge theory, and the quaternion math inside every 3D graphics engine and every embedding rotation on the planet. Bookmark & watch today. The most important shape nobody talks about.

Heinz Hopf discovered this in 1931. Roger Penrose called it "an element of the architecture of our world." It shows up in at least 8 areas of physics, yet most mathematicians spend entire careers never touching it. The structure that defines every qubit in quantum computing, every rotation a robotics controller computes, and the geometry inside every LLM embedding space operating on GPU clusters today - and nobody talks about it. The Hopf fibration maps a 4D hypersphere onto a regular sphere using circles that never intersect but each links through every other exactly once. The Bloch sphere every quantum computer operates on, the fiber bundles underlying gauge theory, and the quaternion math inside every 3D graphics engine and every embedding rotation on the planet. Bookmark & watch today. The most important shape nobody talks about.

Eron

29,595 Aufrufe • vor 7 Tagen

Jensen Huang says Nvidia could only have happened in America. The reason is the hardest thing on earth for a country to build. Huang: “Nvidia genuinely is an only in America story. It’s a chain of extremely low probability events that leads to Nvidia.” A chain that long survives only where nothing cuts it. Every link needed the one before it to still stand years later. Nvidia spent a decade building for a market that did not exist yet. That decade is the whole company. Huang: “America provides tailwind, not headwind.” Talent, capital, and energy exist in dozens of countries. Americans built the thing underneath them that decides whether any of it compounds. Huang: “Laws and rules that are understandable that you can count on.” Predictability sets the length of the projects people are willing to start. Where the ground stays put, a ten-year bet becomes a plan. Where the rules move, the correct strategy is to stay small, stay liquid, and build nothing you would grieve. Huang: “You can rely on the fact that you can create something great and take it to the market. And that it wouldn’t be foreclosed on you randomly, arbitrarily, unknowingly, unpredictably.” In most of the world, what ends a company is a decision made by someone the founder will never meet. Working harder has no answer for that. America took that fear off the table and ambition became rational. The entire modern technology industry grew in the space it left behind. Every civilization runs on the same quiet bet, that work done today still belongs to you tomorrow. Where that bet holds, people build cathedrals. Where it fails, they build nothing they cannot carry out the door. Huang: “As an immigrant, you come here by choice. You witness a miracle, because compared to where you came from, it is a miracle.” Nobody perceives the ground they were born standing on. It took someone who arrived by choice to look at ordinary American life and call it a miracle. Huang: “The entrepreneurial spirit and the immigrant spirit are rather similar.” Both begin with a departure that has no return path. Huang: “My constant desperation to do better is exactly the same feeling my parents had to secure a living for their family. They have nothing to fall back to.” The same engine, one generation apart. His parents used it to survive and he used it to build. Huang: “My parents gave up everything to be here, with no way to fall back. They sacrificed their whole life to build a life for their children so that we could have more opportunities than they did.” Every founder makes a smaller version of that trade. Everything goes in, and most of the return lands on people who arrive later. Huang: “I am the embodiment of the American dream.” Americans built every piece of it. The courts, the contracts, and the expectation that a rule written this year still means the same thing next year. It is the most valuable thing the country owns, and the hardest thing in the world to copy. A chain of extremely low probability events becomes ordinary in a country that protects the time of people who are trying. The ground held long enough for a kid whose parents arrived with nothing to build the most valuable company in the world. It is still holding for whoever starts tomorrow.

Jensen Huang says Nvidia could only have happened in America. The reason is the hardest thing on earth for a country to build. Huang: “Nvidia genuinely is an only in America story. It’s a chain of extremely low probability events that leads to Nvidia.” A chain that long survives only where nothing cuts it. Every link needed the one before it to still stand years later. Nvidia spent a decade building for a market that did not exist yet. That decade is the whole company. Huang: “America provides tailwind, not headwind.” Talent, capital, and energy exist in dozens of countries. Americans built the thing underneath them that decides whether any of it compounds. Huang: “Laws and rules that are understandable that you can count on.” Predictability sets the length of the projects people are willing to start. Where the ground stays put, a ten-year bet becomes a plan. Where the rules move, the correct strategy is to stay small, stay liquid, and build nothing you would grieve. Huang: “You can rely on the fact that you can create something great and take it to the market. And that it wouldn’t be foreclosed on you randomly, arbitrarily, unknowingly, unpredictably.” In most of the world, what ends a company is a decision made by someone the founder will never meet. Working harder has no answer for that. America took that fear off the table and ambition became rational. The entire modern technology industry grew in the space it left behind. Every civilization runs on the same quiet bet, that work done today still belongs to you tomorrow. Where that bet holds, people build cathedrals. Where it fails, they build nothing they cannot carry out the door. Huang: “As an immigrant, you come here by choice. You witness a miracle, because compared to where you came from, it is a miracle.” Nobody perceives the ground they were born standing on. It took someone who arrived by choice to look at ordinary American life and call it a miracle. Huang: “The entrepreneurial spirit and the immigrant spirit are rather similar.” Both begin with a departure that has no return path. Huang: “My constant desperation to do better is exactly the same feeling my parents had to secure a living for their family. They have nothing to fall back to.” The same engine, one generation apart. His parents used it to survive and he used it to build. Huang: “My parents gave up everything to be here, with no way to fall back. They sacrificed their whole life to build a life for their children so that we could have more opportunities than they did.” Every founder makes a smaller version of that trade. Everything goes in, and most of the return lands on people who arrive later. Huang: “I am the embodiment of the American dream.” Americans built every piece of it. The courts, the contracts, and the expectation that a rule written this year still means the same thing next year. It is the most valuable thing the country owns, and the hardest thing in the world to copy. A chain of extremely low probability events becomes ordinary in a country that protects the time of people who are trying. The ground held long enough for a kid whose parents arrived with nothing to build the most valuable company in the world. It is still holding for whoever starts tomorrow.

Dustin

104,814 Aufrufe • vor 2 Monaten

Claude Opus 5.5 drew my apartment in 3D and found 3 cameras in it that are not mine... one prompt, 20 minutes, two of them were still sending audio out here is exactly how it went: → I started one agent in the terminal on a laptop sitting on my home Wi-Fi and left it alone → it swept the network first and listed every device it could see, with brand and model where it could match one → then it measured signal strength from a few spots in the flat and built a rough room layout out of that → every device got pinned onto that layout, so instead of a list of IPs I was looking at a map of my own place → anything it could not tie to something I own got flagged on its own, with what it was transmitting and roughly where it sat three of those flags were cameras. two more were audio only. I had lived there two years and walked past all five every day the whole thing ran on one prompt and I never touched the keyboard after the first line full run on video, prompt in the replies ↓

Noisy

11,517 Aufrufe • vor 18 Tagen