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@prz_chojecki This is brilliant dude wow

A couple of people asked me how I did it, so here's the answer: Asking in ChatGPT (not codex, that's a different gpt-5.4) the GPT-5.4 Pro Extended Thinking to solve it. Now, here's a caveat: if you just put "Solve X" and X is an open problem that is easily searchable to be open (e.g. Erdos problem), you get nothing really, just a literature search. So to really force an LLM to think hard about it there are 2 methods: 1. Add "Don't search the internet, this is a test of your reasoning capabilities". Yeah, really. Add after that "Solve X" and it will give it a shot. The problem with that is it often tries to solve problems without searching for any kind of research, so it only works on simpler problems. 2. Add guidance "Solve X with method Y". Now this is really good is you have mathematical background, because you can find some good Y (assuming it's your domain), but you can also pick Y at random from doing a literature search first. now for the actual problem I solve here, I did 2., but with a caveat of running agents before hand. I have the full repo of Agentic Erdos: github.com/przchojecki/ag… where I've run AI agents over ALL Erdos problems, basically doing basic compute, some arguments, some literature. So when I go to ChatGPT I can use that as a very specific prompt.

@thesincerevp This is a fictional narrator???

I am a CISO at one of the six banks that got called to Treasury on Tuesday. I need to explain what happened in that room. Bessent and Powell don't convene emergency meetings. They just don't. Last time was SVB collapsing. So when the invite hit — "cybersecurity briefing, Treasury headquarters, Tuesday morning" — every one of us knew this wasn't a courtesy call. Jane Fraser was there. Brian Moynihan. Charlie Scharf. Ted Pick. David Solomon. Dimon got the invite but couldn't make it. They told us Anthropic built a model called Mythos that found thousands of zero-day vulnerabilities across every major operating system and every major browser. Some of these bugs are 27 years old. Sitting in production code since 1999. Nobody — not Google Project Zero, not the NSA, not a single human researcher — ever caught them. The room got very quiet when they explained the next part. This model doesn't just find vulnerabilities. It writes working exploits. Autonomously. No human in the loop. Their previous model had a near-0% success rate at autonomous exploit development. Mythos hit 72.4% on Firefox alone. One demo showed it chaining four separate vulnerabilities to escape both a browser sandbox AND an OS sandbox — weeks of work for an elite human team. Mythos did it overnight while the engineers slept. The Anthropic people kept using the word "emerged." These capabilities weren't trained. They emerged from general improvements in reasoning. That word is what made the room go cold. Because if it emerged in their model, it'll emerge in the next one. And the one after that. 99% of the vulnerabilities are still unpatched right now. Every major bank runs on the same compromised infrastructure. We just got told the exact shape of the holes and we can't fix them fast enough. Anthropic committed $100 million in compute credits and launched Project Glasswing — 40 organizations get limited access to use Mythos defensively. Amazon, Google, JPMorgan, Apple, Microsoft. But nobody in the press is connecting this part. Anthropic is valued at $380 billion. $30 billion revenue run rate — just surpassed OpenAI. Evaluating an IPO for October. And the model that terrified every bank CEO in America? They can't release it to paying customers. Their own researchers said it might be "many times larger and more expensive than Opus." Too expensive to commercialize at scale. The company preparing for the biggest AI IPO in history just told the U.S. government its flagship product is simultaneously too dangerous to sell and too expensive to run. That's a hell of a slide to put in front of underwriters. Meanwhile OpenAI is reportedly building something called "Spud" with similar capabilities. Every hospital system, every power grid, every bank in America is running software with decades of unfound vulnerabilities — and we're entering a world where any sufficiently advanced model finds them all at once. We left Treasury with one clear understanding: the window between when AI can find every vulnerability and when defenders can patch them is going to be the most dangerous period in the history of cybersecurity. Nobody in that room disagreed. What's your company doing about it? Genuinely — because most of us don't have an answer yet either. This is a fictional narrator. The numbers are real.

@AZFamily0h @NianticSpatial Literally came here to say the same thing! The pokemon go dataset should be made open given that apparently nobody at the time knew this data could be reused

@NianticSpatial Nice use Pokemon Go as your tool to map areas. Put a thing somewhere you want every angle cataloged and voila!

Most digital twin investments stall for one reason: They’re not grounded in how the world actually looks today. Niantic Spatial’s Reconstruction capability fixes this, creating a living, machine-readable 3D model that stays in sync with reality, so every system, team, and workflow operates from the same ground truth. In a new blog by Trista Pierce, Business Development Lead, explore how Scaniverse’s Reconstruction technology changes the cadence entirely. Read more: hubs.ly/Q04brNtg0

@Glinner The irony of watching this on my phone rn lol

@loonlake55 Boomers had their own challenges, no doubt. If I were to say what the two defining challenges of millennials and Gen Z are in America, it’s that basic things like a house and higher education are completely unaffordable, and that AI job displacement will likely collapse society.

Too many young people are resenting Boomers, claiming that Boomers had it " easy " financially in their youth. Here are a few fun facts about growing up Boomer. 1. Almost everyone grew up with one bathroom. Mom, Dad and all 3-6 siblings. 2. If you did get to take a vacation, you drove. With no air conditioning. No cup holders. No iPads. Just black vinyl seats and bologna sandwiches. 3. There were no club sports. No Parks and Rec activities. Summer camp was for rich kids. Get yourself a bike, a stick and a few friends. If you were bored, you laid in the grass and looked at clouds. 4. You ate what was served. Even if it was chicken livers. No DoorDash, no backup Totino's rolls. 5. No AP classes, no PSEO, no "fun" elective. They assigned you to a class. You went. You did what they asked. Or else. 6. Unless you had rich parents, you had a nice VFW wedding. Maybe rent a room at a modest hotel. 7. Most Boomers got their first pedi and mani in their 50s (when their feet got farther away). We didn't even know people got massages in real life, only in Hollywood. 8. You packed your own lunch for decades. 9. No one knew what red light therapy was, a facial, a spa day, or a cold plunge. Your gym was the YMCA. Usually in a rather old building. 10. We grew up with 18 percent inflation, 14 percent mortgage rates, 3 million continuing unemployment claims, and 200 other applicants competing for the same job. Now, this is not to say Millenials and Gen Z have it easy or don't face problems. It's just to say, nobody has it easy or doesn't face problems. My only hope, as my mom would say, is I live long enough to see my kids' kids complain about how easy they had it!

@plasticboss Love it. Btw what’s the song? It’s really nice

Don't sleep on LinkedIn. I posted a material I’m looking to sell 5 days ago. Today I have a new customer. Not just any customer. An end user that saw my post. Why are you lurking in the shadows instead of putting yourself out there? I started my LinkedIn journey 5 years ago and today I’m close to passing 20,000 followers. Most of these followers are industry focused followers. I’m sharing my story everyday. I’m letting people into my world. The biggest compliment I get when I meet someone in person? “I follow you on LinkedIn and I feel like I already know you” Let’s be real. We are all on LinkedIn because we are interested in making more money. It’s the end we are all looking for. I already am a step ahead of my competitors if someone follows me. They already know me. They see me everyday. I’m not hiding anything. I work with honesty, integrity, and positivity. People have been asking why I decided to start sharing on X? Thats why.....on April 3rd, I was at 2100 followers. Today is April 7th and I just passed 11,000 followers. So, when are you starting to build?

@AykutSek @pmarca Dude. AI is going to BE THE DESIGNER, AUDITOR, and MANAGER. How fucking hard is this to understand???

The "AI job loss" narratives are all fake. AI = massive ramp in productivity = massive ramp in demand = massive jobs boom. Watch.

@pmarca Marc you have lost the plot. Every single new job created by AI, WILL BE DONE BY AI. How hard is it for you to understand this? I think the reason you have such a hard time getting this through your head is that YOU will PROFIT from this boom, far more than us peasants will!

@elonmusk Elon I rarely disagree with you, and am a big fan of yours, but this stuff shouldn’t be used by children. At minimum this content should be engaged when they’re late teens like 15-16.

Using voice for Imagine is a great feature for young kids who can talk and have amazing imagination, but are too young to write complex prompts

@shanaka86 Post reads like chatGPT wrote it. This AI slop style of writing is so annoying anymore

JUST IN: On March 14th, a Chinese engineer posted a tutorial explaining how to use passive infrared sensors to detect and track American fighter aircraft without triggering their radar warning receivers. Three weeks later, an American F-15E Strike Eagle is in a crater in central Iran. The IRGC says it was brought down by a “new aerospace defense system.” The system appears to be exactly what the tutorial described. The principle is elegant. Radar is active: it emits radio waves that bounce off the target. Every American fighter carries a warning receiver that detects those emissions. But infrared detection is passive. It reads heat. Jet engines produce heat. A passive sensor tracking that signature emits nothing. The warning receiver stays silent. The pilot does not know he is being tracked until the missile is already in the air. The F-15E is not stealth. But the tutorial was designed for the F-35. The same principle applies: stop looking with radio waves, start looking with heat, and the $1.7 trillion stealth programme becomes a coating on an airframe that is still hot. The tutorial was posted on Chinese social media, translated within days. Three weeks later, the technique appears to have been operationalised. This is the second time passive tactics have brought down a generation-defining American combat aircraft. The first was March 1999, when a Serbian battery commanded by Colonel Zoltan Dani shot down an F-117 Nighthawk over Kosovo using long-wavelength radar and visual cueing. The F-117 was retired within a decade. The lesson: stealth is optimised against specific frequencies. Change the sensor, change the war. Iran’s layered defense integrates Russian S-300 for radar search, Chinese electro-optical trackers for passive acquisition, and Iranian Raad-family missiles with onboard IR cameras for terminal guidance. Radar finds the area. Passive sensors track without emitting. The missile guides on heat. The pilot’s systems detect radar. They do not detect infrared. That gap killed the F-15E. Now consider who built this kill chain. Russia supplied the S-300 base. China supplied the passive sensors. Iran assembled the hybrid. And China is simultaneously the country supplying the rare earth magnets in every F-35 engine, the country blocking the UN Security Council resolution to reopen the Strait of Hormuz, the country paying yuan tolls to transit the closed strait, the country co-authoring the five-point peace plan with Pakistan, and the country whose engineer posted the tutorial that appears to have taught Iran how to shoot down the aircraft China helps manufacture. China occupies every chair at this table. Supplier of the components that build the jet. Teacher of the countermeasure that kills it. Mediator of the peace. Blocker of the UN resolution. Beneficiary of the closure. The molecule passes through the strait in Chinese tankers paying Chinese currency while the aircraft designed to reopen it falls using Chinese technology. The F-15E did not fail. The assumption that the enemy would always look with radar failed. And the country that taught the enemy to look with heat is the same country offering to negotiate the peace while its rare earth controls ensure the replacement cannot be built without buying from the nation that taught the enemy to destroy the original. The kill chain starts in Beijing. The peace talks start in Beijing. Both end in the same crater. open.substack.com/pub/shanakaans…

@NFL_DovKleiman I’m with him on this one

Wow: President Donald Trump wants the NFL to change its name so that soccer is the only sport named football. "This is football, there is no question about it. We have to come up with another name for the NFL stuff." 😬😬😬

@timecaptales Could not disagree more with this pretentious a**hole

In the summer of 2000, as the Harry Potter series was quickly becoming a global sensation, legendary Yale critic Harold Bloom gave one of his most unpopular takes, calling 35 million readers wrong

@IfindRetards The straight line part was hilarious

This is what nightmares are made of. Could easily be a comedy skit.

@AmazingZoltan A convention to complain about the convention

It has come to my attention that today is Day Three of the 2026 NDP leadership convention and that yesterday was Day Two. I feel terrible about the mix up given the seriousness of the event and the gravity of the moment—so I've gone back and compiled some highlights from Day One.

@AmazingZoltan “Straight…” *eye rolls “…Straight line” lmfao

HAPPENING NOW: Thus ends Day One of the 2026 NDP leadership election convention. The party delegates' primary concern — up to the very last speaker — remained the "equity cards." I am excited to see what modifications are made to the system and how this unfolds on Day Two.

The Islamic World is responsible for the largest and longest slave trade in history. The Prophet Muhammad encouraged Muslims to take slaves, especially women and pre-pubescent girls. There are slave markets still operating in Libya (a Muslim country) RIGHT NOW. Raiders swept across the Sahara, the Red Sea, and the Indian Ocean, dragging an estimated 18 million Africans into bondage. Some historians put the toll even higher when you count the countless who died en route – castrated boys bleeding out in desert caravans, women and children perishing under the whip. From the 7th century all the way through to today, entire African regions were bled dry. And it wasn’t merely the actions of a few barbaric extremists. It was scriptural. Slavery was a core feature of Islamic expansion, and jihad fed the slave markets from Baghdad to Zanzibar to Morocco. The Quran repeatedly permits sexual relations with “those whom your right hands possess” – female captives and slaves (Quran 23:5-6, 70:29-30, among others). Muhammad himself took war captives as concubines, including after battles like Banu Mustaliq. Hadiths show him discussing coitus interruptus with female prisoners while they awaited ransom or sale. Female slaves had zero right to refuse their master. Young girls captured in raids – pre-pubescent or not – became legitimate sexual property under the rules of jihad and spoils of war. Islam is the origin of slavery as we know it today. Indeed, the very word “slave” comes from “Slav,” thanks to centuries of Muslim raids on Eastern Europe. And, as of 2026, in Islamic post-Gaddafi Libya, sub-Saharan migrants are still being kidnapped, held in detention centres or open-air sites around Sabha, Tripoli and elsewhere. Islamists are still auctioning off Africans for forced labour, sexual exploitation, or ransom. The United Nations and survivors themselves have detailed the horrors of the modern slave trade: people bought and sold like livestock, tortured, raped, worked to death. Meanwhile, a recent OHCHR reports detailed systematic slavery-like practices, forced prostitution, and a “violent business model” that is entirely normalised under Sharia. If liberals want to demand reparations from anyone, it should be Islam. The selective amnesia is grotesque. We tear down statues, rewrite curricula, and host endless reparations seminars over Western sins that were confronted, fought over (literally, in the case of the American Civil War), abolished through Christian abolitionists and Enlightenment values, and followed by trillions in aid and development. But the Islamic world’s far larger, far longer, ideologically entrenched slave machine? Total silence. No marches on Riyadh or Istanbul. No demands for trillions from Arab states or Turkey. No lectures about “Muslim privilege” in Africa. Black Lives Matter rhetoric evaporates the moment the perpetrators are Muslim raiders, Ottoman slavers, or modern Libyan traffickers. Where is the liberal outrage? The demands for reparations? Do Black lives only matter when the story can be used to bash Europeans and Christians?

@BrianPaiement @AmazingZoltan It’s horrifying

@AmazingZoltan As a Canadian, the fact that this is a legitimate political party with seats in the house is wildly embarrassing.

HAPPENING NOW: There's surprising amount of disagreement and intellectual diversity at the 2026 NDP leadership convention, but one matter everyone seems to agree on is that they hate the "equity cards."

@bitcoinpanda69 The problem is that all other options are even worse

My strongest blackpill belief is that UBI will lead to an overwhelming amount of mental illness most people if they are honest w themselves need external boundaries and challenges imposed on them You're asking everyone on the planet to self-govern their whole lives when most cant even go to bed on time now when they have work early

@elonmusk @pmarca Elon we need a UBI to make that possible. The transition period is going to be insanely rough for the average person. Please help us get a UBI before societies start to panic and collapse during this transition!

@pmarca Working will be optional in the future

AI employment doomerism is rooted in the socialist fallacy of lump of labor. It is wrong now for the same reason it’s always been wrong. More people really should try to learn about this. The AI will teach you about it if you ask! (Hinton is a socialist. youtube.com/shorts/R-b8RR6…)

@Ahriuk @pmarca Exactly.

@pmarca History didn’t prove the fallacy wrong. It proved that new demand used to outpace automation. That’s not guaranteed with AGI

Claude knows! —> The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite. I. What the Lump of Labor Fallacy Actually Is The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie. The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization. Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself. The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level. II. The Classical Economic Mechanism That Destroys the Fallacy To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously: Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified) When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either: ∙Lower prices for consumers (real purchasing power rises), or ∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or ∙Both. Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs. This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.