Elon Musk just said work is about to become optional. Not reduced. Not restructured. Optional. Musk: “AI and robotics will be able to provide all the goods and services that anyone could possibly want.” Every good. Every service. Every task you’ve ever been paid to perform. Done by something that never sleeps and never stops improving. The follow-up question was simple. What do people do when there’s nothing left to do. Musk: “People will be able to do whatever they want with their free time.” Humanity has chased that sentence for ten thousand years. It might be the most dangerous thing we ever catch. Strip away the job title. Strip away the paycheck. Strip away the alarm clock and the structure and the thing you tell strangers at a dinner party when they ask what you do. What’s left. That question is going to dismantle more people than any layoff notice ever could. We didn’t just build careers. We built selves. Entire identities organized around being useful. Being needed. Being the one who does the thing. The machine doesn’t replace your labor. It replaces the story you tell yourself about why you matter. Then Musk said something that landed harder than anything else in the conversation. Musk: “What I predict to happen is not the same as what I want to happen.” The man building this future just told you it’s not the one he’d choose. That’s not pessimism. That’s the rarest thing in tech right now. Honesty from someone with the vantage point to see what’s coming. He’s not pitching a utopia. He’s reading the math out loud. And the math doesn’t care what anyone prefers. We spent all of human history trying to free ourselves from labor. We’re about to discover that the struggle was the meaning. Not the obstacle to a good life. The architecture of one. The question Musk is really asking isn’t economic. It’s whether humanity can survive getting exactly what it always wanted.

Everyone sees the fame, but no one sees the story behind it. Name : Hazel Moore Date of birth : June 9, 2000 Birthplace : United States 🇺🇸 Nationality : American 🇺🇸 Profession : Actress, influencer Net worth : $500k - $1M+ - before becoming Hazel Moore She was just another face in the crowd, living a normal life, unknown to the world. - then suddenly everything changed - In a world where attention moves fast, she figured out how to stay ahead. - within a short time, her name was everywhere - searches, trends, discussions. – but here's the question people don't ask : - Was it just luck, or a calculated move. - behind every viral name, there's mix of ambition, risk, and a decision that changes everything forever. - Fame brings money, fame brings attention, but it also brings judgement. - and once internet knows your name, there's no going back. - so the real story isn't how she became famous. - it's whether the fame was worth the price. What do you think??

Among the countless folk legends that have been passed down through China for thousands of years, "The Legend of the White Snake" is undoubtedly one of the most enchanting and magical love epics of all. The story begins with a white serpent spirit Bai Suzhen, the character I’m cosplaying today, who has cultivated for a thousand years. To repay a life-saving kindness from long ago, she transforms into a woman and descends into the human world in search of the scholar’s reincarnation called Xu Xian. Bai Suzhen and Xu Xian meet by chance on the Broken Bridge at West Lake, where a bond from a past life is rekindled. This is more than just an Eastern fantasy tale, it’s an everlasting exploration of humanity, choice, and profound sacrifice. I invite you to step into this poetic world and feel a love that stays warm and alive, even after a thousand years.

The "i" in Utopai? It's not random. U-T-O-P-A-I That "i" stands for YOU. The individual. The innovator. The one who makes the story real. Because the future isn't built by everyone. It's built by every "i" ✨

Today a crazy quantum story just got wilder. On March 31, the Google Quantum AI team published a landmark result on Shor's algorithm for elliptic curve cryptography. Technically, the paper was a bombshell: a dramatic 10x improvement over the state-of-the-art. As a stunt and wakeup call to the blockchain space, those optimisations were illustrated on secp256k1, the elliptic curve underlying Bitcoin and Ethereum signatures. But perhaps the most striking part of the paper was sociological, not technical. Instead of following standard academic process, the optimisations were kept secret, hidden behind a zero-knowledge (ZK) proof. Google's accompanying blog post mentions they "engaged with the U.S. government". The ZK proof demonstrates the existence of algorithmic improvements without leaking details. Academic censorship with ZK, a historic first! As a co-author of the Google paper I witnessed some of the context surrounding this censorship. To be honest, multiple aspects of that context don't sit well with me. As much as I believe the general public ought to know more, I am limited in my ability to whistleblow. Though let me be clear about one thing: the Google team's professionalism has been absolutely exemplary, and they deserve nothing but praise. Censorship has a way of backfiring. The Streisand effect, where an attempt to bury something only draws more attention to it, is exactly what's unfolding today. First, Google's key optimisation has been rediscovered by the French. And in a thrilling turn of events, a collaborative Shor-at-home challenge just launched. The initiative, available at ecdsa[.]fail, breached a new Shor world record in a matter of hours. Let's start with the rediscovery. Just two months after Google's paper, French quantum expert André Schrottenloher cracks the main secret optimisation. His paper, titled "Optimized Point Addition Circuits for Elliptic Curve Discrete Logarithms", landed on the arXiv today. Big congrats to André, who beat several other nerdsnipped experts to it. In a blog post also published today, Craig Gidney, the world expert on Shor optimisations, revealed that he'd been sitting on this very optimisation for a whole year under censorship pressure. Interestingly, André missed a handful of minor optimisations, both from Google's original publication and from improvements found since. It's plausible there's still plenty of juice left to squeeze out of Shor, and this is exactly what the ecdsa[.]fail challenge is about. The verifier program developed for the ZK proof does double duty, automatically filtering for valid submissions. Dozens of compounding small and micro improvements are rolling in. As of the time of writing there's an 8.4% improvement to Google's circuit, as measured by the product of logical qubit count and Toffoli gate count. Nice! The nerdsnipping ran deeper than anyone expected. Over the last few weeks it became clear it extended well beyond André and other quantum experts. Behind the scenes, a small army of amateurs quietly got to work. Inspired by Karpathy-style autoresearch, they turned AI on Shor. Ironically, the verifier program for the ZK proof makes an ideal reward function for AIs. The barrier to entry for this modern style of research is refreshingly low, with several non-experts, even a teenager, finding nice optimisations. Get in touch if you'd like to join a Telegram group with fellow autoresearchers :) Part 2: neutral atoms and qday The story doesn't end with Google. On the same day Google went public, a stealthy startup called Oratomic published its own Shor paper in a coordinated release. It made a splash, ultimately becoming the most upvoted paper on scirate[.]com, a website ranking arXiv papers. Oratomic's claim was wild. By building on Google's logical optimisations and applying custom physical optimisations for neutral atoms, they claimed just 10K physical qubits were sufficient to run Shor's algorithm on secp256k1. That number is mind-bogglingly low. Knowing essentially nothing about neutral atoms when Oratomic's paper landed, I was intrigued and decided to learn more about the tech. I fell straight down the rabbit hole and spent a couple hundred hours on the topic. I got a little obsessed and watched every YouTube video I could find and spoke to a bunch of experts. My conclusion? The tech is real, very real. Even Google recently decided to start a neutral atom lab, a notable pivot from their sole focus on superconducting qubits. If you care about qday, i.e. the day a quantum computer will break the first piece of cryptography in production, neutral atoms demand your attention. I shared some of my learnings on Shor and neutral atoms in a 30min talk at the ZKProof cryptography conference. You can find it on YouTube by searching "zkproof neutral atom". Here's an interesting observation about this duo of breakthrough papers: neither Google nor Oratomic say a word about what their results mean for qday. No timelines. Zero. Nada. That is especially baffling given that the whole point of whitehat quantum cryptanalysis is to inform qday estimations and help the general public make good decisions. So let me attempt to partially fill the silence, similarly to what Scott Aaronson did in his April 29 post. Given everything I know, including scary non-public information, I now put the odds of qday by 2032 at 50%. 10% by 2030. Anecdotally, the US government has its own date: 2035. Originating at the NSA and later adopted by NIST, it's when branches of the US government will be disallowed from using quantum-vulnerable cryptography. In plain language: with hindsight, that date is a joke and should be discounted entirely. I don't see how NIST avoids being forced to pull it forward by years. Part 3: post-quantum cryptography There are good reasons to sound the alarm today, but please do not panic. Rushing carelessly towards immature post-quantum cryptography is a recipe for disaster. IMO a good target date for migration is 2029, roughly 3.5 years out. 2029 happens to be the date selected by Google, Cloudflare, and the Ethereum Foundation. These days most of my time goes to safely migrating Ethereum towards post-quantum cryptography as part of the broader lean Ethereum effort. There's a lot to do. We need to rip out and replace BLS signatures at the consensus layer, KZG commitments at the data layer, and ECDSA signatures at the execution layer. The plan to get there is compelling, and is based on hash-based cryptography. Within the Ethereum Foundation we've developed a Swiss army knife called leanVM (github[.]com/leanEthereum/leanVM) powered by the magic of hash-based SNARKs. Thanks to truly exceptional work by Emile, Thomas, and others, its performance is derisked. Regarding security, leanVM is a jewel, a minimal zkVM crafted for end-to-end formal verification and maximum security. Want to help? There are two $1M initiatives. First, the Proximity Prize (proximityprize[.]org). Solve a long-standing mathematical conjecture in coding theory, improve hash-based SNARKs, and go home a millionaire. Second, the Poseidon Initiative (poseidon-initiative[.]info), offers $1M for breaking Poseidon, the SNARK-friendly hash function.

007: First Light Reviews are up 10 — VGC Said it feels like the Bond game fans have been waiting for years. 10 — Gfinity Praised the story, action, and overall Bond feeling. 10 — The Guardian Loved the style, atmosphere, and writing. 10 — ComicBook Said it really feels like playing through a Bond movie. 9.5 — GamingTrend Praised the missions, gadgets, and replay value. 9 — Metro Liked the adventure feel and classic Bond vibe. 9 — DayOne Praised the stealth and pacing. 9 — Collider Called it one of the best action games this year. 9 — GameSpew Loved the mission variety and spy gameplay. 9 — Shacknews Said the mix of stealth and action works really well. 9 — ScreenRant Praised the soundtrack, visuals, and Bond atmosphere. 9 — PSX Brasil Liked the freedom during missions. 9 — GAMINGbible Called it stylish and fun from start to finish. 9 — DualShockers Praised the story, gadgets, and Bond performance. 8.5 — Checkpoint Gaming Liked the stealth gameplay but wanted more freedom. 8.5 — Press Start Praised the action and graphics but said combat gets repetitive sometimes. 8 — CGMagazine Liked the story and stealth gameplay overall. 8 — TechRadar Gaming Praised how cinematic the game feels. 8 — Eurogamer Loved the atmosphere but wanted deeper stealth systems. 8 — GameReactor Praised the locations and pacing. 8 — IGN France Said it captures the Bond feeling really well. 7 — GamesRadar+ Liked the story and presentation but thought gameplay could be deeper. MC: 88 OC: 90

A retired plumber in Nebraska beat the CIA at predicting foreign elections in 2013. A 22 year old college dropout beat every pollster in America in 2024. A 9 billion dollar prediction market called Polymarket is now telling you whether the AI bubble bursts this year, whether the US enters a recession, and whether Anthropic overtakes OpenAI before December. They are all using the same 4-step technique a Berkeley professor proved actually works in a 20 year experiment that should have ended the careers of half the experts on television. His name is Philip Tetlock. In the late 1980s he started collecting predictions from 284 experts. Political scientists. Economists. CIA-adjacent analysts. People paid their entire careers to forecast geopolitics. Over 20 years he gathered 28,000 predictions. Then he scored them. The result destroyed an entire profession. The average expert was barely better than chance. The famous ones, the ones with the most media appearances and the loudest voices, were the worst of the group. The more confident the voice, the worse the score. Buried in his data was something nobody else had emphasized. Fewer than 2% of forecasters were dramatically better than the rest. Year after year. Across domains they had no training in. In 2011 the US intelligence community gave him his chance to prove it at scale. Still bruised from missing Iraq, IARPA ran a 4 year tournament on 500 geopolitical questions. Will North Korea launch a missile. Will Russia invade. The intelligence analysts had classified intercepts. Tetlock's team had retired plumbers and ballroom dancers. Tetlock's team won by 35 to 72 percent against the other academic teams. His top forecasters scored 30 percent better than the CIA reading classified data. A retired pipe installer in Nebraska was outpredicting the intelligence community using only the newspaper. The technique sits in his book in plain language and almost nobody applies it. It starts with a method invented by Enrico Fermi during the Manhattan Project. Fermi handed students problems that looked impossible. How many piano tuners are there in Chicago. He did not want a guess. He wanted them to break the question into smaller questions they could actually estimate. Each sub-estimate was rough. Multiplied together, they landed remarkably close to the truth. Superforecasters Fermi-ize everything. They never try to predict a complex event directly. They shatter it into smaller questions where base rates are knowable, then reassemble the pieces. The second move is the outside view. Most people, asked whether a startup will survive or a war will end by a date, dive into the specific details. Story details feel useful. They are not. Superforecasters first ask how often events of this general type happen across history. The story comes last, not first. The third move is what most people refuse to do. Superforecasters update their predictions constantly, in tiny increments. Not dramatic reversals. Small honest nudges. They move like a Bayesian. Most people move like a teenager defending a position. The fourth move is the one that hits closest. Superforecasters express predictions as actual numbers. Not "likely" or "probably." 62 percent. 18 percent. Vague language is unfalsifiable. A number forces accountability, and accountability is the engine of accuracy. Polymarket is the same idea scaled to a hundred thousand strangers with real money on the line. In the final weeks of the 2024 US presidential election, every major pollster called the race a coin flip. FiveThirtyEight had Harris at 50 to 49. Nate Silver had her at 48.6 to 47.6. Polymarket had Trump at 58 to 42 the morning of the election. By midnight, while networks still refused to call swing states, Polymarket was at 97 percent. In late 2025 the New York Stock Exchange invested 2 billion dollars in the platform. Polymarket is now valued at 9 billion. The largest stock exchange in the world is integrating prediction prices directly into the data feed traders use to make decisions. The plumber did not have classified intercepts. The college dropout did not have a polling model. Polymarket does not have an algorithm nobody else can see. They all have the same thing. A method that forces you to write a number on paper, attach a date, and let the world watch you be wrong. In 2026 the gap between people who price the future and people who narrate it is going to be the most expensive gap in the world to be on the wrong side of.

Anita Sarkeesian shared photos from this year’s Game Developers Conference with members of the team that made Clair Obscur: Expedition 33. In her post she wrote: “Went to GDC like I do every year. Didn’t take many photos like every year, but here’s some proof of life.” “Met a bunch of Clair Obscur folks…” Clair Obscur: Expedition 33 is one of the most acclaimed games in the story of the games. Please don’t even get together with this person or she will ruin your franchise.

Sam Altman, CEO of OpenAI, poses a question to physicist David Deutsch about what it would actually take to believe an AI is thinking: The setup is a discussion of Einstein and general relativity which Altman calls one of the most beautiful things humanity has ever figured out, maybe even number one. But his point isn't about the physics. It's about the story. As Altman puts it: "Einstein had a story. We knew what he was working on." We knew the problems Einstein wrestled with, the questions he chose to chase, and the path he took to get there. That narrative is part of how we recognise genuine understanding. So @sama builds a hypothetical to test the line between imitation and real reasoning: "If in a few years GPT-8 figured out quantum gravity and could tell you its story of how it did it and the problems it was thinking about and why it decided to work on that, but it still just looked like a language model output but it really did solve it… would that be enough to convince you?" In other words: not just the right answer, but the reasoning, the choices, the why this problem. The same things we'd want from any human physicist. Deutsch's response is short: "I think it would. Yeah." And Altman accepts it as the bar: "I agree to that as the test." The real test for AI might not be whether it can pass as human, but whether it can produce something genuinely new: solving a problem that's eluded us for a century and account for how and why it got there. Output alone isn't enough. The story is what makes it convincing.

Some works really are those towering pieces of creation that automatically instil a feeling of respect for them, and after experiencing such works you are left feeling grateful for having been able to enjoy one of life's greatest mental and emotional nourishment. The Iliad, one of the oldest surviving texts, demands that respect, not because of its old age but for its timelessness. Yes, you are thrown into the middle of a 10 year long Greek-Trojan conflict, and it's natural to be intimidated before starting this journey because its reputation precedes it, but make use of technology and get the basic necessary context and choose the right translation (I wholeheartedly recommend Robert Fagles' one) and please just jump in and trust yourself and the beauty of the language to instantly grip you. Coming to the story itself, although I have read only a few books in my lifetime, this particular piece might be the grandest, the most brutal and yet one of the most complete works due to integrating a plethora of real human traits like aggression, fear, honour, pettiness, leadership, confusion, but most importantly trusting in Gods and their blessings but in yourself too and doing what's necessary even if Gods betray you. From detailed gory deaths to legendary men poking fun at each other, from slightly dragging heritage descriptions to relentless pacing of men and Gods taking the battle seriously, as a reader you just can't half-heartedly digest this grand feast, otherwise the loss is yours, the flavours were right there but you missed them. I have read every passage twice before heading to the next because the combined genius of Homer and Fagles would not allow you to just casually read, as every other line is enriched with beautiful imagery and delicious wording, and hence this is also my most underlined book till now. Achilles is more than everything that I heard about him, instantly one of my favourite literary figures. I was not prepared for Odysseus and how much he brings to the table. Giant Ajax and Diomedes are the backbone of the Greeks, and Patroclus cemented himself with his brief appearance. Hector is simply that man, he is everything that a man in his position must do if his fate is already sealed, and Aeneas got my special attention due to him reappearing in my future read, The Aeneid. The Gods, especially Zeus, provide a whole other layer of entertainment and their actions always intrigued me. I really can't properly conclude this piece that I started writing because I didn't even touch the most aura-inducing titles and epithets associated with men and Gods, some of the most memorable quotes, the breathtaking imagery of battlefields and Mount Olympus, the earnest description of physical attributes of characters and their armour and robes, or the way this poem fills you with all possible adrenaline and then at the next moment drains you completely, leaves you melancholic, and ultimately makes your day feel like an achievement having read it. Basically I haven't said anything meaningful because I'm really just incapable of adding anything to the legacy of this epic text. And now my Odyssey begins…