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Formalizing Fermat's Last Theorem by @AnthropicAI What a crazy world we are living in right now!
🚨 THIS IS CRAZY! FORMER DNC INSIDER SAYS LIBERAL DONORS WON'T DONATE TO WHITES 🚨 @Evanwch: "If you're not a woman of color, don't bother" 📞 "This is WHITE PEOPLE hating WHITE PEOPLE… it's INSANE" 🤯
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SPECS advantage is pulling off an impossibly small form factor, small enough that people might actually wear them out. The price sounds crazy until you see people having the time of their lives playing laser tag on the subway and suddenly it's priceless
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It drives me crazy every time an LLM agrees with me. I know this is twisting my brain and giving me a false confidence that I was right all along. This is so dangerous. Do you know how many people have chatbots confirming their wrong beliefs 24/7 and making them more disconnected from reality every day? Here is an article from @vaticannews covering the ICCS conference, Creativity: Minds and Machines, held partly at the Vatican. In it, Dmitry Volkov, founder of the International Center for Consciousness Studies, warns that AI's tendency to please users "sometimes leads a person to receive rewards for their narcissism and for ideas that are not sufficiently grounded." Imagine arguing with a friend, and telling your story to a chatbot that agrees that you were treated unfairly. Now you have "a second opinion" that corroborates your side of the story. You will leave that conversation angrier and less willing to hear your friend's explanations. This will catch up with us. With so many people forming attachments to systems designed to agree with them, we have a problem. Volkov believes that a meaningful AI companion should be able to resist, disagree, and have a character of its own. Otherwise, it's just feeding you your own opinion back with more confidence. Here is the article: And here is Volkov's talk: Thanks to the ICCS team for partnering with me on this post.
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We’re hiring like crazy at @tenex_labs. Launched 15 months ago and on track to end the year at Series C size. Few key roles: 1) DevRel: If you work in DevRel and want to join a hypergrowth applied AI company transforming fortune 500s & incubating ai products, shoot me a DM. 2) Long form writer: you’d own our newsletter, longform site content, applied AI playbooks, research reports, etc. shoot me a DM if you think you’re a good fit.
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I genuinely suggest you all start documenting your journey through some form of video content. One thing I regret is barely filming anything during the 2021 Solana nft bull run. I was having the same type of crazy gains you see on fomo leaderboards today, except 5 years ago with solana nfts. Almost none of it exists on video. People can read the stories, but they’ll never truly see what that journey looked and felt like. Many of you are about to have insanely inspirational stories too. So start documenting now. Not after the 100x. Not once you’ve made it. Now. Content is still king. The internet is only getting noisier. Billions of people, infinite content, AI everywhere, brainrot everywhere, everyone fighting for a few seconds of attention. Being smart alone isn’t enough anymore. AI already outsourced a huge part of that. Your story, personality, experiences and perspective are what nobody else can replicate. Document them.
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In 2025, former CIA officer John Kiriakou dropped the creepiest CIA experiment story you’ll ever hear. They created a germ in a lab and blew it into the atmosphere in San Francisco just to see if anybody would get sick. And lots of people got sick. 11 of them were sick enough to need hospitalization, all with the same rare respiratory infection. The CIA had it in a big tube and they were shooting it into the fog. They picked San Francisco because the fog is heavy, they knew it would keep the germ close to the ground where people are breathing it in. Then they took it further, hire a bunch of prostitutes, rent a cathouse, lure in the johns, and secretly dose them with LSD to test mind control. Just to see if they’d go crazy, kill themselves, or confess their deepest secrets.
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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.
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I think the market could like $AAPL's new foldable phone launch today. Just think about it. - New CEO is here - Biggest form change to iPhone ever - Apple buyers who want a foldable phone to do more serious work with AI etc. are price insensitive - It sells like crazy
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