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[VIDEO] [MV] SEJEONG(세정) - What My Heart Says (내 마음이 그렇대) Record of Youth 청춘기록 OST ▶ ▶ #구구단# #gugudan# #세정# #SEJEONG# #김세정# #청춘기록# #내마음이그렇대#

[NOTICE] #SEJEONG#'s tvN Drama '#Record_of_Youth#' OST Part.9 'That's How I Feel' has released in all music streaming sites🙌 SEJEONG's sweet and soft voice, which perfactly matches with autumn breeze🎶 Let's listen together, Dear Friends❤ #gugudan# #Thats_How_I_Feel#

On a previous #TeawithGaryVee# I was asked "My son grew up wanting to be a YouTuber for his gaming. I was always very supportive of this. He's 22 and refuses to try the software I got him to record his gameplay. I know he probably needs someone to sit with him and figure out the software and encourage him, but I'm a woman of few words and honestly, it's more like nagging at this point. Can you give him a message of encouragement to make his dream a reality?" if you have a question for me, drop it here so my team can add it to the next Rapid Fire Q&A and follow me on

The Government-Backed Virtua Fighter Crossroads: The Real Reason Behind METI’s IP360 Funding and the Biomechanical Reality of Motion Capture The Ministry of Economy, Trade and Industry (METI) recently selected titles for its IP360 investment initiative to scale Japanese gaming IPs globally. Alongside elite projects from Square Enix, Konami, and Koei Tecmo, Sega’s Virtua Fighter Crossroads has secured substantial state backing. While general audiences view this through a financial lens, analyzing it from a real-world martial arts and motion-capture perspective reveals a profound structural shift. This government boost ensures Sega possesses maximum capital to hire top stunt teams and world-class martial arts actors to record flawless, high-fidelity physical data, mirroring the heavy investment seen in Tekken 8. To understand the magnitude of this reality, look at Sega’s historical DNA. In 1994, when developing Shun Di’s Drunken Master style for Virtua Fighter 2, Sega’s staff famously traveled to mainland China to study traditional kung fu directly from legitimate masters. They brought high-level martial artists with exceptional skeletal alignment back to Japan to record their physical mass shifts using optical sensors. From its inception, the series rejected fabricated game-like animations in favor of authentic anatomical logic. With the new funding, Sega’s Ryu Ga Gotoku Studio can take this philosophy to its absolute limit. In the latest trailer, the masked fighter demonstrates an instant, zero-latency double-palm strike—a precise execution of the explosive power found in Southern Chinese styles like Hung Ga's Seurng Pek Cheung. Because the studio is scanning elite physical performers, the screen perfectly captures the precise muscle relaxation and root stabilization necessary to produce real kinetic force. However, anyone with decades of active combat experience can instantly spot the game-centric compromises, or minor oversights, in the choreography. The trailer shows the fighter delivering this zero-latency strike directly to the opponent’s face while maintaining a standing posture with one hand behind his back. Anatomically, a short-range strike designed to propagate internal shockwaves must target the center of mass, such as the solar plexus, where the kinetic energy cannot escape. Striking the face in a neutral stance simply causes the opponent’s neck to flex backward, safely absorbing and dissipating the energy. It is an aesthetic choice for visual impact, not combat efficiency. Yet, Sega deserves immense praise for their absolute refusal to rely on wire-action physics. Crossroads honors the laws of gravity, capturing the heavy, grounded weight of real combat. The friction, the footwork, and the structural alignment remain remarkably true to real-world physics. This METI funding news represents the resurrection of Sega’s original, uncompromising obsession with true martial arts logic, now amplified by a massive budget to compete with the industry's absolute best. For veterans relying solely on 20-year-old frame data memorization, the sheer volume of realistic telegraphing, weight shifts, and biomechanical indicators in this new system will be overwhelmingly difficult to process on Day 1. Real-world physical logic and elite-tier game knowledge scale infinitely, whereas simple data memorization hits a ceiling. As an active Wing Chun instructor with over 40 years of training, combined with my current status as a Tekken 8 God of Destruction, I can clearly see how this refined system will reward pure human performance over old-school habits. When Crossroads launches, I will break down the absolute truth of these combat mechanics and demonstrate the real physical execution on my YouTube channel. The countdown to the ultimate reality check has begun.

New Risk & Return is streaming now across platforms! @BobSloanS3 breaks down the seventh category of market data: the daily fight between passive flows, active managers, and short interest reshaping how stocks move. @CGasparino brings the headlines including yesterday's scoop on $PSKY $WBD Plus: Q2 sector rotation, energy's air pocket below the April top, the levered vs. unlevered dollar in Micron and Qualcomm, and SpaceX record-setting market cap decline. YouTube⤵️ Podcast links in next post.

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.

Chamath: AI advantage may come less from models than from private inputs. "When labs can build similar models, the real win comes from one unique ingredient in order to monetize it well. Here is a basic thing about machine learning that is worth knowing: if you take 1,000 of the same inputs and give them to Facebook, Microsoft, Google, and Amazon, they will all come up with the same machine learning model. But if you have one extra thing, one little ingredient that all of those other companies do not have, your output can be markedly different. It is like giving two great chefs three ingredients, but giving the third chef one extra ingredient. That person has the ability to do something very special. Right now, we are in a world where everybody is crawling the open web. We are going to move to a world where, as everybody gets sophisticated enough and information is widely available, somebody is going to say, “You know what? This site, I am not going to allow anybody else to access. It is only for me, only for my models.” Those models will become better. So we have to let that play out a little bit. It is going to be a really interesting arms race. The next wave of M&A, for example, could be companies like Google, Microsoft, and Facebook looking at these companies and saying, “Can they be viable inputs to my large language models or to my other machine learning and AI models?” --- A company with unique workflows, transactions, medical records, industrial logs, legal archives, design files, or user behavior can turn boring private data into a compounding advantage. Some startups may never become great public companies on their own, yet still become valuable because they own a data stream that makes a larger AI system sharper, more differentiated, or harder to copy. That turns acquisition strategy upside down: the buyer may not be purchasing revenue, brand, or even software, but a private ingredient for intelligence. ---- From "iConnections" YouTube channel, (link in comment)

A Taiwanese TV anchor with hundreds of thousands of followers was secretly submitting his scripts to China for approval before broadcasting them. He was paid in cryptocurrency for every video. And he was using the same bank accounts to bribe military personnel into handing over Taiwan's missile deployment data. Lin Chen-you, known by his screen name "Ma De," worked as a political reporter and anchor at CTiTV, one of Taiwan's major cable news networks, and ran a YouTube channel with a substantial following. On May 6, 2026, Taiwanese prosecutors indicted him on three counts after a four-month investigation. They are seeking 12 years in prison. The charges are specific and documented. First: Lin produced anti-recall propaganda videos during Taiwan's Legislative Yuan recall campaigns while following instructions from an unidentified Chinese contact, submitting his scripts for pre-approval before broadcasting them on television and YouTube. He then sent back viewership statistics and traffic screenshots as proof of impact. He received 4,325 USDT in Tether cryptocurrency for this work, approximately NT$130,000. Second: Lin provided at least five of his personal bank accounts as a money channel, wiring funds to six active and retired military personnel from Taiwan's Army, Navy, Air Force, and missile units. The bribed soldiers were instructed to film pro-CCP "surrender videos" while holding PRC flags and to photograph and transmit classified military documents through messaging apps. The secrets allegedly handed over included drone and missile data, Han Kuang military exercise details, rocket system specifications, missile deployment locations, new missile parameters, and internal operation manuals. From 2023 to 2025, Lin received nearly 50,000 USDT from Chinese sources, totalling over NT$1 million in illegal gains, laundered through Binance and OKX. Third: prosecutors charged him with money laundering for layering the cryptocurrency payments through multiple exchanges to conceal their origin. The lead prosecutor described Lin as a tool for information warfare who handed content control of a mainstream Taiwanese news platform directly to foreign hostile forces, calling his crimes "heinous and unforgivable." The case will not receive a public trial because the evidence involves classified national security material. Lin told investigators he did not know the money came from Chinese forces. Prosecutors noted that he submitted scripts for Chinese approval before every broadcast and sent back viewership data after each one. The evidence includes bank records, crypto transaction logs, chat histories, and confessions from several of his military co-defendants. The CCP did not need to hack Taiwan's military. It found a news anchor who needed money and gave him a script. #Taiwan# #CCP# #China# #Espionage# #MediaEspionage# #NationalSecurity# #Disinformation# #CTiTV# #Geopolitics# #ChinaSpying#

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