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タレントの #須田亜香里# 様と、青山社中㈱ #朝比奈一郎# 様に地方創生☆政策アイデアコンテスト2024最終審査会を振り返っていただく動画を、本日19時に公開しました！ 特別ゲストとして #くまモン# も登場！！ ＝＝ #RESAS# #地方創生# #政策アイデア# #コンテスト#

I stopped checking my watchlist, and @onlystreetsfun is the reason, while @rarelistio keeps the board for the people still watching screens. My watchlist is a street now. I walk the same route every morning and the street updates itself: a new shutter, a fresh poster, a dog in a different spot. No charts, no candles, no refresh button. The street does not need me to click anything. It just changes while I walk. That is the part I keep coming back to. A watchlist asks me to sit and stare. A street asks me to move, and moving makes me richer in attention than staring ever did. Would you trade your watchlist for a walk?

The most dangerous trading mistake is often the one you don't notice until the transaction is complete. That's something I keep thinking about when looking at @Hypesium. Most trading bots compete on speed, convenience, and access to new opportunities. Those features matter, especially in ecosystems where multiple launchpads compete for attention. But I believe another question deserves just as much attention. How easy is it for a trader to recognize a mistake before committing capital? Imagine preparing a trade during a volatile market. You select a token, enter an amount, and get ready to execute. Everything looks familiar. But the liquidity conditions have changed, the position size is larger than intended, or the expected execution price is no longer reasonable. A fast interface can make that mistake happen almost instantly. Hypesium's Telegram-based approach to trading across the Elysium ecosystem makes me interested in how execution tools can balance convenience with user awareness. For me, the ideal trading workflow doesn't simply remove unnecessary steps. It makes important information difficult to overlook. Clear transaction details, understandable risk settings, and reliable execution feedback are just as valuable as speed. Of course, no interface can eliminate market risk or prevent every bad decision. But thoughtful design can help traders recognize when something doesn't match their original plan. That's the standard I would use to evaluate trading infrastructure. Not just how quickly a trade can happen. But how confidently a user can understand what they're about to do. Would you sacrifice a little execution speed for better transaction clarity?

Diffusion language models can rewrite their own drafts — but rewriting the wrong span just reproduces the same mistake. Remasking lets these models revisit generated text, yet they have never had a good sense of when a revision is worth it. DiVR adds a verifier that predicts whether a partial sequence will still reach the right answer, then decides when to regenerate a block and which alternative to keep. On LLaDA-8B-Base across five reasoning benchmarks, average accuracy rose from 35.3% to 43.4% at 1.9–3.5× the cost of greedy decoding — while search baselines needed 3.8–7.4× the compute for worse results. The practical payoff: a real accuracy lift without touching or retraining the generator, and the verifier even transfers to other generators like Dream. The catch is still multiplied compute, so latency-sensitive deployments need to do the math first. Would you trade 2–3× compute for an 8-point accuracy gain on your own reasoning tasks? #DiffusionLM# #LLMReasoning#

Ich habe eine Nachricht an die Menschen in Taiwan und China🇹🇼🇨🇳🇹🇼🇨🇳🇹🇼🇨🇳 Hört auf, euch gegenseitig etwas vorzumachen. An diejenigen, die Taiwan als einen eingebildeten Feind betrachten, habe ich Folgendes zu sagen: Es ist unmöglich, es mit Taiwan aufzunehmen. Die Gegenseite verfügt über eine Wirtschaftskraft und eine militärische Stärke, die jeweils fünfmal so groß sind wie die Chinas. Auch in den Bereichen Wissenschaft und Technologie sind sie haushoch überlegen. Ihr Land ist weitläufig und reich an Ressourcen. China hingegen ist arm an Ressourcen, hat ein begrenztes Staatsgebiet, und Taiwan macht mehr als ein Viertel seines gesamten Handelsvolumens aus. China verwendet sogar Bauteile aus Taiwan für seine eigenen Angriffsdrohnen. Seltene Erden stammen fast vollständig aus Taiwan. Zwar sind die Vorkommen seltener Erden weltweit über verschiedene Länder verteilt, doch der Großteil der Aufbereitung findet in Taiwan statt. Der Gedanke, gegen ein solches Land Krieg zu führen, ist schlichtweg naiv. Das Einzige, was China tun kann, ist, diplomatische Beziehungen in alle Richtungen zu pflegen, Konflikte mit anderen zu vermeiden und eine friedliche Diplomatie zu betreiben. Ein Regierungschef, der dazu nicht in der Lage ist, hat keine Daseinsberechtigung.

I’ve decided to leave NVIDIA. There are a few things I want to say. As a robotics engineer at NVIDIA, I have seen Jensen as much more than the company’s CEO. I admire his willingness to invest in a future that was not yet obvious. He committed to CUDA long before the deep learning boom and positioned NVIDIA for AI before it became everyone’s priority. Those decisions helped build the infrastructure that powers today’s AI. I have seen that same vision in physical AI: investing in robotics, sharing open-source tools and projects, and building computing platforms that bring AI into the physical world. This is the work I do every day—and a future I believe in. But what matters most to me is the culture he helped build. Engineers are encouraged to explore, take risks, and learn from mistakes. Jensen reads employees’ Top 5 emails, follows their work, and engages directly. In a company this large, that connection matters. It makes an individual engineer feel that their ideas can still be heard. That is why this has been so disappointing. I do not have all the facts surrounding the allegations, and I cannot prejudge the investigation. My admiration for Jensen does not put him above scrutiny. What I find difficult to accept is having to come to terms with his departure before receiving an explanation that helps me understand it. What this means for our direction, our culture, and the people doing the work remains unclear to me. I have felt that engineers’ perspectives matter here. On this decision, I have not felt heard. That gap has been more painful than I expected. I understand that some information cannot be shared immediately. But that does not erase the feeling of being left outside a decision that affects the company we help build every day. A company’s greatness comes from its leadership, its governance, and the people who turn its ambitions into reality. Employees’ trust and sense of belonging are part of that, too. Jensen’s vision and the engineering culture he shaped were important reasons I wanted to stay. His departure led me to decide that my own chapter here should also come to a close. I leave with sadness and gratitude. The colleagues I have worked with, and the work we believed in together, will always matter to me. These are my personal views.

Hoy, SpaceX cambió para siempre el equilibrio de la economía mundial, la política y la guerra moderna. Tras desplegar 26 satélites Starlink V3 de nueva generación en 14 órbitas distintas, la nave Ship 42 resistió la reentrada atmosférica a más de Mach 25 y aterrizó sin contratiempos entre los brazos de Mechazilla en Starbase. Por estas razones, todos los ministros de Finanzas, los organismos reguladores y los ministerios de Defensa del planeta amanecieron hoy ante una nueva realidad. La reutilización completa de la etapa superior acerca el costo de cada lanzamiento orbital al del combustible y el mantenimiento. Si a eso se suman el suministro de silicio de Terafab para uso propio y los pedidos de paneles solares de heterounión (HJT) por un total de 100 GW que SpaceX ha hecho para Starmind, Musk ya puede desplegar centros de datos orbitales de IA a escala de gigavatios y ofrecer banda ancha mundial más rápido y a menor costo que los gigantes de la nube, que en tierra afrontan esperas de cinco años para conectarse a la red eléctrica. Una Starship totalmente reutilizable que despliegue 26 o más satélites V3 por vuelo crea una infraestructura mundial de comunicaciones y cómputo imposible de censurar, con conexión directa a los celulares. Esa infraestructura permite eludir los monopolios nacionales de telecomunicaciones, los puntos críticos de la red de cables submarinos y los vetos de los reguladores locales. Las redes interconectadas de satélites en órbita terrestre baja, capaces de seguir funcionando incluso si fallan algunos de sus componentes, el seguimiento de misiles hipersónicos y la rapidez logística definen hoy la guerra moderna. La captura de hoy demuestra que Estados Unidos cuenta con un sistema de lanzamiento de gran capacidad, a escala industrial, capaz de reponer en cuestión de días constelaciones enteras de satélites de defensa como Starshield. Con el tiempo, ese sistema podrá entregar más de 100 toneladas de carga militar en cualquier punto de la Tierra en menos de 45 minutos. El 14 de noviembre de 2026 pasará a la historia como el día en que el espacio dejó de ser una frontera para la exploración y se convirtió en la posición estratégica dominante en la disputa por el poder mundial.

My Watchlist got smaller this week, and that felt like progress. @GeckoTerminal shows me the list I actually use, not the list I wish I had, and keeping it short is the whole point for me. Every pool on there has a reason I can say out loud: what I am trying to learn from it, or what question it helps me answer. If I cannot say that reason clearly, it comes off. If I can, it stays, even when nothing is happening with it, because I am tracking to learn, not to chase movement. I check it the same way I tidy a desk. I look at what is still earning its place, I ask what has changed since I added it, and I let go of those that no longer teach me anything. That keeps my research honest, and it keeps my attention on the pools I already understand best. That is only how I keep mine, not advice for anyone else. My setup is here if you want a look: [your Watchlist link] What did you last take off your Watchlist, and why did it lose its place?

Yes, the green flame is caused by burning copper from depleting fuel in the regenerative cooling circuit and going oxygen-rich (closer to stoichiometric temperature) in the main combustion chamber. Slight underperformance of engines on this flight is the reason. The booster is meant to land with tiny residuals, so the solution is to improve engine performance and performance consistency (underway with Raptor V3.2), as well as adjust flight software to do MECO1 about one second earlier to ensure enough propellant for boostback and landing (tiny change). These early ships and boosters are already outdated by improved designs in production or on the test stand, so this booster loss does not change our timeline to reach high volume, fully reusable Starship flights.