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#이찬혁# 의 첫 솔로 정규 앨범 [ERROR]에서 가장 좋아하는 가사를 공유해주세요! 추첨을 통해 싸인 CD를 드립니다💿 자세한 이벤트 참여 방법은 아래 링크를 참고해주세요👇 🖱 #악뮤# #ERROR_최애가사#

Elon Musk on the physics of truth: “Truth is not an easy thing But you can aspire to the truth. You can try to get as close to the truth as possible with minimum error while acknowledging that there will be some error in what you’re saying This is how physics works. You don’t say you’re absolutely certain about something, but a lot of things are extremely likely Aspiring to the truth is very important”

I had Opus 4.8 in Claude Code write a sophisticated, if minor, academic paper from a archive of hundreds of de-identified research files from years ago I had to use GPT-5.5 Pro as a reviewer, it spotted one major error & some minor points. Opus corrected

As a young socialist, Hayek read Ludwig von Mises’ 1920 paper “Economic Calculation in the Socialist Commonwealth.” Mises showed that socialist central planning isn’t merely inefficient, it’s impossible. Without private property and genuine market prices, planners lack any rational way to allocate scarce resources or determine real costs and needs. Even Oskar Lange, a leading socialist in the calculation debate, effectively conceded the point. While he promoted “market socialism” with trial-and-error pricing by a central board, real-world socialist planners in Eastern Europe quietly relied on world capitalist market prices as a guide. Without external free-market price signals, pure socialism would be economically blind and coordination would collapse. Mises went further, arguing that interventionism, the “middle way” of government meddling, is inherently unstable. Each intervention creates problems that invite more interventions, eventually leading to full socialization. Price controls cause shortages, subsidies distort production, and the cycle continues until the economy is fully planned. The lesson is clear. Rational economics requires genuine market prices emerging from voluntary exchange and private property. Half-measures don’t stabilize the system. They accelerate the drift into central planning. The Austrian School understood this decades before the collapse of the Soviet bloc proved it in practice.

忍受 iCloud Drive 很久了，这次下决心迁移到 Google Drive 上。 iCloud Drive 你想它立即同步，它不同步，你也不知道它在什么时刻会同步，出错了也不知道为什么，给你 an error Synching has been disabled due to an error

SQUARE ENIX DEBIÓ CREAR GENSHIN IMPACT Un exdirector de Square Enix acaba de declarar que el mayor error histórico de la corporación fue permitir que otro estudio inventara la fórmula de Genshin Impact antes que ellos. Tras analizar la reciente caída financiera de 2026, Jacob Navok culpó a la burocracia por arruinar el futuro de la marca. "La empresa está tan acostumbrada a ser lenta que no puede imaginar cómo sería actuar con rapidez", sentenció, señalando que tenían toda la experiencia técnica para dominar el mercado pero prefirieron estancarse produciendo remakes. Mientras los gigantes japoneses siguen ahogados en papeleo, la competencia extranjera ya se quedó con el monopolio y el dinero de las nuevas generaciones.

Error 404! ❌ This post disappeared because you haven't completed 5 successful teams yet! 1 Bitcoin to win + a 1M USDC prize pool on the table this #BinancePizza# Day 🍕 What are you waiting for? 👉

SHIMONETA SE HACE CANON Un creador japonés de juegos para adultos conocido como Barrack Ballad reveló que la policía allanó su casa, decomisó su PC y celular, lo interrogó y le impuso una multa de más de 300.000 yenes… todo por olvidar borrar una sola imagen de una waifu sin mosaico. El error ocurrió al transferir archivos entre su teléfono y su computadora y subió temporalmente la imagen a un servidor público 18+. Aunque fue un descuido, las autoridades lo trataron como distribución de material para adultos. Mientras hablaba de las nuevas reglas más estrictas de mosaico en Fantia, el artista advirtió a otros creadores: “Solo por subir una imagen así puedes terminar con multa y antecedentes penales”. Solo en Japón una sola imagen 2D puede convertirte en criminal del mes.

CELL FUE UNA PESADILLA PARA LOS ANIMADORES Katsuyoshi Nakatsuru, legendario animador de Dragon Ball Z, recordó que Cell sigue siendo uno de los personajes más difíciles de dibujar de toda la franquicia. La razón: Todas las manchas que cubren su cuerpo. Reveló que durante la producción de Super Hero, el diseño era tan tedioso que él dibujaba la silueta y le delegaba a otros animadores la tarea de rellenar los lunares para no perder la cabeza. En su momento, Akira Toriyama admitió que añadir esas manchas fue un error de último momento porque el diseño se veía demasiado plano. Terminó rellenándolos uno por uno a mano con plumón en cada dibujo. Respeto máximo a los animadores que hicieron posible al monstruo perfecto.

🐸 To @OpenAI's and @AnthropicAI's leadership teams, boards included, I say this personally and with deep gratitude: your remarkable lack of philosophical seriousness has led OpenAI to stand up a $4 BILLION "deployment company" and Anthropic helped stand up a $1.5 BILLION enterprise services venture for poorly documented synthetic systems you continue to market as so-called "AI". But your strategies now show: @ChatGPTapp and @claudeai are not "AI". You've made a market category error. You're now marketing so-called “AI” while building $5.5B in deployment layers around the HUMAN expertise required to make your "AI" accountable to reality. What is synthetic "intelligence" without accountability? 🤔 These ventures validate the HUMAN as necessary for synthetic output to become accountable system-level action. Thus, your new ventures do not compete with advisory firms but with the "AI" sales pitch itself. 🤡 The market can now see orgs should expect to pay intelligent HUMANS to make synthetic outputs accountable. Though that was already true. To meet you in the middle: most "consultants" are economically unjustifiable LARPers. Most "consultancies" are behind the times in ways which will look absurd in retrospect. Hard agree. But the so-called "AI" thing is getting very silly now, isn't it? I'll rephrase: you're telling the public your products are "intelligent" while setting the practical standard that enterprise customers should still pay HUMANS to implement and operate YOUR MACHINES. I appreciate the indirect shoutout, but...that's just a machine. Not "AI". And this is just a first-order inference, on yours truly—pro bono. History has caught up with you, it seems. Listen: in mature industries, labeling actually matters. Intended use actually matters. Post-market stewardship actually matters. Claims about what a product does actually matter. And in MedTech, we figure out pretty quick who are the leaders and who just has an expired badge. The leaders I choose to serve in regulated industries don't get to hand-wave their burdens away with two letters. They have skin in the game. They have GxP regs to follow, and labeling and filing ecosystems to manage. Their products must succeed on technical and ethical merit. And yet, I see them demonstrate, weekly, good faith accountability. As for OpenAI's and Anthropic's leadership, you are not operating at the standard my clients already meet. So, because your customers deserve better, and because serious investors and consultants—myself among them—will earn serious money to close the accountability gap your strategies just made visible, I had to write this down. But I am not the only serious person who will make this inference. I am just the first to confess it. OpenAI receipt: $4B deployment company Anthropic receipt: $1.5B services venture This is only the beginning. It is not "AI." 🐸