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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?
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Prof. Dr. Vahdettin Engin (@EvimizdeTarih): Damat Ferit Paşa hükümeti demek, işgal güçleriyle beraber hareket eden hükümetler demek. Ancak Anadolu’daki Millî Mücadele güçlendikçe, Sivas Kongresi’nden sonra Damat Ferit Paşa hükümeti istifa etmek zorunda kalıyor. Bu defa Ali Rıza Paşa hükümeti ve Salih Paşa hükümeti kuruluyor. Bu hükümetlerin Anadolu ile iş birliği içine girdiğini görünce, 16 Mart 1920’deki resmî işgal de buradan kaynaklanıyor. “Biraz gevşek tutarsak Türklerin direnişi giderek artacak” düşüncesiyle, 16 Mart 1920’de yeni bir askerî harekât ve ilave askerlerle işgal daha da güçlendiriliyor. Şehzadebaşı Karakolu’nun basılması da o gün gerçekleşiyor. Silahsız askerler orada şehit ediliyor. #AnveZaman#
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Özgenur Reyhan Güler (@OzgenurReyhan) ile “An ve Zaman” 24 TV’de başladı. Konuğumuz; Prof. Dr. Vahdettin Engin (@EvimizdeTarih) Soru, görüş ve önerilerinizi #AnveZaman# etiketiyle bize iletebilirsiniz İyi Seyirler…
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Anthropic set November 19 for its Nasdaq debut, at a $70 to $78 range that values the company at up to $1.45 trillion. In the clip below, CEO Dario Amodei tells NBC News what that means for someone just starting out: "It can do entry-level law work. It can do entry-level finance. It can do entry-level consulting." He also said we can't deny it will eliminate jobs, probably a large number of them. His first advice: learn to use AI. The scarce skill is moving from landing that first job to running the tools that already do it. Is "learn to use AI" still enough, or is that first job already the model's?
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This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer: "AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting We can't deny that it will also eliminate jobs, and probably a large number of them" In a few minutes he names which jobs go first and the one skill that keeps you in the game His own prediction: 50 percent of entry-level white-collar jobs disrupted in the next 1 to 5 years Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI Farming to factories took generations. This time AI hits every step of a career at once His advice fits in one line: "Of course, learn to use AI" The people who start this year won't be competing with AI, they'll be the ones running it Everything below is free. Start today: Anthropic - Prompt Engineering Interactive Tutorial: the fastest way to learn to direct a model Anthropic Courses: from your first prompt to running agents Anthropic Cookbook: real task recipes you can copy today Microsoft - Generative AI for Beginners: 21 lessons, no degree required Microsoft - AI Agents for Beginners: build agents that do the entry-level work for you Hugging Face - Agents Course: free and certified, start to finish Google Cloud - Generative AI: Google's own hands-on notebooks OpenAI Cookbook: code for every common task - Prompt Engineering Guide: the reference everyone links to Andrej Karpathy - Neural Networks Zero to Hero: understand what is under the hood CrewAI: run a small team of AI workers Microsoft - AutoGen: put several agents on one job Awesome LLM Apps: hundreds of real builds to learn from - Short Courses: free 1-hour courses from the people who teach this Total cost: $0 You don't need another year of tuition to learn this. You need to start telling AI what to do 95% will graduate and compete with AI for the same entry-level job The 5% who learn to run it this year will manage the agents doing that job Save this and send it to someone graduating this year
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Esto es una jodida locura. El CEO de Anthropic, Dario Amodei, fue preguntado qué debería hacer un chico que termina la secundaria ahora. Su respuesta: "La IA puede hacer trabajo legal de nivel inicial. Puede hacer finanzas de nivel inicial. Puede hacer consultoría de nivel inicial. No podemos negar que también eliminará empleos, y probablemente una gran cantidad de ellos" En pocos minutos nombra qué trabajos se van primero y la única habilidad que te mantiene en el juego Su propia predicción: el 50 por ciento de los empleos white-collar de nivel inicial se verán afectados en los próximos 1 a 5 años Prompts → Agentes → Compañeros de trabajo IA → Trabajo de nivel inicial hecho por IA De la agricultura a las fábricas tardó generaciones. Esta vez la IA impacta cada etapa de una carrera a la vez Su consejo cabe en una línea: "Por supuesto, aprende a usar IA" Las personas que empiecen este año no estarán compitiendo con la IA, serán quienes la dirijan Todo lo de abajo es gratis. Empieza hoy: Anthropic - Prompt Engineering Interactive Tutorial: la forma más rápida de aprender a dirigir un modelo Anthropic Courses: desde tu primer prompt hasta ejecutar agentes Anthropic Cookbook: recetas de tareas reales que puedes copiar hoy Microsoft - Generative AI for Beginners: 21 lecciones, sin necesidad de título Microsoft - AI Agents for Beginners: construye agentes que hagan el trabajo de nivel inicial por ti Hugging Face - Agents Course: gratis y certificado, de principio a fin Google Cloud - Generative AI: los notebooks prácticos de Google OpenAI Cookbook: código para cada tarea común - Prompt Engineering Guide: la referencia que todos enlazan Andrej Karpathy - Neural Networks Zero to Hero: entiende qué hay debajo del capó CrewAI: ejecuta un pequeño equipo de trabajadores de IA Microsoft - AutoGen: pon varios agentes en un solo trabajo Awesome LLM Apps: cientos de builds reales de los que aprender - Short Courses: cursos gratuitos de 1 hora de quienes enseñan esto Costo total: $0 No necesitas otro año de matrícula para aprender esto. Necesitas empezar a decirle a la IA qué hacer El 95% se graduará y competirá con la IA por el mismo empleo de nivel inicial El 5% que aprenda a dirigirla este año gestionará a los agentes que hacen ese trabajo Guarda esto y envíalo a alguien que se gradúe este año
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Dario looks just like Cesare Borgia. He has been fabricating stories from the very beginning, trying to frighten society, manipulate public opinion, and force the U.S. government to regulate AI. His political allies will then help Anthropic use regulation as a knife to kill open-source models, so they can achieve an oligopoly. To that end, he is even willing to team up with Altman—first eliminate everyone else. The biggest threat to Dario is Jensen Huang, who supports open-source models, and Nvidia is also about to release its own open-source model. The second threat is China’s open-source models. This is why Dario uses the scare tactic that “AI will destroy humanity.” He even wants to turn AI into a religion. All religions originate from fear—they need an apocalypse to terrify the believers. Because the Republicans are vigorously developing AI, the Democrats have turned around and started demanding limits and regulation on AI, using it as a political weapon to attack Trump and the Republican Party. This is the American political-business game. Have you learned it? ---
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Dario looks just like Cardinal Richelieu. He has been fabricating stories from the very beginning, trying to frighten society, manipulate public opinion, and force the U.S. government to regulate AI. His political allies will then help Anthropic use regulation as a knife to kill open-source models, so they can achieve an oligopoly. To that end, he is even willing to team up with Altman—first eliminate everyone else. The biggest threat to Dario is Jensen Huang, who supports open-source models, and Nvidia is also about to release its own open-source model. The second threat is China’s open-source models. This is why Dario uses the scare tactic that “AI will destroy humanity.” He even wants to turn AI into a religion. All religions originate from fear—they need an apocalypse to terrify the believers. Because the Republicans are vigorously developing AI, the Democrats have turned around and started demanding limits and regulation on AI, using it as a political weapon to attack Trump and the Republican Party. This is the American political-business game. Have you learned it? ---
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ÖNCE ANTALYA, ARDINDAN İSTANBUL Cumhurbaşkanı Erdoğan, Katar Emiri Şeyh Temim'i İstanbul'da ağırladı. İki lider Dolmabahçe Ofisi'nde "Karşılıklı Savunma Anlaşması"na imza attı. Liderler bölgesel gelişmeler ve Körfez'de yükselen tansiyonu kapsamlı şekilde ele aldı.
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