ViceSol

Is this even real life right now?! 🤯 My Blackjack table is so chaotic I literally can’t even focus on my cards... DuelCasino streams are on another level of madness tonight. 👉 Tap in to see the chaos for yourself and grab a bonus: duel.com/r/BONUSX #DuelCasino #Blackjack #Gambling

@exeMerlow The best comparisons use the same task, the same inputs, and show the outputs side by side. That's far more useful than headline scores

He didn't believe the Kimi K3 hype. So he ran it against Claude Fable 5 on camera. Same prompts, both models, 12 minutes, results raw on screen. No cherry-picking, nowhere to hide. The context makes it spicy: Moonshot itself admits K3 trails Fable 5 overall while posting wins on coding benchmarks. 2.8 trillion parameters against the model everyone pays for. Benchmarks are marketing until somebody runs them at home. This is somebody running them at home. Watch the middle section where the outputs go up side by side. The gap is visible before he says a word. The verdict lands in the last minute. No spoilers. Leaderboards don't write code. Models do.

@AdelDeveloperX Multi-agent systems are less about replacing people and more about automating repetitive production pipelines. That's where much of the leverage comes from

🚨 أنت متخيل حجم اللي وصلنا له بسبب الذكاء الاصطناعي؟ يوتيوبر ياباني شغال حالياً في 2026 وقناته بالكامل بتدار بـ 7 إيجينتات AI وهو مابيعملش حاجة! خلال زيارة لشقته في طوكيو، الراجل فجر مفاجأة وقال إنه ما فتحش برنامج مونتاج واحد من 10 شهور كاملين، وسايب السيستم شغال لوحده بالملي: - الأول: قاعد 24 ساعة يرصد ترندات YouTube ويشوف الناس مهتمة بإيه حالياً. - التاني: بياخد الفكرة ويكتب السكربت بالكامل بنفس أسلوب وطريقة اليوتيوبر. - التالت: بينشئ لقطات الـ Gameplay والمحتوى البصري المطلوب للفيديو. - البقية (4 إيجينتات): مقسمين الأدوار بينهم ما بين المونتاج، تصميم الصور المصغرة (Thumbnails)، تحسين الـ SEO، وتنسيق سير العمل بالكامل. احفظ البوست ده عندك دلوقتي عشان تفوق وتشوف العالم حواليك رايح فين بالظبط. 🔖 الأرقام المرعبة للسيستم ده: - بفضل نظام الـ Multi-Agent ده، القناة بقت بتنشر 4 فيديوهات طويلة أسبوعياً + فيديو Short كل يوم! - تكلفة التشغيل: حوالي 70 دولار بس في الشهر (استهلاك الـ APIs). - الأرباح: القناة بتعمل إيرادات تقارب 180 ألف دولار شهرياً! 99% من صناع المحتوى والمطورين لسه بيتعاملوا مع الـ AI كأنه شات بوت تسأله ويرد عليك، ومستغربين ليه مش عارفين يواكبوا السوق.. الـ 1% بس هما اللي فهموا إن القوة الحقيقية في بناء أنظمة عمل مستقلة (Autonomous Workflows) بتشتغل وتراجع وتطلع إنتاج كامل بالنيابة عنهم وبأقل تكلفة ممكنة. لايك وفولو عشان يوصلك كل جديد في عالم التقنية!

Tuning into the DuelCasino stream expecting normal blackjack but finding pure, unadulterated chaos on set instead 😭 The scriptwriters for the studio are operating on 100% brainrot tonight, you genuinely cannot make this up. Come watch the absolute circus live and grab your massive bonus here: 👉 duel.com/r/BONUSX #DuelCasino #Blackjack #Gambling

@shiri_shh AI gets much more useful when it can work with live information instead of relying only on what it already knows

GPT-5.6 is absolutely f*cked at trading. They connected it to live options flow, dark pool prints, and SEC filings through Skills. Then gave it one prompt: "Find me whale trades where institutions are positioning before the move." Look at what it built.

@velesxbt The most valuable lesson isn't the $100 million day. It's the risk management that made it possible to still be in the game when the opportunity appeared

A billionaire trader has spent 40 years trying to delete a one-hour documentary. It shows him making $100 million in a single afternoon. He predicted the crash that made it possible three months in advance. He has never explained why he wants the film gone. His name is Paul Tudor Jones. The film is on YouTube. The documentary is called "Trader." PBS filmed it in 1987, three months before Black Monday. Jones was 32 years old, working from a small New York office, wearing shorts and a t-shirt, yelling at his phones, throwing paper across the room, and sleeping under his desk. The film captures him and his research partner Peter Borish overlaying a chart of the 1929 market on 1987, month by month. The two charts tracked within one percent. Borish said this is exactly what happened in 1929. Jones said if the analog holds, October is when it breaks. On October 19, 1987, the Dow fell 22.6 percent in a single day. It remains the largest one-day percentage loss in stock market history. That afternoon, Tudor Jones covered his shorts and made roughly $100 million. He was 33 years old. He was one of the very few traders on the street who came out ahead. He tried to bury the tape because it made him look reckless in a professional world that punished swagger. Twenty years of legal effort did not delete it. Someone kept a copy. It is on YouTube. It has fewer views than most makeup tutorials. The film is not really about a crash. It is about a specific philosophy of trading. Jones is shown building conviction slowly, sizing carefully, then striking hard when the setup arrives. He is never once shown making a random bet. He is shown doing the same thing five times a day, every day, for three months. His signature line, repeated across a 45-year career: "The most important rule of trading is to play great defense, not great offense." He does not try to be right. He tries not to lose. He sets stops tight, cuts positions fast, and never averages down on a loser. Every trade in the film follows this template. Tudor Investment Corp, the fund he founded in 1980, has compounded at roughly 19 percent a year for 45 years. He is 71 years old and still trading. His method has not changed since the film. The lesson: greatness in markets is a refusal, not a talent. Refusal to be reckless. Refusal to be certain. Refusal to average down. Refusal to trust yourself in a drawdown. Tudor Jones has refused those refusals for 45 years. The tape is free. The philosophy is repeated in every trade. Most traders will never watch it.

@rugikkk A second brain becomes valuable when it improves future work, not just stores past work. That's where the compounding happens

Claude, Obsidian and n8n form a second brain that clears $5,200 months from brand UGC deals. Most creators still open a blank CapCut file and hope the brand brief sticks. That loop dies at $1,800. The stack replaces hope with a closed system. Obsidian holds every brand voice, every past script that hit 400k views, every rejection note. Claude reads the vault through a local project and rewrites the next five UGC packages in 3 minutes. n8n watches the inbox, creates the note, triggers Claude, formats the brief, and drops the finished package into the brand portal while the creator sleeps. No more research tabs. No more “what angle worked last time.” Month 1: build the vault and wire the three tools. Month 2: first automated batch ships. Two brands pay $1,100 total. Month 3: the same loop runs on four brands. Average deal $480. Twelve packages leave. Bank shows $5,200. The second brain does not store notes. It compounds every win into the next model. Script that scored 18% engagement gets tagged. Claude pulls only those tags next run. The model improves without extra prompt engineering. UGC brands pay for consistency, not inspiration. This system delivers the same quality every week at the same speed. Set the vault once. Let the three tools run the rest. If this was useful - follow.

@chesny The biggest productivity gains rarely come from better prompts. They come from building a system the AI can work within consistently

Uno de los desarrolladores de Claude acaba de filtrar cómo ÉL usa Claude. No se parece en nada a lo que tú haces. No lo publicó. No hizo un hilo. Mostró su configuración en una llamada y alguien lo grabó. 4 cosas que todo usuario normal está haciendo mal: El primer archivo en su bóveda es CLAUDE.md, un perfil completo de quién es, cómo piensa y cómo quiere que le hablen. Claude lo carga en cada sesión. Nunca abre un chat en frío. Cada proyecto es una carpeta con 4 subcarpetas: entradas, proceso, resultados, feedback. Claude ve un solo proyecto, no toda su vida. Cualquier cosa que hace dos veces se convierte en un archivo de habilidad. Con una sola línea, Claude lo hace a su manera. Todos los días a las 7 a.m., Claude revisa toda la bóveda. Archiva lo nuevo. Lo enlaza. Marca la información obsoleta. Escribe 3 líneas: qué cambió durante la noche. Todo es texto sin formato. Sin nube. Sin ataduras. ¿Sale un modelo mejor? Lo apunta a la misma carpeta. La mayoría de la gente usa Claude como un Google con modales. Él se subió a sí mismo a un sistema de archivos. Guárdalo antes de que esta filtración se haga más grande.

The messages people are sending to the dealers tonight have me absolutely crying 😭 Wtf is wrong with people, seriously? The brainrot has officially reached maximum capacity. Come watch the absolute circus live and grab your massive bonus here: duel.com/r/BONUSX #DuelCasino #Blackjack #Gambling

@Serantych The orchestration layer is becoming just as important as the model itself. Coordination can be a bigger bottleneck than intelligence

Kimi's CEO Zhilin Yang: "everyone's trying to build one smarter agent many agent hits a wall fast, so instead of making it smarter we just made more - one boss, a thousand workers." in a 39-minute talk he explains why one agent won't get you to real work. agent swarms + long context + RL on every sub-agent - that's the fix. bookmark this ↓

@sairahul1 AI engineering is becoming less about chatting with one assistant and more about orchestrating specialized workflows

the engineer who built Claude Code just showed how he runs an entire AI engineering team by himself I've seen $500 agent courses that don't cover what he explains in this interview 5 parallel Claude sessions, separate worktrees, planning agents, coding agents, AI code review he uses them to ship 20-30 pull requests every day without manually writing the code all from the person who actually built Claude Code most people are still trying to find one perfect model that can do everything the better approach is to give different models different roles and make them work together based on this, I put together a complete guide on building a multi-model AI team in 2026 full guide in the article below

🚨SPONGEBOB FINALLY CAUGHT HER LIVE ON STREAM!!!🚨 You genuinely cannot make this up... after the assault drama, SpongeBob cornered the female blackjack dealer behind the scenes and gave her the "PREMIUM SAUCE" live on camera!!! 😱 Watch the absolute unfiltered madness before it gets permanently banned and lock in your huge bonus: 👉 duel.com/r/BONUSX #DuelCasino #Blackjack #Gambling

@cyrilXBT The best way to judge where AI is going isn't by viral quotes. It's by what companies are actually building and shipping

A VIRAL QUOTE ATTRIBUTED TO PICHAI ABOUT "2027 CATCHING UP" IS CIRCULATING RIGHT NOW. IT DOES NOT APPEAR IN ANY ACTUAL INTERVIEW OR TRANSCRIPT. What he actually said, on the record at Google I/O 2026: Google is "firmly in our agentic Gemini era," with Antigravity 2.0 built specifically as a home for orchestrating multiple autonomous agents, not just one coding assistant. Skip the fabricated quote. The real signal is the product. Google built a dedicated app for agent orchestration because that is where they see engineering work actually heading.

@semichenkko The biggest win isn't saving on API costs. It's owning an automation stack you control end to end

This American creator is making $18,500 a month with his AI agency, but he just spent 6 HOURS copying and pasting code to get a single Openclaw bot running on a Mac Mini. 😭 Was it worth the struggle? 1000% yes. Because now, his Mac Mini is a 24/7 autonomous money printer, and his monthly OpenAI/Claude API bill is exactly $0. The Mac Mini M4 is the ultimate cheat code for local AI automation. It pays for itself by completely eliminating your SaaS costs. But you don't need to suffer through 6 hours of terminal errors and chaotic copy-pasting to set it up. I wrote a full guide on how to turn your Mac Mini into a cost-free AI node without losing your mind. Read the article here 👇

FREAKBOB GOT ABSOLUTELY FLATTENED LIVE ON STREAM!! Freakbob tried to get handsy with the new female blackjack dealer tonight and found out the hard way that she is an absolute BEAST! 😭 She literally dropped him on the studio floor in seconds! Watch the exact moment Freakbob got humbled and secure your massive bonus here: 👉 duel.com/r/BONUSX #DuelCasino #Blackjack #Gambling

@semichenkko AI becomes more powerful when it fits into your environment. Local, portable systems can unlock use cases that cloud-only workflows struggle with

This guy from China is making $12,500 a month just by walking around major crypto conferences with a backpack. 🤯 He hooked up a Mac Mini running OpenClaw to a compact CUKTECH 10 Mini battery. But why would anyone need a portable AI server? At massive events, the Wi-Fi is always terrible and power outlets are nonexistent. While other creators wait until the evening to reach their hotel and upload data to the cloud, his pocket AI works entirely locally. It processes keynote audio on the go, extracts alpha insights, and instantly posts viral threads on X. Total monopoly on speed and content generation without being tethered to a wall. How do you build this exact pocket-sized money printer? Breakdown below 👇

@RegalosDigitals AI can help create content. Finding an audience and giving them a reason to subscribe is still the harder part

Un chico de 21 años de Brasil creó una chica trabajadora de la construcción con IA, y 764 hombres compraron una suscripción de pago para verla. Precio de la suscripción: $9.99 Ingresos totales: $7,632 Inversión: $200 gastados en Claude para la generación Eligió un nicho que no estaba saturado y tomó la decisión correcta: la personalidad de "chica de la construcción" realmente captó la atención de los hombres. Al principio, publicó videos de ella en TikTok, y una vez que construyó una audiencia, empezó a promocionar su página de Fanvue, donde se alojaba la suscripción de pago (y algo de contenido ligeramente diferente, si sabes a qué me refiero). Le tomó 37 días configurarlo todo. Recuperó fácilmente su inversión y alcanzó un beneficio sólido. La IA es una herramienta útil, pero ante todo, necesitas tener una buena imaginación.

@adxtyahq Frontend is becoming a fascinating benchmark for AI models. Small differences in code quality and design can have a big impact on the final result

OFFICIALLY SAYING KIMI K3 IS BETTER THAN CLAUDE FABLE-5 AND GPT-5.6-SOL FOR FRONTEND DEVELOPMENT Tried building a macOS-style UI for an AI operating system with Kimi K3. This whole thing took about 15 minutes from a single prompt.

@chrisgpt Lower API costs mean more iterations. For indie developers, that can be the difference between abandoning an idea and actually shipping it

Kimi K3 just 3 shotted this CS:GO × Portal clone for me using around 600,000 tokens. $3.24 in API usage. The same token cost would be $10.80 with Fable 5 & $6 with GPT-5.6 Sol. The era of free indie game development is closer than you think anon!

@Ishh_021 Some of the best AI learning resources are now coming directly from the companies building the models. Worth watching if you're interested in agent workflows and Claude Code

@AnatoliKopadze Competition is one of the best things that can happen in AI. Better models, lower prices, and faster innovation benefit everyone using the technology

Someone is in serious trouble now, Kimi K3 sits among the top models in the world at a fraction of the price. The AI monopoly is cracking, and you can't ignore it. Where the labs see a threat, we users see a win: real competition forces Anthropic and OpenAI to cut prices too. It's no accident Claude extended Fable 5 limits and ChatGPT started resetting 5.6 limits daily. Whoever wins this race, the user already won and honestly that's beautiful to watch.