Currently I am finding US & Europe based collaborator to support my business. I am a Software Engineer with 8 years of experience. I was extending my work. Simply, I am applying to software jobs with your name in your country's Job Market, and after get job I will handle all technical side and split the income between us. Let me explain in detail. This collaboration allows me, an experienced software engineer, to partner with someone who his excellent English communication skills and can help me secure tech positions. By combining my technical expertise with his strong communication skills, we form a powerful team that can secure jobs quickly and efficiently. With each successful job placement, our income increases. I want to say why this collaboration is needed. In today's competitive job market, collaboration can be the key to landing a role quickly. Together, we tackle each interview smoothly, significantly boosting the chances of securing position. This is especially valuable in December, when many companies are eager to fill roles before the end of year. And let me explain what you will do, the your role responsibilities in this collaboration. You will attend job interviews as a representative, answering questions on behalf of the engineer. This only requires strong, confident English communication - no deep tech knowledge is needed. So you will use your natural communication skills to make a strong impression during the interviews. Confidence and clarity in communication will help drive success. And follow Simple Preparation Steps - Advanced technical skills aren’t required. I will provide all the technical details and specific answers you'll need, so you’re fully prepared for any question that might come up. And I am just going to explain Interview Process in short. The interview process generally includes 3 stages - HR Interview, Technical interview and Final Interview. So for the HR Interview, it's initial interview with a recruiter to discuss my background and fit for the company.

Hello, I’m a software engineer and lead a small, growing team. We’re expanding across multiple platforms and are looking for motivated individuals to collaborate with us, especially those based in the US. The ideal candidate is fluent in English, proactive, and eager to grow. Our team works on projects in e-commerce, AI, blockchain, and mobile applications. Your role is simple: you may join client calls remotely for 1–2 hours per week when needed, allowing our team to stay focused on development. You’re also welcome to participate in our projects and earn additional bonus income. The position offers a monthly salary of $2,000–$2,500, providing extra income with minimal impact on your main job. If you’re interested, feel free to contact me: WhatsApp: +1 229 255 1048 Telegram: @Bravion1025 Gmail: [email protected] Thank you.

Everyone is celebrating that OpenAI finally passed Anthropic on developer spend this week. First time in about two and a half years. Big moment, sure. But i think most people are looking at the wrong scoreboard. That number tracks where individual builders send their money on one routing marketplace. It is not where the enterprise budget goes. The real contracts get signed far away from that dashboard. Here is what actually matters if you run a company. Anthropic holds barely 12 percent of the tokens flowing through that platform and still takes home more than half the spend. That is not losing. That is premium positioning working exactly as designed. Meanwhile, the cheap open models out of China are quietly eating raw usage because they cost a fraction of the US labs. Usage and revenue have completely split apart. Those are two different games now, and leaders keep confusing them. The takeaway for decision makers is simple. Developer enthusiasm tells you what is fun to try this quarter. Enterprise commitment tells you what gets trusted with the workload. Do not build a strategy on the first one.

Everyone says the AI race is won by whoever trains the biggest model. Yesterday's Sakana Fugu launch says otherwise: a router that owns no frontier model beat most of them on benchmarks, and priced output 40-60% cheaper.

For years we told the board we run multiple kubernetes clusters for resilience. Survive a region, contain the blast radius. It was a fine story but it never really moved the budget conversation. What changed is capacity. A serious AI training job no longer fits inside one cluster or one regions gpu pool. So the scheduler that decides where work runs is now quietly deciding your cost per token. That is a finance decision sitting inside a platform tool. The part that matters strategically is this. The old idea of making many clusters behave like one giant cluster is dead. The winning approach keeps every cluster independent and just coordinates across them. Graduation is the market telling you this pattern is now safe to build on. But safe to build on also means late. Bloomberg and Alibaba and Huawei were already running this in production well before the badge. The differentiation window is mostly closed. So the real question for most orgs is not technical. When a training job could land in any cluster tonight who actually owns that decision. Because that person is setting your marginal cost of compute and they probaly dont know it yet. Curious how others are handling gpu placement across clouds right now.