Hello. I am Aaron. I lead a five-person team based in the Philippines. We have over the years made our money by landing projects from clients and agencies in the US, Latin America and Europe. We used platforms like Upwork, Freelancer and Toptal to find this work. As you may have noticed, the rise of AI agents and the spread of corporate automation have changed things. Many developers have lost their jobs. These developers are now competing in the freelance market, which has made it harder for us to find work. The space for us has gotten smaller. Because of this our revenue has not dropped over the past few years but has also become very unpredictable. Income levels for developers in Asia are still much lower than what developers earn in the US, Latin America and Europe. At the time the number of companies and clients who were once actively looking for developers from Asia has gone down. The talent pool from the US, Latin America and Europe has grown. Now more competition is coming from those regions. We used to handle these challenges when the work was steady.. Now things are very different. After thinking it through we’ve realized our way of working can no longer support stable long-term income. So we are now looking at two paths: First shifting our focus to AI specialization. Second, expanding our operations into high-revenue markets like the US, Latin America and Europe. But here’s the problem: we don’t have the skills to carry out these plans. Even though we want to move into the AI field we haven’t found the right people to make this shift happen. Our team has technical skills in AI automation. We’ve worked with AI and Large Language Models (LLMs). We believe there is a lot of profit to be made by using AI training platforms like Mercor, AfterQuery, DataAnnotation, Outlier, Turing and Snorkel. Projects in this space often require expertise, in natural sciences not just software engineering. That means we are missing the kind of talent. We also face limitations because of where we're located. We can’t easily bring in people with the background.

Hello. I am Aaron, and I lead a five-person team based in the Philippines. We have historically generated revenue by securing projects from clients and agencies in the U.S., Latin America, and Europe through platforms such as Upwork, Freelancer, and Toptal. However, as you are likely aware, the rise of AI agents and the spread of corporate automation have caused many developers to lose their jobs and flood the freelance market, thereby shrinking the space available for us to operate. Consequently, our revenue has not only gradually declined over the past few years but has also become significantly more volatile. Furthermore, the income levels of Asian developers remain substantially lower than those of their counterparts in the U.S., Latin America, and Europe. Additionally, as the pool of freelance talent from Europe, the U.S., and Latin America has expanded, the number of companies and clients seeking Asian developers has noticeably decreased. While we could manage this disparity in the past when work was plentiful, the current situation is vastly different. Recognizing that our existing methods can no longer guarantee stable, long-term income, I am currently exploring two new strategies. One strategy involves shifting our focus toward AI specialization, while the other entails expanding our operational regions to high-revenue markets such as the U.S., Latin America, and Europe. However, we currently lack the necessary capabilities to execute either of these plans effectively. Although we intend to pivot to AI, we have yet to secure the right experts for the transition. While our team possesses strong technical skills in AI automation, we lack extensive experience in specialized areas like advanced AI/LM (Large Language Models). We see a significant opportunity to generate high revenue by leveraging the rise of AI training platforms(Mercor, AfterQuery, DataAnnotation, Outlier, Turing, Snorkel ); however, we are hindered by a lack of developers with backgrounds in relevant natural sciences and by geographical limitations.

Has AI just solved one of mathematics' hardest $1,000,000 mysteries? 🌊🤖 In September 2026, OpenAI announced a landmark breakthrough: a multi-agent AI system successfully constructed a proof for the Navier–Stokes Millennium Prize Problem (este si un document cu detalii in descriere si comentarii) https://youtu.be/qFup6kWe5SQ

You will learn how to add JavaScript animations to web pages Enjoy! https://www.youtube.com/watch?v=FlApIPuptyw

BEIJING (May 14, 2026) — In a historic summit described by observers as perhaps the most significant in modern history, President Donald J. Trump and President Xi Jinping met in Beijing to redefine the relationship between the world's two largest powers. Marking nine years since his last visit, President Trump arrived at a time when President Xi declared the world is entering a "new era". Overcoming the "Thucydides Trap" Opening the high-stakes meeting, President Xi Jinping posed profound "questions of history," asking whether China and the United States could overcome the so-called "Thucydides Trap" to create a new paradigm of bilateral relations. Xi emphasized that the common interests of both nations far outweigh their differences and that a stable China-U.S. relationship serves as a "strength for the world". "The two sides should be partners, not rivals," Xi stated, noting that the success of one nation is an opportunity for the other. He underscored that as leaders of great powers, they are responsible for writing a "时代答卷" (answer of the times) that brings happiness and stability to over 8 billion people globally. The "Top 30" and the Rule of Reciprocity President Trump responded with characteristic vigor, bringing with him a delegation of what he described as the "greatest businessmen in the world". Trump revealed that he had invited the top 30 business leaders globally, and every single one accepted the invitation to pay their respects to China. "I didn’t want the second or the third in the company. I wanted only the top," Trump remarked, emphasizing that future trade and business dealings would be "totally reciprocal" on the behalf of the United States. Trump praised Xi as a "great leader" and noted that despite past difficulties, the two have always "worked it out very quickly". 250 Years of History: From "New People" to Fast Food At the state banquet, both leaders leaned heavily into the historical and cultural ties between the two nations: - The "New People": Trump recounted how the first American trading ship arrived in China in 1784, led by Samuel Shaw. At the time, Chinese merchants dubbed the Americans the "New People". - A Shared Journey Forward