{
  "id": 276746,
  "title": "My journey between Artificial Intelligence, Visual Arts and industrial experience",
  "url": "https://urgent.news/2026/08/07/minha-jornada-entre-inteligencia-artificial-artes-visuais-e",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-07T19:16:31.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/robsonconcesso/minha-jornada-entre-inteligencia-artificial-artes-visuais-e-experiencia-industrial-560h"
  },
  "original_language": "pt",
  "account": "For a long time, technology, art, and industrial experience seemed to occupy different spaces in my journey. On one hand, practical work, surrounded by processes, equipment, risks, and problems that require concrete solutions. On the other, music and visual arts, which taught me to observe, interpret, and create. More recently, Artificial Intelligence has started to occupy a third space — and, gradually, I realized that these paths didn't need to remain separate. Currently, I study Technology in Artificial Intelligence and Visual Arts. At the same time, I continue to bring with me experience built in the industrial environment and a constant relationship with music and creation. It was precisely from this encounter between seemingly distinct areas that a question arose that today guides much of my studies: what can we create when technical knowledge, creativity, and practical experience stop competing with each other and start to dialogue? This space on DEV Community is born as an attempt to record this search. I don't intend to write as someone who already has all the answers, but as a student and creator who wants to better understand what I learn, apply concepts in real projects, and share the journey with others.\n\nWhere I come from\nMy professional trajectory was built, in large part, within the industrial environment. I work with ceramic welding, an activity in which technical knowledge, attention to procedures, safety, and problem-solving capacity are part of the routine. The industry taught me something that I now recognize as important also for the study of technology: a solution is not valuable just because it seems interesting in theory. It needs to work in the face of real conditions, respect limits, reduce risks, and produce a result that can be understood and repeated. It was in this environment that I developed much of my way of observing problems. Before thinking about sophisticated tools, I seek to understand the process, identify its variables, and ask what really needs to be solved.\n\nOver time, I realized that this way of thinking could dialogue with other areas that have always been part of my life. Art brought sensitivity and interpretation; music, structure and expression; and technology started to offer new possibilities for transforming ideas into systems and concrete experiences.\n\nWhy I started studying Artificial Intelligence\nMy interest in Artificial Intelligence did not arise just from the novelty of the technology, but mainly from the questions it started to awaken in me. I realized that it was not just about machines capable of generating texts, images, or responses, but about a much broader field, involving knowledge, language, decision-making, automation, and different forms of representing problems. This perception awakened in me the desire to understand what exists behind the tools we use. Instead of remaining just as a user of artificial intelligence systems, I started to seek training that would allow me to understand its foundations, its possibilities, and also its limits.\n\nWhen I entered the Artificial Intelligence Technology course, I started to come into contact with topics such as algorithms, machine learning, symbolic AI, knowledge engineering, rule-based systems, and intelligent solution development. Each new concept started to modify also the way I observed problems that I already knew in other contexts. It was in this process that I understood an important difference between simply using a technology and trying to understand how it can be structured to solve a real problem. This change of perspective started to guide my studies and, later, also the development of my own projects.\n\nThe more I study Artificial Intelligence, the more I realize that learning this area is not just about knowing models or tools. It means learning to formulate better questions, represent knowledge, recognize limits, and decide in which situations automation really adds value.\n\nArt, music, and technology don't need to be separate\nFor a long time, art, music, and technology were treated by me as different paths. With the advancement of my studies, however, it became clearer to me that all these areas deal, in some way, with creation, language, structure, and interpretation. In Visual Arts, I learn to observe forms, relationships, composition, symbols, and different ways of communicating an idea. In music, I find rhythm, organization, emotion, and construction of meaning. In Artificial Intelligence, I find systems capable of representing information, recognizing patterns, and supporting creation and decision-making processes.\n\nThis approach made me understand that technology doesn't need to occupy the place of human creativity. It can work as a tool, a means of experimentation, and even as a space for dialogue between different forms of knowledge. This perception also influenced the way I have been developing my own projects. Instead of thinking of Artificial Intelligence just as code or automation, I started to consider also visual identity, language, interaction experience, and the way a person feels when using a system.\n\nPerhaps it's precisely at this intersection that I find my greatest interest: investigating what happens when technical thinking, artistic sensitivity, and practical experience stop walking separately and start contributing to the same construction.\n\nWhen study started to transform into a project\nAt a certain point, I realized that just studying concepts was not enough for me. I needed to experiment, test, make mistakes, correct, and observe how those ideas behaved when faced with a real problem. That's how I started to transform part of the knowledge acquired into projects.",
  "summary": "Durante muito tempo, tecnologia, arte e experiência industrial pareceram ocupar espaços diferentes em minha trajetória. De um lado, o trabalho prático, cercado por processos, equipamentos, riscos e problemas que exigem soluções concretas. De outro, a música e as artes visuais, que me ensinaram a observar, interpretar e criar. Mais recentemente, a Inteligência Artificial passou a ocupar um…",
  "key_points": [
    "Author's journey merges AI, visual arts, and industrial experience.",
    "AI entry reveals paths can coexist, not remain separate.",
    "Study of AI, arts, and industry blurs lines between technology and creativity."
  ],
  "editors_take": null,
  "illustration": "https://urgent.news/ill/276746.png",
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}