Historia de la Inteligencia Artificial
Revolución AI en el Desarrollo de Software
Evolución de la AI en programación: Del Pasado al Presente
Herramientas para el desarrollo de código
ChatGPT para desarrollo de código
Desarrollo de un script con código generado con ChatGPT
Desarrollo asistido con Claude y sus principios éticos
Github Copilot
Pair Programing con Github Copilot
TabNine
Pair Programming con TabNine
Replit Agent
Asistentes para documentación
Asistentes generadores de texto
Notion AI para Desarrolladores
Mintlify: Documentación Automática con AI
Cursor AI
Cursor AI: La herramienta revolucionaria para Desarrolladores
Exploración de Cursor AI y sus principales características
Planteamiento del proyecto y los casos de uso a desarrollar
Desarrollo del proyecto - Parte 1
Desarrollo del proyecto - Parte 2
Cierre del curso
La nueva era del desarrollo
Artificial intelligence (AI) is not simply a recent phenomenon or a concept that has emerged along with modern tools such as ChatGPT. It has centuries of history that includes moments of crisis, significant breakthroughs, and an acceleration that continues to gain momentum. In 1936, Alan Turing first presented the concept of the Turing machine, a theoretical model for simulating logical computations using algorithms.
During the 1940s, Warren McCulloch and Walter Pitts put forward the idea that neurons could be modeled as logic circuits. This laid the foundation for the development of artificial intelligence. In 1950, Turing's influential paper on computational machinery and intelligence raised the question of whether machines could think. Despite criticism that machines lacked creativity or feelings, Turing argued that they could learn from themselves.
The real rise of artificial intelligence began in 1956, when John McCarthy organized a conference at Dartmouth that formalized the study of AI as a discipline. From that time until the 1970s, several developments were made although after facing technological and data limitations, the discipline went through a period of stagnation known as the "winter of artificial intelligence."
Despite this technological winter, interest in AI was revived by surprising breakthroughs. In 1997, IBM's Deep Blue machine beat the world chess champion, once again showing its potential. This milestone marked the beginning of a new era of research and development.
In 2011, the IBM Watson system managed to win a quiz competition, demonstrating its ability to understand and process human language effectively. This success opened the door to a series of innovations, such as natural language processing and voice recognition, which then enabled tech giants such as Google, Amazon and Microsoft to integrate AI into their services for ordinary users and fully enter the market.
The artificial intelligence revolution continues to consolidate with the arrival of ChatGPT in 2022, offering massive accessibility and optimized tools for software development. Thanks to artificial intelligence, the acquisition of new skills and capabilities in various areas is facilitated, allowing professionals to focus on advanced logic and project management tactics. Today, AI is not only limited to being a tool for experts, but serves as a massive learning platform for millions of people around the world, vastly improving efficiency and creativity in numerous disciplines.
With this understanding and appreciation for the rich history of artificial intelligence, we can look at its many current applications and look forward to future innovations that will continue to transform our lives.
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