{"id":29612,"date":"2022-01-14T08:00:00","date_gmt":"2022-01-14T07:00:00","guid":{"rendered":"https:\/\/www.fundacionbankinter.org\/noticias\/software-2-0-the-future-of-programming-comes-hand-in-hand-with-artificial-intelligence\/"},"modified":"2025-12-18T11:35:08","modified_gmt":"2025-12-18T10:35:08","slug":"software-2-0-the-future-of-programming-comes-hand-in-hand-with-artificial-intelligence","status":"publish","type":"noticias","link":"https:\/\/www.fundacionbankinter.org\/en\/news\/software-2-0-the-future-of-programming-comes-hand-in-hand-with-artificial-intelligence\/","title":{"rendered":"Software 2.0: The future of programming comes hand in hand with artificial intelligence"},"content":{"rendered":"\n

We recently published the major technological trends that are coming this decade<\/a>. Today we talk about one of them, the future of programming. Software 2.0<\/em><\/a>, which refers, among other things, to the use of artificial intelligence<\/a> \u2013 neural networks that use machine learning \u2013 to assist programmers in software development. That is, programs written by machines<\/strong> or by programmers helped by machines. <\/p>\n\n

Software 2.0 promises to accelerate highly complex use cases such as programming for autonomous vehicles. It will also provide organizations with a much easier, iterative, and intuitive way to customize existing code and automate programming tasks. <\/p>\n\n

Origins of the Software 2.0 concept<\/strong> <\/h2>\n\n

The concept of software 2.0 was coined by Andrej Karpathy<\/a>, Tesla’s director of Artificial Intelligence. Karpathy argues that we are at the beginning of a profound change in the way software is developed. Until now, we’ve built software with programming languages like C, Java, or Python, using a process that’s slow and error-prone. He suggested something radically different: using machine learning to program by example<\/strong>. That is, we can collect many examples of what we want the program to do and what it shouldn’t do (examples of correct and incorrect behavior), label them appropriately, and train a model to work properly with new inputs. In short, we can use machine learning to automate software development itself<\/strong>. <\/p>\n\n

The use of software 2.0 is going to become widespread due to emerging trends in machine learning that try to solve many of the difficulties and complexities that currently have the development and application of AI models. <\/p>\n\n

Artificial intelligence that knows how to program<\/strong> <\/h2>\n\n

Thus, one of the most surprising branches of Software 2.0 is what is called AutoML<\/a> (Automated machine learning<\/em>), that is, it is the process of automating the tasks necessary to use machine learning<\/em> solutions. Giants such as Google already have first versions of AutoML.<\/g> This technology will allow people with no previous experience to design machine learning applications<\/strong>, as it could automatically: <\/p>\n\n