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It is like a new explanation of Turtle and Hare.: Experienced software engineers entered an experience in charge of some work with the help of AI instruments. Thinking as fast rabbits, developers waited to speed up AI’s work and increase productivity. Instead, technology slows them more. In the context of the experience, the EU free turtle approach would be faster.
The results of this experience, a learn This month, AI and research authors, Joel Becker and Nate Rush, Non-Trade Technologies Research Organization Technical Workers Model Evaluation and Threat Research (Meter) Technical Staff Members, Technical Staff Members
Researchers have received 16 program developers, which have an average of five years of experience, and 16 program developers, part of the projects that are part of their projects. Half of the semi-half, the designers were allowed to use the Cursor Pro or Clod 3.5 / 3.7 Sonnet-and the other half of the Cursor Pro or Clod 3.7, developers.
Believing that AI tools will make them more productive, the program developers predicted that technology will reduce the time of the completion of its tasks. Instead, AI resulted in 19% more than 19% of their duties, technology.
“Although I wanted to believe that my productivity would not suffer when using AI,” I have not helped or maybe my efforts, a business participant, ” Blog Post about the experience.
Why AI slows some employees
So where did Hares go from the road? Experienced developers, in the midst of their projects, the EU’s assistants did not approach a large number of additional context, ie the work diary and the strategies of solving problems, according to their purchase and resolution strategies
“Most of the developers in the study generally have a result of a useful result and generally the end of very impressive work or very impressive work, they said they should spend a lot of time to clean this developer,” he said. Fortune.
Other developers lose time to wait for ChatBots or to wait for AI to create results.
The results of the research contradict the EU economy and the workforce, including 15% of the contradictions Upgrade us to GDP By 2035 and as a result of 25% Increased productivity.
But Rush and Becker, a hurry and Becker said that the results of the EU said the results of the EU.
For one, the example of the work was a new group of new people who are new to these AI tools, including small and non-generalized. Research also measures the technology at a certain time, and the authors, the authors, this will not be able to develop in the future to help develop developers to develop work flows.
The purpose of the research should be widely talked to the AI’s workplace and other places, to introduce more information about the actual effects of AI, to make more information about the actual effects, more about applications.
“Currently, some of the decisions we do around the development and placement of these systems are potentially,” he said. “If we will do this, only let’s not get an open answer. Let’s make a high quality measurement.”
AI’s wider effect on productivity
Economists claimed that the research of meters adapted to the extensive narratives of the AI and productivity. While starting ai Chip in locations at entry levelaccording to Linkedin The head of the head economic opportunity AneoSh Raman can offer decreased income for qualified workers such as experienced software developers.
“It is not the main task of starting using these tools in this particular example or in this particular example or in this particular sample, maybe in case of work well in operation. Fortune.
Humlum was in the same way, EU investigated in connection with the impact of productivity. Found in a business education In Denmark in Denmark in May, among the 25,000 employees, like the US productivity, a similar country, which uses the tools that used the tools improved by 3%.
Humlum’s research Supports MIT Economist and Nobel Laureate Daron Acemoglu’s markets with excessive estimates of productivity from the EU productivity. Acemoglu, only 4.6% of positions within the US economy will be more effective with AI.
“In a hurry to automate everything, the processes that should not be automated, enterprises will spend time and energy and will not receive any of the promised productivity benefits”, “Acemoglu” wrote for Fortune. “The harsh truth is to develop an organization of productivity from any technology, the development of a number of additional investments and work skills, training and work.”
When implemented when implemented by Humlum, Software Developers, AI instruments, this need for this requirement in this need for this need for this need. Conducted research on previous AI productivity self-reported data or Special and contained tasksUsing technology, information about the challenges of qualified workers makes it difficult.
“Many tasks in the real world are simply not as easy as to write to Chatgpt,” said Humlum. “There are many benefits of many experts (they also have many practices that are very useful, and we should ignore this and give up this valuable experience.”
“I would take it as a good reminder to be very careful about how to use these tools,” he said.
