What you need to know
- A new study shows that ChatGPT can be used to successfully run any software development company.
- The study cites an 86.66% success rate for AI bots without prior training and minimal intervention from humans.
- The researchers indicated that the chatbot could develop software in about 7 minutes for less than a dollar.
This year, we’ve seen generative AI turn into something of a utopia, unlocking and exploiting opportunities we never knew could be discovered. Admittedly, many people still have reservations about the new technology, which mainly revolve around the privacy and security of their data and information. Let’s not forget the examples where AI chatbots have been seen to cause more harm than good.
However, ever-emerging and evolving technology has also had its fair share in the victory. For example, its advancements in medicine, education and other fields. And now, according to a new study, running a profitable software company is possible with minimal human assistance using OpenAI’s chatbot, ChatGPT.
A group of researchers from Brown University and several Chinese universities put AI chatbots powered by ChatGPT’s 3.5 model to the test to determine whether the technology could be leveraged to develop software without training, as That has been seen by Business Insider.
The process involved creating a make-believe organization (ChatDev) focusing on software development, which was divided into four phases to establish continuity and order as with running any regular business. It was categorized into designing, coding, testing and documentation.
The researchers then moved on to delegate the duty to AI bots. Duties included designing, programming and more. Specifically, duties were assigned based on the hierarchy in the company.
Interestingly, AI bots can communicate with each other, ask for clarifications and share important information throughout the process, with minimal intervention from humans. Potentially mimicking the flow of communication between coworkers in an organization.
The research paper states that a temporary software development company can complete entire software development “in less than seven minutes at a cost of less than a dollar.”
On average, the development of small-sized software and interface using CHADTEV took 409.84 seconds, which is less than 7.00 minutes. In comparison, traditional custom software development cycles, even within agile software development methods, typically require 2 to 4 weeks or even several months per cycle. – Communication Agent for Software Development (Study)
Furthermore, the researchers cite an 86.66% success rate in the software development process. The research paper also indicated that AI bots can leverage their memory and self-reflection capabilities to identify and troubleshoot any problems that arise.
haunted by my own words
(Image credit: Future)
ChatGPT has been in the news recently for all the wrong reasons. First of all, a new report gives the chatbot a bad look, indicating that it is becoming weaker. Not to forget the speculations that its parent company, OpenAI, is on the verge of bankruptcy due to the capital-intensive task of running a chatbot, which amounts to about $700,000 a day.
I recently talked about Generative AI, highlighting several reasons why the technology has a long way to go before it can replace humans. But based on this new study, I may have to take back my words.
Let’s say technology can run a “perfect” company and achieve great achievements like software development with minimal intervention from humans without any prior training. In that case, it is only a matter of time that the technology will be able to perform more sophisticated and complex tasks.
This shouldn’t take much time. At an 86.66% success rate, it is only a matter of time for technology to make up this margin. But where does this leave the professionals?
Moving forward, further research could focus on refining communication protocols and optimizing interaction dynamics within each chat to increase Chatdev’s performance and effectiveness. Additionally, exploring the integration of other emerging technologies, such as reinforcement learning and explainable AI, may provide valuable insights into solving challenges and improving the overall software development process. – Communication Agent for Software Development (Study)
Notably, OpenAI’s GPT-3.5 model comes with its fair share of limitations, including that it only accesses information up to September 2021, which is a large portion of the information uploaded to the web since then. drop offs.
According to Microsoft’s Work Trends Index report, 70% of workers who participated in the study indicated that they were expecting to leverage AI capabilities to reduce their workload, indicating that they are more likely to benefit from the technology. Wasn’t worried about losing his job.
As noted, ChatGPT has been on a decline, with its user base declining for three consecutive months amid accuracy concerns. Not forgetting the huge impact it has on the climate, every time a user asks a question an entire bottle of water is drank to cool down.