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ProgrammingRe: How I Built An AI Assistant That Answers Questions On Nigerian Laws by LibraEye: 11:56am On Feb 13
Just checked this out. Looks good.
And to think you built this using no code, thumbs up.
BusinessRe: How Inhud Makes Money With The Credit System by LibraEye: 6:58pm On Oct 11, 2023
inHud is back again with another novel idea.
Are you saying there will be no cash payment? If drivers are paid with the credit, how will they convert the credit to cash?
BusinessRe: Driveinhud Rebranded As inHud (Pictures) by LibraEye: 11:35am On Sep 28, 2023
For the fact that people are always talking about you, it shows you're doing something great.
Congratulations on your rebranding from Driveinhud to inHud cool
BusinessRe: Driveinhud App Soars: 45,000 Downloads And 85,000 Bookings In Just 4 Months by LibraEye: 7:05am On Sep 18, 2023
Congrats to the team. I am delighted that Driveinhud has made tremendous progress in just a few months. Continue soaring!
Science/TechnologyAI Chatbot Runs A Software Company by LibraEye(op): 11:25am On Sep 14, 2023
In a groundbreaking study, researchers from Brown University and multiple Chinese universities have demonstrated the astonishing capabilities of AI chatbots powered by models like OpenAI's ChatGPT. These AI agents were tasked with running a hypothetical software development company, ChatDev, and were able to complete the entire software development process in under seven minutes, costing less than one dollar on average.

The experiment was designed to assess whether AI bots, without prior training, could manage the complexities of software development. The process was structured around the waterfall model, a sequential approach consisting of designing, coding, testing, and documenting phases.

Each AI bot was assigned specific roles within the company, such as "CEO," "CTO," "programmer," and "art designer." They communicated with one another with minimal human intervention, making decisions ranging from selecting a programming language to identifying and fixing bugs in the code.

One illustrative scenario involved designing a basic Gomoku game. In this case, the CEO asked the CTO to propose a programming language, to which Python was suggested. The collaborative chat chain continued through the coding and design stages until the software was fully developed.

Remarkably, the AI-powered company completed 70 tasks on average in less than seven minutes and for a cost of under one dollar. It did so while actively identifying and addressing potential vulnerabilities through its memory and self-reflection capabilities, achieving an impressive 86.66% flawless execution rate.

The study's findings shed light on the efficiency and cost-effectiveness of automated software development driven by AI. While acknowledging limitations, such as errors and biases in language models, the researchers believe that these findings may eventually assist junior programmers and engineers in real-world applications.

The implications of this research are significant. It demonstrates how powerful generative AI technologies like ChatGPT can streamline and accelerate specific job functions. In various industries, workers have already begun harnessing the power of AI chatbots like ChatGPT to save time and boost productivity.

For example, coders have utilized generative AI tools for personal and professional tasks, from developing custom programs to aiding in finding apartments. Even Amazon employees have integrated ChatGPT into their software development processes.

While this study marks an exciting leap forward in AI's capabilities, it's essential to remember that AI technology is a tool meant to augment human capabilities, not replace them entirely. It offers tremendous potential for improving efficiency and innovation across industries while also highlighting the need for responsible and ethical AI development and usage.

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