Welcome to the winner announcement of the Future of AI Writing Contest by GadflyAI and HackerNoon. This contest is the most successful one-month writing contest so far. We published 125 stories in 1 month, generating 200,000+ reads and 24 days of reading time! We thank the HackerNoon writer community for sharing such diverse, well-researched, and educational stories on the future of AI. It was fun reading all the entries. The Future of AI Writing Contest: Top 15 Nominations For selecting the top 15 nominations, we picked all the stories with the future of ai tag on HackerNoon, published in August. Then, we chose the top stories weighing in the following factors: Number of hours read The number of people reached The originality of the content Sponsor feedback Here’s the list of the top 15 stories: by How to Make Any LLM More Accurate with Just a Few Lines of Code @FrederikBussler by Decoding the Future: 50 AI Statistics Highlighting Marketing's Transformation In 2023 @darragh by Creating a Domain Expert LLM: A Guide to Fine-Tuning @shanglun by The Future of Artificial Intelligence (AI) @maken8 by A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API @wise4rmgod Africa: AI and Security by @zraso by Critical Thinking to AI: Are you a Friend or Foe? @meadhbhh by LLMs Don't Understand Negation @omerosenbaum by It's Not the Machines, Dummy — It's Our Sociopolitical-Economic System @djcampbell by Automating the Automation: Can AI Fully Take Over the Data Scraping Process? @cerniauskas by Could Wall Street’s ‘Roaring 20s’ be Powered by Undervalued Generative AI Stocks? @dmytro-spilka by How LLM Models Secretly Push Political Agendas - Shocking Truth Revealed! @Manish-sharma by How to Prioritize AI Projects Amidst GPU Constraints @prerakgarg by AI and the Future of Space Exploration @induction by How to Structure Your Machine Learning Team for Success @cheparukhin Wow, a solid line-up HackerNooners! You made it difficult for us to choose one winner, but there has to be one. The winner #future-of-ai story with 4800+ reads and the highest number of votes is: https://hackernoon.com/how-to-make-any-llm-more-accurate-in-just-a-few-lines-of-code?embedable=true Context-dependent, ambiguous, and diverse, language data is a wild beast that even the best algorithms struggle to tame. It’s impossible to accurately label all this data, which inevitably means that even state-of-the-art LLMs are trained on tons of incorrectly-labeled data. Congratulations, ! You have won $1000. We will contact you to share the next steps to claim your reward. @FrederikBussler Shoutout to all the finalists! Visit to learn more about running and upcoming contests. contests.hackernoon.com