The AI Writing Contest by Bright Data & HackerNoon: Results Announcement 🎉

Howdy Hackers,

The wait is over—we’re thrilled to announce the finalists and winners of the AI Writing Contest, presented by Bright Data and HackerNoon.

This contest, which kicked off on September 2, 2024, put the spotlight on a key player in the world of Artificial Intelligence—data. Writers explored how AI training data is collected, how it shapes performance, and the best tools for sourcing high-quality datasets.

With AI being one of the hottest topics in tech, it was no surprise that nearly 300 stories were published under the #ai tag for the duration of the contest, racking up 290K+ page views and over 450 hours of reading time. After a two-week extension, the contest officially wrapped up as 2024 came to a close.

Our editors carefully reviewed all submissions and narrowed them down to 10 finalists—all in the running for a share of the $2,500 prize pool as follows:

And now, it’s time for the big reveal… 🏆

Let’s meet our finalists!

AI Writing Contest: Finalists

• How to Utilize Bright Data for Sentiment Analysis by @adnanaleeza

• Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries by @neo4j

• How I Scraped YouTube Comments with Bright Data to Understand Customer Sentiment by @ayinketh

• Can We Train AI to Become More Human-Like? by @ssukhpinder

• How Bright Data Simplifies Web Scraping/Data Collection for AI Training by @diamondolmd

• Data Centric AI? Yes, but… by @docligot

• Let's Build a Free Web Scraping Tool That Combines Proxies and AI for Data Analysis by @aviatorscode2

• Is AI Progress Slowing? The Scaling Debate OpenAI Doesn’t Want to Have by @dosseyrichards

• Weather Image Recognition with AI: Dataset Labeling, Model Training, and Real-world Usecases by @induction

• The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information by @pawarashishanil

From making AI more human-like to scraping YouTube comments for real insights, these finalists are tackling some of the most exciting challenges in AI today. Whether you're interested in data collection techniques, sentiment analysis, or the future of AI scaling, there's a story here for you. Jump in, explore their work, and follow their journey on HackerNoon!

The Winners of the AI Writing Contest Are…

Best Bright Data Story

TLDR: Overcome the challenges with traditional web scraping process, with the use of Bright Data as an all-in-one efficient tool designed to tackle CAPTCHAs, Honeypot, Rate limiting, Block request, and IP blocks faced during data retrieval. Along with Python libraries like Playwright, to scrap data from YouTube.

Best AI Story

Generative AI, like GPT-4, is extraordinary at generating text based on vast amounts of data but fails when confronted with new, unfamiliar information. This “One-Shot Generalization Paradox” demonstrates that despite their power, current AI models rely on pre-existing patterns and struggle with novel tasks. We explore the reasons behind this (from transformer architecture limitations to dense vector representations) and look at promising solutions like meta-learning and neuro-symbolic architectures to enable true generalization in AI.

Best Web Scraping Story

As a business owner, student, drop shipper, or corporate worker, you must have faced the risk of going out of business if you lack access to some (if not the most) crucial piece of data. But fear not; there is a solution that helps you unlock the full potential of web data scraping/collection, which I will show you in this article.

Congratulations once again to all our winners. Thank you for your hard work!

How to Claim Your HackerNoon Writing Contest Prize

• Contact [email protected] and [email protected] and share the email ID/and or wallet address attached to the winning hackernoon account.
• We will validate your claim and share a form requesting your details for reward distribution.
• You will receive your winnings in 2-4 weeks after completing the form.

Ready to be a winner?