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… 🏆 New to HackerNoon writing contests?
Find out about active contests, participation guidelines, and more at contests.hackernoon.com 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! After collating votes from our editorial team, we're thrilled to announce the winners of the AI Writing Contest! The Winners of the AI Writing Contest Are… Best Bright Data Story https://hackernoon.com/how-i-scraped-youtube-comments-with-bright-data-to-understand-customer-sentiment?embedable=true 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. Congratulations @ayinketh, you’ve won $1000. Best AI Story https://hackernoon.com/the-one-shot-generalization-paradox-why-generative-ai-struggles-with-new-information?embedable=true 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. Congratulations @pawarashishanil, you’ve won $1000 Best Web Scraping Story https://hackernoon.com/how-bright-data-ai-made-web-data-scrapingcollection-effortless-the-challenges-before-bright-data-ai-solutions?embedable=true 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 @diamondolmd, you’ve won $500 Congratulations once again to all our winners. Thank you for your hard work! How to Claim Your HackerNoon Writing Contest Prize Contact yes-reply@hackernoon.com and sidra@hackernoon.com 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. Please note that you must contact us within 60 days after the winners’ announcement date. Ready to be a winner? Discover active writing contests on HackerNoon and learn how you can earn a spot on our next winners' list at: contests.hackernoon.com 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. AI Writing Contest Bright Data 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. data 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. 290K+ page views 450 hours of reading time 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: finalists $2,500 prize pool And now, it’s time for the big reveal… 🏆 And now, it’s time for the big reveal… 🏆 New to HackerNoon writing contests? Find out about active contests, participation guidelines, and more at contests.hackernoon.com New to HackerNoon writing contests? New to HackerNoon writing contests? New to HackerNoon writing contests? Find out about active contests, participation guidelines, and more at contests.hackernoon.com Find out about active contests, participation guidelines, and more at contests.hackernoon.com contests.hackernoon.com contests.hackernoon.com contests.hackernoon.com Let’s meet our finalists! AI Writing Contest: Finalists How to Utilize Bright Data for Sentiment Analysis by @adnanaleeza How to Utilize Bright Data for Sentiment Analysis by @adnanaleeza How to Utilize Bright Data for Sentiment Analysis @adnanaleeza Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries by @neo4j Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries by @neo4j Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries @neo4j How I Scraped YouTube Comments with Bright Data to Understand Customer Sentiment by @ayinketh How I Scraped YouTube Comments with Bright Data to Understand Customer Sentiment by @ayinketh How I Scraped YouTube Comments with Bright Data to Understand Customer Sentiment @ayinketh Can We Train AI to Become More Human-Like? by @ssukhpinder Can We Train AI to Become More Human-Like? by @ssukhpinder Can We Train AI to Become More Human-Like? @ssukhpinder How Bright Data Simplifies Web Scraping/Data Collection for AI Training by @diamondolmd How Bright Data Simplifies Web Scraping/Data Collection for AI Training by @diamondolmd How Bright Data Simplifies Web Scraping/Data Collection for AI Training @diamondolmd Data Centric AI? Yes, but… by @docligot Data Centric AI? Yes, but… by @docligot Data Centric AI? Yes, but… @docligot Let's Build a Free Web Scraping Tool That Combines Proxies and AI for Data Analysis by @aviatorscode2 Let's Build a Free Web Scraping Tool That Combines Proxies and AI for Data Analysis by @aviatorscode2 Let's Build a Free Web Scraping Tool That Combines Proxies and AI for Data Analysis @aviatorscode2 Is AI Progress Slowing? The Scaling Debate OpenAI Doesn’t Want to Have by @dosseyrichards Is AI Progress Slowing? The Scaling Debate OpenAI Doesn’t Want to Have by @dosseyrichards Is AI Progress Slowing? The Scaling Debate OpenAI Doesn’t Want to Have @dosseyrichards Weather Image Recognition with AI: Dataset Labeling, Model Training, and Real-world Usecases by @induction Weather Image Recognition with AI: Dataset Labeling, Model Training, and Real-world Usecases by @induction Weather Image Recognition with AI: Dataset Labeling, Model Training, and Real-world Usecases @induction The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information by @pawarashishanil The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information by @pawarashishanil The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information @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! 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! After collating votes from our editorial team, we're thrilled to announce the winners of the AI Writing Contest! After collating votes from our editorial team, we're thrilled to announce the winners of the AI Writing Contest! After collating votes from our editorial team, we're thrilled to announce the winners of the AI Writing Contest! The Winners of the AI Writing Contest Are… Best Bright Data Story https://hackernoon.com/how-i-scraped-youtube-comments-with-bright-data-to-understand-customer-sentiment?embedable=true https://hackernoon.com/how-i-scraped-youtube-comments-with-bright-data-to-understand-customer-sentiment?embedable=true 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. 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. Congratulations @ayinketh, you’ve won $1000. Congratulations @ayinketh, you’ve won $1000. Congratulations @ayinketh , you’ve won $1000. @ayinketh Best AI Story https://hackernoon.com/the-one-shot-generalization-paradox-why-generative-ai-struggles-with-new-information?embedable=true https://hackernoon.com/the-one-shot-generalization-paradox-why-generative-ai-struggles-with-new-information?embedable=true 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. 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. Congratulations @pawarashishanil, you’ve won $1000 Congratulations @pawarashishanil, you’ve won $1000 Congratulations @pawarashishanil , you’ve won $1000 @pawarashishanil Best Web Scraping Story https://hackernoon.com/how-bright-data-ai-made-web-data-scrapingcollection-effortless-the-challenges-before-bright-data-ai-solutions?embedable=true https://hackernoon.com/how-bright-data-ai-made-web-data-scrapingcollection-effortless-the-challenges-before-bright-data-ai-solutions?embedable=true 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. 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 @diamondolmd, you’ve won $500 Congratulations @diamondolmd, you’ve won $500 Congratulations @diamondolmd , you’ve won $500 @diamondolmd Congratulations once again to all our winners. Thank you for your hard work! Congratulations once again to all our winners. Thank you for your hard work! How to Claim Your HackerNoon Writing Contest Prize Contact yes-reply@hackernoon.com and sidra@hackernoon.com 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. Contact yes-reply@hackernoon.com and sidra@hackernoon.com and share the email ID/and or wallet address attached to the winning hackernoon account. yes-reply@hackernoon.com sidra@hackernoon.com 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. Please note that you must contact us within 60 days after the winners’ announcement date. Please note that you must contact us within 60 days after the winners’ announcement date. Ready to be a winner? Ready to be a winner? Discover active writing contests on HackerNoon and learn how you can earn a spot on our next winners' list at: contests.hackernoon.com Discover active writing contests on HackerNoon and learn how you can earn a spot on our next winners' list at: contests.hackernoon.com Discover active writing contests on HackerNoon and learn how you can earn a spot on our next winners' list at: contests.hackernoon.com contests.hackernoon.com contests.hackernoon.com

Hot off the press! This story contains factual information about a recent event.

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

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

10 Days Left: Win From $17,500 by Discussing Smart Contract Deployment on Rootstock

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

10 Days Left: Win From $17,500 by Discussing Smart Contract Deployment on Rootstock

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps