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265
- 1 reply
AI & ML interests
LIFE-HACKING SOCIETY PROGRAMMING TECH-STORIES FUTURISM CYBERSECURITY STARTUPS PRODUCT-MANAGEMENT FINANCE TECH-COMPANIES GAMING WRITING AI HACKERNOON MANAGEMENT DATA-SCIENCE CLOUD MEDIA BUSINESS REMOTE-WORK WEB3 SCIENCE
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The AI Search Marketshare Race: OpenAI Accounts for 66.5% of 2.5M+ Monthly Citations to HackerNoon: https://hackernoon.com/the-ai-search-marketshare-race-openai-accounts-for-665percent-of-25m-monthly-citations-to-hackernoon
OpenAI (66.5%) accounts for the majority of AI search calls to HackerNoon, based on my analysis of end-user–initiated requests from AI assistant and AI search to HackerNoon blogs from April 22 to May 22, 2025. AmazonBot (Anthropic) followed with 25.5%, and Perplexity trailed at 8%. The total volume of end user AI requests jumped to 2,563,800 in 30 days, which is 34% more requests for HackerNoon blogs than my April report on the AI search marketshare — underscoring a growing dependence on AI-driven discovery.
Continue Reading: https://hackernoon.com/the-ai-search-marketshare-race-openai-accounts-for-665percent-of-25m-monthly-citations-to-hackernoon
OpenAI (66.5%) accounts for the majority of AI search calls to HackerNoon, based on my analysis of end-user–initiated requests from AI assistant and AI search to HackerNoon blogs from April 22 to May 22, 2025. AmazonBot (Anthropic) followed with 25.5%, and Perplexity trailed at 8%. The total volume of end user AI requests jumped to 2,563,800 in 30 days, which is 34% more requests for HackerNoon blogs than my April report on the AI search marketshare — underscoring a growing dependence on AI-driven discovery.
Continue Reading: https://hackernoon.com/the-ai-search-marketshare-race-openai-accounts-for-665percent-of-25m-monthly-citations-to-hackernoon
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1766
AI Search Traffic Marketshare for Calling HackerNoon Blogs: 52% OpenAI, 30% Amazon & 18% Perplexity: https://hackernoon.com/ai-search-traffic-marketshare-for-calling-hackernoon-blogs-52percent-openai-30percent-amazon-and-18percent-perplexity
OpenAI (51.8%) leads AI search traffic market share, based on my analysis of end-user–initiated AI Assistant and AI Search requests to HackerNoon. While Amazon (30.4%) and Perplexity (17.9%) also secured significant portions of the market, the total volume of requests (1,915,670 in 30 days) and competition among AI search providers indicate increasing reliance on AI for information retrieval and presentation.
This analysis aggregates AI Assistant and AI Search queries to approximate end-user–initiated AI search traffic across HackerNoon URLs. Non-human traffic such as web crawlers, bots, and automated scripts have been filtered out to ensure data reflects only human-initiated requests. The dataset reviewed comprises instances where AI systems recommended HackerNoon content in response to human queries. Between February 28 and March 28, 2025, HackerNoon received 1,915,670 AI-referred search requests. OpenAI accounted for 991,580 requests, Amazon accounted for 581,990 requests , and Perplexity accounted for 342,100 requests, according to Cloudflare AI Audit tool, which currently tracks these top providers. HackerNoon is a technical audience, so our data is better positioned to answer questions like, if you work in tech what AI search engine do you rely on?
Continue Reading... https://hackernoon.com/ai-search-traffic-marketshare-for-calling-hackernoon-blogs-52percent-openai-30percent-amazon-and-18percent-perplexity
OpenAI (51.8%) leads AI search traffic market share, based on my analysis of end-user–initiated AI Assistant and AI Search requests to HackerNoon. While Amazon (30.4%) and Perplexity (17.9%) also secured significant portions of the market, the total volume of requests (1,915,670 in 30 days) and competition among AI search providers indicate increasing reliance on AI for information retrieval and presentation.
This analysis aggregates AI Assistant and AI Search queries to approximate end-user–initiated AI search traffic across HackerNoon URLs. Non-human traffic such as web crawlers, bots, and automated scripts have been filtered out to ensure data reflects only human-initiated requests. The dataset reviewed comprises instances where AI systems recommended HackerNoon content in response to human queries. Between February 28 and March 28, 2025, HackerNoon received 1,915,670 AI-referred search requests. OpenAI accounted for 991,580 requests, Amazon accounted for 581,990 requests , and Perplexity accounted for 342,100 requests, according to Cloudflare AI Audit tool, which currently tracks these top providers. HackerNoon is a technical audience, so our data is better positioned to answer questions like, if you work in tech what AI search engine do you rely on?
Continue Reading... https://hackernoon.com/ai-search-traffic-marketshare-for-calling-hackernoon-blogs-52percent-openai-30percent-amazon-and-18percent-perplexity
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1193
Meet the Bot That Reads All the Bad News Headlines So You Don’t Have To https://hackernoon.com/meet-the-bot-that-reads-all-the-bad-news-headlines-so-you-dont-have-to
And More Top https://hackernoon.com/ blogs today! https://hackernoon.com/p/publish
The Truth About Senior Engineering at FAANG—It’s Not What You Expect https://hackernoon.com/the-truth-about-senior-engineering-at-faangits-not-what-you-expect
Ex-ICE Agent Urges Congress to Double Down on Immigration Surveillance Tech https://hackernoon.com/ex-ice-agent-urges-congress-to-double-down-on-immigration-surveillance-tech
Too Many AIs With Too Many Terrible Names: How to Choose Your AI Model https://hackernoon.com/too-many-ais-with-too-many-terrible-names-how-to-choose-your-ai-model
Nobody Wants to Pay for Apps Anymore—Except When AI Is Involved https://hackernoon.com/nobody-wants-to-pay-for-apps-anymoreexcept-when-ai-is-involved
Nvidia GTC 2025: AI Goes Big, Robots Get Smarter, and GPUs Rule the World https://hackernoon.com/nvidia-gtc-2025-ai-goes-big-robots-get-smarter-and-gpus-rule-the-world
C++ Metaprogramming: Compilation of Calculations, from Basic Techniques to Advanced Methods https://hackernoon.com/c-metaprogramming-compilation-of-calculations-from-basic-techniques-to-advanced-methods
Has Google Made a $32 Billion Cloud Security Blunder? https://hackernoon.com/has-google-made-a-$32-billion-cloud-security-blunder
Ripple in Time: Is XRP About to Go Parabolic in 2025? https://hackernoon.com/ripple-in-time-is-xrp-about-to-go-parabolic-in-2025
Your Next Tech Job? Vibe Coding https://hackernoon.com/your-next-tech-job-vibe-coding
Ethereum Block Building: The Hidden Economy Behind Every Transaction https://hackernoon.com/ethereum-block-building-the-hidden-economy-behind-every-transaction
Building a Robust JS/TS Monorepo: Best Practices with Yarn, NX and Changesets https://hackernoon.com/building-a-robust-jsts-monorepo-best-practices-with-yarn-nx-and-changesets
And More Top https://hackernoon.com/ blogs today! https://hackernoon.com/p/publish
The Truth About Senior Engineering at FAANG—It’s Not What You Expect https://hackernoon.com/the-truth-about-senior-engineering-at-faangits-not-what-you-expect
Ex-ICE Agent Urges Congress to Double Down on Immigration Surveillance Tech https://hackernoon.com/ex-ice-agent-urges-congress-to-double-down-on-immigration-surveillance-tech
Too Many AIs With Too Many Terrible Names: How to Choose Your AI Model https://hackernoon.com/too-many-ais-with-too-many-terrible-names-how-to-choose-your-ai-model
Nobody Wants to Pay for Apps Anymore—Except When AI Is Involved https://hackernoon.com/nobody-wants-to-pay-for-apps-anymoreexcept-when-ai-is-involved
Nvidia GTC 2025: AI Goes Big, Robots Get Smarter, and GPUs Rule the World https://hackernoon.com/nvidia-gtc-2025-ai-goes-big-robots-get-smarter-and-gpus-rule-the-world
C++ Metaprogramming: Compilation of Calculations, from Basic Techniques to Advanced Methods https://hackernoon.com/c-metaprogramming-compilation-of-calculations-from-basic-techniques-to-advanced-methods
Has Google Made a $32 Billion Cloud Security Blunder? https://hackernoon.com/has-google-made-a-$32-billion-cloud-security-blunder
Ripple in Time: Is XRP About to Go Parabolic in 2025? https://hackernoon.com/ripple-in-time-is-xrp-about-to-go-parabolic-in-2025
Your Next Tech Job? Vibe Coding https://hackernoon.com/your-next-tech-job-vibe-coding
Ethereum Block Building: The Hidden Economy Behind Every Transaction https://hackernoon.com/ethereum-block-building-the-hidden-economy-behind-every-transaction
Building a Robust JS/TS Monorepo: Best Practices with Yarn, NX and Changesets https://hackernoon.com/building-a-robust-jsts-monorepo-best-practices-with-yarn-nx-and-changesets
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Hallucinations Blog Research Reading List:
Hallucinations Are A Feature of AI, Humans Are The Bug https://hackernoon.com/hallucinations-are-a-feature-of-ai-humans-are-the-bug
Overcome LLM Hallucinations Using Knowledge Bases https://hackernoon.com/overcome-llm-hallucinations-using-knowledge-bases
How to Detect and Minimise Hallucinations in AI Models https://hackernoon.com/how-to-detect-and-minimise-hallucinations-in-ai-models
Predictive Coding, AI: Modeling Placebos in RCTs for Psychedelics and Antidepressants https://hackernoon.com/predictive-coding-ai-modeling-placebos-in-rcts-for-psychedelics-and-antidepressants
A Simple Method to Improving the Accuracy of Your RAG System https://hackernoon.com/say-goodbye-to-ai-hallucinations-a-simple-method-to-improving-the-accuracy-of-your-rag-system
Gen AI Hallucinations: The Good, the Bad, and the Costly https://hackernoon.com/gen-ai-hallucinations-the-good-the-bad-and-the-costly
Why Do LLMs Hallucinate? https://hackernoon.com/why-do-llms-hallucinate
Truth Serum For The AI Age: Factiverse To Fight Fake News And Hallucinations https://hackernoon.com/truth-serum-for-the-ai-age-factiverse-to-fight-fake-news-and-hallucinations
A Secret Technique To Sidestepping LLM Hallucinations https://hackernoon.com/a-secret-technique-to-sidestepping-llm-hallucinations
The Importance of Explainability in AI (XAI) https://hackernoon.com/tackling-ai-hallucinations-the-importance-of-explainability-in-ai-xai
What You Need to Know About Amazon Bedrock’s RAG Evaluation and LLM-as-a-Judge for Advancing AI https://hackernoon.com/what-you-need-to-know-about-amazon-bedrocks-rag-evaluation-and-llm-as-a-judge-for-advancing-ai
I Over Relied on AI and Those Shortcuts Cost Me https://hackernoon.com/i-over-relied-on-ai-and-those-shortcuts-cost-me
AI’s Non-Determinism, Hallucinations, And... Cats? https://hackernoon.com/ais-non-determinism-hallucinations-and-cats
More to read --> https://hackernoon.com/search?query=hallucinations
Hallucinations Are A Feature of AI, Humans Are The Bug https://hackernoon.com/hallucinations-are-a-feature-of-ai-humans-are-the-bug
Overcome LLM Hallucinations Using Knowledge Bases https://hackernoon.com/overcome-llm-hallucinations-using-knowledge-bases
How to Detect and Minimise Hallucinations in AI Models https://hackernoon.com/how-to-detect-and-minimise-hallucinations-in-ai-models
Predictive Coding, AI: Modeling Placebos in RCTs for Psychedelics and Antidepressants https://hackernoon.com/predictive-coding-ai-modeling-placebos-in-rcts-for-psychedelics-and-antidepressants
A Simple Method to Improving the Accuracy of Your RAG System https://hackernoon.com/say-goodbye-to-ai-hallucinations-a-simple-method-to-improving-the-accuracy-of-your-rag-system
Gen AI Hallucinations: The Good, the Bad, and the Costly https://hackernoon.com/gen-ai-hallucinations-the-good-the-bad-and-the-costly
Why Do LLMs Hallucinate? https://hackernoon.com/why-do-llms-hallucinate
Truth Serum For The AI Age: Factiverse To Fight Fake News And Hallucinations https://hackernoon.com/truth-serum-for-the-ai-age-factiverse-to-fight-fake-news-and-hallucinations
A Secret Technique To Sidestepping LLM Hallucinations https://hackernoon.com/a-secret-technique-to-sidestepping-llm-hallucinations
The Importance of Explainability in AI (XAI) https://hackernoon.com/tackling-ai-hallucinations-the-importance-of-explainability-in-ai-xai
What You Need to Know About Amazon Bedrock’s RAG Evaluation and LLM-as-a-Judge for Advancing AI https://hackernoon.com/what-you-need-to-know-about-amazon-bedrocks-rag-evaluation-and-llm-as-a-judge-for-advancing-ai
I Over Relied on AI and Those Shortcuts Cost Me https://hackernoon.com/i-over-relied-on-ai-and-those-shortcuts-cost-me
AI’s Non-Determinism, Hallucinations, And... Cats? https://hackernoon.com/ais-non-determinism-hallucinations-and-cats
More to read --> https://hackernoon.com/search?query=hallucinations
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My Favorite AI Blog Posts on HackerNoon RN:
"AI Chatbots Are Getting Too Good at Making You Say ‘Yes’" https://hackernoon.com/ai-chatbots-are-getting-too-good-at-making-you-say-yes
"Text-to-SQL Was Supposed to Be AI’s Killer App. It’s Not." https://hackernoon.com/text-to-sql-was-supposed-to-be-ais-killer-app-its-not
"This AI Model Gives Edge Devices Eyes on the Back of Their Heads" https://hackernoon.com/this-ai-model-gives-edge-devices-eyes-on-the-back-of-their-heads
"Standardizing Dataset Documentation to Improve Machine Learning Outcomes" https://hackernoon.com/standardizing-dataset-documentation-to-improve-machine-learning-outcomes
"The Internet Is Worse Than Ever, But We’re Too Addicted to Leave" https://hackernoon.com/the-internet-is-worse-than-ever-but-were-too-addicted-to-leave
"DeepSeek vs ChatGPT vs Perplexity vs Qwen vs Claude vs DeepMind" https://hackernoon.com/deepseek-vs-chatgpt-vs-perplexity-vs-qwen-vs-claude-vs-deepmind-more-ai-agents-and-new-ai-tools
"Mitigating Framing Bias with Polarity Minimization Loss: Experiments"
https://hackernoon.com/mitigating-framing-bias-with-polarity-minimization-loss-experiments
"AI Is Now Creating Antidotes for Snake Venom" https://hackernoon.com/ai-is-now-creating-antidotes-for-snake-venom
"human carbon consciousness and AI silicon sentience" https://hackernoon.com/so-how-does-one-really-determine-ai-is-conscious
"Why Natural Language Coding Isn’t for Everyone—Yet" https://hackernoon.com/why-natural-language-coding
"What Is a Diffusion LLM and Why Does It Matter?" https://hackernoon.com/what-is-a-diffusion-llm-and-why-does-it-matter
"AI-Augmented Development: Redefining the Role of Product Managers" https://hackernoon.com/ai-augmented-development-redefining-the-role-of-product-managers
And a bonus story from 2018: "20 top lawyers were beaten by legal AI. Here are their surprising responses" https://hackernoon.com/20-top-lawyers-were-beaten-by-legal-ai-here-are-their-surprising-responses-5dafdf25554d
"AI Chatbots Are Getting Too Good at Making You Say ‘Yes’" https://hackernoon.com/ai-chatbots-are-getting-too-good-at-making-you-say-yes
"Text-to-SQL Was Supposed to Be AI’s Killer App. It’s Not." https://hackernoon.com/text-to-sql-was-supposed-to-be-ais-killer-app-its-not
"This AI Model Gives Edge Devices Eyes on the Back of Their Heads" https://hackernoon.com/this-ai-model-gives-edge-devices-eyes-on-the-back-of-their-heads
"Standardizing Dataset Documentation to Improve Machine Learning Outcomes" https://hackernoon.com/standardizing-dataset-documentation-to-improve-machine-learning-outcomes
"The Internet Is Worse Than Ever, But We’re Too Addicted to Leave" https://hackernoon.com/the-internet-is-worse-than-ever-but-were-too-addicted-to-leave
"DeepSeek vs ChatGPT vs Perplexity vs Qwen vs Claude vs DeepMind" https://hackernoon.com/deepseek-vs-chatgpt-vs-perplexity-vs-qwen-vs-claude-vs-deepmind-more-ai-agents-and-new-ai-tools
"Mitigating Framing Bias with Polarity Minimization Loss: Experiments"
https://hackernoon.com/mitigating-framing-bias-with-polarity-minimization-loss-experiments
"AI Is Now Creating Antidotes for Snake Venom" https://hackernoon.com/ai-is-now-creating-antidotes-for-snake-venom
"human carbon consciousness and AI silicon sentience" https://hackernoon.com/so-how-does-one-really-determine-ai-is-conscious
"Why Natural Language Coding Isn’t for Everyone—Yet" https://hackernoon.com/why-natural-language-coding
"What Is a Diffusion LLM and Why Does It Matter?" https://hackernoon.com/what-is-a-diffusion-llm-and-why-does-it-matter
"AI-Augmented Development: Redefining the Role of Product Managers" https://hackernoon.com/ai-augmented-development-redefining-the-role-of-product-managers
And a bonus story from 2018: "20 top lawyers were beaten by legal AI. Here are their surprising responses" https://hackernoon.com/20-top-lawyers-were-beaten-by-legal-ai-here-are-their-surprising-responses-5dafdf25554d
Smooke
updated
a
collection
6 months ago
Smooke
updated
a
collection
8 months ago
Post
1866
Check out The AI Writing Contest with
@BrightData
! https://www.contests.hackernoon.com/ai-writing-contest Cash prizes for innovative approaches to AI and LLM training. We publish blog posts, research papers, stories of side hustles, you name it.
Any story tagged #AI enters to win. Most recent stories: https://hackernoon.com/tagged/ai and RSS feed https://hackernoon.com/tagged/ai/feed
Couple of favorite recent posts we published:
Why Salesforce and Microsoft Are Battling for the Future of AI Agents https://hackernoon.com/why-salesforce-and-microsoft-are-battling-for-the-future-of-ai-agents
Decentralized AI Summit at MIT Votes OriginTrail As The Best Decentralized AI Project https://hackernoon.com/decentralized-ai-summit-at-mit-votes-origintrail-as-the-best-decentralized-ai-project
Studying is Overrated https://hackernoon.com/studying-is-overrated
Why Can’t AI Count Letters??? https://hackernoon.com/why-cant-ai-count-letters
The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber? https://hackernoon.com/the-paradox-of-ai-if-it-cant-replace-us-is-it-making-us-dumber
How Does Human Memory Work? https://hackernoon.com/how-does-human-memory-work
Is AI Actually Writing Production-Ready Code? https://hackernoon.com/is-ai-actually-writing-production-ready-code
Our AI Coding Tool Went Viral, Then Everything Broke. This is What We Learned. https://hackernoon.com/our-ai-coding-tool-went-viral-then-everything-broke-this-is-what-we-learned
Startups of The Year: Meet the AI Industry https://hackernoon.com/startups-of-the-year-meet-the-ai-industry
Nobel Prize Winner Geoffrey Hinton Explores Two Paths to Intelligence in AI Lecture https://hackernoon.com/nobel-prize-winner-geoffrey-hinton-explores-two-paths-to-intelligence-in-ai-lecture
Comparing AI vs. Blockchain Hype https://hackernoon.com/comparing-ai-vs-blockchain-hype
The SaaS Apocalypse and How aI Will Give Birth to One-person Tech Giants https://hackernoon.com/the-saas-apocalypse-and-how-ai-wi
Any story tagged #AI enters to win. Most recent stories: https://hackernoon.com/tagged/ai and RSS feed https://hackernoon.com/tagged/ai/feed
Couple of favorite recent posts we published:
Why Salesforce and Microsoft Are Battling for the Future of AI Agents https://hackernoon.com/why-salesforce-and-microsoft-are-battling-for-the-future-of-ai-agents
Decentralized AI Summit at MIT Votes OriginTrail As The Best Decentralized AI Project https://hackernoon.com/decentralized-ai-summit-at-mit-votes-origintrail-as-the-best-decentralized-ai-project
Studying is Overrated https://hackernoon.com/studying-is-overrated
Why Can’t AI Count Letters??? https://hackernoon.com/why-cant-ai-count-letters
The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber? https://hackernoon.com/the-paradox-of-ai-if-it-cant-replace-us-is-it-making-us-dumber
How Does Human Memory Work? https://hackernoon.com/how-does-human-memory-work
Is AI Actually Writing Production-Ready Code? https://hackernoon.com/is-ai-actually-writing-production-ready-code
Our AI Coding Tool Went Viral, Then Everything Broke. This is What We Learned. https://hackernoon.com/our-ai-coding-tool-went-viral-then-everything-broke-this-is-what-we-learned
Startups of The Year: Meet the AI Industry https://hackernoon.com/startups-of-the-year-meet-the-ai-industry
Nobel Prize Winner Geoffrey Hinton Explores Two Paths to Intelligence in AI Lecture https://hackernoon.com/nobel-prize-winner-geoffrey-hinton-explores-two-paths-to-intelligence-in-ai-lecture
Comparing AI vs. Blockchain Hype https://hackernoon.com/comparing-ai-vs-blockchain-hype
The SaaS Apocalypse and How aI Will Give Birth to One-person Tech Giants https://hackernoon.com/the-saas-apocalypse-and-how-ai-wi
Smooke
updated
a
dataset
10 months ago
Post
605
Chomsky predicting LLMs in 1956, curated by Ryan Rhodes (Rutgers)
Post
888
Started a list of LLMs used to make HackerNoon happen:
HackerNoon/models-used-in-hackernoon-publishing-system-668c56a0d10c3be5d338b805
HackerNoon/models-used-in-hackernoon-publishing-system-668c56a0d10c3be5d338b805
Post
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NEW #DecentralizeAI Writing Contest, by InternetComputer.org and HackerNoon.com! 😜 https://www.contests.hackernoon.com/decentralize-ai-writing-contest 🤪
"Not going to beat centralized AI with more centralized AI." - Emad Mostaque
To enter, submit a blog post with the #decentralize-ai tag on HackerNoon.
"Not going to beat centralized AI with more centralized AI." - Emad Mostaque
To enter, submit a blog post with the #decentralize-ai tag on HackerNoon.
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685
The three most used image generation models in the HackerNoon editor are Kandinsky 3.0, Stable Diffusion XL, and RealVisXL V3.0 Turbo.
ai-forever/Kandinsky3.0 stabilityai/stable-diffusion-xl-base-1.0 SG161222/RealVisXL_V3.0
Try out the HackerNoon writing experience here: https://app.hackernoon.com/new
ai-forever/Kandinsky3.0 stabilityai/stable-diffusion-xl-base-1.0 SG161222/RealVisXL_V3.0
Try out the HackerNoon writing experience here: https://app.hackernoon.com/new
Post
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GPT-4o is "Clearly Programmed to Feed Dudes' Egos" - Desi Lydic on the Daily Show. https://www.youtube.com/watch?v=eFkUOi_9140&t=301s
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NEW publishing hub for trending text model academic research papers broken down into open source technical blog posts ➡️ https://textmodels.tech
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2843
Spent the morning designing a super important product: SMALL LANGUAGE MODEL BABY ONESIE https://www.shop.hackernoon.com/all-merch/p/small-language-model-baby-onesie
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- 3 replies
Post
1937
👋 👋 👋 In a recent AI Time Journal Interview, I was asked: How has HackerNoon leveraged AI to enhance its platform? and what lessons have you learned about AI’s role in spam creation and prevention?
https://HackerNoon.com uses AI and machine learning to improve grammar, translate stories, generate featured images, suggest possible headlines, (and note, I would love to hear what else you think we should use AI for!) . Maybe Clippy was ahead of its time? Writers have and will continue to have smart AI assistants. AI can not and should not replace the writer, but it should and can assist the writer and editor throughout the publishing process. We are documenting our approach to editorial at https://EditingProtocol.com. With the rise of LLMs, we’ve seen an influx of AI story spam submissions. Other blogging platforms are hosting so many of these types of machine-generated stories right now. We are actively taking steps not to become a wasteland of AI’s musings. Because every story is reviewed before publication (with about half being rejected), I think our average story quality is higher than other blogging platforms. Every story submission automatically enters into plagiarism and AI writing detection. We highlight what sections are likely, possibly, and unlikely to be written by AI. It’s all about confidence levels. Ultimately, human editors make the final call in interpreting the machines’ reports.
https://HackerNoon.com uses AI and machine learning to improve grammar, translate stories, generate featured images, suggest possible headlines, (and note, I would love to hear what else you think we should use AI for!) . Maybe Clippy was ahead of its time? Writers have and will continue to have smart AI assistants. AI can not and should not replace the writer, but it should and can assist the writer and editor throughout the publishing process. We are documenting our approach to editorial at https://EditingProtocol.com. With the rise of LLMs, we’ve seen an influx of AI story spam submissions. Other blogging platforms are hosting so many of these types of machine-generated stories right now. We are actively taking steps not to become a wasteland of AI’s musings. Because every story is reviewed before publication (with about half being rejected), I think our average story quality is higher than other blogging platforms. Every story submission automatically enters into plagiarism and AI writing detection. We highlight what sections are likely, possibly, and unlikely to be written by AI. It’s all about confidence levels. Ultimately, human editors make the final call in interpreting the machines’ reports.
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- 4 replies
fabian339
updated
a
dataset
over 1 year ago