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264
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David Smooke
Smooke
AI & ML interests
data, software, news, currency, cryptocurrency, software development, llms, internet usage, software market shares, startup investment data, startup location data, hackernoon
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an
update
13 days ago
posted
an
update
2 months ago
Post
264
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-userāinitiated 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 ā 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-userāinitiated 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 ā 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
posted
an
update
4 months ago
Post
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-userāinitiated 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-userāinitiated 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-userāinitiated 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-userāinitiated 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
posted
an
update
4 months ago
Post
1193
Meet the Bot That Reads All the Bad News Headlines So You Donāt 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 FAANGāItās 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 AnymoreāExcept 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 FAANGāItās 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 AnymoreāExcept 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
posted
an
update
5 months ago
Post
1894
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 Bedrockās 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
AIās 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 Bedrockās 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
AIās Non-Determinism, Hallucinations, And... Cats? https://hackernoon.com/ais-non-determinism-hallucinations-and-cats
More to read --> https://hackernoon.com/search?query=hallucinations
posted
an
update
5 months ago
Post
2170
My Favorite AI Blog Posts on HackerNoon RN:
"AI Chatbots Are Getting Too Good at Making You Say āYesā" https://hackernoon.com/ai-chatbots-are-getting-too-good-at-making-you-say-yes
"Text-to-SQL Was Supposed to Be AIās Killer App. Itās 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 Weāre 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 Isnāt for EveryoneāYet" 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 āYesā" https://hackernoon.com/ai-chatbots-are-getting-too-good-at-making-you-say-yes
"Text-to-SQL Was Supposed to Be AIās Killer App. Itās 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 Weāre 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 Isnāt for EveryoneāYet" 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
reacted to
burtenshaw's
post with š„
6 months ago
Post
50151
Weāre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 29 replies
posted
an
update
9 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 Canāt 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 Canāt 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
reacted to
fdaudens's
post with š„
11 months ago
Post
2917
š How The Washington Post Uses AI to Empower Journalists šš°
An exciting new example in the world of AI-assisted journalism! The Post has developed an internal tool called "Hayatacker" that's enhancing in-depth reporting. Here's why it matters:
š„ What it does:
ā¢ Extracts stills from video files
ā¢ Processes on-screen text
ā¢ Labels objects in images
š³ļø First big project:
Analyzed 745 Republican campaign ads on immigration (Jan-Jun 2024)
š¤ Human-AI collaboration:
ā¢ AI extracts and organizes data
ā¢ Reporters verify and analyze findings
š Thorough approach:
ā¢ Manual review of all 745 ads
ā¢ Reverse image searches when context is lacking
ā¢ Cross-referencing with AdImpact transcripts
š” Key insight from WaPo's Senior Editor for AI strategy Phoebe Connelly:
"The more exciting choice is putting AI in the hands of reporters early on in the process."
This tool showcases how AI can augment journalistic capabilities without replacing human insight and verification. It's a powerful example of technology enhancing, not replacing, traditional reporting skills.
š Read the full article and the methodology: https://www.washingtonpost.com/elections/interactive/2024/republican-campaign-ads-immigration-border-security/
An exciting new example in the world of AI-assisted journalism! The Post has developed an internal tool called "Hayatacker" that's enhancing in-depth reporting. Here's why it matters:
š„ What it does:
ā¢ Extracts stills from video files
ā¢ Processes on-screen text
ā¢ Labels objects in images
š³ļø First big project:
Analyzed 745 Republican campaign ads on immigration (Jan-Jun 2024)
š¤ Human-AI collaboration:
ā¢ AI extracts and organizes data
ā¢ Reporters verify and analyze findings
š Thorough approach:
ā¢ Manual review of all 745 ads
ā¢ Reverse image searches when context is lacking
ā¢ Cross-referencing with AdImpact transcripts
š” Key insight from WaPo's Senior Editor for AI strategy Phoebe Connelly:
"The more exciting choice is putting AI in the hands of reporters early on in the process."
This tool showcases how AI can augment journalistic capabilities without replacing human insight and verification. It's a powerful example of technology enhancing, not replacing, traditional reporting skills.
š Read the full article and the methodology: https://www.washingtonpost.com/elections/interactive/2024/republican-campaign-ads-immigration-border-security/
posted
an
update
12 months ago
Post
605
Chomsky predicting LLMs in 1956, curated by Ryan Rhodes (Rutgers)
posted
an
update
about 1 year ago
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
posted
an
update
about 1 year ago
Post
508
NEW #DecentralizeAI Writing Contest, by InternetComputer.org and HackerNoon.com! š https://www.contests.hackernoon.com/decentralize-ai-writing-contest š¤Ŗ
"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.
posted
an
update
about 1 year ago
Post
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
reacted to
Tar9897's
post with š
about 1 year ago
Post
2208
I made Tenzin public. One use-case at least to predict stock market prices for high-frequency trading. Would love to see the response as well as feedback you have for us. Please understand that this only represents 5% of the codebase of Tenzin 1.0. We will share more models and use-cases based on the feedback we receive along with keeping in mind AI safety and ethics.
Have fun and go and make some money :)
Have fun and go and make some money :)
reacted to
MrOvkill's
post with ā¤ļø
about 1 year ago
Post
1585
Hello!
I am studying PyTorch, and I made something that converged really well for something this simplistic. It isn't masterful, but i'd welcome feedback, improvements, suggestions, anything. Tell me it sucks and to take it down, I will, just wanted to share what i've spent the last 2 days crying to figure out.
https://colab.research.google.com/gist/SMeyersMrOvkill/625371e1816afb2163bdc4194ba74e93/scratchpad.ipynb
I am studying PyTorch, and I made something that converged really well for something this simplistic. It isn't masterful, but i'd welcome feedback, improvements, suggestions, anything. Tell me it sucks and to take it down, I will, just wanted to share what i've spent the last 2 days crying to figure out.
https://colab.research.google.com/gist/SMeyersMrOvkill/625371e1816afb2163bdc4194ba74e93/scratchpad.ipynb
- 3 replies
reacted to
singhsidhukuldeep's
post with š
about 1 year ago
Post
1494
Every time a new model is released that is topping 10+ leaderboards on 50+ benchmarks... š
My brain goes... I will wait for the LMSYS Chatbot Arena results! š¤
User-facing evaluation, such as Chatbot Arena, provides reliable signals but is costly and slow. š¢
Now we have MixEval, a new open benchmark with a 96% correlation to LMSYS Chatbot Arena and Human preferences. šÆ
It comes with MixEval (4k samples) and MixEval Hard (1k samples) š
Can use GPT-3.5-Turbo or any other open-source models as Parser/Judge š¤
It takes less than 6% of the time and cost of MMLU šø
As expected:
In open models: Qwen2 72B >> Llama 3 70B >> Mixtral 8x7B š
In Closed Models: GPT-4o >> Claude 3 Opus >> Gemini Pro š
Leaderboard: https://mixeval.github.io/ š
My brain goes... I will wait for the LMSYS Chatbot Arena results! š¤
User-facing evaluation, such as Chatbot Arena, provides reliable signals but is costly and slow. š¢
Now we have MixEval, a new open benchmark with a 96% correlation to LMSYS Chatbot Arena and Human preferences. šÆ
It comes with MixEval (4k samples) and MixEval Hard (1k samples) š
Can use GPT-3.5-Turbo or any other open-source models as Parser/Judge š¤
It takes less than 6% of the time and cost of MMLU šø
As expected:
In open models: Qwen2 72B >> Llama 3 70B >> Mixtral 8x7B š
In Closed Models: GPT-4o >> Claude 3 Opus >> Gemini Pro š
Leaderboard: https://mixeval.github.io/ š
posted
an
update
about 1 year ago
Post
1060
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
posted
an
update
about 1 year ago
Post
1818
NEW publishing hub for trending text model academic research papers broken down into open source technical blog posts ā”ļø https://textmodels.tech
replied to
their
post
about 1 year ago
it's real and it makes me laugh!
posted
an
update
over 1 year ago
Post
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