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

Recent Activity

posted an update 3 days ago
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
posted an update 9 days ago
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
liked a model 10 days ago
deepseek-ai/DeepSeek-V3-0324
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posted an update 3 days ago
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1648
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
posted an update 9 days ago
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1165
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
posted an update 24 days ago
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1868
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

posted an update 30 days ago
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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
reacted to burtenshaw's post with 🔥 about 2 months ago
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47589
We’re 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
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posted an update 5 months ago
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1863
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
reacted to fdaudens's post with 🔥 8 months ago
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2912
🚀 How The Washington Post Uses AI to Empower Journalists 🔍📰

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:

🎥 What it does:
• Extracts stills from video files
• Processes on-screen text
• Labels objects in images

🗳️ First big project:
Analyzed 745 Republican campaign ads on immigration (Jan-Jun 2024)

🤝 Human-AI collaboration:
• AI extracts and organizes data
• Reporters verify and analyze findings

🔎 Thorough approach:
• Manual review of all 745 ads
• Reverse image searches when context is lacking
• Cross-referencing with AdImpact transcripts

💡 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.

👉 Read the full article and the methodology: https://www.washingtonpost.com/elections/interactive/2024/republican-campaign-ads-immigration-border-security/
posted an update 8 months ago
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Chomsky predicting LLMs in 1956, curated by Ryan Rhodes (Rutgers)
posted an update 9 months ago
posted an update 9 months ago
posted an update 10 months ago
reacted to Tar9897's post with 🚀 10 months ago
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2205
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 :)
reacted to MrOvkill's post with ❤️ 10 months ago
reacted to singhsidhukuldeep's post with 👀 10 months ago
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1493
Every time a new model is released that is topping 10+ leaderboards on 50+ benchmarks... 🚀

My brain goes... I will wait for the LMSYS Chatbot Arena results! 🤔

User-facing evaluation, such as Chatbot Arena, provides reliable signals but is costly and slow. 🐢

Now we have MixEval, a new open benchmark with a 96% correlation to LMSYS Chatbot Arena and Human preferences. 🎯

It comes with MixEval (4k samples) and MixEval Hard (1k samples) 📊

Can use GPT-3.5-Turbo or any other open-source models as Parser/Judge 🤖

It takes less than 6% of the time and cost of MMLU 💸

As expected:
In open models: Qwen2 72B >> Llama 3 70B >> Mixtral 8x7B 🔝
In Closed Models: GPT-4o >> Claude 3 Opus >> Gemini Pro 🔒

Leaderboard: https://mixeval.github.io/ 📈
posted an update 11 months ago
posted an update 11 months ago
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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
replied to their post 11 months ago
posted an update 12 months ago