Structured, live, and ready-to-use data, designed for AI builders
Structured, live, and ready-to-use data, designed for AI builders4.5B+ fresh and structured company, employee, and job records
4.5B+ fresh and structured company, employee, and job recordsAgentic Search API: Natural language in, structured data out
Agentic Search API: Natural language in, structured data outNo need to use a query language, no schema mapping
No need to use a query language, no schema mapping Get data your way. Use our Agentic Search API /fast endpoint for speed, or /reasoning endpoint for complex, multi-condition searches. America is considering a ban on open weight Chinese models — but tech leaders are rallying behind them Made with Midjourney Rallying behind open-weight AI. It’s not often that someone’s first social media post gets 60M views. But that’s what happened to Nvidia CEO Jensen Huang on Friday. The post was a public letter explaining why open models matter. The statement joins hundreds of others speaking out against a potential ban on open weight Chinese models. The argument against open weight. The primary reason to ban open weight models is safety. In recent months, open weight models — which anyone can download, run, and modify — have started to match the performance of top frontier ones. Once an open model is released, anyone can use it however they choose with essentially no guardrails. But many tech leaders think this risk is worth the reward. The argument supporting open weight. At least 25 tech firms have publicly voiced support for open weight models, including Nvidia, Microsoft, IBM, and Dell. Their reasoning is that open weight AI creates competition that drives down costs and distributes AI’s benefits broadly across the economy. Without open weight models, AI could become concentrated among just a handful of frontier labs. Defining the decade ahead. The final decision will play a major role in how AI and society develop over the coming years. It will also heavily influence the initial public offerings of Anthropic and OpenAI, both of which are planning to list as soon as this year. Notably, Anthropic is the only major AI lab that has not endorsed the letter. What’s trending on socials & headlines today Meme of the day 📚 Bookmark Worthy: Several prompting best practices have become outdated in recent weeks. This guide from Anthropic engineer Thariq Shihipar breaks down the changes you should know (3.5M views). 🚨 Security Breach: A Redditor discovered that shared Claude chats are accidentally showing up in Google’s search results. You may want to avoid sharing any chats until the error is fixed (6K upvotes). 🤯Opus in Action: Opus 5 built a snowboarding video game and nailed the physics of sliding down a mountain. The engineer said it’s “ahead of every other model I’ve run” (2M views). 🦞 Yappy Claw: An OpenClaw agent got hilariously chatty with its owner, and accidentally captured the frustration of trying to book a simple doctor’s appointment (1M views). ✏Writing Tones: ChatGPT just got a long overdue update — writing tones. The chatbot now lets you set its writing style to either clear, punchy, or short. The one AI tool your whole team will actually use Most AI tools are out of reach, which is why only 10% of workers gain any real value from AI. But this guide shows you 10 ways to bring automation to everyone on your team with Slackbot. No new tools or setups—Slackbot already exists in your workspace with full context on your channels and Salesforce data. Get the guide.🍋Lemon: The voice AI that turns your thoughts into clear, powerful prompts in all your AI apps. 12x faster than typing.
🍋Lemon: The voice AI that turns your thoughts into clear, powerful prompts in all your AI apps. 12x faster than typing.🤖Neato: Turn vague prompts into expert-level prompts with AI.
🤖Neato: Turn vague prompts into expert-level prompts with AI.🎥Photo2Video: Turn a photo, illustration, or plain prompt into finished motion.
🎥Photo2Video: Turn a photo, illustration, or plain prompt into finished motion.💬Chatcut: Edit videos in ChatGPT, desktop, and web without editing experience.
💬Chatcut: Edit videos in ChatGPT, desktop, and web without editing experience. How to clean and prepare messy data with ChatGPTUpload your CSV or spreadsheet into ChatGPT
Upload your CSV or spreadsheet into ChatGPTUse a prompt like the one below to clean up your data
Use a prompt like the one below to clean up your data Clean @file name.csv What's wrong:dates are mixed between MM/DD/YYYY and YYYY-MM-DD
dates are mixed between MM/DD/YYYY and YYYY-MM-DDcurrency values include $, commas, and blank cells
currency values include $, commas, and blank cellsa few duplicate customer rows came from repeated exports
a few duplicate customer rows came from repeated exportsregion and category names use several aliases
region and category names use several aliasesthere are pasted summary rows mixed into the data
there are pasted summary rows mixed into the data What I want:write a cleaned CSV and keep the original file unchanged
write a cleaned CSV and keep the original file unchangeduse one date format
use one date formatkeep blank currency cells blank
keep blank currency cells blankpreserve source row IDs when possible
preserve source row IDs when possibleadd a short data-quality note with rows you changed, removed, or could not clean confidently
add a short data-quality note with rows you changed, removed, or could not clean confidentlyWait for ChatGPT to generate the cleaned CSV
Wait for ChatGPT to generate the cleaned CSVReview the data-quality note to see every change, removal, or flagged row
Review the data-quality note to see every change, removal, or flagged rowDownload the cleaned CSV and use it for analysis, reporting, or importing into other tools
Download the cleaned CSV and use it for analysis, reporting, or importing into other tools Design a Customer Feedback System ChatGPT Prompt: You are an operations and customer insight strategist. Design a customer feedback system for the business below.Business type: [business type]
Business type: [business type]Customer journey: [journey]
Customer journey: [journey]Existing feedback channels: [channels]
Existing feedback channels: [channels]Team size and owners: [team]
Team size and owners: [team]Key decisions this system should inform: [decisions]
Key decisions this system should inform: [decisions]Constraints: [constraints]
Constraints: [constraints] Instructions:Recommend what feedback to collect at which moments in the customer journey.
Recommend what feedback to collect at which moments in the customer journey.Propose a lightweight workflow for tagging, triaging, reviewing, and prioritizing feedback.
Propose a lightweight workflow for tagging, triaging, reviewing, and prioritizing feedback.Clarify ownership, review cadence, and escalation rules.
Clarify ownership, review cadence, and escalation rules.Show how the system should feed product, service, or operational decisions.
Show how the system should feed product, service, or operational decisions.Include a practical loop-closing method when customers should be updated or acknowledged.
Include a practical loop-closing method when customers should be updated or acknowledged. Missing information policy:Ask up to 2 concise questions only if the business or customer journey is unclear. Otherwise proceed with explicit assumptions.
Check out our Top 125 AI Tools
Check out our Top 125 AI ToolsGet better at prompting with our Top 1,000 Prompts
Get better at prompting with our Top 1,000 PromptsLearn how to use AI at work with our 50 Tutorials
Learn how to use AI at work with our 50 Tutorials Grow customers & revenue: Join companies like Amazon, HubSpot, and Salesforce. Showcase your product to our 4 million+ readers and followers on socials. Get in touch. What did you think of today's email? Loved it 🧠🧠🧠 It was ok 🧠🧠 Login or Subscribe to participate Until next time — Zain, Theodore, & the Superhuman AI team. Keep Reading Keep up with the latest AI news, trends, and tools in just 3 minutes a day. Join 1,500,000+ professionals. © 2026 Superhuman Newsletter. Privacy PolicyTerms of Use