Meta delays release of new AI, weighs licensing Google's Gemini after disappointing trial runs: report - New York Post
Meta delays release of new AI, weighs licensing Google's Gemini after disappointing trial runs: report New York Post
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I built an npm malware scanner in Rust because npm audit isn't enough
Last week I ran npm install on a new project. 847 packages downloaded in twelve seconds. And I thought: what if one of those just stole my AWS keys? Not a crazy thought. It happened before. In 2018, event-stream got a new maintainer who slipped in code that stole cryptocurrency wallets. Two million weekly downloads. In 2021, ua-parser-js was hijacked to install cryptominers. In 2022, the author of colors.js broke it on purpose, taking down thousands of projects overnight. All of them passed npm audit with zero warnings. npm audit only catches what someone already reported npm audit checks a database of known vulnerabilities. If nobody filed a report yet, it stays silent. That gap between "malicious code gets published" and "someone notices" can be days or weeks. By then, you already have i

How to Roll Back a Failed Deployment in 30 Seconds
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Built a script to categorize expenses automatically. Saved 3 hours/month.
Built a script to categorize expenses automatically. Saved 3 hours/month. Spent every Sunday sorting bank transactions into categories for my freelance accounting. Business meals, software subscriptions, travel, office supplies. Copying stuff from my bank CSV into a spreadsheet. After 6 months of this I finally snapped and wrote a Python script. Before (the painful way) Every week I'd download my bank CSV export. Then open it and categorize each transaction myself: Transaction at "Starbucks" → Business meal "AWS Invoice" → Software/tools "United Airlines" → Travel "Office Depot" → Office supplies For maybe 40 to 60 transactions per week this took about 45 minutes. Hated it. The script Basic Python that reads the bank CSV and categorizes based on keywords. Nothing fancy. import pandas as pd




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