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Tuesday, March 24, 2026
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Open Source Mar 24

The 'Pincer Attack' Thesis: AI Is Hollowing Out Open Source From Both Ends

Ninety-four million downloads per month. That's how popular LiteLLM, a Python proxy library for LLM APIs, was when a threat actor pushed malicious versions to PyPI earlier this year. The compromised package harvested credentials on install - you didn't even need to import it - established persistence through systemd, and could spread laterally across Kubernetes clusters. It was live for three hours before anyone caught it.

Tools Mar 24

Origin: Open-Source Tool Adds 'Git Blame' for AI-Generated Code

When a bug shows up in code that three different AI agents touched last week, the first question is "which AI wrote this?" Origin is a new open-source CLI tool built to answer that.

Models Mar 24

AI Model Inference Prices Keep Dropping Into Spring 2026

A year ago, pushing a million tokens through a top-tier AI API cost roughly $30 on input alone. In early 2026, that same volume often costs a fraction of the price, and the floor keeps dropping.

Open Source Notable Mar 24

Russia's Sber Open-Sources 702B Parameter Model Under MIT License

Sber, Russia's largest bank and a major force in the country's AI development, just open-sourced two new language models under the MIT license: GigaChat-3.1-Ultra-702B and GigaChat-3.1-Lightning-10B.

Tools Mar 24

73-Year-Old Cardiac Patient Builds Health App With Claude, Zero Coding Experience

Last November, a 73-year-old man passed out at home. The diagnosis after hospitalization and multiple tests: dehydration. Something entirely preventable with better daily tracking.

Tools Mar 24

AI Coding Tools Have a UX Problem No One Is Fixing

The AI models inside your coding assistant got dramatically better over the past year. The interface you use to talk to them? It barely moved.

Tools Notable Mar 24

AI Coding Agents Pass Every Test and Still Ship Broken Software

Every test passed. The code was clean, well-documented, and covered by a comprehensive test suite. There was just one problem: the software didn't actually do what it was supposed to do.