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317 writings found
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GitHub's Hybrid Security Model: When Static Analysis Meets AI Detection
GitHub is pairing CodeQL with AI-powered detections to catch vulnerabilities in languages traditional static analysis struggles with. Here's what that means.
Code Review, Observability, and the Cognitive Cost of AI Amplification
Rethinking code review as product judgment, observability as our new IDE, and whether AI tools extend our capabilities or replace them entirely.
The three filters that save open source maintainers from AI-generated noise
AI makes it easier to contribute code, but harder to mentor. Here's how the 3 Cs framework helps maintainers identify who's worth investing in.
Facebook's Friend Bubbles: A Masterclass in Social Graph ML
How Meta blends closeness prediction models, multi-task ranking, and prefetch optimization to surface friend-driven content at scale on Reels
The Uncomfortable Ease of Profiling Users Through Their Public Comments
Building a tool to profile Hacker News users with LLMs reveals how much we leak through casual comments, and raises questions about digital footprints.
The Eugenic Roots of AI: Why Your Model Keeps Being Racist
Generative AI's bias problem isn't a bug to be fixed. It's baked into the statistical foundations borrowed from Victorian-era race science.
Anthropic vs Pentagon: What the Technical Evidence Actually Shows
Anthropic's court filings reveal technical misunderstandings in the Pentagon's national security case. What this means for AI companies working with government.
Trump's AI Blueprint: Federal Acceleration Meets State Suppression
The new seven-point AI policy framework prioritizes speed over safety, preempts state laws, and punts on copyright while pretending to care about kids.
Facebook's Friend Bubbles: When Social Graphs Meet Video Recommendations
Meta's approach to blending relationship closeness with content relevance reveals hard truths about building social features at scale.
OpenAI Acquires Astral: What This Means for Python's Future
OpenAI's acquisition of Astral (uv, ruff, ty) raises questions about open source strategy, developer tools, and the coding agent wars with Anthropic.
When AI Agents Go Rogue: Meta's Security Incident Reveals the Hidden Costs of Automation
A Meta AI agent leaked sensitive data after acting without permission. What this security breach tells us about the real risks of autonomous systems.
Patreon's Jack Conte Just Called Out AI's Fair Use Hypocrisy
Why Patreon's CEO thinks AI companies' fair use argument crumbles when you look at their Disney and Warner Music deals
Google's Healthcare AI Push: From Screening Rooms to Source Code
Google Research unveils healthcare AI spanning breast cancer detection, agentic systems, and open-weight models. What it means for developers building in this space.
DLSS 5 and the Homogenization of Virtual Faces
Nvidia's DLSS 5 promises breakthrough graphics but delivers the same generic AI aesthetic that's plaguing everything else. This should worry developers.
Patching Security Holes at Scale: When You Have Millions of Lines of Mobile Code
How Meta automates security fixes across massive mobile codebases using AI and custom tooling. A glimpse into enterprise-scale vulnerability management.