artificial-intelligence.
279 writings found
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Why Your AI Benchmark Is Probably Wrong: The N,K Trade-off
Google Research reveals why using 3-5 human raters per item isn't enough for reproducible AI evaluation. The depth vs breadth problem explained.
Meta's AI is Reshoring American Concrete, One Mix at a Time
How Bayesian optimization is helping U.S. concrete producers ditch imported cement and redesign mixes in days instead of months.
Sora's Shutdown: When Burning $1M Daily Isn't Worth the Hype
OpenAI killed Sora after six months, ditching a $1B Disney deal. The real story isn't about data grabs, it's about brutal economics and losing ground to Claude.
Suno v5.5: AI Music Generation Gets Personal with Voice Cloning and Custom Training
Suno's v5.5 update brings voice cloning, custom model training, and personalization. A look at what this means for creators and the music industry.
GitHub's New Data Policy: Your Code Becomes Training Data
GitHub will train AI models on Copilot Free, Pro, and Pro+ user data starting April 24. Here's what developers need to know about this industry shift.
I Built an AI-Powered Issue Triage App and Learned Why Server-Side Architecture Still Matters
Building IssueCrush with GitHub's Copilot SDK taught me hard lessons about session management, graceful degradation, and why mobile AI needs a backend.
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.
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.
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