ai.
66 writings found
Page 2
WeatherNext 3: How Google's AI Model Changes Weather Forecasting
Google's new WeatherNext 3 AI model uses real-time satellite data for hourly forecasts at 5km resolution. What this means for developers, climate tech, and data infrastructure.
WeatherNext 3: What AI-Powered Weather Forecasting Means for Developers
Google's new WeatherNext 3 model brings real-time satellite data and 5x sharper resolution to weather forecasting. Here's why developers should care.
Reading Claude's System Prompts Like Code
Anthropic publishes Claude's system prompts with version history. What we can learn by diffing them, and what's still hidden.
14 CPU Cores Wasted: The Real Cost of AI Scraping
How LLM training scrapers consume 20% of git.kernel.org's infrastructure, forcing difficult tradeoffs between openness and sustainability.
PhotoScan Shows How Smartphone AI Could Replace Clinical Imaging
Google researchers demonstrate deep learning can predict insulin resistance from phone photos with near-DXA accuracy, raising questions about the future of clinical diagnostics.
WeatherNext Open Sources a Decade of Forecasting Progress
Google DeepMind's cyclone prediction AI achieves state-of-the-art accuracy with an extra day of warning. Now open source.
WeatherNext Open Sources a Decade of Meteorological Progress
Google DeepMind's cyclone forecasting AI achieves state-of-the-art accuracy with an extra day of lead time. Now it's open source.
Why AI Adoption is Stalling: The Context Engineering Problem
The real bottleneck in AI adoption isn't model capability. It's context engineering. Here's why developers need to care about this emerging discipline.
Tech Layoffs and AI: The Market Isn't Buying It
Nearly 140K tech jobs cut in 2026 as companies pivot to AI. But the market's skeptical, and developers should pay attention to what's really happening.
Why AI Adoption Is Stalling: The Context Engineering Problem
The real bottleneck in AI adoption isn't capability, it's context. Michael Foree explains why connecting AI to your actual work is harder than it should be.
Siri AI's Promise Hinges on Developer Adoption
Apple's revamped Siri AI in iOS 27 beta shows real potential, but success depends entirely on whether developers will do the heavy lifting required to integrate it.
How GitHub Cut Copilot Review Cost 20% by Fixing Agent Instructions
GitHub's Copilot code review team found that swapping tools wasn't enough. Rewriting agent instructions around reviewer workflows cut costs by 20%.
Waze Gets Gemini: What AI Voice Integration Really Means
Google is integrating Gemini into Waze with conversational voice commands and smart routing. Here is what this means for developers and AI UX.
How Near-Free AI Intelligence Rewrites Data Systems
AI inference costs have fallen 50x per year. Here's what that means for how we build, query, and trust data systems going forward.
How Near-Free AI Intelligence Will Reshape Data Systems
AI inference costs have dropped 50x per year. Here's what that means for data systems, agentic workloads, and the developers building them.