artificial-intelligence.
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Latest Archives
How Meta Rewrote Recommendation Systems From Scratch With Index as Model
Inside SilverTorch: Meta's radical shift from microservices to a single neural network for retrieval
The Human Bottleneck: What Nobody Tells You About AI Development Tools
Exploring how AI shifts the bottleneck from execution to coordination, and why our attention becomes the scarce resource.
SilverTorch and the Death of the Recommendation Microservice
Meta's new Index-as-Model paradigm replaces microservice retrieval with a single PyTorch neural network, and the implications for AI developers are massive.
Claude Opus 4.8 and the Rise of Honest AI
A look at Anthropic's latest model and why its focus on honesty might matter more than raw capability gains.
Sensors That Keep AI-Generated Codebase Maintainable
How I used linters, coupling metrics, and mutation testing to help AI agents self-correct and maintain code quality over time
What Pope Leo XIV's AI Encyclical Gets Right About the Mess We're In
A developer's take on the Vatican’s new AI document and what it means for those building AI systems
The Vatican's AI Encyclical Is the Most Important Document Tech Leaders Will Read This Year
Pope Leo XIV just dropped a masterclass on AI ethics that every developer needs to absorb
Datasette Agent Is the Bridge Between LLMs and Your Data
A technical look at how Datasette Agent brings AI querying to SQLite databases
How Open Science is Reshaping the Future of AI and Research
Google's open science philosophy is democratizing breakthroughs across AI, genomics, and medicine. Here's what it means for developers and the research ecosystem.
Google Research's Open Science Gambit: What It Actually Means for Developers
Google's pushing open science hard, but the real story is how agentic AI workflows might reshape research collaboration for the rest of us.
The Genie and the Tar Pit: Can AI Coding Assistants Build for the Future?
As AI coding tools evolve from assistants to autonomous agents, the fundamental question remains: can they build software that lasts, or just code that runs?
The Fundamental Shift: Why Verification Speed Matters More Than Code Generation
AI coding tools are everywhere now. But the game isn't about generating code faster anymore. It's about knowing if that code is right.
Google's ERA is Quietly Proving AI Can Actually Do Science
Google Research's Empirical Research Assistance moves beyond proofs-of-concept into real epidemiology, cosmology, and neuroscience applications
Treating Prompts Like Code: What SPDD Gets Right About AI-Assisted Development
Thoughtworks' Structured Prompt-Driven Development treats prompts as version-controlled artifacts. Here's why that matters more than typing faster.
Treating AI Prompts Like Code: What I Learned From Thoughtworks' SPDD Method
Thoughtworks turned AI coding assistants into team assets with Structured Prompt-Driven Development. Here's why versioned prompts might matter more than speed.