artificial-intelligence.
72 writings found
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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.
Permission Hungry Agents and the Return to First Principles
ThoughtWorks Radar 34 reveals AI's paradox: tools that generate complexity at speed while forcing us back to security basics and software fundamentals.
Permission Hungry Agents and the Return to First Principles
ThoughtWorks Radar 34 reveals AI's paradox: we're racing forward while rediscovering software fundamentals, and our security models aren't ready.
Permission Hungry Agents and the Return to First Principles
ThoughtWorks' latest radar reveals AI isn't just pushing us forward, it's forcing us back to fundamentals like clean code and security basics.
DeepSeek V4: The Frontier Model That Costs Almost Nothing
DeepSeek drops V4 models that rival GPT and Gemini at a fraction of the cost. The efficiency gains are staggering, and they might run on my laptop.
Facebook's Hybrid Search: When Keywords Meet Neural Embeddings
Meta rebuilt Facebook Groups search by merging traditional keyword matching with dense vector embeddings, then used Llama 3 to validate the results at scale.
Reading Code in the Age of AI: Why Human Review Still Matters
ThoughtWorks Radar reveals AI's paradox: tools generate complexity faster than we can understand it. Time to revisit fundamentals.
The Permission Hungry Dilemma: When AI Agents Want Access to Everything
ThoughtWorks Radar 34 highlights a fundamental tension: the most useful AI agents need broad access, but our security guardrails haven't caught up yet.
Meta's AI Agents Are Now Fixing Their Own Performance Problems
How Meta built a unified AI platform that automates finding and fixing performance issues, recovering hundreds of megawatts without scaling headcount.