Articles
A curated summary of the most important AI developments each week.
Codex vs Claude Code: Who's Winning?
March 25, 2026
Codex is scaling fast and OpenAI is consolidating products, while Anthropic is shipping Claude Code safety and review systems with unusual engineering transparency.
Idle GPUs Are Costing the AI Industry Billions
March 24, 2026
Gimlet Labs raised \$80M to route AI workloads across heterogeneous hardware - closing the gap between 20% utilization and what the hardware can actually do.
Next.js 16.2 Redesigns Itself for AI Agents
March 21, 2026
Next.js 16.2 ships four changes built for AI agents: AGENTS.md with version-matched docs, browser log forwarding, a dev server lock file, and Agent DevTools.
Agent as a Service Has Arrived. SaaS Did Not See It Coming.
March 20, 2026
NVIDIA wrapped OpenClaw in enterprise-grade security with NemoClaw. Local-first inference, policy-based sandboxing, and a privacy router in one command.
OpenAI Bets on Tiny AI With Parameter Golf
March 20, 2026
OpenAI's Parameter Golf asks researchers to build a capable language model under 16MB for \$1M in compute. The real story is the edge AI race it confirms.
Google Unleashes AI Agents in Colab
March 18, 2026
Google released the Colab MCP Server, enabling AI agents to directly control notebooks and train models without infrastructure setup.
MiniMax M2.7 Built Itself. The Race Shifted.
March 18, 2026
MiniMax M2.7 participated in its own training loop and matched GPT-5.3-Codex on engineering benchmarks. Chinese labs are no longer following the frontier.
AI Skills Are the New Requirement for Developers
March 17, 2026
The tech stack that makes you hireable updates every few years. AI is the current wave. Developers who learn to direct these tools compound their advantage.
NVIDIA Kimodo Turns Text Into Motion
March 17, 2026
NVIDIA shipped Kimodo: a motion generation model trained on 700 hours of mocap that converts text and spatial constraints into realistic 3D motion.
The VC Subsidy Behind Cheap AI Will Not Last
March 15, 2026
OpenAI burns $14 billion a year. AI feels cheap because VCs fill the gap. The engineers building on current prices should ask how long that holds.