Anthropic's Claude Code now requires less human oversight, shifting to an automated coding approach.

Midnight's zero-knowledge L1 offers privacy, but its developer setup is a minefield of versioning and environment issues.

The rapid, uncoordinated expansion of AI models risks degrading the open, shared data and computational resources essential for future innovation.

Hiring AI agents requires evaluating more than just raw intelligence; character matters for true collaboration.

Leverage Large Language Models to rapidly acquire knowledge in complex domains, from concept explanation to practical application.

OpenAI explains its Codex model's effective context window limit is due to cache read costs, not a pricing strategy.

A new perspective argues nonprofits must proactively shape AI's future, moving beyond tech for tech's sake to ensure ethical, human-centered applications.

While infrastructure for AI agents solidifies, the critical ability to make sound, context-aware decisions still lags.

A new open-source tool tracks changes to text edited by humans and AI agents, revealing who wrote what and when.

As AI agents grow more capable, their ability to confirm task success remains a significant hurdle, leading to subtle but persistent failures.