A viral-style DeepSeek conspiracy story is a useful reminder: the more cinematic an AI claim feels, the more aggressively readers should separate narrative from evidence.

Marco Argenti’s HBR piece makes the right point: the durable advantage in an AI-shaped workplace is not a static skillset. It is the mindset to keep learning, questioning, and redesigning the work itself.

The New Stack tested Anthropic’s new dynamic workflows feature in Claude Code, and the result is a useful reality check

  When you see Claude Code and Codex in the same sentence, there is a good chance the article you

Anthropic says AI is already accelerating AI development. Here is why recursive self-improvement matters for business, safety, and the future of work.

Anthropic’s Claude Skills show where AI work is heading: away from one-off prompts and toward reusable workflows that capture business process, standards, and domain knowledge.

Agent Arena and Scale Labs both measure AI model quality, but they answer different questions. One focuses on real agent workflows. The other maps the broader benchmark landscape.

There is a pervasive myth in the tech world that working with Large Language Models (LLMs) requires a deep background

Asus has pulled the curtain back on a machine that feels less like a mini PC and more like a

Search Engine Journal’s latest piece is blunt: white-collar work is moving toward automation faster than most people want to admit.

NVIDIA’s new DGX Station for Windows is a blunt statement about where AI is headed: closer to the people who