Local LLM performance is often quoted in tokens per second, but this metric hides crucial details about concurrency and actual user experience.

A developer's custom LLM agent unexpectedly racks up a massive token bill for a single task, revealing hidden costs.

A new benchmark reveals most AI models fail critical reviews, simply parroting input documents instead of providing genuine analysis.

US adults under 30 show a significant increase in AI job concerns, with 73% expecting fewer jobs.

A new tool, ModelMap, offers a dynamic, animated way to explore the complex architectures of HuggingFace AI models.

The latest GLM model demonstrates significant advancements across a broad spectrum of AI analysis tasks, setting new benchmarks.

Claude-enabled agents participated in a hackathon, achieving a significant binder hit rate, but the results signal progress in AI tooling, not faster drug discovery.

New research maps user attitudes, showing rapid adoption outpaces trust and a small but vocal group of AI 'maximizers'.

Google's AI Overviews and AI Mode are evolving search, impacting recipe publisher visibility and user engagement.

A Reddit discussion highlights the ethical quandary of AI in military decision-making, questioning human limitations in combat.