You've heard the promises of AI: lower overhead, 24/7 support and sales—an ideal employee at the other end of every call. You wrote a request for proposal (RFP) and every proposal promises the same ...

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...

Famed San Francisco-based startup accelerator and venture capital firm Y Combinator says that one AI model provider has overtaken OpenAI in popularity among the accelerator’s latest batch of startups, ...

Perplexity offers a minimalist, search-like interface that backs up its statements with citations and references. In ...

In recent years, Large Language Models (LLMs) have dominated mainstream attention for their ability to generate human-like responses, and complete tasks ranging from summarizing documents to coding ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

For HR teams looking to adopt AI effectively, understanding and leveraging data is essential, not only to evaluate the right tools, but also to unlock their full potential. The Fast Company Executive ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.

By consolidating workflows, the platform helps reduce context switching—the quiet productivity killer in knowledge work.

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them to misjudge how people behave in strategic situations.

APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...