As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...

In updated tests published to the Humanity's Last Exam website, Gemini's 3.1 Pro model achieved 45.9 percent accuracy, with a ...

Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds ...

The rivalry between Qwen 3.5 and Sonnet 4.5 highlights the shifting priorities in large language model development. Qwen 3.5, ...

AI development is often framed as a race among countries, companies and academic researchers. But figuring out who’s actually ...

February brought new coding models, and vision-language models impress with OCR. Open Responses aims to establish itself as a ...

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The ...

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, ...

Anthropic's new AI Exposure Index ranks computer programmers as the most vulnerable to LLM automation, with 75% of tasks ...

Researchers debut "Humanity’s Last Exam," a benchmark of 2,500 expert-level questions that current AI models are failing.