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 ...

The post Stop Guessing: Google Now Ranks the Best AI for Android Coding appeared first on Android Headlines.

The data shows that AI adoption improves delivery speed across the board, especially for lower-performing teams. But it also highlights a clear pattern: teams that already struggle with slow reviews, ...

SAN FRANCISCO (Reuters) - Artificial intelligence group MLCommons unveiled two new benchmarks that it said can help determine how quickly top-of-the-line hardware and software can run AI applications.

Alibaba Qwen 3.5 Small models run offline on phones and laptops; 0.8B and 2B sizes, with mixed reliability on hard tasks.

Researchers are racing to develop more challenging, interpretable, and fair assessments of AI models that reflect real-world use cases. The stakes are high. Benchmarks are often reduced to leaderboard ...

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Google has introduced a leaderboard that benchmarks how well AI models handle Android mobile development tasks.

Anthropic researchers say Claude Opus 4.6 showed unusual behaviour during a BrowseComp evaluation. The model suspected it was ...

Independent evaluation shows 94% accuracy on legacy code comprehension - 20 points ahead of GPT-4o NEW YORK, NY, UNITED ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...