The Gradient publishes in-depth essays on artificial intelligence, machine learning, and their intersections with mathematics, ethics, philosophy, and real-world applications. Recent pieces explore AI alignment, the limitations of multimodal models, the evolving role of mathematics in ML research, gender bias in AI systems, and practical uses of large language models in finance and autonomous vehicles.
Useful for AI researchers, engineers, philosophers, and anyone seeking thoughtful, technical analysis beyond surface-level news.